2024-04-03T16:01:12.1499911Z Current runner version: '2.315.0' 2024-04-03T16:01:12.1507338Z Runner name: 'i-06869fb5dcd507b40' 2024-04-03T16:01:12.1508155Z Runner group name: 'Default' 2024-04-03T16:01:12.1509105Z Machine name: 'ip-10-0-58-125' 2024-04-03T16:01:12.1513448Z ##[group]GITHUB_TOKEN Permissions 2024-04-03T16:01:12.1515701Z Actions: read 2024-04-03T16:01:12.1516225Z Checks: read 2024-04-03T16:01:12.1516784Z Contents: read 2024-04-03T16:01:12.1517248Z Deployments: read 2024-04-03T16:01:12.1517771Z Discussions: read 2024-04-03T16:01:12.1518351Z Issues: read 2024-04-03T16:01:12.1518799Z Metadata: read 2024-04-03T16:01:12.1519299Z Packages: read 2024-04-03T16:01:12.1519815Z Pages: read 2024-04-03T16:01:12.1520262Z PullRequests: read 2024-04-03T16:01:12.1520827Z RepositoryProjects: read 2024-04-03T16:01:12.1521462Z SecurityEvents: read 2024-04-03T16:01:12.1521947Z Statuses: read 2024-04-03T16:01:12.1522452Z ##[endgroup] 2024-04-03T16:01:12.1526106Z Secret source: None 2024-04-03T16:01:12.1527043Z Prepare workflow directory 2024-04-03T16:01:13.1107731Z Prepare all required actions 2024-04-03T16:01:13.1294306Z Getting action download info 2024-04-03T16:01:13.2918211Z Download action repository 'pytorch/test-infra@main' (SHA:f5543b9b2d7b7c7b8eccd6576b68fc0472b1fbde) 2024-04-03T16:01:13.7023014Z Download action repository 'pytorch/pytorch@main' (SHA:74b3a7920ef9b96315ef20adef858b00cc067af6) 2024-04-03T16:01:17.0972828Z Download action repository 'aws-actions/configure-aws-credentials@v3' (SHA:50ac8dd1e1b10d09dac7b8727528b91bed831ac0) 2024-04-03T16:01:17.2602170Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2024-04-03T16:01:17.6009435Z Getting action download info 2024-04-03T16:01:17.6863791Z Download action repository 'malfet/checkout@silent-checkout' (SHA:e07af140b3ccefc05679e3755b9db68f4ee4589c) 2024-04-03T16:01:17.9680855Z Getting action download info 2024-04-03T16:01:18.0580727Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2024-04-03T16:01:18.2990468Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/pull/123154/merge (4302cb7ecb2b1ae758f931ad18aeedf6ae927cb0) 2024-04-03T16:01:18.2992816Z ##[group] Inputs 2024-04-03T16:01:18.2993278Z build-environment: linux-focal-py3.12-clang10 2024-04-03T16:01:18.2994700Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}]} 2024-04-03T16:01:18.2996611Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:01:18.2997600Z sync-tag: 2024-04-03T16:01:18.2998377Z timeout-minutes: 600 2024-04-03T16:01:18.2998699Z use-gha: 2024-04-03T16:01:18.2998958Z dashboard-tag: 2024-04-03T16:01:18.2999279Z s3-bucket: gha-artifacts 2024-04-03T16:01:18.2999629Z aws-role-to-assume: 2024-04-03T16:01:18.2999930Z ##[endgroup] 2024-04-03T16:01:18.3000670Z Complete job name: linux-focal-py3.12-clang10 / test (default, 1, 3, linux.2xlarge) 2024-04-03T16:01:18.3826770Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2024-04-03T16:01:18.3827339Z with: 2024-04-03T16:01:18.3828021Z github-secret: *** 2024-04-03T16:01:18.3828973Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2024-04-03T16:01:18.3829997Z activate-with-label: false 2024-04-03T16:01:18.3830347Z label: with-ssh 2024-04-03T16:01:18.3830665Z remove-existing-keys: true 2024-04-03T16:01:18.3831017Z env: 2024-04-03T16:01:18.3831269Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:01:18.3831600Z ##[endgroup] 2024-04-03T16:01:18.4769288Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2024-04-03T16:01:18.8508715Z Grabbing public ssh keys from https://github.com/caic99.keys 2024-04-03T16:01:18.9304619Z ~/.ssh/authorized_keys file found on node, removing ~/.ssh and starting fresh 2024-04-03T16:01:18.9318578Z Public keys pulled and installed to /home/ec2-user/.ssh/authorized_keys 2024-04-03T16:01:18.9345034Z Login using: ssh ec2-user@ec2-54-146-216-54.compute-1.amazonaws.com 2024-04-03T16:01:18.9345853Z All testing is done inside the container, to start an interactive session run: 2024-04-03T16:01:18.9346664Z docker exec -it $(docker container ps --format '{{.ID}}') bash 2024-04-03T16:01:18.9618075Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2024-04-03T16:01:18.9618614Z with: 2024-04-03T16:01:18.9618875Z submodules: recursive 2024-04-03T16:01:18.9619193Z fetch-depth: 0 2024-04-03T16:01:18.9619449Z env: 2024-04-03T16:01:18.9619699Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:01:18.9620025Z ##[endgroup] 2024-04-03T16:01:18.9840573Z ##[group]Run retry () { 2024-04-03T16:01:18.9840989Z retry () { 2024-04-03T16:01:18.9841490Z  $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*) 2024-04-03T16:01:18.9842040Z } 2024-04-03T16:01:18.9842330Z echo "${GITHUB_WORKSPACE}" 2024-04-03T16:01:18.9842735Z if [ -z "${NO_SUDO}" ]; then 2024-04-03T16:01:18.9843182Z  retry sudo rm -rf "${GITHUB_WORKSPACE}" 2024-04-03T16:01:18.9843621Z else 2024-04-03T16:01:18.9843946Z  retry rm -rf "${GITHUB_WORKSPACE}" 2024-04-03T16:01:18.9844343Z fi 2024-04-03T16:01:18.9844683Z mkdir "${GITHUB_WORKSPACE}" 2024-04-03T16:01:18.9868880Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:01:18.9869402Z env: 2024-04-03T16:01:18.9869655Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:01:18.9869980Z NO_SUDO: 2024-04-03T16:01:18.9870240Z ##[endgroup] 2024-04-03T16:01:18.9965235Z /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-04-03T16:01:22.1455927Z ##[group]Run malfet/checkout@silent-checkout 2024-04-03T16:01:22.1456407Z with: 2024-04-03T16:01:22.1456712Z ref: d253bd7befc64137de913dbb8727b511f1052411 2024-04-03T16:01:22.1457153Z fetch-depth: 0 2024-04-03T16:01:22.1457447Z submodules: recursive 2024-04-03T16:01:22.1457756Z quiet-checkout: true 2024-04-03T16:01:22.1458087Z repository: pytorch/pytorch 2024-04-03T16:01:22.1458575Z token: *** 2024-04-03T16:01:22.1458832Z ssh-strict: true 2024-04-03T16:01:22.1459146Z persist-credentials: true 2024-04-03T16:01:22.1459488Z clean: true 2024-04-03T16:01:22.1459791Z sparse-checkout-cone-mode: true 2024-04-03T16:01:22.1460165Z lfs: false 2024-04-03T16:01:22.1460448Z set-safe-directory: true 2024-04-03T16:01:22.1460755Z env: 2024-04-03T16:01:22.1461010Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:01:22.1461338Z ##[endgroup] 2024-04-03T16:01:22.2400500Z Syncing repository: pytorch/pytorch 2024-04-03T16:01:22.2402132Z ##[group]Getting Git version info 2024-04-03T16:01:22.2402874Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2024-04-03T16:01:22.2403743Z [command]/usr/bin/git version 2024-04-03T16:01:22.2404089Z git version 2.40.1 2024-04-03T16:01:22.2422227Z ##[endgroup] 2024-04-03T16:01:22.2436226Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/49ebb40e-3686-4e7a-a526-3cae98a79655' before making global git config changes 2024-04-03T16:01:22.2437499Z Adding repository directory to the temporary git global config as a safe directory 2024-04-03T16:01:22.2440317Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-04-03T16:01:22.2477364Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2024-04-03T16:01:22.2481052Z ##[group]Initializing the repository 2024-04-03T16:01:22.2483797Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-04-03T16:01:22.2614753Z hint: Using 'master' as the name for the initial branch. This default branch name 2024-04-03T16:01:22.2616665Z hint: is subject to change. To configure the initial branch name to use in all 2024-04-03T16:01:22.2617649Z hint: of your new repositories, which will suppress this warning, call: 2024-04-03T16:01:22.2618202Z hint: 2024-04-03T16:01:22.2660759Z hint: git config --global init.defaultBranch 2024-04-03T16:01:22.2661308Z hint: 2024-04-03T16:01:22.2661812Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2024-04-03T16:01:22.2663284Z hint: 'development'. The just-created branch can be renamed via this command: 2024-04-03T16:01:22.2664442Z hint: 2024-04-03T16:01:22.2664744Z hint: git branch -m 2024-04-03T16:01:22.2665505Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2024-04-03T16:01:22.2666988Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2024-04-03T16:01:22.2668181Z ##[endgroup] 2024-04-03T16:01:22.2668715Z ##[group]Disabling automatic garbage collection 2024-04-03T16:01:22.2669277Z [command]/usr/bin/git config --local gc.auto 0 2024-04-03T16:01:22.2687727Z ##[endgroup] 2024-04-03T16:01:22.2688205Z ##[group]Setting up auth 2024-04-03T16:01:22.2693178Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2024-04-03T16:01:22.2720781Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2024-04-03T16:01:22.2946975Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2024-04-03T16:01:22.2973962Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2024-04-03T16:01:22.3203998Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2024-04-03T16:01:22.3244942Z ##[endgroup] 2024-04-03T16:01:22.3245482Z ##[group]Fetching the repository 2024-04-03T16:01:22.3251216Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --progress --no-recurse-submodules --quiet origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2024-04-03T16:01:33.2981656Z remote: Enumerating objects: 1123753 2024-04-03T16:01:33.2982617Z remote: Enumerating objects: 1124401, done. 2024-04-03T16:01:33.2986690Z remote: 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Compressing objects: 96% (344/358) 2024-04-03T16:01:33.4623315Z remote: Compressing objects: 97% (348/358) 2024-04-03T16:01:33.4623832Z remote: Compressing objects: 98% (351/358) 2024-04-03T16:01:33.4624349Z remote: Compressing objects: 99% (355/358) 2024-04-03T16:01:33.4624873Z remote: Compressing objects: 100% (358/358) 2024-04-03T16:01:33.4625429Z remote: Compressing objects: 100% (358/358), done. 2024-04-03T16:01:55.2840189Z remote: Total 1124401 (delta 362), reused 515 (delta 290), pack-reused 1123753 2024-04-03T16:02:25.7021834Z [command]/usr/bin/git rev-parse --verify --quiet d253bd7befc64137de913dbb8727b511f1052411^{object} 2024-04-03T16:02:25.7044753Z d253bd7befc64137de913dbb8727b511f1052411 2024-04-03T16:02:25.7049300Z ##[endgroup] 2024-04-03T16:02:25.7050066Z ##[group]Determining the checkout info 2024-04-03T16:02:25.7050999Z ##[endgroup] 2024-04-03T16:02:25.7051510Z ##[group]Checking out the ref 2024-04-03T16:02:25.7053642Z [command]/usr/bin/git checkout --quiet --force d253bd7befc64137de913dbb8727b511f1052411 2024-04-03T16:02:27.1027684Z ##[endgroup] 2024-04-03T16:02:27.1043328Z ##[group]Setting up auth for fetching submodules 2024-04-03T16:02:27.1044788Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2024-04-03T16:02:27.1078164Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2024-04-03T16:02:27.1104401Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2024-04-03T16:02:27.1130948Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2024-04-03T16:02:27.1154378Z ##[endgroup] 2024-04-03T16:02:27.1154889Z ##[group]Fetching submodules 2024-04-03T16:02:27.1157863Z [command]/usr/bin/git submodule sync --recursive 2024-04-03T16:02:27.1418155Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2024-04-03T16:02:27.1661524Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2024-04-03T16:02:27.1663694Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2024-04-03T16:02:27.1665341Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2024-04-03T16:02:27.1666878Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2024-04-03T16:02:27.1669024Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK' 2024-04-03T16:02:27.1671805Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2024-04-03T16:02:27.1673883Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2024-04-03T16:02:27.1676297Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2024-04-03T16:02:27.1678847Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2024-04-03T16:02:27.1681464Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' 2024-04-03T16:02:27.1684333Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2024-04-03T16:02:27.1687066Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2024-04-03T16:02:27.1689937Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen' 2024-04-03T16:02:27.1692971Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2024-04-03T16:02:27.1696344Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2024-04-03T16:02:27.1699438Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2024-04-03T16:02:27.1702912Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi' 2024-04-03T16:02:27.1706727Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2024-04-03T16:02:27.1710086Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo' 2024-04-03T16:02:27.1713886Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2024-04-03T16:02:27.1717888Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2024-04-03T16:02:27.1722294Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake' 2024-04-03T16:02:27.1726515Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2024-04-03T16:02:27.1730920Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2024-04-03T16:02:27.1735604Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2024-04-03T16:02:27.1740179Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl' 2024-04-03T16:02:27.1745260Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse' 2024-04-03T16:02:27.1750003Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2024-04-03T16:02:27.1754792Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2024-04-03T16:02:27.1759949Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt' 2024-04-03T16:02:27.1765061Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2024-04-03T16:02:27.1770277Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2024-04-03T16:02:27.1775705Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2024-04-03T16:02:27.1781319Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2024-04-03T16:02:27.1787535Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2024-04-03T16:02:27.1793195Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2024-04-03T16:02:27.1798726Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2024-04-03T16:02:27.1804437Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb' 2024-04-03T16:02:27.1810650Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2024-04-03T16:02:27.1816725Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd' 2024-04-03T16:02:27.1840277Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2024-04-03T16:02:27.5096775Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2024-04-03T16:02:27.7460292Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2024-04-03T16:02:27.9680985Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2024-04-03T16:02:28.2702458Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/QNNPACK'... 2024-04-03T16:02:28.5770923Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2024-04-03T16:02:30.8334995Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2024-04-03T16:02:43.1876951Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2024-04-03T16:02:43.6535403Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2024-04-03T16:02:44.3140322Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cub'... 2024-04-03T16:02:45.8080609Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2024-04-03T16:02:47.0890011Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2024-04-03T16:02:49.7692648Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'... 2024-04-03T16:02:55.4043446Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2024-04-03T16:02:56.6477798Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2024-04-03T16:02:58.5484524Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2024-04-03T16:03:00.0280385Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/foxi'... 2024-04-03T16:03:00.2629187Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2024-04-03T16:03:00.7642992Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2024-04-03T16:03:01.1775105Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2024-04-03T16:03:02.6885163Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2024-04-03T16:03:03.1247795Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ios-cmake'... 2024-04-03T16:03:03.3610418Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2024-04-03T16:03:03.6697068Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2024-04-03T16:03:05.1865600Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2024-04-03T16:03:05.9485530Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nccl/nccl'... 2024-04-03T16:03:06.6195691Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/neon2sse'... 2024-04-03T16:03:06.9818162Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2024-04-03T16:03:13.7465253Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2024-04-03T16:03:16.2178920Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt'... 2024-04-03T16:03:16.7774893Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2024-04-03T16:03:17.0404909Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2024-04-03T16:03:25.7005419Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2024-04-03T16:03:25.9484306Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2024-04-03T16:03:26.2317229Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2024-04-03T16:03:27.2590414Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2024-04-03T16:03:27.6366023Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2024-04-03T16:03:28.2900709Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tbb'... 2024-04-03T16:03:30.1987203Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2024-04-03T16:03:30.6769618Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/zstd'... 2024-04-03T16:03:33.3281872Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2024-04-03T16:03:33.3383126Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2024-04-03T16:03:33.3459020Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2024-04-03T16:03:33.3666967Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2024-04-03T16:03:33.3876899Z Submodule path 'third_party/QNNPACK': checked out '7d2a4e9931a82adc3814275b6219a03e24e36b4c' 2024-04-03T16:03:33.4200169Z Submodule path 'third_party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191' 2024-04-03T16:03:34.2610085Z Submodule path 'third_party/XNNPACK': checked out 'fcbf55af6cf28a4627bcd1f703ab7ad843f0f3a2' 2024-04-03T16:03:34.2805505Z Submodule path 'third_party/benchmark': checked out '0d98dba29d66e93259db7daa53a9327df767a415' 2024-04-03T16:03:34.3665971Z Submodule path 'third_party/cpuinfo': checked out 'd6860c477c99f1fce9e28eb206891af3c0e1a1d7' 2024-04-03T16:03:34.3987636Z Submodule path 'third_party/cub': checked out 'd106ddb991a56c3df1b6d51b2409e36ba8181ce4' 2024-04-03T16:03:34.4235452Z Submodule path 'third_party/cudnn_frontend': checked out '150798fe976556078f443fdb059a1ff0361f58a2' 2024-04-03T16:03:34.8810588Z Submodule path 'third_party/cutlass': checked out 'bbe579a9e3beb6ea6626d9227ec32d0dae119a49' 2024-04-03T16:03:35.1137366Z Submodule path 'third_party/eigen': checked out '3147391d946bb4b6c68edd901f2add6ac1f31f8c' 2024-04-03T16:03:35.1772049Z Submodule path 'third_party/fbgemm': checked out 'dbc3157bf256f1339b3fa1fef2be89ac4078be0e' 2024-04-03T16:03:35.1788981Z Submodule 'third_party/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/third_party/asmjit' 2024-04-03T16:03:35.1790793Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/third_party/cpuinfo' 2024-04-03T16:03:35.1792359Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/fbgemm/third_party/cutlass' 2024-04-03T16:03:35.1794276Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/third_party/googletest' 2024-04-03T16:03:35.1797003Z Submodule 'third_party/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/third_party/hipify_torch' 2024-04-03T16:03:35.1821680Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/asmjit'... 2024-04-03T16:03:36.2257437Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cpuinfo'... 2024-04-03T16:03:36.8191941Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cutlass'... 2024-04-03T16:03:39.3068722Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/googletest'... 2024-04-03T16:03:40.5293349Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/hipify_torch'... 2024-04-03T16:03:40.8619167Z Submodule path 'third_party/fbgemm/third_party/asmjit': checked out 'd3fbf7c9bc7c1d1365a94a45614b91c5a3706b81' 2024-04-03T16:03:40.9509156Z Submodule path 'third_party/fbgemm/third_party/cpuinfo': checked out 'ed8b86a253800bafdb7b25c5c399f91bff9cb1f3' 2024-04-03T16:03:41.3309496Z Submodule path 'third_party/fbgemm/third_party/cutlass': checked out 'fc9ebc645b63f3a6bc80aaefde5c063fb72110d6' 2024-04-03T16:03:41.3908506Z Submodule path 'third_party/fbgemm/third_party/googletest': checked out 'cbf019de22c8dd37b2108da35b2748fd702d1796' 2024-04-03T16:03:41.4016091Z Submodule path 'third_party/fbgemm/third_party/hipify_torch': checked out '23f53b025b466d8ec3c45d52290d3442f7fbe6b1' 2024-04-03T16:03:41.5037812Z Submodule path 'third_party/flatbuffers': checked out '01834de25e4bf3975a9a00e816292b1ad0fe184b' 2024-04-03T16:03:41.5368491Z Submodule path 'third_party/fmt': checked out 'e69e5f977d458f2650bb346dadf2ad30c5320281' 2024-04-03T16:03:41.5459171Z Submodule path 'third_party/foxi': checked out 'c278588e34e535f0bb8f00df3880d26928038cad' 2024-04-03T16:03:41.5840112Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2024-04-03T16:03:41.6063686Z Submodule path 'third_party/gloo': checked out '5354032ea08eadd7fc4456477f7f7c6308818509' 2024-04-03T16:03:41.6502317Z Submodule path 'third_party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2024-04-03T16:03:41.6624908Z Submodule path 'third_party/ideep': checked out '8a6cc4e09dc509f04f83c085e38786b1fb44e14d' 2024-04-03T16:03:41.6640364Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2024-04-03T16:03:41.6662428Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2024-04-03T16:03:53.6850866Z Submodule path 'third_party/ideep/mkl-dnn': checked out '86e6af5974177e513fd3fee58425e1063e7f1361' 2024-04-03T16:03:53.6945958Z Submodule path 'third_party/ios-cmake': checked out '8abaed637d56f1337d6e1d2c4026e25c1eade724' 2024-04-03T16:03:53.7096807Z Submodule path 'third_party/ittapi': checked out '5b8a7d7422611c3a0d799fb5fc5dd4abfae35b42' 2024-04-03T16:03:53.8018533Z Submodule path 'third_party/kineto': checked out '8466a8b111b36dc725e6855d52a0b133d925a8e0' 2024-04-03T16:03:53.8033681Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2024-04-03T16:03:53.8035524Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2024-04-03T16:03:53.8037751Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2024-04-03T16:03:53.8059933Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2024-04-03T16:03:54.7855066Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2024-04-03T16:03:56.1821262Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2024-04-03T16:03:57.4535543Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2024-04-03T16:03:57.4549427Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-04-03T16:03:57.4551407Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-04-03T16:03:57.4554049Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-04-03T16:03:57.4556763Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-04-03T16:03:57.4559360Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-04-03T16:03:57.4562211Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-04-03T16:03:57.4565082Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-04-03T16:03:57.4568121Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-04-03T16:03:57.4592247Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2024-04-03T16:03:58.5581551Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2024-04-03T16:03:58.9218478Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2024-04-03T16:04:00.3029081Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2024-04-03T16:04:00.5755598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2024-04-03T16:04:00.9666075Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2024-04-03T16:04:02.2659828Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2024-04-03T16:04:08.9771552Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2024-04-03T16:04:09.4051313Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2024-04-03T16:04:09.4215786Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2024-04-03T16:04:09.4574312Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2024-04-03T16:04:09.4690781Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2024-04-03T16:04:09.4702706Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-04-03T16:04:09.4724538Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2024-04-03T16:04:09.7468815Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2024-04-03T16:04:09.7635039Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2024-04-03T16:04:09.7999784Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2024-04-03T16:04:09.8939358Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2024-04-03T16:04:09.9082060Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2024-04-03T16:04:09.9422244Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out 'a33701196adfad74917046096bf5a2aa0ab0bb50' 2024-04-03T16:04:09.9956350Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2024-04-03T16:04:10.0289228Z Submodule path 'third_party/mimalloc': checked out 'b66e3214d8a104669c2ec05ae91ebc26a8f5ab78' 2024-04-03T16:04:10.0499806Z Submodule path 'third_party/nccl/nccl': checked out '48bb7fec7953112ff37499a272317f6663f8f600' 2024-04-03T16:04:10.0630920Z Submodule path 'third_party/neon2sse': checked out '97a126f08ce318023be604d03f88bf0820a9464a' 2024-04-03T16:04:10.1619385Z Submodule path 'third_party/nlohmann': checked out '87cda1d6646592ac5866dc703c8e1839046a6806' 2024-04-03T16:04:10.4547747Z Submodule path 'third_party/onnx': checked out 'ccde5da81388ffa770ca98b64e07f803ad089414' 2024-04-03T16:04:10.4576864Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/onnx/third_party/benchmark' 2024-04-03T16:04:10.4578996Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2024-04-03T16:04:10.4601841Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/benchmark'... 2024-04-03T16:04:10.9050910Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2024-04-03T16:04:11.9030448Z Submodule path 'third_party/onnx/third_party/benchmark': checked out '2dd015dfef425c866d9a43f2c67d8b52d709acb6' 2024-04-03T16:04:11.9328878Z Submodule path 'third_party/onnx/third_party/pybind11': checked out '5b0a6fc2017fcc176545afe3e09c9f9885283242' 2024-04-03T16:04:11.9500480Z Submodule path 'third_party/onnx-tensorrt': checked out 'c153211418a7c57ce071d9ce2a41f8d1c85a878f' 2024-04-03T16:04:11.9514386Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx-tensorrt/third_party/onnx' 2024-04-03T16:04:11.9536738Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt/third_party/onnx'... 2024-04-03T16:04:14.6348212Z Submodule path 'third_party/onnx-tensorrt/third_party/onnx': checked out '765f5ee823a67a866f4bd28a9860e81f3c811ce8' 2024-04-03T16:04:14.6368252Z Submodule 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2024-04-03T16:04:23.8057418Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-04-03T16:04:23.8095832Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2024-04-03T16:04:23.8110333Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-04-03T16:04:23.8149522Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2024-04-03T16:04:23.8162042Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-04-03T16:04:23.8200485Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2024-04-03T16:04:23.8217475Z Entering 'third_party/zstd' 2024-04-03T16:04:23.8260242Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/zstd/config remote.origin.url 2024-04-03T16:04:23.9083452Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2024-04-03T16:04:23.9347500Z Entering 'android/libs/fbjni' 2024-04-03T16:04:23.9383414Z Entering 'third_party/FP16' 2024-04-03T16:04:23.9417781Z Entering 'third_party/FXdiv' 2024-04-03T16:04:23.9452344Z Entering 'third_party/NNPACK' 2024-04-03T16:04:23.9486875Z Entering 'third_party/QNNPACK' 2024-04-03T16:04:23.9521914Z Entering 'third_party/VulkanMemoryAllocator' 2024-04-03T16:04:23.9556194Z Entering 'third_party/XNNPACK' 2024-04-03T16:04:23.9606981Z Entering 'third_party/benchmark' 2024-04-03T16:04:23.9642037Z Entering 'third_party/cpuinfo' 2024-04-03T16:04:23.9678389Z Entering 'third_party/cub' 2024-04-03T16:04:23.9713047Z Entering 'third_party/cudnn_frontend' 2024-04-03T16:04:23.9746512Z Entering 'third_party/cutlass' 2024-04-03T16:04:23.9789570Z Entering 'third_party/eigen' 2024-04-03T16:04:23.9826569Z Entering 'third_party/fbgemm' 2024-04-03T16:04:23.9860803Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-04-03T16:04:23.9893979Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-04-03T16:04:23.9926736Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-04-03T16:04:23.9966231Z Entering 'third_party/fbgemm/third_party/googletest' 2024-04-03T16:04:23.9999982Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-04-03T16:04:24.0033166Z Entering 'third_party/flatbuffers' 2024-04-03T16:04:24.0070550Z Entering 'third_party/fmt' 2024-04-03T16:04:24.0105970Z Entering 'third_party/foxi' 2024-04-03T16:04:24.0140542Z Entering 'third_party/gemmlowp/gemmlowp' 2024-04-03T16:04:24.0174936Z Entering 'third_party/gloo' 2024-04-03T16:04:24.0209417Z Entering 'third_party/googletest' 2024-04-03T16:04:24.0244807Z Entering 'third_party/ideep' 2024-04-03T16:04:24.0278924Z Entering 'third_party/ideep/mkl-dnn' 2024-04-03T16:04:24.0319598Z Entering 'third_party/ios-cmake' 2024-04-03T16:04:24.0353750Z Entering 'third_party/ittapi' 2024-04-03T16:04:24.0388180Z Entering 'third_party/kineto' 2024-04-03T16:04:24.0423551Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-04-03T16:04:24.0457145Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-04-03T16:04:24.0491950Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-04-03T16:04:24.0525354Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-04-03T16:04:24.0559587Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-04-03T16:04:24.0594311Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-04-03T16:04:24.0628438Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-04-03T16:04:24.0661504Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-04-03T16:04:24.0695766Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-04-03T16:04:24.0730818Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-04-03T16:04:24.0766931Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-04-03T16:04:24.0800382Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-04-03T16:04:24.0834950Z Entering 'third_party/mimalloc' 2024-04-03T16:04:24.0871048Z Entering 'third_party/nccl/nccl' 2024-04-03T16:04:24.0906004Z Entering 'third_party/neon2sse' 2024-04-03T16:04:24.0940543Z Entering 'third_party/nlohmann' 2024-04-03T16:04:24.0975808Z Entering 'third_party/onnx' 2024-04-03T16:04:24.1028245Z Entering 'third_party/onnx/third_party/benchmark' 2024-04-03T16:04:24.1062954Z Entering 'third_party/onnx/third_party/pybind11' 2024-04-03T16:04:24.1098859Z Entering 'third_party/onnx-tensorrt' 2024-04-03T16:04:24.1133439Z Entering 'third_party/onnx-tensorrt/third_party/onnx' 2024-04-03T16:04:24.1172229Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark' 2024-04-03T16:04:24.1205936Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11' 2024-04-03T16:04:24.1240913Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2024-04-03T16:04:24.1279289Z Entering 'third_party/pocketfft' 2024-04-03T16:04:24.1314643Z Entering 'third_party/protobuf' 2024-04-03T16:04:24.1352172Z Entering 'third_party/protobuf/third_party/benchmark' 2024-04-03T16:04:24.1384370Z Entering 'third_party/protobuf/third_party/googletest' 2024-04-03T16:04:24.1418770Z Entering 'third_party/psimd' 2024-04-03T16:04:24.1453714Z Entering 'third_party/pthreadpool' 2024-04-03T16:04:24.1486333Z Entering 'third_party/pybind11' 2024-04-03T16:04:24.1520004Z Entering 'third_party/python-peachpy' 2024-04-03T16:04:24.1554073Z Entering 'third_party/sleef' 2024-04-03T16:04:24.1587633Z Entering 'third_party/tbb' 2024-04-03T16:04:24.1622619Z Entering 'third_party/tensorpipe' 2024-04-03T16:04:24.1657001Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-04-03T16:04:24.1689383Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-04-03T16:04:24.1720945Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-04-03T16:04:24.1756239Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-04-03T16:04:24.1787941Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-04-03T16:04:24.1823820Z Entering 'third_party/zstd' 2024-04-03T16:04:24.1869069Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2024-04-03T16:04:24.2122709Z Entering 'android/libs/fbjni' 2024-04-03T16:04:24.2154708Z Entering 'third_party/FP16' 2024-04-03T16:04:24.2187946Z Entering 'third_party/FXdiv' 2024-04-03T16:04:24.2220501Z Entering 'third_party/NNPACK' 2024-04-03T16:04:24.2254220Z Entering 'third_party/QNNPACK' 2024-04-03T16:04:24.2287119Z Entering 'third_party/VulkanMemoryAllocator' 2024-04-03T16:04:24.2319924Z Entering 'third_party/XNNPACK' 2024-04-03T16:04:24.2369055Z Entering 'third_party/benchmark' 2024-04-03T16:04:24.2402292Z Entering 'third_party/cpuinfo' 2024-04-03T16:04:24.2435475Z Entering 'third_party/cub' 2024-04-03T16:04:24.2468691Z Entering 'third_party/cudnn_frontend' 2024-04-03T16:04:24.2501147Z Entering 'third_party/cutlass' 2024-04-03T16:04:24.2541430Z Entering 'third_party/eigen' 2024-04-03T16:04:24.2575763Z Entering 'third_party/fbgemm' 2024-04-03T16:04:24.2608901Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-04-03T16:04:24.2640556Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-04-03T16:04:24.2672982Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-04-03T16:04:24.2709878Z Entering 'third_party/fbgemm/third_party/googletest' 2024-04-03T16:04:24.2740885Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-04-03T16:04:24.2773513Z Entering 'third_party/flatbuffers' 2024-04-03T16:04:24.2810120Z Entering 'third_party/fmt' 2024-04-03T16:04:24.2842444Z Entering 'third_party/foxi' 2024-04-03T16:04:24.2875851Z Entering 'third_party/gemmlowp/gemmlowp' 2024-04-03T16:04:24.2909219Z Entering 'third_party/gloo' 2024-04-03T16:04:24.2941720Z Entering 'third_party/googletest' 2024-04-03T16:04:24.2974506Z Entering 'third_party/ideep' 2024-04-03T16:04:24.3006378Z Entering 'third_party/ideep/mkl-dnn' 2024-04-03T16:04:24.3044599Z Entering 'third_party/ios-cmake' 2024-04-03T16:04:24.3077888Z Entering 'third_party/ittapi' 2024-04-03T16:04:24.3112040Z Entering 'third_party/kineto' 2024-04-03T16:04:24.3145560Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-04-03T16:04:24.3177932Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-04-03T16:04:24.3211366Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-04-03T16:04:24.3243700Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-04-03T16:04:24.3275981Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-04-03T16:04:24.3307110Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-04-03T16:04:24.3341081Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-04-03T16:04:24.3373637Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-04-03T16:04:24.3407245Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-04-03T16:04:24.3440360Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-04-03T16:04:24.3473372Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-04-03T16:04:24.3507226Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-04-03T16:04:24.3541138Z Entering 'third_party/mimalloc' 2024-04-03T16:04:24.3576335Z Entering 'third_party/nccl/nccl' 2024-04-03T16:04:24.3610288Z Entering 'third_party/neon2sse' 2024-04-03T16:04:24.3643545Z Entering 'third_party/nlohmann' 2024-04-03T16:04:24.3677908Z Entering 'third_party/onnx' 2024-04-03T16:04:24.3726288Z Entering 'third_party/onnx/third_party/benchmark' 2024-04-03T16:04:24.3760383Z Entering 'third_party/onnx/third_party/pybind11' 2024-04-03T16:04:24.3795032Z Entering 'third_party/onnx-tensorrt' 2024-04-03T16:04:24.3827481Z Entering 'third_party/onnx-tensorrt/third_party/onnx' 2024-04-03T16:04:24.3864094Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark' 2024-04-03T16:04:24.3896566Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11' 2024-04-03T16:04:24.3928595Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2024-04-03T16:04:24.3965306Z Entering 'third_party/pocketfft' 2024-04-03T16:04:24.3998935Z Entering 'third_party/protobuf' 2024-04-03T16:04:24.4035818Z Entering 'third_party/protobuf/third_party/benchmark' 2024-04-03T16:04:24.4067658Z Entering 'third_party/protobuf/third_party/googletest' 2024-04-03T16:04:24.4101099Z Entering 'third_party/psimd' 2024-04-03T16:04:24.4134551Z Entering 'third_party/pthreadpool' 2024-04-03T16:04:24.4167096Z Entering 'third_party/pybind11' 2024-04-03T16:04:24.4200373Z Entering 'third_party/python-peachpy' 2024-04-03T16:04:24.4233155Z Entering 'third_party/sleef' 2024-04-03T16:04:24.4266371Z Entering 'third_party/tbb' 2024-04-03T16:04:24.4300283Z Entering 'third_party/tensorpipe' 2024-04-03T16:04:24.4333634Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-04-03T16:04:24.4365506Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-04-03T16:04:24.4397087Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-04-03T16:04:24.4429357Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-04-03T16:04:24.4460243Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-04-03T16:04:24.4495283Z Entering 'third_party/zstd' 2024-04-03T16:04:24.4538291Z ##[endgroup] 2024-04-03T16:04:24.4571870Z [command]/usr/bin/git log -1 --format='%H' 2024-04-03T16:04:24.4595970Z 'd253bd7befc64137de913dbb8727b511f1052411' 2024-04-03T16:04:24.4766609Z Prepare all required actions 2024-04-03T16:04:24.4767248Z Getting action download info 2024-04-03T16:04:24.6244392Z ##[group]Run ./.github/actions/setup-linux 2024-04-03T16:04:24.6244844Z env: 2024-04-03T16:04:24.6245161Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:24.6245550Z ##[endgroup] 2024-04-03T16:04:24.6308853Z ##[group]Run set -euo pipefail 2024-04-03T16:04:24.6309315Z set -euo pipefail 2024-04-03T16:04:24.6309727Z function get_ec2_metadata() { 2024-04-03T16:04:24.6310302Z  # Pulled from instance metadata endpoint for EC2 2024-04-03T16:04:24.6311253Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2024-04-03T16:04:24.6312076Z  category=$1 2024-04-03T16:04:24.6312642Z  # If it is GCP runner (runner name contains gcp), do not run this 2024-04-03T16:04:24.6313556Z  runner_name_str=i-06869fb5dcd507b40 2024-04-03T16:04:24.6314161Z  if [[ $runner_name_str != *"gcp"* ]]; then 2024-04-03T16:04:24.6314865Z  curl -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2024-04-03T16:04:24.6315489Z  else 2024-04-03T16:04:24.6316047Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2024-04-03T16:04:24.6316697Z  fi 2024-04-03T16:04:24.6316996Z } 2024-04-03T16:04:24.6317384Z echo "ami-id: $(get_ec2_metadata ami-id)" 2024-04-03T16:04:24.6318004Z echo "instance-id: $(get_ec2_metadata instance-id)" 2024-04-03T16:04:24.6318691Z echo "instance-type: $(get_ec2_metadata instance-type)" 2024-04-03T16:04:24.6319297Z echo "system info $(uname -a)" 2024-04-03T16:04:24.6327619Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:04:24.6328163Z env: 2024-04-03T16:04:24.6328455Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:24.6328835Z ##[endgroup] 2024-04-03T16:04:24.6410701Z ami-id: ami-0ce0c36d7a00b20e2 2024-04-03T16:04:24.6464025Z instance-id: i-06869fb5dcd507b40 2024-04-03T16:04:24.6515438Z instance-type: c5.2xlarge 2024-04-03T16:04:24.6522712Z system info Linux ip-10-0-58-125.ec2.internal 4.14.336-257.562.amzn2.x86_64 #1 SMP Sat Feb 24 09:50:35 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2024-04-03T16:04:24.6545870Z ##[group]Run echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> $GITHUB_OUTPUT 2024-04-03T16:04:24.6546849Z echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> $GITHUB_OUTPUT 2024-04-03T16:04:24.6554478Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:04:24.6555014Z env: 2024-04-03T16:04:24.6555321Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:24.6555686Z ##[endgroup] 2024-04-03T16:04:24.6620351Z ##[group]Run if systemctl is-active --quiet docker; then 2024-04-03T16:04:24.6620935Z if systemctl is-active --quiet docker; then 2024-04-03T16:04:24.6621448Z  echo "Docker daemon is running..."; 2024-04-03T16:04:24.6621887Z else 2024-04-03T16:04:24.6622662Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2024-04-03T16:04:24.6623235Z fi 2024-04-03T16:04:24.6630225Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:04:24.6630710Z env: 2024-04-03T16:04:24.6630962Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:24.6631276Z ##[endgroup] 2024-04-03T16:04:24.6723912Z Docker daemon is running... 2024-04-03T16:04:24.6771708Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2024-04-03T16:04:24.6772292Z with: 2024-04-03T16:04:24.6772584Z shell: bash 2024-04-03T16:04:24.6772906Z timeout_minutes: 5 2024-04-03T16:04:24.6773237Z max_attempts: 3 2024-04-03T16:04:24.6773582Z retry_wait_seconds: 30 2024-04-03T16:04:24.6775302Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" 2024-04-03T16:04:24.6776946Z polling_interval_seconds: 1 2024-04-03T16:04:24.6777355Z warning_on_retry: true 2024-04-03T16:04:24.6777734Z continue_on_error: false 2024-04-03T16:04:24.6778084Z env: 2024-04-03T16:04:24.6778384Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:24.6778772Z AWS_RETRY_MODE: standard 2024-04-03T16:04:24.6779137Z AWS_MAX_ATTEMPTS: 5 2024-04-03T16:04:24.6779509Z AWS_DEFAULT_REGION: us-east-1 2024-04-03T16:04:24.6779909Z ##[endgroup] 2024-04-03T16:04:26.0282328Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-04-03T16:04:26.0283575Z Configure a credential helper to remove this warning. See 2024-04-03T16:04:26.0284459Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-04-03T16:04:26.0285037Z 2024-04-03T16:04:26.0285167Z Login Succeeded 2024-04-03T16:04:26.7331394Z Command completed after 1 attempt(s). 2024-04-03T16:04:26.7375359Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-04-03T16:04:26.7376320Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-04-03T16:04:26.7376975Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-04-03T16:04:26.7384897Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:04:26.7385393Z env: 2024-04-03T16:04:26.7385642Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:26.7385972Z ##[endgroup] 2024-04-03T16:04:26.7448682Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2024-04-03T16:04:26.7449494Z # ignore expansion of "docker ps -q" since it could be empty 2024-04-03T16:04:26.7450133Z # shellcheck disable=SC2046 2024-04-03T16:04:26.7450626Z docker stop $(docker ps -q) || true 2024-04-03T16:04:26.7451130Z # Prune all of the docker images 2024-04-03T16:04:26.7451619Z docker system prune -af 2024-04-03T16:04:26.7458955Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:04:26.7459502Z env: 2024-04-03T16:04:26.7459812Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:26.7460188Z ##[endgroup] 2024-04-03T16:04:26.7771717Z "docker stop" requires at least 1 argument. 2024-04-03T16:04:26.7772677Z See 'docker stop --help'. 2024-04-03T16:04:26.7773065Z 2024-04-03T16:04:26.7773809Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2024-04-03T16:04:26.7774289Z 2024-04-03T16:04:26.7774445Z Stop one or more running containers 2024-04-03T16:04:26.7964633Z Total reclaimed space: 0B 2024-04-03T16:04:26.7999815Z ##[group]Run set +e 2024-04-03T16:04:26.8000163Z set +e 2024-04-03T16:04:26.8000671Z set -x 2024-04-03T16:04:26.8000950Z  2024-04-03T16:04:26.8001253Z PT_DOMAIN=download.pytorch.org 2024-04-03T16:04:26.8002028Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2024-04-03T16:04:26.8003137Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2024-04-03T16:04:26.8003894Z # one is returned at random 2024-04-03T16:04:26.8004405Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2024-04-03T16:04:26.8004905Z  2024-04-03T16:04:26.8005191Z if [ -z "${RESOLVED_IP}" ]; then 2024-04-03T16:04:26.8005786Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2024-04-03T16:04:26.8006547Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2024-04-03T16:04:26.8007091Z  2024-04-03T16:04:26.8007399Z  if [ -z "${RESOLVED_IP}" ]; then 2024-04-03T16:04:26.8007923Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2024-04-03T16:04:26.8008416Z  exit 1 2024-04-03T16:04:26.8008707Z  fi 2024-04-03T16:04:26.8008952Z fi 2024-04-03T16:04:26.8009200Z  2024-04-03T16:04:26.8009530Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2024-04-03T16:04:26.8010165Z  # Clean up any old records first 2024-04-03T16:04:26.8010788Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2024-04-03T16:04:26.8011221Z fi 2024-04-03T16:04:26.8011459Z  2024-04-03T16:04:26.8011867Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2024-04-03T16:04:26.8012401Z cat /etc/hosts 2024-04-03T16:04:26.8020163Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:04:26.8020633Z env: 2024-04-03T16:04:26.8020886Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:26.8021210Z ##[endgroup] 2024-04-03T16:04:26.8043783Z + PT_DOMAIN=download.pytorch.org 2024-04-03T16:04:26.8049484Z ++ tail -n1 2024-04-03T16:04:26.8049973Z ++ dig -4 +short download.pytorch.org 2024-04-03T16:04:26.8294995Z + RESOLVED_IP=18.165.98.58 2024-04-03T16:04:26.8295583Z + '[' -z 18.165.98.58 ']' 2024-04-03T16:04:26.8296074Z + grep -r download.pytorch.org /etc/hosts 2024-04-03T16:04:26.8304340Z 18.160.41.124 download.pytorch.org 2024-04-03T16:04:26.8305000Z + sudo sed -i /download.pytorch.org/d /etc/hosts 2024-04-03T16:04:26.8403513Z + echo '18.165.98.58 download.pytorch.org' 2024-04-03T16:04:26.8404097Z + sudo tee -a /etc/hosts 2024-04-03T16:04:26.8488282Z 18.165.98.58 download.pytorch.org 2024-04-03T16:04:26.8501173Z + cat /etc/hosts 2024-04-03T16:04:26.8507523Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2024-04-03T16:04:26.8519754Z ::1 localhost6 localhost6.localdomain6 2024-04-03T16:04:26.8520270Z 18.165.98.58 download.pytorch.org 2024-04-03T16:04:26.8676163Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2024-04-03T16:04:26.8676753Z with: 2024-04-03T16:04:26.8677655Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:26.8678688Z docker-build-dir: .ci/docker 2024-04-03T16:04:26.8679053Z working-directory: . 2024-04-03T16:04:26.8679510Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-04-03T16:04:26.8680060Z force-push: false 2024-04-03T16:04:26.8680342Z env: 2024-04-03T16:04:26.8680609Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:26.8680922Z ##[endgroup] 2024-04-03T16:04:26.8700318Z ##[group]Run set -ex 2024-04-03T16:04:26.8700668Z set -ex 2024-04-03T16:04:26.8700947Z  2024-04-03T16:04:26.8701497Z # If the docker build directory or the build script doesn't exist, the action will 2024-04-03T16:04:26.8702687Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2024-04-03T16:04:26.8703489Z # job could then download the pre-built image as usual 2024-04-03T16:04:26.8704238Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then 2024-04-03T16:04:26.8704920Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2024-04-03T16:04:26.8705534Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2024-04-03T16:04:26.8706090Z  2024-04-03T16:04:26.8706605Z  echo "There is no Docker build script in ${REPO_NAME} repo, skipping..." 2024-04-03T16:04:26.8707232Z  exit 0 2024-04-03T16:04:26.8707503Z else 2024-04-03T16:04:26.8707852Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2024-04-03T16:04:26.8708327Z fi 2024-04-03T16:04:26.8708571Z  2024-04-03T16:04:26.8709031Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2024-04-03T16:04:26.8709900Z  # The docker image name already includes the ECR prefix and tag, so we can just 2024-04-03T16:04:26.8710667Z  # use it as it is, but first let's extract the tag 2024-04-03T16:04:26.8711372Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2024-04-03T16:04:26.8712102Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-04-03T16:04:26.8712782Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2024-04-03T16:04:26.8713480Z else 2024-04-03T16:04:26.8713899Z  DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2024-04-03T16:04:26.8714563Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-04-03T16:04:26.8715452Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-04-03T16:04:26.8716219Z fi 2024-04-03T16:04:26.8723728Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:04:26.8724220Z env: 2024-04-03T16:04:26.8724474Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:26.8724814Z REPO_NAME: pytorch 2024-04-03T16:04:26.8725769Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:26.8726786Z DOCKER_BUILD_DIR: .ci/docker 2024-04-03T16:04:26.8727275Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-04-03T16:04:26.8727789Z ##[endgroup] 2024-04-03T16:04:26.8749535Z + [[ ! -d .ci/docker ]] 2024-04-03T16:04:26.8749937Z + [[ ! -f .ci/docker/build.sh ]] 2024-04-03T16:04:26.8750412Z + echo skip=false 2024-04-03T16:04:26.8752050Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2024-04-03T16:04:26.8756091Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:26.8757088Z ++ awk -F '[:,]' '{print $2}' 2024-04-03T16:04:26.8764401Z + DOCKER_TAG=16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:26.8765106Z + echo docker-tag=16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:26.8767189Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:26.8794556Z ##[group]Run set +e 2024-04-03T16:04:26.8794913Z set +e 2024-04-03T16:04:26.8795189Z set -x 2024-04-03T16:04:26.8795457Z  2024-04-03T16:04:26.8795696Z login() { 2024-04-03T16:04:26.8796342Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2024-04-03T16:04:26.8797064Z } 2024-04-03T16:04:26.8797308Z  2024-04-03T16:04:26.8797559Z retry () { 2024-04-03T16:04:26.8797936Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2024-04-03T16:04:26.8798347Z } 2024-04-03T16:04:26.8798595Z  2024-04-03T16:04:26.8798890Z retry login "${DOCKER_REGISTRY}" 2024-04-03T16:04:26.8799274Z  2024-04-03T16:04:26.8799723Z # Check if image already exists, if it does then skip building it 2024-04-03T16:04:26.8800419Z if docker manifest inspect "${DOCKER_IMAGE}"; then 2024-04-03T16:04:26.8800915Z  exit 0 2024-04-03T16:04:26.8801186Z fi 2024-04-03T16:04:26.8801435Z  2024-04-03T16:04:26.8801920Z # NB: This part requires a full checkout. Otherwise, the merge base will 2024-04-03T16:04:26.8802738Z # be empty. The default action would be to continue rebuild the image 2024-04-03T16:04:26.8803477Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2024-04-03T16:04:26.8804138Z  # if we're on the base branch then use the parent commit 2024-04-03T16:04:26.8804710Z  MERGE_BASE=$(git rev-parse HEAD~) 2024-04-03T16:04:26.8805120Z else 2024-04-03T16:04:26.8805574Z  # otherwise we're on a PR, so use the most recent base commit 2024-04-03T16:04:26.8806256Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2024-04-03T16:04:26.8806747Z fi 2024-04-03T16:04:26.8806999Z  2024-04-03T16:04:26.8807285Z if [[ -z "${MERGE_BASE}" ]]; then 2024-04-03T16:04:26.8807775Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2024-04-03T16:04:26.8808361Z  2024-04-03T16:04:26.8809013Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2024-04-03T16:04:26.8809768Z  exit 0 2024-04-03T16:04:26.8810044Z fi 2024-04-03T16:04:26.8810297Z  2024-04-03T16:04:26.8810698Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2024-04-03T16:04:26.8811681Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2024-04-03T16:04:26.8812491Z  exit 1 2024-04-03T16:04:26.8812754Z fi 2024-04-03T16:04:26.8813001Z  2024-04-03T16:04:26.8813467Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2024-04-03T16:04:26.8814525Z # If no image exists but the hash is the same as the previous hash then we should error out here 2024-04-03T16:04:26.8815412Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2024-04-03T16:04:26.8816405Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2024-04-03T16:04:26.8817522Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2024-04-03T16:04:26.8818158Z fi 2024-04-03T16:04:26.8818413Z  2024-04-03T16:04:26.8818861Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2024-04-03T16:04:26.8826501Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:04:26.8826974Z env: 2024-04-03T16:04:26.8827227Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:26.8827569Z DOCKER_BUILD_DIR: .ci/docker 2024-04-03T16:04:26.8828004Z BASE_REVISION: 1d52c2d98507759a2143d52b922c541dbe36b6bf 2024-04-03T16:04:26.8829084Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:26.8830153Z DOCKER_TAG: 16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:26.8830739Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-04-03T16:04:26.8831235Z ##[endgroup] 2024-04-03T16:04:26.8852061Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-04-03T16:04:26.8852703Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-04-03T16:04:26.8854489Z + aws ecr get-login-password --region us-east-1 2024-04-03T16:04:26.8855394Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-04-03T16:04:27.3256005Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-04-03T16:04:27.3256944Z Configure a credential helper to remove this warning. See 2024-04-03T16:04:27.3257828Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-04-03T16:04:27.3258384Z 2024-04-03T16:04:27.3258491Z Login Succeeded 2024-04-03T16:04:27.3270432Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:27.5406191Z { 2024-04-03T16:04:27.5406894Z "schemaVersion": 2, 2024-04-03T16:04:27.5407547Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2024-04-03T16:04:27.5408313Z "config": { 2024-04-03T16:04:27.5408982Z "mediaType": "application/vnd.docker.container.image.v1+json", 2024-04-03T16:04:27.5409983Z "size": 39855, 2024-04-03T16:04:27.5411124Z "digest": "sha256:a8ca14bc9660b0839f6353f3845b009f0047e2e9cb92ed0547cfce8794ed8ff2" 2024-04-03T16:04:27.5412467Z }, 2024-04-03T16:04:27.5412747Z "layers": [ 2024-04-03T16:04:27.5413134Z { 2024-04-03T16:04:27.5413723Z "mediaType": 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"sha256:26a271d5636e71b377d05260dae2c2352c20a51b4cf29bd5e36850b71a1f8cb6" 2024-04-03T16:04:27.5667088Z } 2024-04-03T16:04:27.5667356Z ] 2024-04-03T16:04:27.5667627Z } 2024-04-03T16:04:27.5778863Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*/} 2024-04-03T16:04:27.5779382Z tag=${ECR_DOCKER_IMAGE##*/} 2024-04-03T16:04:27.5779986Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2024-04-03T16:04:27.5788117Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:04:27.5788643Z env: 2024-04-03T16:04:27.5788950Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:27.5789959Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:27.5790997Z ##[endgroup] 2024-04-03T16:04:27.5815991Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-focal-py3.12-clang10-16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:27.5872906Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2024-04-03T16:04:27.5873541Z with: 2024-04-03T16:04:27.5874467Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:27.5875661Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-04-03T16:04:27.5876382Z env: 2024-04-03T16:04:27.5876690Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:27.5877066Z ##[endgroup] 2024-04-03T16:04:27.5896663Z ##[group]Run set -x 2024-04-03T16:04:27.5897043Z set -x 2024-04-03T16:04:27.5897379Z set +e 2024-04-03T16:04:27.5897698Z  2024-04-03T16:04:27.5897990Z login() { 2024-04-03T16:04:27.5898691Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2024-04-03T16:04:27.5899459Z } 2024-04-03T16:04:27.5899751Z  2024-04-03T16:04:27.5900110Z retry () { 2024-04-03T16:04:27.5900517Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2024-04-03T16:04:27.5901005Z } 2024-04-03T16:04:27.5901304Z  2024-04-03T16:04:27.5901634Z retry login "${DOCKER_REGISTRY}" 2024-04-03T16:04:27.5902274Z  2024-04-03T16:04:27.5902603Z set -e 2024-04-03T16:04:27.5903098Z # ignore output since only exit code is used for conditional 2024-04-03T16:04:27.5903862Z # only pull docker image if it's not available locally 2024-04-03T16:04:27.5904679Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2024-04-03T16:04:27.5905417Z  retry docker pull "${DOCKER_IMAGE}" 2024-04-03T16:04:27.5905873Z fi 2024-04-03T16:04:27.5913665Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:04:27.5914205Z env: 2024-04-03T16:04:27.5914512Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:04:27.5915503Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:27.5916676Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-04-03T16:04:27.5917230Z ##[endgroup] 2024-04-03T16:04:27.5939242Z + set +e 2024-04-03T16:04:27.5940281Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-04-03T16:04:27.5940974Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-04-03T16:04:27.5942603Z + aws ecr get-login-password --region us-east-1 2024-04-03T16:04:27.5944544Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-04-03T16:04:28.0123833Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-04-03T16:04:28.0125170Z Configure a credential helper to remove this warning. See 2024-04-03T16:04:28.0126594Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-04-03T16:04:28.0127447Z 2024-04-03T16:04:28.0127555Z Login Succeeded 2024-04-03T16:04:28.0137244Z + set -e 2024-04-03T16:04:28.0139146Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:28.0296241Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:28.0299850Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:04:28.3813370Z 16884143090f148aa56809ceba26eeb699b5dc49: Pulling from pytorch/pytorch-linux-focal-py3.12-clang10 2024-04-03T16:04:28.3828205Z 63e9bbe32327: Pulling fs layer 2024-04-03T16:04:28.3829172Z 7df4496279bd: Pulling fs layer 2024-04-03T16:04:28.3829904Z ee37242bda57: Pulling fs layer 2024-04-03T16:04:28.3830720Z 54d5589ae7eb: Pulling fs layer 2024-04-03T16:04:28.3831465Z b8f4387debef: Pulling fs layer 2024-04-03T16:04:28.3833994Z ff40b94cdf4a: Pulling fs layer 2024-04-03T16:04:28.3834850Z aa3c9e42cfab: Pulling fs layer 2024-04-03T16:04:28.3835642Z 6890265f6cba: Pulling fs layer 2024-04-03T16:04:28.3836411Z f8bf6b4c3502: Pulling fs layer 2024-04-03T16:04:28.3837166Z 6c06cc6d0288: Pulling fs layer 2024-04-03T16:04:28.3837840Z e246989f11b0: Pulling fs layer 2024-04-03T16:04:28.3838513Z a50885fa3b34: Pulling fs layer 2024-04-03T16:04:28.3839415Z 6ada846a2ce7: Pulling fs layer 2024-04-03T16:04:28.3840107Z b8f4387debef: Waiting 2024-04-03T16:04:28.3840798Z 4f4fb700ef54: Pulling fs layer 2024-04-03T16:04:28.3841540Z ff40b94cdf4a: Waiting 2024-04-03T16:04:28.3842202Z 6890265f6cba: Waiting 2024-04-03T16:04:28.3842901Z 6516a70ffc1c: Pulling fs layer 2024-04-03T16:04:28.3843601Z aa3c9e42cfab: Waiting 2024-04-03T16:04:28.3844412Z f8bf6b4c3502: Waiting 2024-04-03T16:04:28.3845101Z 6285fb360e01: Pulling fs layer 2024-04-03T16:04:28.3846382Z a7392601a97a: Pulling fs layer 2024-04-03T16:04:28.3846779Z 6c06cc6d0288: Waiting 2024-04-03T16:04:28.3847161Z fca1af13646e: Pulling fs layer 2024-04-03T16:04:28.3847576Z e246989f11b0: Waiting 2024-04-03T16:04:28.3847933Z 1ed47c818483: Pulling fs layer 2024-04-03T16:04:28.3848343Z 3ed68dbddcbd: Pulling fs layer 2024-04-03T16:04:28.3848739Z 884cf53c56c5: Pulling fs layer 2024-04-03T16:04:28.3849142Z 6285fb360e01: Waiting 2024-04-03T16:04:28.3849732Z 6516a70ffc1c: Waiting 2024-04-03T16:04:28.3850370Z 6ada846a2ce7: Waiting 2024-04-03T16:04:28.3851130Z 05904874d9fe: Pulling fs layer 2024-04-03T16:04:28.3851983Z a7392601a97a: Waiting 2024-04-03T16:04:28.3852345Z 1ed47c818483: Waiting 2024-04-03T16:04:28.3852712Z c1c01d72f9b8: Pulling fs layer 2024-04-03T16:04:28.3853138Z a50885fa3b34: Waiting 2024-04-03T16:04:28.3853473Z fca1af13646e: Waiting 2024-04-03T16:04:28.3853904Z e8f7a22e2e12: Pulling fs layer 2024-04-03T16:04:28.3854531Z 3ed68dbddcbd: Waiting 2024-04-03T16:04:28.3854873Z 884cf53c56c5: Waiting 2024-04-03T16:04:28.3855358Z 628d9e0f8092: Pulling fs layer 2024-04-03T16:04:28.3855825Z 54d5589ae7eb: Waiting 2024-04-03T16:04:28.3856163Z 05904874d9fe: Waiting 2024-04-03T16:04:28.3856532Z 7d278a3d8f13: Pulling fs layer 2024-04-03T16:04:28.3857053Z c1c01d72f9b8: Waiting 2024-04-03T16:04:28.3857484Z e8f7a22e2e12: Waiting 2024-04-03T16:04:28.3857855Z 623d6dc4b6d6: Pulling fs layer 2024-04-03T16:04:28.3858271Z faa2449d8ec7: Pulling fs layer 2024-04-03T16:04:28.3858655Z 7d278a3d8f13: Waiting 2024-04-03T16:04:28.3859029Z 71f5cdbc07e3: Pulling fs layer 2024-04-03T16:04:28.3859537Z 628d9e0f8092: Waiting 2024-04-03T16:04:28.3860128Z 0e1a3e9d008d: Pulling fs layer 2024-04-03T16:04:28.3860544Z 4f4fb700ef54: Waiting 2024-04-03T16:04:28.3860895Z faa2449d8ec7: Waiting 2024-04-03T16:04:28.3861300Z 71f5cdbc07e3: Waiting 2024-04-03T16:04:28.3861644Z 0e1a3e9d008d: Waiting 2024-04-03T16:04:28.3861993Z 54e0e2c40a09: Pulling fs layer 2024-04-03T16:04:28.3862814Z a8b2668229e0: Pulling fs layer 2024-04-03T16:04:28.3863222Z 623d6dc4b6d6: Waiting 2024-04-03T16:04:28.3863572Z 3e004b0d5b95: Pulling fs layer 2024-04-03T16:04:28.3864039Z 54e0e2c40a09: Waiting 2024-04-03T16:04:28.3864569Z 8b95c36d5927: Pulling fs layer 2024-04-03T16:04:28.3864952Z a8b2668229e0: Waiting 2024-04-03T16:04:28.3865315Z e2fa829ea9cd: Pulling fs layer 2024-04-03T16:04:28.3865731Z c8a8c2aafa06: Pulling fs layer 2024-04-03T16:04:28.3866134Z 53f6cf10ecda: Pulling fs layer 2024-04-03T16:04:28.3866545Z 3231808a91b8: Pulling fs layer 2024-04-03T16:04:28.3866941Z e2fa829ea9cd: Waiting 2024-04-03T16:04:28.3867288Z 3e004b0d5b95: Waiting 2024-04-03T16:04:28.3867654Z 966ea249cc7d: Pulling fs layer 2024-04-03T16:04:28.3868189Z 6ad71370dc3f: Pulling fs layer 2024-04-03T16:04:28.3868687Z 3231808a91b8: Waiting 2024-04-03T16:04:28.3869052Z dc50a042239f: Pulling fs layer 2024-04-03T16:04:28.3869448Z 53f6cf10ecda: Waiting 2024-04-03T16:04:28.3869787Z 966ea249cc7d: Waiting 2024-04-03T16:04:28.3870136Z 8b95c36d5927: Waiting 2024-04-03T16:04:28.3870506Z 4ad8201e0eae: Pulling fs layer 2024-04-03T16:04:28.3870881Z 6ad71370dc3f: Waiting 2024-04-03T16:04:28.3871365Z c6c505f14124: Pulling fs layer 2024-04-03T16:04:28.3871929Z dc50a042239f: Waiting 2024-04-03T16:04:28.3872267Z 4ad8201e0eae: Waiting 2024-04-03T16:04:28.3872640Z cd7aecfa6354: Pulling fs layer 2024-04-03T16:04:28.3873062Z e08c13c050a1: Pulling fs layer 2024-04-03T16:04:28.3873520Z c8a8c2aafa06: Waiting 2024-04-03T16:04:28.3873881Z 24e4469985d3: Pulling fs layer 2024-04-03T16:04:28.3874272Z cd7aecfa6354: Waiting 2024-04-03T16:04:28.3874725Z 003cda5bdc8f: Pulling fs layer 2024-04-03T16:04:28.3875138Z 8ca4bdb470ca: Pulling fs layer 2024-04-03T16:04:28.3875530Z e08c13c050a1: Waiting 2024-04-03T16:04:28.3875864Z 24e4469985d3: Waiting 2024-04-03T16:04:28.3876252Z 7724b7fc3f5e: Pulling fs layer 2024-04-03T16:04:28.3876661Z de2b35ff9d5d: Pulling fs layer 2024-04-03T16:04:28.3877046Z 003cda5bdc8f: Waiting 2024-04-03T16:04:28.3877394Z 7724b7fc3f5e: Waiting 2024-04-03T16:04:28.3877742Z 8ca4bdb470ca: Waiting 2024-04-03T16:04:28.3878091Z f713d0b7e925: Pulling fs layer 2024-04-03T16:04:28.3878484Z de2b35ff9d5d: Waiting 2024-04-03T16:04:28.3878884Z d72d9ae72ea3: Pulling fs layer 2024-04-03T16:04:28.3879346Z e1ba79da3742: Pulling fs layer 2024-04-03T16:04:28.3879808Z d72d9ae72ea3: Waiting 2024-04-03T16:04:28.3880211Z 9fa3db94d769: Pulling fs layer 2024-04-03T16:04:28.3880682Z faa883875759: Pulling fs layer 2024-04-03T16:04:28.3881179Z c2b6dbd811b4: Pulling fs layer 2024-04-03T16:04:28.3881575Z 9fa3db94d769: Waiting 2024-04-03T16:04:28.3881966Z faa883875759: Waiting 2024-04-03T16:04:28.3882441Z 40194b6ef1d7: Pulling fs layer 2024-04-03T16:04:28.3882964Z c2b6dbd811b4: Waiting 2024-04-03T16:04:28.3883305Z 40194b6ef1d7: Waiting 2024-04-03T16:04:28.3883789Z 37b58ceedd03: Pulling fs layer 2024-04-03T16:04:28.3884301Z c6c505f14124: Waiting 2024-04-03T16:04:28.3884659Z 55d0a73ff401: Pulling fs layer 2024-04-03T16:04:28.3885129Z 7cc98d435475: Pulling fs layer 2024-04-03T16:04:28.3885539Z 0d34af2b30dc: Pulling fs layer 2024-04-03T16:04:28.3886000Z e204b594143e: Pulling fs layer 2024-04-03T16:04:28.3886393Z 55d0a73ff401: Waiting 2024-04-03T16:04:28.3886800Z 0d34af2b30dc: Waiting 2024-04-03T16:04:28.3887174Z 10867f8dfc94: Pulling fs layer 2024-04-03T16:04:28.3887606Z 7cc98d435475: Waiting 2024-04-03T16:04:28.3888018Z 7a9beb4b8b29: Pulling fs layer 2024-04-03T16:04:28.3888429Z bab89d6c5302: Pulling fs layer 2024-04-03T16:04:28.3888894Z 1655402e3bae: Pulling fs layer 2024-04-03T16:04:28.3889301Z 318c03a399d2: Pulling fs layer 2024-04-03T16:04:28.3889760Z 6f56fff1f241: Pulling fs layer 2024-04-03T16:04:28.3890153Z e204b594143e: Waiting 2024-04-03T16:04:28.3890575Z a3b37e24d9d1: Pulling fs layer 2024-04-03T16:04:28.3890985Z 3f024dbec984: Pulling fs layer 2024-04-03T16:04:28.3891426Z 7a9beb4b8b29: Waiting 2024-04-03T16:04:28.3891823Z 26a271d5636e: Pulling fs layer 2024-04-03T16:04:28.3892225Z 6f56fff1f241: Waiting 2024-04-03T16:04:28.3892628Z bab89d6c5302: Waiting 2024-04-03T16:04:28.3892963Z 318c03a399d2: Waiting 2024-04-03T16:04:28.3893346Z 1655402e3bae: Waiting 2024-04-03T16:04:28.3893701Z 3f024dbec984: Waiting 2024-04-03T16:04:28.3894107Z a3b37e24d9d1: Waiting 2024-04-03T16:04:28.3894499Z 26a271d5636e: Waiting 2024-04-03T16:04:28.3894854Z 10867f8dfc94: Waiting 2024-04-03T16:04:28.4778851Z 7df4496279bd: Download complete 2024-04-03T16:04:28.5642018Z 54d5589ae7eb: Verifying Checksum 2024-04-03T16:04:28.5642537Z 54d5589ae7eb: Download complete 2024-04-03T16:04:28.8863652Z 63e9bbe32327: Download complete 2024-04-03T16:04:28.9797938Z ff40b94cdf4a: Download complete 2024-04-03T16:04:29.0764952Z aa3c9e42cfab: Verifying Checksum 2024-04-03T16:04:29.0765589Z aa3c9e42cfab: Download complete 2024-04-03T16:04:29.1743461Z 6890265f6cba: Verifying Checksum 2024-04-03T16:04:29.1744287Z 6890265f6cba: Download complete 2024-04-03T16:04:29.2710556Z f8bf6b4c3502: Verifying Checksum 2024-04-03T16:04:29.2711348Z f8bf6b4c3502: Download complete 2024-04-03T16:04:29.3508068Z 6c06cc6d0288: Verifying Checksum 2024-04-03T16:04:29.3508611Z 6c06cc6d0288: Download complete 2024-04-03T16:04:29.4476037Z e246989f11b0: Verifying Checksum 2024-04-03T16:04:29.4476934Z e246989f11b0: Download complete 2024-04-03T16:04:29.5314682Z a50885fa3b34: Verifying Checksum 2024-04-03T16:04:29.5315216Z a50885fa3b34: Download complete 2024-04-03T16:04:29.5476742Z 63e9bbe32327: Pull complete 2024-04-03T16:04:29.6607664Z 7df4496279bd: Pull complete 2024-04-03T16:04:30.5754331Z b8f4387debef: Verifying Checksum 2024-04-03T16:04:30.5755009Z b8f4387debef: Download complete 2024-04-03T16:04:30.5871176Z 4f4fb700ef54: Verifying Checksum 2024-04-03T16:04:30.5872104Z 4f4fb700ef54: Download complete 2024-04-03T16:04:30.6750366Z 6516a70ffc1c: Verifying Checksum 2024-04-03T16:04:30.6751142Z 6516a70ffc1c: Download complete 2024-04-03T16:04:30.7720160Z 6285fb360e01: Verifying Checksum 2024-04-03T16:04:30.7720773Z 6285fb360e01: Download complete 2024-04-03T16:04:30.8617263Z a7392601a97a: Download complete 2024-04-03T16:04:31.1220487Z fca1af13646e: Verifying Checksum 2024-04-03T16:04:31.1221362Z fca1af13646e: Download complete 2024-04-03T16:04:31.2270741Z 1ed47c818483: Verifying Checksum 2024-04-03T16:04:31.2271363Z 1ed47c818483: Download complete 2024-04-03T16:04:31.3172687Z 3ed68dbddcbd: Verifying Checksum 2024-04-03T16:04:31.3173319Z 3ed68dbddcbd: Download complete 2024-04-03T16:04:31.4283696Z 884cf53c56c5: Verifying Checksum 2024-04-03T16:04:31.4284371Z 884cf53c56c5: Download complete 2024-04-03T16:04:31.4962233Z 05904874d9fe: Verifying Checksum 2024-04-03T16:04:31.5850768Z 05904874d9fe: Download complete 2024-04-03T16:04:31.5851355Z c1c01d72f9b8: Verifying Checksum 2024-04-03T16:04:31.5851887Z c1c01d72f9b8: Download complete 2024-04-03T16:04:33.5741570Z e8f7a22e2e12: Verifying Checksum 2024-04-03T16:04:33.5742512Z e8f7a22e2e12: Download complete 2024-04-03T16:04:33.6593965Z 628d9e0f8092: Verifying Checksum 2024-04-03T16:04:33.6594658Z 628d9e0f8092: Download complete 2024-04-03T16:04:33.7627620Z 7d278a3d8f13: Download complete 2024-04-03T16:04:33.9268693Z 623d6dc4b6d6: Verifying Checksum 2024-04-03T16:04:33.9269441Z 623d6dc4b6d6: Download complete 2024-04-03T16:04:34.0229335Z faa2449d8ec7: Download complete 2024-04-03T16:04:34.1264688Z 71f5cdbc07e3: Verifying Checksum 2024-04-03T16:04:34.1265344Z 71f5cdbc07e3: Download complete 2024-04-03T16:04:34.6782364Z ee37242bda57: Verifying Checksum 2024-04-03T16:04:34.6782889Z ee37242bda57: Download complete 2024-04-03T16:04:34.7763005Z 54e0e2c40a09: Verifying Checksum 2024-04-03T16:04:34.7763848Z 54e0e2c40a09: Download complete 2024-04-03T16:04:34.8967281Z a8b2668229e0: Verifying Checksum 2024-04-03T16:04:35.0183961Z a8b2668229e0: Download complete 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6f56fff1f241: Pull complete 2024-04-03T16:06:16.5492239Z a3b37e24d9d1: Pull complete 2024-04-03T16:06:16.9974390Z 3f024dbec984: Pull complete 2024-04-03T16:06:18.6420332Z 26a271d5636e: Pull complete 2024-04-03T16:06:18.7657790Z Digest: sha256:104f50f7e9747ea8c7bb829e22bdc3ebf1705799fea0df1343205ffcd0aed8b1 2024-04-03T16:06:18.7847259Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:06:18.7889648Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:06:18.7968474Z ##[group]Run python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 2024-04-03T16:06:18.7969259Z python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 2024-04-03T16:06:18.7970109Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 & 2024-04-03T16:06:18.7970811Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2024-04-03T16:06:18.8124631Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:06:18.8125118Z env: 2024-04-03T16:06:18.8125388Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:06:18.8125726Z ##[endgroup] 2024-04-03T16:06:22.4971173Z Defaulting to user installation because normal site-packages is not writeable 2024-04-03T16:06:22.5269265Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.7/site-packages (5.9.1) 2024-04-03T16:06:22.5383471Z Requirement already satisfied: nvidia-ml-py==11.525.84 in /home/ec2-user/.local/lib/python3.7/site-packages (11.525.84) 2024-04-03T16:06:22.7102898Z Prepare all required actions 2024-04-03T16:06:22.7103413Z Getting action download info 2024-04-03T16:06:22.8302492Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2024-04-03T16:06:23.1913712Z Download action repository 'actions/download-artifact@v3' (SHA:9bc31d5ccc31df68ecc42ccf4149144866c47d8a) 2024-04-03T16:06:23.4344584Z ##[group]Run ./.github/actions/download-build-artifacts 2024-04-03T16:06:23.4345060Z with: 2024-04-03T16:06:23.4345338Z name: linux-focal-py3.12-clang10 2024-04-03T16:06:23.4345715Z s3-bucket: gha-artifacts 2024-04-03T16:06:23.4346160Z env: 2024-04-03T16:06:23.4346406Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:06:23.4346731Z ##[endgroup] 2024-04-03T16:06:23.4478848Z ##[group]Run seemethere/download-artifact-s3@v4 2024-04-03T16:06:23.4479276Z with: 2024-04-03T16:06:23.4479562Z name: linux-focal-py3.12-clang10 2024-04-03T16:06:23.4479946Z s3-bucket: gha-artifacts 2024-04-03T16:06:23.4480326Z region: us-east-1 2024-04-03T16:06:23.4480596Z env: 2024-04-03T16:06:23.4480860Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:06:23.4481179Z ##[endgroup] 2024-04-03T16:06:23.9215554Z (node:23865) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2024-04-03T16:06:23.9216286Z 2024-04-03T16:06:23.9216539Z Please migrate your code to use AWS SDK for JavaScript (v3). 2024-04-03T16:06:23.9217332Z For more information, check the migration guide at https://a.co/7PzMCcy 2024-04-03T16:06:23.9218437Z (Use `node --trace-warnings ...` to show where the warning was created) 2024-04-03T16:06:24.0058341Z Found 1 objects with prefix pytorch/pytorch/8536950919/linux-focal-py3.12-clang10/ 2024-04-03T16:06:24.0059379Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2024-04-03T16:06:34.1845716Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2024-04-03T16:06:34.1852180Z Artifact download has finished successfully 2024-04-03T16:06:34.2015763Z ##[group]Run unzip -o artifacts.zip 2024-04-03T16:06:34.2016172Z unzip -o artifacts.zip 2024-04-03T16:06:34.2023831Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:06:34.2024318Z env: 2024-04-03T16:06:34.2024569Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:06:34.2024882Z ##[endgroup] 2024-04-03T16:06:34.2091792Z Archive: artifacts.zip 2024-04-03T16:06:34.2092840Z creating: dist/ 2024-04-03T16:06:35.1033830Z inflating: dist/torch-2.4.0a0+gitd253bd7-cp312-cp312-linux_x86_64.whl 2024-04-03T16:06:35.1034526Z creating: build/custom_test_artifacts/ 2024-04-03T16:06:35.1035429Z creating: build/custom_test_artifacts/custom-op-build/ 2024-04-03T16:06:35.1036759Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2024-04-03T16:06:35.1037869Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeOutput.log 2024-04-03T16:06:35.1039226Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/ 2024-04-03T16:06:35.1040807Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CMakeSystem.cmake 2024-04-03T16:06:35.1042158Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CompilerIdC/ 2024-04-03T16:06:35.1043719Z creating: 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2024-04-03T16:06:39.8027642Z inflating: build/bin/kernel_lambda_test 2024-04-03T16:06:39.8088006Z inflating: build/bin/MaybeOwned_test 2024-04-03T16:06:39.8136677Z inflating: build/bin/half_test 2024-04-03T16:06:39.8183478Z inflating: build/bin/cpu_allocator_test 2024-04-03T16:06:39.8234796Z inflating: build/bin/static_runtime_bench 2024-04-03T16:06:39.8281797Z inflating: build/bin/Dimname_test 2024-04-03T16:06:39.8283077Z inflating: build/bin/verify_api_visibility 2024-04-03T16:06:39.8329560Z inflating: build/bin/reportMemoryUsage_test 2024-04-03T16:06:39.8378223Z inflating: build/bin/cpu_profiling_allocator_test 2024-04-03T16:06:39.8425219Z inflating: build/bin/weakref_test 2024-04-03T16:06:39.8549988Z inflating: build/bin/kernel_lambda_legacy_test 2024-04-03T16:06:39.8601105Z inflating: build/bin/NamedTensor_test 2024-04-03T16:06:39.8687935Z inflating: build/bin/cpu_rng_test 2024-04-03T16:06:39.8740937Z inflating: build/bin/apply_utils_test 2024-04-03T16:06:39.8789128Z inflating: build/bin/memory_overlapping_test 2024-04-03T16:06:39.8843553Z inflating: build/bin/atest 2024-04-03T16:06:39.9133000Z inflating: build/bin/static_runtime_test 2024-04-03T16:06:39.9183036Z inflating: build/bin/broadcast_test 2024-04-03T16:06:39.9241757Z inflating: build/bin/basic 2024-04-03T16:06:39.9287749Z inflating: build/bin/operator_name_test 2024-04-03T16:06:39.9342407Z inflating: build/bin/extension_backend_test 2024-04-03T16:06:39.9388193Z inflating: build/bin/dispatch_key_set_test 2024-04-03T16:06:39.9390448Z inflating: build/bin/thread_init_test 2024-04-03T16:06:39.9447470Z inflating: build/bin/inline_container_test 2024-04-03T16:06:39.9493846Z inflating: build/bin/operators_test 2024-04-03T16:06:39.9588858Z inflating: build/bin/List_test 2024-04-03T16:06:39.9635768Z inflating: build/bin/wrapdim_test 2024-04-03T16:06:39.9681932Z inflating: build/bin/dlconvertor_test 2024-04-03T16:06:39.9729663Z inflating: build/bin/undefined_tensor_test 2024-04-03T16:06:39.9775211Z inflating: build/bin/lazy_tensor_test 2024-04-03T16:06:39.9866281Z inflating: build/bin/ivalue_test 2024-04-03T16:06:39.9912382Z inflating: build/bin/CppSignature_test 2024-04-03T16:06:39.9960985Z inflating: build/bin/mobile_memory_cleanup 2024-04-03T16:06:40.0274408Z inflating: build/bin/op_registration_test 2024-04-03T16:06:40.0322563Z inflating: build/bin/memory_format_test 2024-04-03T16:06:40.0369954Z inflating: build/bin/packedtensoraccessor_test 2024-04-03T16:06:40.0418762Z inflating: build/bin/test_edge_op_registration 2024-04-03T16:06:40.0484937Z inflating: build/bin/pow_test 2024-04-03T16:06:40.0488915Z inflating: build/bin/torch_shm_manager 2024-04-03T16:06:40.0506025Z inflating: build/bin/tutorial_tensorexpr 2024-04-03T16:06:40.1539434Z inflating: build/bin/test_tensorexpr 2024-04-03T16:06:40.2817625Z inflating: build/bin/test_api 2024-04-03T16:06:40.3375951Z inflating: build/bin/test_jit 2024-04-03T16:06:40.3376393Z creating: .additional_ci_files/ 2024-04-03T16:06:40.3411162Z inflating: .additional_ci_files/test-times.json 2024-04-03T16:06:40.3553942Z inflating: .additional_ci_files/test-class-times.json 2024-04-03T16:06:40.3583142Z ##[group]Run rm artifacts.zip 2024-04-03T16:06:40.3583522Z rm artifacts.zip 2024-04-03T16:06:40.3591223Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:06:40.3591837Z env: 2024-04-03T16:06:40.3592078Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:06:40.3592404Z ##[endgroup] 2024-04-03T16:06:40.3994634Z ##[group]Run df -H 2024-04-03T16:06:40.3994937Z df -H 2024-04-03T16:06:40.4002083Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:06:40.4002564Z env: 2024-04-03T16:06:40.4002824Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:06:40.4003148Z ##[endgroup] 2024-04-03T16:06:40.4063169Z Filesystem Size Used Avail Use% Mounted on 2024-04-03T16:06:40.4064126Z devtmpfs 8.2G 0 8.2G 0% /dev 2024-04-03T16:06:40.4064643Z tmpfs 8.2G 25k 8.2G 1% /dev/shm 2024-04-03T16:06:40.4065099Z tmpfs 8.2G 467k 8.2G 1% /run 2024-04-03T16:06:40.4065563Z tmpfs 8.2G 0 8.2G 0% /sys/fs/cgroup 2024-04-03T16:06:40.4066012Z /dev/nvme0n1p1 162G 19G 143G 12% / 2024-04-03T16:06:40.4066461Z tmpfs 1.7G 0 1.7G 0% /run/user/0 2024-04-03T16:06:40.4110979Z Prepare all required actions 2024-04-03T16:06:40.4111414Z Getting action download info 2024-04-03T16:06:40.5228869Z ##[group]Run ./.github/actions/download-td-artifacts 2024-04-03T16:06:40.5229322Z with: 2024-04-03T16:06:40.5229553Z env: 2024-04-03T16:06:40.5229808Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:06:40.5230120Z ##[endgroup] 2024-04-03T16:06:40.5263946Z ##[group]Run seemethere/download-artifact-s3@v4 2024-04-03T16:06:40.5264389Z with: 2024-04-03T16:06:40.5264628Z name: td_results 2024-04-03T16:06:40.5264929Z s3-bucket: gha-artifacts 2024-04-03T16:06:40.5265266Z region: us-east-1 2024-04-03T16:06:40.5265528Z env: 2024-04-03T16:06:40.5265775Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:06:40.5266096Z ##[endgroup] 2024-04-03T16:06:41.0019245Z (node:23884) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2024-04-03T16:06:41.0020522Z 2024-04-03T16:06:41.0021033Z Please migrate your code to use AWS SDK for JavaScript (v3). 2024-04-03T16:06:41.0022651Z For more information, check the migration guide at https://a.co/7PzMCcy 2024-04-03T16:06:41.0024143Z (Use `node --trace-warnings ...` to show where the warning was created) 2024-04-03T16:06:41.1078104Z Found 1 objects with prefix pytorch/pytorch/8536950919/td_results/ 2024-04-03T16:06:41.1079163Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2024-04-03T16:06:41.1980797Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2024-04-03T16:06:41.1987662Z Artifact download has finished successfully 2024-04-03T16:06:41.2171886Z ##[group]Run mkdir -p .additional_ci_files 2024-04-03T16:06:41.2172358Z mkdir -p .additional_ci_files 2024-04-03T16:06:41.2172894Z mv td_results.json .additional_ci_files/td_results.json 2024-04-03T16:06:41.2180977Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:06:41.2181473Z env: 2024-04-03T16:06:41.2181750Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:06:41.2182328Z ##[endgroup] 2024-04-03T16:06:41.2252713Z ##[group]Run .github/scripts/parse_ref.py 2024-04-03T16:06:41.2253173Z .github/scripts/parse_ref.py 2024-04-03T16:06:41.2260391Z shell: /usr/bin/bash -e {0} 2024-04-03T16:06:41.2260712Z env: 2024-04-03T16:06:41.2260967Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:06:41.2261292Z ##[endgroup] 2024-04-03T16:06:41.2513284Z Prepare all required actions 2024-04-03T16:06:41.2554327Z ##[group]Run ./.github/actions/get-workflow-job-id 2024-04-03T16:06:41.2555029Z with: 2024-04-03T16:06:41.2555592Z github-token: *** 2024-04-03T16:06:41.2555878Z env: 2024-04-03T16:06:41.2556113Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:06:41.2556440Z ##[endgroup] 2024-04-03T16:06:41.2573639Z ##[group]Run set -eux 2024-04-03T16:06:41.2574260Z set -eux 2024-04-03T16:06:41.2574876Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2024-04-03T16:06:41.2583122Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:06:41.2583724Z env: 2024-04-03T16:06:41.2583982Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:06:41.2584510Z GITHUB_TOKEN: *** 2024-04-03T16:06:41.2584799Z ##[endgroup] 2024-04-03T16:06:41.2606306Z + python3 .github/scripts/get_workflow_job_id.py 8536950919 i-06869fb5dcd507b40 2024-04-03T16:07:10.2669409Z setting job-id=23402111135 2024-04-03T16:07:10.2670233Z setting job-name=linux-focal-py3.12-clang10 / test (default, 1, 3, linux.2xlarge) 2024-04-03T16:07:10.2889248Z Prepare all required actions 2024-04-03T16:07:10.2889688Z Getting action download info 2024-04-03T16:07:10.4066788Z ##[group]Run ./.github/actions/filter-test-configs 2024-04-03T16:07:10.4067228Z with: 2024-04-03T16:07:10.4067698Z github-token: *** 2024-04-03T16:07:10.4068922Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}]} 2024-04-03T16:07:10.4070466Z job-name: linux-focal-py3.12-clang10 / test (default, 1, 3, linux.2xlarge) 2024-04-03T16:07:10.4071038Z env: 2024-04-03T16:07:10.4071296Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:07:10.4071620Z ##[endgroup] 2024-04-03T16:07:10.4114160Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2024-04-03T16:07:10.4114714Z with: 2024-04-03T16:07:10.4114956Z shell: bash 2024-04-03T16:07:10.4115276Z timeout_minutes: 10 2024-04-03T16:07:10.4115568Z max_attempts: 5 2024-04-03T16:07:10.4115860Z retry_wait_seconds: 30 2024-04-03T16:07:10.4116635Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore python3 -m pip install requests==2.26.0 pyyaml==6.0.1 2024-04-03T16:07:10.4117477Z polling_interval_seconds: 1 2024-04-03T16:07:10.4117820Z warning_on_retry: true 2024-04-03T16:07:10.4118150Z continue_on_error: false 2024-04-03T16:07:10.4118468Z env: 2024-04-03T16:07:10.4118709Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:07:10.4119225Z GITHUB_TOKEN: *** 2024-04-03T16:07:10.4119525Z ##[endgroup] 2024-04-03T16:07:10.4639326Z + python3 -m pip install requests==2.26.0 pyyaml==6.0.1 2024-04-03T16:07:10.6677201Z Defaulting to user installation because normal site-packages is not writeable 2024-04-03T16:07:10.6838688Z Requirement already satisfied: requests==2.26.0 in /home/ec2-user/.local/lib/python3.7/site-packages (2.26.0) 2024-04-03T16:07:10.6966144Z Requirement already satisfied: pyyaml==6.0.1 in /home/ec2-user/.local/lib/python3.7/site-packages (6.0.1) 2024-04-03T16:07:10.6975282Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (3.6) 2024-04-03T16:07:10.6987875Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2024.2.2) 2024-04-03T16:07:10.6996244Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2.0.12) 2024-04-03T16:07:10.7015038Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (1.26.18) 2024-04-03T16:07:11.4643614Z Command completed after 1 attempt(s). 2024-04-03T16:07:11.4684993Z ##[group]Run set -x 2024-04-03T16:07:11.4685307Z set -x 2024-04-03T16:07:11.4685581Z  2024-04-03T16:07:11.4686126Z # Use relative path here as this could be checked out anywhere, not necessarily 2024-04-03T16:07:11.4686791Z # in runner workspace 2024-04-03T16:07:11.4687302Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2024-04-03T16:07:11.4695085Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:07:11.4695570Z env: 2024-04-03T16:07:11.4695817Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:07:11.4696138Z ##[endgroup] 2024-04-03T16:07:11.4718330Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2024-04-03T16:07:11.4922664Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2024-04-03T16:07:11.4923195Z echo "Workflow: ${GITHUB_WORKFLOW}" 2024-04-03T16:07:11.4923651Z echo "Job name: ${JOB_NAME}" 2024-04-03T16:07:11.4924018Z  2024-04-03T16:07:11.4924551Z # Use relative path here as this could be checked out anywhere, not necessarily 2024-04-03T16:07:11.4925360Z # in runner workspace 2024-04-03T16:07:11.4925919Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2024-04-03T16:07:11.4926557Z  --workflow "${GITHUB_WORKFLOW}" \ 2024-04-03T16:07:11.4926997Z  --job-name "${JOB_NAME}" \ 2024-04-03T16:07:11.4928372Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}]}" \ 2024-04-03T16:07:11.4929753Z  --pr-number "${PR_NUMBER}" \ 2024-04-03T16:07:11.4930158Z  --tag "${TAG}" \ 2024-04-03T16:07:11.4930530Z  --event-name "${EVENT_NAME}" \ 2024-04-03T16:07:11.4930945Z  --schedule "${SCHEDULE}" \ 2024-04-03T16:07:11.4931353Z  --branch "${HEAD_BRANCH}" 2024-04-03T16:07:11.4939271Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:07:11.4939758Z env: 2024-04-03T16:07:11.4940003Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:07:11.4940539Z GITHUB_TOKEN: *** 2024-04-03T16:07:11.4941052Z JOB_NAME: linux-focal-py3.12-clang10 / test (default, 1, 3, linux.2xlarge) 2024-04-03T16:07:11.4941645Z PR_NUMBER: 123154 2024-04-03T16:07:11.4941927Z TAG: 2024-04-03T16:07:11.4960374Z EVENT_NAME: pull_request 2024-04-03T16:07:11.4960744Z SCHEDULE: 2024-04-03T16:07:11.4961004Z HEAD_BRANCH: 2024-04-03T16:07:11.4961277Z ##[endgroup] 2024-04-03T16:07:11.4983056Z Workflow: pull 2024-04-03T16:07:11.4983742Z Job name: linux-focal-py3.12-clang10 / test (default, 1, 3, linux.2xlarge) 2024-04-03T16:07:11.7519047Z INFO:root:Found no test-config label on the PR, so all test configs are included 2024-04-03T16:07:11.8916631Z fatal: unknown commit main 2024-04-03T16:07:11.8938919Z /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/filter_test_configs.py:458: UserWarning: failed to get commit messages: Command '['git', 'cherry', '-v', 'main']' returned non-zero exit status 128. 2024-04-03T16:07:11.8940585Z warnings.warn(f"failed to get commit messages: {e}") 2024-04-03T16:07:11.9082179Z ##[group]Run echo "Filtered matrix:" 2024-04-03T16:07:11.9082616Z echo "Filtered matrix:" 2024-04-03T16:07:11.9083910Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}]}" 2024-04-03T16:07:11.9085197Z  2024-04-03T16:07:11.9085436Z echo 2024-04-03T16:07:11.9085788Z echo "Is the current job unstable? False" 2024-04-03T16:07:11.9086229Z  2024-04-03T16:07:11.9086499Z echo 2024-04-03T16:07:11.9087094Z echo "Is keep-going label set? False" 2024-04-03T16:07:11.9087523Z  2024-04-03T16:07:11.9087754Z echo 2024-04-03T16:07:11.9088060Z echo "Renabled issues? " 2024-04-03T16:07:11.9095658Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:07:11.9096145Z env: 2024-04-03T16:07:11.9096390Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:07:11.9096714Z ##[endgroup] 2024-04-03T16:07:11.9118367Z Filtered matrix: 2024-04-03T16:07:11.9119742Z {include: [{config: default, shard: 1, num_shards: 3, runner: linux.2xlarge}, {config: default, shard: 2, num_shards: 3, runner: linux.2xlarge}, {config: default, shard: 3, num_shards: 3, runner: linux.2xlarge}]} 2024-04-03T16:07:11.9121560Z 2024-04-03T16:07:11.9121725Z Is the current job unstable? False 2024-04-03T16:07:11.9122000Z 2024-04-03T16:07:11.9122804Z Is keep-going label set? False 2024-04-03T16:07:11.9123081Z 2024-04-03T16:07:11.9123187Z Renabled issues? 2024-04-03T16:07:11.9197413Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2024-04-03T16:07:11.9198279Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2024-04-03T16:07:11.9205545Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T16:07:11.9206029Z env: 2024-04-03T16:07:11.9206277Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:07:11.9206607Z JOB_TIMEOUT: 600 2024-04-03T16:07:11.9206887Z ##[endgroup] 2024-04-03T16:07:11.9321465Z ##[group]Run set -x 2024-04-03T16:07:11.9321842Z set -x 2024-04-03T16:07:11.9322114Z  2024-04-03T16:07:11.9322451Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2024-04-03T16:07:11.9322974Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2024-04-03T16:07:11.9323540Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2024-04-03T16:07:11.9324037Z  TEST_COMMAND=.ci/onnx/test.sh 2024-04-03T16:07:11.9324420Z else 2024-04-03T16:07:11.9324735Z  TEST_COMMAND=.ci/pytorch/test.sh 2024-04-03T16:07:11.9325140Z fi 2024-04-03T16:07:11.9325377Z  2024-04-03T16:07:11.9325826Z # detached container should get cleaned up by teardown_ec2_linux 2024-04-03T16:07:11.9326579Z # TODO: Stop building test binaries as part of the build phase 2024-04-03T16:07:11.9327236Z # Used for GPU_FLAG since that doesn't play nice 2024-04-03T16:07:11.9327848Z # shellcheck disable=SC2086,SC2090 2024-04-03T16:07:11.9328283Z container_name=$(docker run \ 2024-04-03T16:07:11.9328683Z  ${GPU_FLAG:-} \ 2024-04-03T16:07:11.9329187Z  -e BUILD_ENVIRONMENT \ 2024-04-03T16:07:11.9329555Z  -e PR_NUMBER \ 2024-04-03T16:07:11.9329901Z  -e GITHUB_ACTIONS \ 2024-04-03T16:07:11.9330287Z  -e GITHUB_REPOSITORY \ 2024-04-03T16:07:11.9330669Z  -e GITHUB_WORKFLOW \ 2024-04-03T16:07:11.9331039Z  -e GITHUB_JOB \ 2024-04-03T16:07:11.9331379Z  -e GITHUB_RUN_ID \ 2024-04-03T16:07:11.9331740Z  -e GITHUB_RUN_NUMBER \ 2024-04-03T16:07:11.9332116Z  -e GITHUB_RUN_ATTEMPT \ 2024-04-03T16:07:11.9332492Z  -e JOB_ID \ 2024-04-03T16:07:11.9332814Z  -e JOB_NAME \ 2024-04-03T16:07:11.9333127Z  -e BASE_SHA \ 2024-04-03T16:07:11.9333447Z  -e BRANCH \ 2024-04-03T16:07:11.9333824Z  -e SHA1 \ 2024-04-03T16:07:11.9334146Z  -e AWS_DEFAULT_REGION \ 2024-04-03T16:07:11.9334530Z  -e IN_WHEEL_TEST \ 2024-04-03T16:07:11.9334890Z  -e SHARD_NUMBER \ 2024-04-03T16:07:11.9335222Z  -e TEST_CONFIG \ 2024-04-03T16:07:11.9335571Z  -e NUM_TEST_SHARDS \ 2024-04-03T16:07:11.9335942Z  -e REENABLED_ISSUES \ 2024-04-03T16:07:11.9336327Z  -e CONTINUE_THROUGH_ERROR \ 2024-04-03T16:07:11.9336733Z  -e VERBOSE_TEST_LOGS \ 2024-04-03T16:07:11.9337113Z  -e NO_TEST_TIMEOUT \ 2024-04-03T16:07:11.9337458Z  -e NO_TD \ 2024-04-03T16:07:11.9337768Z  -e PR_LABELS \ 2024-04-03T16:07:11.9338152Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2024-04-03T16:07:11.9338577Z  -e SCCACHE_BUCKET \ 2024-04-03T16:07:11.9338952Z  -e SCCACHE_S3_KEY_PREFIX \ 2024-04-03T16:07:11.9339337Z  -e XLA_CUDA \ 2024-04-03T16:07:11.9339980Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2024-04-03T16:07:11.9340478Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2024-04-03T16:07:11.9340987Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2024-04-03T16:07:11.9341550Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2024-04-03T16:07:11.9342002Z  -e HUGGING_FACE_HUB_TOKEN \ 2024-04-03T16:07:11.9342801Z  -e DASHBOARD_TAG \ 2024-04-03T16:07:11.9343461Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2024-04-03T16:07:11.9343983Z  --ulimit stack=10485760:83886080 \ 2024-04-03T16:07:11.9344450Z  --security-opt seccomp=unconfined \ 2024-04-03T16:07:11.9344897Z  --cap-add=SYS_PTRACE \ 2024-04-03T16:07:11.9345257Z  --ipc=host \ 2024-04-03T16:07:11.9345588Z  --shm-size="${SHM_SIZE}" \ 2024-04-03T16:07:11.9345966Z  --tty \ 2024-04-03T16:07:11.9346244Z  --detach \ 2024-04-03T16:07:11.9346580Z  --name="${container_name}" \ 2024-04-03T16:07:11.9346976Z  --user jenkins \ 2024-04-03T16:07:11.9347530Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2024-04-03T16:07:11.9348079Z  -w /var/lib/jenkins/workspace \ 2024-04-03T16:07:11.9348497Z  "${DOCKER_IMAGE}" 2024-04-03T16:07:11.9348814Z ) 2024-04-03T16:07:11.9349204Z # Propagate download.pytorch.org IP to container 2024-04-03T16:07:11.9350144Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2024-04-03T16:07:11.9351112Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2024-04-03T16:07:11.9352037Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2024-04-03T16:07:11.9360019Z shell: /usr/bin/bash -e {0} 2024-04-03T16:07:11.9360360Z env: 2024-04-03T16:07:11.9360619Z GIT_DEFAULT_BRANCH: main 2024-04-03T16:07:11.9361012Z BUILD_ENVIRONMENT: linux-focal-py3.12-clang10 2024-04-03T16:07:11.9361451Z PR_NUMBER: 123154 2024-04-03T16:07:11.9361777Z GITHUB_REPOSITORY: pytorch/pytorch 2024-04-03T16:07:11.9362193Z GITHUB_WORKFLOW: pull 2024-04-03T16:07:11.9362552Z GITHUB_JOB: test 2024-04-03T16:07:11.9362844Z GITHUB_RUN_ID: 8536950919 2024-04-03T16:07:11.9363190Z GITHUB_RUN_NUMBER: 192590 2024-04-03T16:07:11.9363523Z GITHUB_RUN_ATTEMPT: 2 2024-04-03T16:07:11.9363839Z JOB_ID: 23402111135 2024-04-03T16:07:11.9364375Z JOB_NAME: linux-focal-py3.12-clang10 / test (default, 1, 3, linux.2xlarge) 2024-04-03T16:07:11.9365026Z BRANCH: pull/123154 2024-04-03T16:07:11.9365391Z SHA1: d253bd7befc64137de913dbb8727b511f1052411 2024-04-03T16:07:11.9365896Z BASE_SHA: 1d52c2d98507759a2143d52b922c541dbe36b6bf 2024-04-03T16:07:11.9366328Z TEST_CONFIG: default 2024-04-03T16:07:11.9366632Z SHARD_NUMBER: 1 2024-04-03T16:07:11.9366916Z NUM_TEST_SHARDS: 3 2024-04-03T16:07:11.9367203Z REENABLED_ISSUES: 2024-04-03T16:07:11.9367520Z CONTINUE_THROUGH_ERROR: False 2024-04-03T16:07:11.9367886Z VERBOSE_TEST_LOGS: False 2024-04-03T16:07:11.9368209Z NO_TEST_TIMEOUT: False 2024-04-03T16:07:11.9368521Z NO_TD: False 2024-04-03T16:07:11.9368883Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2024-04-03T16:07:11.9369352Z SCCACHE_S3_KEY_PREFIX: pull 2024-04-03T16:07:11.9369693Z SHM_SIZE: 1g 2024-04-03T16:07:11.9370581Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:07:11.9371548Z XLA_CUDA: 2024-04-03T16:07:11.9372014Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2024-04-03T16:07:11.9372619Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2024-04-03T16:07:11.9373022Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2024-04-03T16:07:11.9373414Z DASHBOARD_TAG: 2024-04-03T16:07:11.9373712Z HUGGING_FACE_HUB_TOKEN: 2024-04-03T16:07:11.9374115Z ##[endgroup] 2024-04-03T16:07:11.9395817Z + [[ default == \m\u\l\t\i\g\p\u ]] 2024-04-03T16:07:11.9396746Z + [[ linux-focal-py3.12-clang10 == *onnx* ]] 2024-04-03T16:07:11.9397216Z + TEST_COMMAND=.ci/pytorch/test.sh 2024-04-03T16:07:11.9404502Z +++ nproc --ignore=2 2024-04-03T16:07:11.9467950Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e NO_TEST_TIMEOUT -e NO_TD -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_S3_KEY_PREFIX -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e DASHBOARD_TAG --env-file=/tmp/github_env_8536950919 --ulimit stack=10485760:83886080 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T16:07:12.8476380Z + container_name=4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T16:07:12.8477755Z + grep download.pytorch.org /etc/hosts 2024-04-03T16:07:12.8479755Z + docker exec -i 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 sudo bash -c '/bin/cat >> /etc/hosts' 2024-04-03T16:07:12.9522946Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2024-04-03T16:07:12.9634868Z + echo DOCKER_CONTAINER_ID=4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T16:07:12.9637783Z ++ echo dist/torch-2.4.0a0+gitd253bd7-cp312-cp312-linux_x86_64.whl 2024-04-03T16:07:12.9639755Z + docker exec -t 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 sh -c 'pip install dist/torch-2.4.0a0+gitd253bd7-cp312-cp312-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2024-04-03T16:07:13.5620270Z Processing ./dist/torch-2.4.0a0+gitd253bd7-cp312-cp312-linux_x86_64.whl 2024-04-03T16:07:13.9776254Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.4.0a0+gitd253bd7) (3.13.1) 2024-04-03T16:07:13.9787217Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.4.0a0+gitd253bd7) (4.10.0) 2024-04-03T16:07:13.9799462Z Requirement already satisfied: sympy in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.4.0a0+gitd253bd7) (1.12) 2024-04-03T16:07:13.9809516Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.4.0a0+gitd253bd7) (2.8.8) 2024-04-03T16:07:13.9817933Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.4.0a0+gitd253bd7) (3.1.3) 2024-04-03T16:07:13.9830163Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.4.0a0+gitd253bd7) (2024.2.0) 2024-04-03T16:07:13.9844926Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.4.0a0+gitd253bd7) (3.3.0) 2024-04-03T16:07:13.9900794Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from opt-einsum>=3.3->torch==2.4.0a0+gitd253bd7) (1.26.0) 2024-04-03T16:07:14.0197763Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from jinja2->torch==2.4.0a0+gitd253bd7) (2.1.5) 2024-04-03T16:07:14.0333582Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from sympy->torch==2.4.0a0+gitd253bd7) (1.2.1) 2024-04-03T16:07:14.6311125Z Installing collected packages: torch 2024-04-03T16:07:22.2016386Z Successfully installed torch-2.4.0a0+gitd253bd7 2024-04-03T16:07:22.3224866Z + echo 'Environment variables:' 2024-04-03T16:07:22.3225348Z Environment variables: 2024-04-03T16:07:22.3225653Z + env 2024-04-03T16:07:22.3243218Z INSTALLED_DB=yes 2024-04-03T16:07:22.3244039Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-04-03T16:07:22.3244870Z CONTINUE_THROUGH_ERROR=False 2024-04-03T16:07:22.3246021Z BUILD_ENVIRONMENT=linux-focal-py3.12-clang10 2024-04-03T16:07:22.3246710Z HOSTNAME=4b125761e850 2024-04-03T16:07:22.3247698Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_6e62e0b0-d560-4a92-8673-9ea2b37c5be9 2024-04-03T16:07:22.3248568Z GITHUB_ACTION=__self 2024-04-03T16:07:22.3248956Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2024-04-03T16:07:22.3249342Z GITHUB_RUN_NUMBER=192590 2024-04-03T16:07:22.3249728Z TEST_CONFIG=default 2024-04-03T16:07:22.3250033Z GITHUB_REPOSITORY_OWNER_ID=21003710 2024-04-03T16:07:22.3250563Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2024-04-03T16:07:22.3251046Z GITHUB_TRIGGERING_ACTOR=soulitzer 2024-04-03T16:07:22.3251545Z GITHUB_REF_TYPE=branch 2024-04-03T16:07:22.3263110Z TORCH_CUDA_ARCH_LIST=Maxwell 2024-04-03T16:07:22.3263942Z BASE_SHA=1d52c2d98507759a2143d52b922c541dbe36b6bf 2024-04-03T16:07:22.3264382Z XLA_CUDA= 2024-04-03T16:07:22.3264658Z HUGGING_FACE_HUB_TOKEN= 2024-04-03T16:07:22.3266307Z *** 2024-04-03T16:07:22.3266567Z GITHUB_REPOSITORY_ID=65600975 2024-04-03T16:07:22.3266946Z GITHUB_ACTIONS=true 2024-04-03T16:07:22.3267305Z SHA1=d253bd7befc64137de913dbb8727b511f1052411 2024-04-03T16:07:22.3271176Z GITHUB_SHA=4302cb7ecb2b1ae758f931ad18aeedf6ae927cb0 2024-04-03T16:07:22.3272512Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/pull/123154/merge 2024-04-03T16:07:22.3273275Z UCC_HOME=/usr 2024-04-03T16:07:22.3273793Z VERBOSE_TEST_LOGS=False 2024-04-03T16:07:22.3274344Z GITHUB_REF=refs/pull/123154/merge 2024-04-03T16:07:22.3274694Z SHARD_NUMBER=1 2024-04-03T16:07:22.3275047Z GITHUB_REF_PROTECTED=false 2024-04-03T16:07:22.3275624Z HOME=/var/lib/jenkins 2024-04-03T16:07:22.3276259Z GITHUB_API_URL=https://api.github.com 2024-04-03T16:07:22.3276790Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2024-04-03T16:07:22.3277165Z UCX_COMMIT= 2024-04-03T16:07:22.3277424Z SCCACHE_S3_KEY_PREFIX=pull 2024-04-03T16:07:22.3277751Z NUM_TEST_SHARDS=3 2024-04-03T16:07:22.3278159Z UCX_HOME=/usr 2024-04-03T16:07:22.3279792Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_6e62e0b0-d560-4a92-8673-9ea2b37c5be9 2024-04-03T16:07:22.3281282Z JOB_NAME=linux-focal-py3.12-clang10 / test (default, 1, 3, linux.2xlarge) 2024-04-03T16:07:22.3282401Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_6e62e0b0-d560-4a92-8673-9ea2b37c5be9 2024-04-03T16:07:22.3283551Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2024-04-03T16:07:22.3284203Z GITHUB_EVENT_NAME=pull_request 2024-04-03T16:07:22.3284544Z DASHBOARD_TAG= 2024-04-03T16:07:22.3284826Z GITHUB_RUN_ID=8536950919 2024-04-03T16:07:22.3285749Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_6e62e0b0-d560-4a92-8673-9ea2b37c5be9 2024-04-03T16:07:22.3286623Z GITHUB_ACTOR=caic99 2024-04-03T16:07:22.3286915Z PR_NUMBER=123154 2024-04-03T16:07:22.3287179Z DESIRED_CUDA= 2024-04-03T16:07:22.3287450Z GITHUB_RUN_ATTEMPT=2 2024-04-03T16:07:22.3287799Z ANACONDA_PYTHON_VERSION=3.12 2024-04-03T16:07:22.3288221Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2024-04-03T16:07:22.3288669Z TERM=xterm 2024-04-03T16:07:22.3288930Z INSTALLED_VISION=yes 2024-04-03T16:07:22.3289242Z BRANCH=pull/123154 2024-04-03T16:07:22.3289543Z OPENSSL_ROOT_DIR=/opt/openssl 2024-04-03T16:07:22.3289896Z CUDA_PATH=/usr/local/cuda 2024-04-03T16:07:22.3290640Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2024-04-03T16:07:22.3291396Z GITHUB_SERVER_URL=https://github.com 2024-04-03T16:07:22.3291775Z UCC_COMMIT= 2024-04-03T16:07:22.3292019Z REENABLED_ISSUES= 2024-04-03T16:07:22.3292289Z DOCS= 2024-04-03T16:07:22.3292535Z INSTALLED_ANDROID= 2024-04-03T16:07:22.3292804Z SHLVL=1 2024-04-03T16:07:22.3293038Z MAX_JOBS=6 2024-04-03T16:07:22.3293298Z GITHUB_ACTOR_ID=78061359 2024-04-03T16:07:22.3293737Z GITHUB_WORKFLOW_SHA=4302cb7ecb2b1ae758f931ad18aeedf6ae927cb0 2024-04-03T16:07:22.3294371Z GITHUB_REF_NAME=123154/merge 2024-04-03T16:07:22.3295196Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2024-04-03T16:07:22.3295753Z GITHUB_JOB=test 2024-04-03T16:07:22.3296039Z NO_TEST_TIMEOUT=False 2024-04-03T16:07:22.3296369Z GITHUB_REPOSITORY=pytorch/pytorch 2024-04-03T16:07:22.3296734Z GITHUB_RETENTION_DAYS=90 2024-04-03T16:07:22.3297060Z OPENSSL_DIR=/opt/openssl 2024-04-03T16:07:22.3297385Z GITHUB_ACTION_REPOSITORY= 2024-04-03T16:07:22.3298429Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-04-03T16:07:22.3299529Z GITHUB_BASE_REF=main 2024-04-03T16:07:22.3299827Z INSTALLED_ACL= 2024-04-03T16:07:22.3300181Z CI=true 2024-04-03T16:07:22.3300453Z GITHUB_REPOSITORY_OWNER=pytorch 2024-04-03T16:07:22.3300808Z JOB_ID=23402111135 2024-04-03T16:07:22.3301083Z INSTALLED_PROTOBUF=yes 2024-04-03T16:07:22.3301417Z GITHUB_HEAD_REF=patch-1 2024-04-03T16:07:22.3301727Z GITHUB_ACTION_REF= 2024-04-03T16:07:22.3302363Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2024-04-03T16:07:22.3302831Z GITHUB_WORKFLOW=pull 2024-04-03T16:07:22.3303151Z DEBIAN_FRONTEND=noninteractive 2024-04-03T16:07:22.3304063Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_6e62e0b0-d560-4a92-8673-9ea2b37c5be9 2024-04-03T16:07:22.3304891Z NO_TD=False 2024-04-03T16:07:22.3305170Z SKIP_SCCACHE_INITIALIZATION=1 2024-04-03T16:07:22.3305502Z _=/usr/bin/env 2024-04-03T16:07:22.3321831Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2024-04-03T16:07:22.3378146Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch 2024-04-03T16:07:22.3379599Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-04-03T16:07:22.3380493Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib 2024-04-03T16:07:22.3381396Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/test 2024-04-03T16:07:22.3382009Z + BUILD_DIR=build 2024-04-03T16:07:22.3382709Z + BUILD_RENAMED_DIR=build_renamed 2024-04-03T16:07:22.3383182Z + BUILD_BIN_DIR=build/bin 2024-04-03T16:07:22.3383608Z + SHARD_NUMBER=1 2024-04-03T16:07:22.3383900Z + NUM_TEST_SHARDS=3 2024-04-03T16:07:22.3384210Z + export VALGRIND=ON 2024-04-03T16:07:22.3384571Z + VALGRIND=ON 2024-04-03T16:07:22.3384974Z + [[ linux-focal-py3.12-clang10 == *clang9* ]] 2024-04-03T16:07:22.3385477Z + [[ 0 == \1 ]] 2024-04-03T16:07:22.3385753Z + [[ False == \1 ]] 2024-04-03T16:07:22.3386223Z + [[ linux-focal-py3.12-clang10 != *bazel* ]] 2024-04-03T16:07:22.3386755Z ++ realpath build/custom_test_artifacts 2024-04-03T16:07:22.3406801Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2024-04-03T16:07:22.3407496Z + [[ -n '' ]] 2024-04-03T16:07:22.3409437Z ++ dirname .ci/pytorch/test.sh 2024-04-03T16:07:22.3427672Z + source .ci/pytorch/common.sh 2024-04-03T16:07:22.3434004Z +++ dirname .ci/pytorch/common.sh 2024-04-03T16:07:22.3439149Z ++ source .ci/pytorch/common_utils.sh 2024-04-03T16:07:22.3447213Z +++ declare -f -t trap_add 2024-04-03T16:07:22.3452806Z ++ set -ex 2024-04-03T16:07:22.3453318Z ++ [[ linux-focal-py3.12-clang10 == *rocm* ]] 2024-04-03T16:07:22.3453794Z ++ BUILD_TEST_LIBTORCH=0 2024-04-03T16:07:22.3454257Z + echo 'Environment variables' 2024-04-03T16:07:22.3454633Z Environment variables 2024-04-03T16:07:22.3454935Z + env 2024-04-03T16:07:22.3459476Z INSTALLED_DB=yes 2024-04-03T16:07:22.3460499Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-04-03T16:07:22.3461481Z CONTINUE_THROUGH_ERROR=False 2024-04-03T16:07:22.3462506Z BUILD_ENVIRONMENT=linux-focal-py3.12-clang10 2024-04-03T16:07:22.3463173Z HOSTNAME=4b125761e850 2024-04-03T16:07:22.3464784Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_6e62e0b0-d560-4a92-8673-9ea2b37c5be9 2024-04-03T16:07:22.3466170Z GITHUB_ACTION=__self 2024-04-03T16:07:22.3466530Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2024-04-03T16:07:22.3466916Z GITHUB_RUN_NUMBER=192590 2024-04-03T16:07:22.3467471Z TEST_CONFIG=default 2024-04-03T16:07:22.3467784Z GITHUB_REPOSITORY_OWNER_ID=21003710 2024-04-03T16:07:22.3468288Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2024-04-03T16:07:22.3468713Z GITHUB_TRIGGERING_ACTOR=soulitzer 2024-04-03T16:07:22.3469078Z GITHUB_REF_TYPE=branch 2024-04-03T16:07:22.3469402Z TORCH_CUDA_ARCH_LIST=Maxwell 2024-04-03T16:07:22.3469809Z BASE_SHA=1d52c2d98507759a2143d52b922c541dbe36b6bf 2024-04-03T16:07:22.3470230Z XLA_CUDA= 2024-04-03T16:07:22.3470493Z HUGGING_FACE_HUB_TOKEN= 2024-04-03T16:07:22.3470926Z *** 2024-04-03T16:07:22.3471174Z GITHUB_REPOSITORY_ID=65600975 2024-04-03T16:07:22.3471526Z GITHUB_ACTIONS=true 2024-04-03T16:07:22.3471994Z SHA1=d253bd7befc64137de913dbb8727b511f1052411 2024-04-03T16:07:22.3472499Z GITHUB_SHA=4302cb7ecb2b1ae758f931ad18aeedf6ae927cb0 2024-04-03T16:07:22.3473219Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/pull/123154/merge 2024-04-03T16:07:22.3473853Z UCC_HOME=/usr 2024-04-03T16:07:22.3474126Z VERBOSE_TEST_LOGS=False 2024-04-03T16:07:22.3474469Z GITHUB_REF=refs/pull/123154/merge 2024-04-03T16:07:22.3474831Z SHARD_NUMBER=1 2024-04-03T16:07:22.3475114Z GITHUB_REF_PROTECTED=false 2024-04-03T16:07:22.3475448Z HOME=/var/lib/jenkins 2024-04-03T16:07:22.3475795Z GITHUB_API_URL=https://api.github.com 2024-04-03T16:07:22.3476214Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2024-04-03T16:07:22.3476624Z UCX_COMMIT= 2024-04-03T16:07:22.3476914Z SCCACHE_S3_KEY_PREFIX=pull 2024-04-03T16:07:22.3477247Z NUM_TEST_SHARDS=3 2024-04-03T16:07:22.3477519Z UCX_HOME=/usr 2024-04-03T16:07:22.3478363Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_6e62e0b0-d560-4a92-8673-9ea2b37c5be9 2024-04-03T16:07:22.3480081Z JOB_NAME=linux-focal-py3.12-clang10 / test (default, 1, 3, linux.2xlarge) 2024-04-03T16:07:22.3481721Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_6e62e0b0-d560-4a92-8673-9ea2b37c5be9 2024-04-03T16:07:22.3483781Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2024-04-03T16:07:22.3484942Z GITHUB_EVENT_NAME=pull_request 2024-04-03T16:07:22.3485288Z DASHBOARD_TAG= 2024-04-03T16:07:22.3485585Z GITHUB_RUN_ID=8536950919 2024-04-03T16:07:22.3486528Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_6e62e0b0-d560-4a92-8673-9ea2b37c5be9 2024-04-03T16:07:22.3487396Z GITHUB_ACTOR=caic99 2024-04-03T16:07:22.3487697Z PR_NUMBER=123154 2024-04-03T16:07:22.3487983Z DESIRED_CUDA= 2024-04-03T16:07:22.3488251Z GITHUB_RUN_ATTEMPT=2 2024-04-03T16:07:22.3488556Z VALGRIND=ON 2024-04-03T16:07:22.3488836Z ANACONDA_PYTHON_VERSION=3.12 2024-04-03T16:07:22.3489273Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2024-04-03T16:07:22.3489777Z TERM=xterm 2024-04-03T16:07:22.3490041Z INSTALLED_VISION=yes 2024-04-03T16:07:22.3490335Z BRANCH=pull/123154 2024-04-03T16:07:22.3490653Z OPENSSL_ROOT_DIR=/opt/openssl 2024-04-03T16:07:22.3491010Z CUDA_PATH=/usr/local/cuda 2024-04-03T16:07:22.3491757Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2024-04-03T16:07:22.3492530Z GITHUB_SERVER_URL=https://github.com 2024-04-03T16:07:22.3492918Z UCC_COMMIT= 2024-04-03T16:07:22.3493173Z REENABLED_ISSUES= 2024-04-03T16:07:22.3493452Z DOCS= 2024-04-03T16:07:22.3493700Z INSTALLED_ANDROID= 2024-04-03T16:07:22.3494084Z SHLVL=1 2024-04-03T16:07:22.3494336Z MAX_JOBS=6 2024-04-03T16:07:22.3494610Z GITHUB_ACTOR_ID=78061359 2024-04-03T16:07:22.3495054Z GITHUB_WORKFLOW_SHA=4302cb7ecb2b1ae758f931ad18aeedf6ae927cb0 2024-04-03T16:07:22.3495584Z GITHUB_REF_NAME=123154/merge 2024-04-03T16:07:22.3496186Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2024-04-03T16:07:22.3496755Z GITHUB_JOB=test 2024-04-03T16:07:22.3497049Z NO_TEST_TIMEOUT=False 2024-04-03T16:07:22.3497394Z GITHUB_REPOSITORY=pytorch/pytorch 2024-04-03T16:07:22.3497769Z GITHUB_RETENTION_DAYS=90 2024-04-03T16:07:22.3498114Z OPENSSL_DIR=/opt/openssl 2024-04-03T16:07:22.3498456Z GITHUB_ACTION_REPOSITORY= 2024-04-03T16:07:22.3499655Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-04-03T16:07:22.3500771Z GITHUB_BASE_REF=main 2024-04-03T16:07:22.3501081Z INSTALLED_ACL= 2024-04-03T16:07:22.3501348Z CI=true 2024-04-03T16:07:22.3501658Z GITHUB_REPOSITORY_OWNER=pytorch 2024-04-03T16:07:22.3502153Z JOB_ID=23402111135 2024-04-03T16:07:22.3502474Z INSTALLED_PROTOBUF=yes 2024-04-03T16:07:22.3502903Z GITHUB_HEAD_REF=patch-1 2024-04-03T16:07:22.3503264Z GITHUB_ACTION_REF= 2024-04-03T16:07:22.3503677Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2024-04-03T16:07:22.3504153Z GITHUB_WORKFLOW=pull 2024-04-03T16:07:22.3504617Z DEBIAN_FRONTEND=noninteractive 2024-04-03T16:07:22.3505541Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_6e62e0b0-d560-4a92-8673-9ea2b37c5be9 2024-04-03T16:07:22.3506397Z NO_TD=False 2024-04-03T16:07:22.3506693Z SKIP_SCCACHE_INITIALIZATION=1 2024-04-03T16:07:22.3507043Z _=/usr/bin/env 2024-04-03T16:07:22.3507375Z + echo 'Testing pytorch' 2024-04-03T16:07:22.3507708Z Testing pytorch 2024-04-03T16:07:22.3508002Z + export LANG=C.UTF-8 2024-04-03T16:07:22.3508331Z + LANG=C.UTF-8 2024-04-03T16:07:22.3582906Z + PR_NUMBER=123154 2024-04-03T16:07:22.3583399Z + [[ default == \d\e\f\a\u\l\t ]] 2024-04-03T16:07:22.3584027Z + export CUDA_VISIBLE_DEVICES=0 2024-04-03T16:07:22.3584563Z + CUDA_VISIBLE_DEVICES=0 2024-04-03T16:07:22.3585057Z + export HIP_VISIBLE_DEVICES=0 2024-04-03T16:07:22.3585660Z + HIP_VISIBLE_DEVICES=0 2024-04-03T16:07:22.3586216Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2024-04-03T16:07:22.3586989Z + [[ default == \s\l\o\w ]] 2024-04-03T16:07:22.3587623Z + [[ linux-focal-py3.12-clang10 == *slow-gradcheck* ]] 2024-04-03T16:07:22.3588223Z + [[ linux-focal-py3.12-clang10 == *cuda* ]] 2024-04-03T16:07:22.3588734Z + [[ linux-focal-py3.12-clang10 == *rocm* ]] 2024-04-03T16:07:22.3589254Z + [[ linux-focal-py3.12-clang10 == *xpu* ]] 2024-04-03T16:07:22.3589692Z + [[ default == *crossref* ]] 2024-04-03T16:07:22.3590116Z + [[ linux-focal-py3.12-clang10 == *rocm* ]] 2024-04-03T16:07:22.3590630Z + [[ linux-focal-py3.12-clang10 == *xpu* ]] 2024-04-03T16:07:22.3591154Z + [[ linux-focal-py3.12-clang10 != *-bazel-* ]] 2024-04-03T16:07:22.3591638Z + pip_install --user ninja==1.10.2 2024-04-03T16:07:22.3592160Z + pip install --progress-bar off --user ninja==1.10.2 2024-04-03T16:07:22.8181506Z Collecting ninja==1.10.2 2024-04-03T16:07:22.8396323Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2024-04-03T16:07:22.8538666Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2024-04-03T16:07:23.4037063Z Installing collected packages: ninja 2024-04-03T16:07:23.4114995Z  WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH. 2024-04-03T16:07:23.4116307Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2024-04-03T16:07:23.4164108Z Successfully installed ninja-1.10.2 2024-04-03T16:07:23.5528983Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-04-03T16:07:23.5531265Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-04-03T16:07:23.5532535Z + install_tlparse 2024-04-03T16:07:23.5533127Z + pip_install --user tlparse==0.3.7 2024-04-03T16:07:23.5533735Z + pip install --progress-bar off --user tlparse==0.3.7 2024-04-03T16:07:23.9914782Z Collecting tlparse==0.3.7 2024-04-03T16:07:24.0148298Z Downloading tlparse-0.3.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (346 bytes) 2024-04-03T16:07:24.0271483Z Downloading tlparse-0.3.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB) 2024-04-03T16:07:24.6246192Z Installing collected packages: tlparse 2024-04-03T16:07:24.6642357Z Successfully installed tlparse-0.3.7 2024-04-03T16:07:24.8090956Z ++ python -m site --user-base 2024-04-03T16:07:24.8224335Z + PATH=/var/lib/jenkins/.local/bin:/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-04-03T16:07:24.8226250Z + [[ linux-focal-py3.12-clang10 == *asan* ]] 2024-04-03T16:07:24.8226803Z + [[ linux-focal-py3.12-clang10 == *-debug* ]] 2024-04-03T16:07:24.8227637Z + [[ linux-focal-py3.12-clang10 != *-bazel-* ]] 2024-04-03T16:07:24.8228538Z + echo 'We are not in debug mode: linux-focal-py3.12-clang10. Expect the assertion to pass' 2024-04-03T16:07:24.8229564Z We are not in debug mode: linux-focal-py3.12-clang10. Expect the assertion to pass 2024-04-03T16:07:24.8230196Z + cd test 2024-04-03T16:07:24.8237073Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2024-04-03T16:07:26.0825665Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2024-04-03T16:07:26.0826178Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2024-04-03T16:07:26.0828525Z + DYNAMO_BENCHMARK_FLAGS=() 2024-04-03T16:07:26.0829253Z + [[ default == *dynamo_eager* ]] 2024-04-03T16:07:26.0829963Z + [[ default == *aot_eager* ]] 2024-04-03T16:07:26.0830643Z + [[ default == *aot_inductor* ]] 2024-04-03T16:07:26.0831341Z + [[ default == *inductor* ]] 2024-04-03T16:07:26.0831990Z + [[ default == *dynamic* ]] 2024-04-03T16:07:26.0832653Z + [[ default == *cpu_inductor* ]] 2024-04-03T16:07:26.0833583Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2024-04-03T16:07:26.0843810Z + [[ linux-focal-py3.12-clang10 == *tbb* ]] 2024-04-03T16:07:26.0858359Z + [[ linux-focal-py3.12-clang10 == *libtorch* ]] 2024-04-03T16:07:26.0858979Z + [[ linux-focal-py3.12-clang10 == *-bazel-* ]] 2024-04-03T16:07:26.0860460Z + cd test 2024-04-03T16:07:26.0861471Z + python -c 'import torch; print(torch.__config__.show())' 2024-04-03T16:07:27.0734412Z PyTorch built with: 2024-04-03T16:07:27.0735197Z - GCC 4.2 2024-04-03T16:07:27.0735740Z - C++ Version: 201703 2024-04-03T16:07:27.0736380Z - clang 10.0.0 2024-04-03T16:07:27.0737404Z - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications 2024-04-03T16:07:27.0738492Z - Intel(R) MKL-DNN v3.3.6 (Git Hash 86e6af5974177e513fd3fee58425e1063e7f1361) 2024-04-03T16:07:27.0739152Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2024-04-03T16:07:27.0739657Z - LAPACK is enabled (usually provided by MKL) 2024-04-03T16:07:27.0740119Z - NNPACK is enabled 2024-04-03T16:07:27.0740516Z - CPU capability usage: AVX512 2024-04-03T16:07:27.0749908Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=1 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=pedantic -Wno-error=old-style-cast -Wno-error=inconsistent-missing-override -Wno-error=inconsistent-missing-destructor-override -Wconstant-conversion -Wno-invalid-partial-specialization -Wno-missing-braces -Qunused-arguments -fcolor-diagnostics -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.4.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, 2024-04-03T16:07:27.0758703Z 2024-04-03T16:07:27.3309939Z + cd test 2024-04-03T16:07:27.3310676Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2024-04-03T16:07:28.3365780Z ATen/Parallel: 2024-04-03T16:07:28.3366383Z at::get_num_threads() : 4 2024-04-03T16:07:28.3367045Z at::get_num_interop_threads() : 8 2024-04-03T16:07:28.3367648Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2024-04-03T16:07:28.3368038Z omp_get_max_threads() : 4 2024-04-03T16:07:28.3369230Z Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications 2024-04-03T16:07:28.3370057Z mkl_get_max_threads() : 4 2024-04-03T16:07:28.3370680Z Intel(R) MKL-DNN v3.3.6 (Git Hash 86e6af5974177e513fd3fee58425e1063e7f1361) 2024-04-03T16:07:28.3371289Z std::thread::hardware_concurrency() : 8 2024-04-03T16:07:28.3371718Z Environment variables: 2024-04-03T16:07:28.3372060Z OMP_NUM_THREADS : [not set] 2024-04-03T16:07:28.3372405Z MKL_NUM_THREADS : [not set] 2024-04-03T16:07:28.3372771Z ATen parallel backend: OpenMP 2024-04-03T16:07:28.3373020Z 2024-04-03T16:07:28.5646091Z + [[ default == *backward* ]] 2024-04-03T16:07:28.5646810Z + [[ default == *xla* ]] 2024-04-03T16:07:28.5647351Z + [[ default == *executorch* ]] 2024-04-03T16:07:28.5647814Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2024-04-03T16:07:28.5648433Z + [[ linux-focal-py3.12-clang10 == *libtorch* ]] 2024-04-03T16:07:28.5648910Z + [[ default == distributed ]] 2024-04-03T16:07:28.5649268Z + [[ default == deploy ]] 2024-04-03T16:07:28.5649733Z + [[ default == *inductor_distributed* ]] 2024-04-03T16:07:28.5650329Z + [[ default == *huggingface* ]] 2024-04-03T16:07:28.5650971Z + [[ default == *timm* ]] 2024-04-03T16:07:28.5651314Z + [[ default == *torchbench* ]] 2024-04-03T16:07:28.5651776Z + [[ default == *inductor_cpp_wrapper_abi_compatible* ]] 2024-04-03T16:07:28.5652269Z + [[ default == *inductor* ]] 2024-04-03T16:07:28.5652627Z + [[ default == *dynamo* ]] 2024-04-03T16:07:28.5652978Z + [[ default == *dynamo* ]] 2024-04-03T16:07:28.5653292Z + [[ 1 == 1 ]] 2024-04-03T16:07:28.5653605Z + [[ 3 -gt 1 ]] 2024-04-03T16:07:28.5653951Z + test_without_numpy 2024-04-03T16:07:28.5654288Z ++ dirname .ci/pytorch/test.sh 2024-04-03T16:07:28.5658511Z + pushd .ci/pytorch 2024-04-03T16:07:28.5658892Z ~/workspace/.ci/pytorch ~/workspace 2024-04-03T16:07:28.5660251Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())' 2024-04-03T16:07:29.4651427Z :1: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2024-04-03T16:07:29.7196956Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2024-04-03T16:07:30.6175011Z :1: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2024-04-03T16:07:30.6184600Z tensor([0., 1.]) 2024-04-03T16:07:30.7983980Z + [[ default == *dynamo* ]] 2024-04-03T16:07:30.7984572Z + popd 2024-04-03T16:07:30.7984842Z ~/workspace 2024-04-03T16:07:30.7985122Z + install_torchvision 2024-04-03T16:07:30.7985436Z + local orig_preload 2024-04-03T16:07:30.7985748Z + local commit 2024-04-03T16:07:30.7987841Z ++ get_pinned_commit vision 2024-04-03T16:07:30.7988243Z ++ cat .github/ci_commit_pins/vision.txt 2024-04-03T16:07:30.8009907Z + commit=2c4665ffbb64f03f5d18016d3398af4ac4da5f03 2024-04-03T16:07:30.8010695Z + orig_preload= 2024-04-03T16:07:30.8011103Z + '[' -n '' ']' 2024-04-03T16:07:30.8011975Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@2c4665ffbb64f03f5d18016d3398af4ac4da5f03 2024-04-03T16:07:30.8013755Z + pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@2c4665ffbb64f03f5d18016d3398af4ac4da5f03 2024-04-03T16:07:31.2050389Z Collecting git+https://github.com/pytorch/vision.git@2c4665ffbb64f03f5d18016d3398af4ac4da5f03 2024-04-03T16:07:31.2056426Z Cloning https://github.com/pytorch/vision.git (to revision 2c4665ffbb64f03f5d18016d3398af4ac4da5f03) to /tmp/pip-req-build-npv14j2l 2024-04-03T16:07:31.2328635Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-npv14j2l 2024-04-03T16:07:33.1819450Z Running command git rev-parse -q --verify 'sha^2c4665ffbb64f03f5d18016d3398af4ac4da5f03' 2024-04-03T16:07:33.1837341Z Running command git fetch -q https://github.com/pytorch/vision.git 2c4665ffbb64f03f5d18016d3398af4ac4da5f03 2024-04-03T16:07:34.4763602Z Running command git checkout -q 2c4665ffbb64f03f5d18016d3398af4ac4da5f03 2024-04-03T16:07:34.9699379Z Resolved https://github.com/pytorch/vision.git to commit 2c4665ffbb64f03f5d18016d3398af4ac4da5f03 2024-04-03T16:07:36.7278229Z Preparing metadata (setup.py) ... [?25l- \ done 2024-04-03T16:07:36.7330325Z [?25hRequirement already satisfied: numpy in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torchvision==0.19.0a0+2c4665f) (1.26.0) 2024-04-03T16:07:36.7343139Z Requirement already satisfied: torch in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torchvision==0.19.0a0+2c4665f) (2.4.0a0+gitd253bd7) 2024-04-03T16:07:36.7354878Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torchvision==0.19.0a0+2c4665f) (10.2.0) 2024-04-03T16:07:36.7669822Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+2c4665f) (3.13.1) 2024-04-03T16:07:36.7678444Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+2c4665f) (4.10.0) 2024-04-03T16:07:36.7688277Z Requirement already satisfied: sympy in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+2c4665f) (1.12) 2024-04-03T16:07:36.7696290Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+2c4665f) (2.8.8) 2024-04-03T16:07:36.7703100Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+2c4665f) (3.1.3) 2024-04-03T16:07:36.7712484Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+2c4665f) (2024.2.0) 2024-04-03T16:07:36.8022407Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from jinja2->torch->torchvision==0.19.0a0+2c4665f) (2.1.5) 2024-04-03T16:07:36.8165766Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from sympy->torch->torchvision==0.19.0a0+2c4665f) (1.2.1) 2024-04-03T16:07:36.8226274Z Building wheels for collected packages: torchvision 2024-04-03T16:08:39.8197652Z Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2024-04-03T16:08:39.8234535Z [?25h Created wheel for torchvision: filename=torchvision-0.19.0a0+2c4665f-cp312-cp312-linux_x86_64.whl size=1108775 sha256=4fedfb0f7c5f42ee9096c2908774a1e3d68d7fe3a8aeb3a267e41422421560c0 2024-04-03T16:08:39.8237038Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/5c/ee/9a/bf3b44d5cdc340d940df921a03f9f6b6b90610bf0b770e194f 2024-04-03T16:08:39.8270124Z Successfully built torchvision 2024-04-03T16:08:40.3654980Z Installing collected packages: torchvision 2024-04-03T16:08:40.8088225Z Successfully installed torchvision-0.19.0a0+2c4665f 2024-04-03T16:08:40.9672862Z + '[' -n '' ']' 2024-04-03T16:08:40.9673199Z + test_python_shard 1 2024-04-03T16:08:40.9673554Z + [[ -z 3 ]] 2024-04-03T16:08:40.9703575Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 1 3 --verbose 2024-04-03T16:08:41.0566920Z /var/lib/jenkins/workspace/test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-04-03T16:08:41.0568071Z import pkg_resources 2024-04-03T16:08:42.2987637Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:08:43.2398632Z Downloading https://ossci-metrics.s3.amazonaws.com/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json 2024-04-03T16:08:43.2964452Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-04-03T16:08:43.3348834Z Ignoring disabled issues: [''] 2024-04-03T16:08:43.3414008Z Found test times from artifacts 2024-04-03T16:08:43.3669696Z Found test times from artifacts 2024-04-03T16:08:43.3677182Z Running all tests 2024-04-03T16:08:43.3761658Z Name: tests to run (est. time: 67.56min) 2024-04-03T16:08:43.3762332Z Serial tests (47): 2024-04-03T16:08:43.3762990Z test_ci_sanity_check_fail 1/1 2024-04-03T16:08:43.3763520Z test_cuda_expandable_segments 1/1 2024-04-03T16:08:43.3763931Z test_cpp_api_parity 1/1 2024-04-03T16:08:43.3764283Z test_show_pickle 1/1 2024-04-03T16:08:43.3764596Z test_autocast 1/1 2024-04-03T16:08:43.3764930Z test_namedtuple_return_api 1/1 2024-04-03T16:08:43.3765409Z test_autograd_fallback 1/1 2024-04-03T16:08:43.3765753Z nn/test_convolution 1/1 2024-04-03T16:08:43.3766086Z test_modules 1/1 2024-04-03T16:08:43.3766380Z test_utils 1/1 2024-04-03T16:08:43.3766658Z test_tensorexpr 1/1 2024-04-03T16:08:43.3766982Z test_sort_and_select 1/1 2024-04-03T16:08:43.3767334Z test_native_mha 1/1 2024-04-03T16:08:43.3767644Z test_jit_disabled 1/1 2024-04-03T16:08:43.3768047Z test_cpp_extensions_open_device_registration 1/1 2024-04-03T16:08:43.3768521Z test_multiprocessing 1/1 2024-04-03T16:08:43.3768870Z test_cpp_extensions_jit 1/1 2024-04-03T16:08:43.3769233Z test_fake_tensor 1/1 2024-04-03T16:08:43.3769562Z test_python_dispatch 1/1 2024-04-03T16:08:43.3769893Z test_autograd 1/1 2024-04-03T16:08:43.3770198Z test_cuda 1/1 2024-04-03T16:08:43.3770485Z test_indexing 1/1 2024-04-03T16:08:43.3770773Z test_torch 1/1 2024-04-03T16:08:43.3771062Z test_linalg 1/1 2024-04-03T16:08:43.3771373Z test_tensor_creation_ops 1/1 2024-04-03T16:08:43.3771730Z test_overrides 1/1 2024-04-03T16:08:43.3772044Z test_schema_check 1/1 2024-04-03T16:08:43.3772380Z functorch/test_vmap 1/1 2024-04-03T16:08:43.3772698Z test_fx 1/1 2024-04-03T16:08:43.3772984Z test_reductions 1/1 2024-04-03T16:08:43.3773315Z test_mobile_optimizer 1/1 2024-04-03T16:08:43.3773654Z test_cuda_trace 1/1 2024-04-03T16:08:43.3774078Z test_serialization 1/1 2024-04-03T16:08:43.3774439Z test_multiprocessing_spawn 1/1 2024-04-03T16:08:43.3774804Z test_dispatch 1/1 2024-04-03T16:08:43.3775108Z test_prims 1/1 2024-04-03T16:08:43.3775404Z test_nn 1/1 2024-04-03T16:08:43.3775682Z test_cuda_primary_ctx 1/1 2024-04-03T16:08:43.3776033Z nn/test_pooling 1/1 2024-04-03T16:08:43.3776363Z test_cuda_nvml_based_avail 1/1 2024-04-03T16:08:43.3776720Z test_dataloader 1/1 2024-04-03T16:08:43.3777037Z test_sparse_csr 1/1 2024-04-03T16:08:43.3777356Z test_spectral_ops 1/1 2024-04-03T16:08:43.3777714Z distributions/test_distributions 1/1 2024-04-03T16:08:43.3778117Z doctests 1/1 2024-04-03T16:08:43.3778427Z test_cpp_extensions_aot_ninja 1/1 2024-04-03T16:08:43.3778832Z test_cpp_extensions_aot_no_ninja 1/1 2024-04-03T16:08:43.3779238Z Parallel tests (41): 2024-04-03T16:08:43.3779579Z export/test_retraceability 1/1 2024-04-03T16:08:43.3780225Z test_jiterator 1/1 2024-04-03T16:08:43.3780586Z export/test_export_nonstrict 1/1 2024-04-03T16:08:43.3780983Z test_subclass 1/1 2024-04-03T16:08:43.3781307Z test_model_exports_to_core_aten 1/1 2024-04-03T16:08:43.3781715Z export/test_hop 1/1 2024-04-03T16:08:43.3782279Z test_fx_passes 1/1 2024-04-03T16:08:43.3782584Z nn/test_dropout 1/1 2024-04-03T16:08:43.3782918Z test_segment_reductions 1/1 2024-04-03T16:08:43.3783297Z nn/test_module_hooks 1/1 2024-04-03T16:08:43.3783622Z test_weak 1/1 2024-04-03T16:08:43.3783919Z test_type_hints 1/1 2024-04-03T16:08:43.3784275Z torch_np/numpy_tests/lib/test_type_check 1/1 2024-04-03T16:08:43.3784833Z export/test_verifier 1/1 2024-04-03T16:08:43.3785234Z benchmark_utils/test_benchmark_utils 1/1 2024-04-03T16:08:43.3785652Z nn/test_embedding 1/1 2024-04-03T16:08:43.3786031Z torch_np/numpy_tests/core/test_numeric 1/1 2024-04-03T16:08:43.3786466Z test_import_stats 1/1 2024-04-03T16:08:43.3786785Z test_monitor 1/1 2024-04-03T16:08:43.3787096Z nn/test_load_state_dict 1/1 2024-04-03T16:08:43.3787471Z functorch/test_control_flow 1/1 2024-04-03T16:08:43.3787833Z test_vulkan 1/1 2024-04-03T16:08:43.3788149Z test_compile_benchmark_util 1/1 2024-04-03T16:08:43.3788542Z export/test_export 1/1 2024-04-03T16:08:43.3788881Z export/test_unflatten 1/1 2024-04-03T16:08:43.3789258Z distributions/test_constraints 1/1 2024-04-03T16:08:43.3789663Z functorch/test_ops 1/5 2024-04-03T16:08:43.3789998Z test_functional_optim 1/1 2024-04-03T16:08:43.3790359Z test_type_info 1/1 2024-04-03T16:08:43.3790683Z test_cuda_sanitizer 1/1 2024-04-03T16:08:43.3791047Z lazy/test_generator 1/1 2024-04-03T16:08:43.3791421Z nn/test_init 1/1 2024-04-03T16:08:43.3791777Z torch_np/numpy_tests/core/test_indexing 1/1 2024-04-03T16:08:43.3792252Z torch_np/numpy_tests/core/test_shape_base 1/1 2024-04-03T16:08:43.3792708Z functorch/test_aotdispatch 1/5 2024-04-03T16:08:43.3793106Z functorch/test_aotdispatch 2/5 2024-04-03T16:08:43.3793501Z test_meta 2/3 2024-04-03T16:08:43.3793873Z test_meta 3/3 2024-04-03T16:08:43.3794166Z optim/test_optim 1/1 2024-04-03T16:08:43.3794483Z lazy/test_bindings 1/1 2024-04-03T16:08:43.3794825Z test_quantization 2/2 2024-04-03T16:08:43.3795178Z Name: excluded (est. time: 0.0min) 2024-04-03T16:08:43.3795546Z Serial tests (0): 2024-04-03T16:08:43.3795850Z Parallel tests (0): 2024-04-03T16:08:43.3796525Z Starting test batch 'tests to run' 0.0 seconds after initiating testing 2024-04-03T16:08:43.3821451Z Running test_ci_sanity_check_fail 1/1 ... [2024-04-03 16:08:43.381686] 2024-04-03T16:08:43.3825325Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:08:43.382058] 2024-04-03T16:08:44.7114690Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:08:44.7120668Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:08:50.1713755Z Running test_cuda_expandable_segments 1/1 ... [2024-04-03 16:08:50.171011] 2024-04-03T16:08:50.1715968Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cuda_expandable_segments.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:08:50.171304] 2024-04-03T16:08:52.5648936Z 2024-04-03T16:08:52.5650743Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_d957a6afae90b81a_.log 2024-04-03T16:08:52.5651922Z Running 0 items in this shard: 2024-04-03T16:08:52.5652193Z 2024-04-03T16:08:52.5652566Z Running test_cpp_api_parity 1/1 ... [2024-04-03 16:08:52.565091] 2024-04-03T16:08:52.5656652Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:08:52.565380] 2024-04-03T16:09:02.1941430Z 2024-04-03T16:09:02.1943881Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_9d02a42b9b028eef_.log 2024-04-03T16:09:02.2178805Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated_cuda, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_zero_beta, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_zero_beta_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SoftMarginLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SoftMarginLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda 2024-04-03T16:09:02.2407918Z 2024-04-03T16:09:02.2408317Z Running test_show_pickle 1/1 ... [2024-04-03 16:09:02.195053] 2024-04-03T16:09:02.2410074Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:09:02.195397] 2024-04-03T16:09:04.4630949Z 2024-04-03T16:09:04.4632377Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_5c57b98c40a25715_.log 2024-04-03T16:09:04.4633859Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model 2024-04-03T16:09:04.4634460Z 2024-04-03T16:09:04.4634756Z Running test_autocast 1/1 ... [2024-04-03 16:09:04.463162] 2024-04-03T16:09:04.4637409Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:09:04.463462] 2024-04-03T16:09:07.4320707Z 2024-04-03T16:09:07.4322243Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_05d428834f0e8e08_.log 2024-04-03T16:09:07.4328305Z Running 13 items in this shard: test/test_autocast.py::TestAutocastCPU::test_autocast_disabled_with_fp32_dtype, test/test_autocast.py::TestAutocastCPU::test_autocast_methods_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_16, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_rnn, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_16, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_need_autocast_promote, test/test_autocast.py::TestAutocastGPU::test_cache_disabled, test/test_autocast.py::TestAutocastGPU::test_cast_cache_is_global, test/test_autocast.py::TestTorchAutocast::test_autocast_fast_dtype, test/test_autocast.py::TestTorchAutocast::test_invalid_device 2024-04-03T16:09:07.4333283Z 2024-04-03T16:09:07.4333656Z Running test_namedtuple_return_api 1/1 ... [2024-04-03 16:09:07.432189] 2024-04-03T16:09:07.4335701Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:09:07.432498] 2024-04-03T16:09:10.6013046Z 2024-04-03T16:09:10.6014687Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_adb90df797843df3_.log 2024-04-03T16:09:10.6017103Z Running 3 items in this shard: test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_import_return_types, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_namedtuple_return, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_native_functions_yaml 2024-04-03T16:09:10.6018582Z 2024-04-03T16:09:10.6018926Z Running test_autograd_fallback 1/1 ... [2024-04-03 16:09:10.601377] 2024-04-03T16:09:10.6030377Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:09:10.602729] 2024-04-03T16:09:12.9203491Z 2024-04-03T16:09:12.9205463Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_c8b80034a8f27493_.log 2024-04-03T16:09:12.9224213Z Running 28 items in this shard: test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_warn 2024-04-03T16:09:12.9238884Z 2024-04-03T16:09:12.9239285Z Running nn/test_convolution 1/1 ... [2024-04-03 16:09:12.920447] 2024-04-03T16:09:12.9241504Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:09:12.920832] 2024-04-03T16:09:34.8812259Z 2024-04-03T16:09:34.8813662Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_52b85414886e8939_.log 2024-04-03T16:09:34.9225613Z Running 585 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_large_output_padding_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_large_output_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose3d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_contig_wrong_stride_cudnn_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_same_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_same_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_valid_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_valid_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_no_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_same_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_same_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_valid_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_valid_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_backward_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_backward_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_same_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_same_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_valid_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_valid_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_True_cpu, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_False_cpu, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_ic1_channels_last_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_nosplit_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_and_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transposed_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv2d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_conv_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float64 2024-04-03T16:09:34.9618848Z 2024-04-03T16:09:34.9619266Z Running test_modules 1/1 ... [2024-04-03 16:09:34.882764] 2024-04-03T16:09:34.9620957Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_modules.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:09:34.883125] 2024-04-03T16:16:12.5596297Z 2024-04-03T16:16:12.5598221Z test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.1_2ad8fd1d0eef007f_.log 2024-04-03T16:16:12.7474643Z Running 4129 items in this shard: test/test_modules.py::TestModuleCPU::test_check_inplace_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_forward_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_forward_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_forward_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_InstanceNorm1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_InstanceNorm1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_InstanceNorm2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_InstanceNorm2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_InstanceNorm3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_InstanceNorm3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LSTM_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LSTM_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiheadAttention_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiheadAttention_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNN_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNN_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerEncoder_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerEncoder_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_repr_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_repr_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_repr_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_save_load_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_save_load_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_save_load_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BCELoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BCELoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BCEWithLogitsLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BCEWithLogitsLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm2d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm2d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm2d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm2d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm3d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm3d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm3d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm3d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Bilinear_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Bilinear_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CELU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CELU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CTCLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CTCLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CosineEmbeddingLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CosineEmbeddingLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CrossEntropyLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CrossEntropyLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ELU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ELU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Embedding_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Embedding_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GELU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GELU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRUCell_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRUCell_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRU_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRU_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRU_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRU_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GaussianNLLLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GaussianNLLLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GroupNorm_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GroupNorm_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardshrink_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardshrink_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardswish_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardswish_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardtanh_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardtanh_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_HingeEmbeddingLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_HingeEmbeddingLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_HuberLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_HuberLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm1d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm1d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm1d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm1d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm3d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm3d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm3d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm3d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_KLDivLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_KLDivLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_L1Loss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_L1Loss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTMCell_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTMCell_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTM_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTM_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTM_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTM_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LayerNorm_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LayerNorm_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LeakyReLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LeakyReLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Linear_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Linear_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LocalResponseNorm_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LocalResponseNorm_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LogSigmoid_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LogSigmoid_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LogSoftmax_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LogSoftmax_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MSELoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MSELoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MarginRankingLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MarginRankingLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Mish_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Mish_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiLabelMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiLabelMarginLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiLabelSoftMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiLabelSoftMarginLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiMarginLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiheadAttention_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiheadAttention_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiheadAttention_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiheadAttention_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_NLLLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_NLLLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_PReLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_PReLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_PoissonNLLLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_PoissonNLLLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RMSNorm_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RMSNorm_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNNCell_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNNCell_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReLU6_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReLU6_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SELU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SELU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SiLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SiLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Sigmoid_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Sigmoid_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SmoothL1Loss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SmoothL1Loss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SoftMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SoftMarginLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmin_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmin_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softplus_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softplus_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softshrink_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softshrink_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softsign_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softsign_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Tanh_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Tanh_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Tanhshrink_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Tanhshrink_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Threshold_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Threshold_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerDecoderLayer_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerDecoderLayer_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoderLayer_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoderLayer_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoderLayer_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoderLayer_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Transformer_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Transformer_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BCEWithLogitsLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCEWithLogitsLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BCEWithLogitsLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCEWithLogitsLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BCEWithLogitsLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCEWithLogitsLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BCEWithLogitsLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCEWithLogitsLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_eval_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_eval_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_eval_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_eval_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_True_set_grad_True_cpu_float32, 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test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_False_set_grad_False_cpu_complex128, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_False_set_grad_False_cpu_complex32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_False_set_grad_False_cpu_complex64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_False_set_grad_True_cpu_complex128, 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test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_True_set_grad_True_cpu_complex128, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_True_set_grad_True_cpu_complex32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_True_set_grad_True_cpu_complex64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_False_cpu_complex128, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_False_cpu_complex32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_False_cpu_complex64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_True_cpu_complex128, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_True_cpu_complex32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_True_cpu_complex64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_False_cpu_complex128, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_False_cpu_complex32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_False_cpu_complex64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_True_cpu_complex128, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_True_cpu_complex32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_True_cpu_complex64, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_False_set_grad_False_cpu_float16, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_False_set_grad_True_cpu_float16, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_True_set_grad_False_cpu_float16, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_True_set_grad_True_cpu_float16, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_False_set_grad_False_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_False_set_grad_False_cpu_float16, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_False_set_grad_True_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_False_set_grad_True_cpu_float16, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_False_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_False_cpu_float16, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_True_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_True_cpu_float16, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_train_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_train_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_train_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_train_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SoftMarginLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SoftMarginLoss_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SoftMarginLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SoftMarginLoss_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SoftMarginLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SoftMarginLoss_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_SoftMarginLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SoftMarginLoss_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Tanh_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanh_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Tanh_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanh_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Tanh_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanh_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Tanh_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanh_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_True_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_False_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_False_set_grad_True_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_True_set_grad_False_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_True_set_grad_True_cpu_float64 2024-04-03T16:16:12.9319987Z 2024-04-03T16:16:12.9320397Z Running test_utils 1/1 ... [2024-04-03 16:16:12.565112] 2024-04-03T16:16:12.9322106Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:16:12.565409] 2024-04-03T16:17:00.3712448Z 2024-04-03T16:17:00.3713678Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_36f8f4c7b6027c3f_.log 2024-04-03T16:17:00.7084582Z Running 5797 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint, test/test_utils.py::TestCheckpoint::test_checkpoint_module_list, test/test_utils.py::TestCheckpoint::test_checkpoint_no_tensors, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs, test/test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant, test/test_utils.py::TestCheckpoint::test_checkpoint_partial_grad, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cuda, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestBottleneck::test_bottleneck_cpu_only, test/test_utils.py::TestBottleneck::test_bottleneck_cuda, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestONNXUtils::test_check_onnx_broadcast, test/test_utils.py::TestONNXUtils::test_prepare_onnx_paddings, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestExtensionUtils::test_external_module_register, test/test_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_uint8, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_shapes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int8, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short 2024-04-03T16:17:00.9649873Z 2024-04-03T16:17:00.9650354Z Running test_tensorexpr 1/1 ... [2024-04-03 16:17:00.378705] 2024-04-03T16:17:00.9652115Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:17:00.379004] 2024-04-03T16:17:47.2072001Z 2024-04-03T16:17:47.2074037Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_7ad0552f747f7a22_.log 2024-04-03T16:17:47.2099955Z Running 74 items in this shard: test/test_tensorexpr.py::TestTensorExprFuser::test_add_const_rhs, test/test_tensorexpr.py::TestTensorExprFuser::test_add_sub, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_input_and_module, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_module, test/test_tensorexpr.py::TestTensorExprFuser::test_all_combos, test/test_tensorexpr.py::TestTensorExprFuser::test_alpha, test/test_tensorexpr.py::TestTensorExprFuser::test_binary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_bitwise_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast3, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_2, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_big2, test/test_tensorexpr.py::TestTensorExprFuser::test_cat, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_empty_tensors, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_negative_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_only, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_promote_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_with_constant_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_char, test/test_tensorexpr.py::TestTensorExprFuser::test_chunk, test/test_tensorexpr.py::TestTensorExprFuser::test_clamp, test/test_tensorexpr.py::TestTensorExprFuser::test_constant, test/test_tensorexpr.py::TestTensorExprFuser::test_double, test/test_tensorexpr.py::TestTensorExprFuser::test_double_intrinsics, test/test_tensorexpr.py::TestTensorExprFuser::test_dynamic_shape, test/test_tensorexpr.py::TestTensorExprFuser::test_easy, test/test_tensorexpr.py::TestTensorExprFuser::test_eq, test/test_tensorexpr.py::TestTensorExprFuser::test_exp_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_four_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_ge, test/test_tensorexpr.py::TestTensorExprFuser::test_gt, test/test_tensorexpr.py::TestTensorExprFuser::test_guard_fails, test/test_tensorexpr.py::TestTensorExprFuser::test_half_bn_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_half_gelu, test/test_tensorexpr.py::TestTensorExprFuser::test_int64_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_int_output, test/test_tensorexpr.py::TestTensorExprFuser::test_le, test/test_tensorexpr.py::TestTensorExprFuser::test_loop, test/test_tensorexpr.py::TestTensorExprFuser::test_lt, test/test_tensorexpr.py::TestTensorExprFuser::test_mask, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction2, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1_2, test/test_tensorexpr.py::TestTensorExprFuser::test_multi_rand, test/test_tensorexpr.py::TestTensorExprFuser::test_multioutput, test/test_tensorexpr.py::TestTensorExprFuser::test_multiple_outputs, test/test_tensorexpr.py::TestTensorExprFuser::test_nans, test/test_tensorexpr.py::TestTensorExprFuser::test_ne, test/test_tensorexpr.py::TestTensorExprFuser::test_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_propagated_mem_layout, test/test_tensorexpr.py::TestTensorExprFuser::test_rand_like, test/test_tensorexpr.py::TestTensorExprFuser::test_rank_two, test/test_tensorexpr.py::TestTensorExprFuser::test_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_remainder, test/test_tensorexpr.py::TestTensorExprFuser::test_reps, test/test_tensorexpr.py::TestTensorExprFuser::test_round_2, test/test_tensorexpr.py::TestTensorExprFuser::test_scalar, test/test_tensorexpr.py::TestTensorExprFuser::test_short, test/test_tensorexpr.py::TestTensorExprFuser::test_simple_add, test/test_tensorexpr.py::TestTensorExprFuser::test_sin_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_slice, test/test_tensorexpr.py::TestTensorExprFuser::test_sliced_stride, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cpu, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cuda, test/test_tensorexpr.py::TestTensorExprFuser::test_strided_output_preserved, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg2, test/test_tensorexpr.py::TestTensorExprFuser::test_transpose, test/test_tensorexpr.py::TestTensorExprFuser::test_unary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_unsqueeze, test/test_tensorexpr.py::TestTensorExprFuser::test_where 2024-04-03T16:17:47.2124433Z 2024-04-03T16:17:47.2124796Z Running test_sort_and_select 1/1 ... [2024-04-03 16:17:47.207355] 2024-04-03T16:17:47.2126582Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:17:47.207715] 2024-04-03T16:17:51.2275626Z 2024-04-03T16:17:51.2277514Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_6da03eaad4ece8fc_.log 2024-04-03T16:17:51.2325899Z Running 110 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_dtypes_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_scalar_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_slow_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_expanded_tensor_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_slice_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_restride_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_stable_none_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_4d_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_arguments_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_noncontiguous_gpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_quantized_scalar_input_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_dim_cpu 2024-04-03T16:17:51.2371729Z 2024-04-03T16:17:51.2372083Z Running test_native_mha 1/1 ... [2024-04-03 16:17:51.227786] 2024-04-03T16:17:51.2373800Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:17:51.228076] 2024-04-03T16:17:53.5458059Z 2024-04-03T16:17:53.5459968Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_ec9d3c91d68edf05_.log 2024-04-03T16:17:53.5489593Z Running 28 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_encoder_decoder_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_nested_cpu_float32 2024-04-03T16:17:53.5515039Z 2024-04-03T16:17:53.5515534Z Running test_jit_disabled 1/1 ... [2024-04-03 16:17:53.546113] 2024-04-03T16:17:53.5517281Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:17:53.546497] 2024-04-03T16:17:55.6636538Z 2024-04-03T16:17:55.6638369Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_445b609def8bd818_.log 2024-04-03T16:17:55.6641688Z Running 3 items in this shard: test/test_jit_disabled.py::TestJitDisabled::test_attribute, test/test_jit_disabled.py::TestJitDisabled::test_recursive_script, test/test_jit_disabled.py::TestJitDisabled::test_script_module_construction 2024-04-03T16:17:55.6643986Z 2024-04-03T16:17:55.6644896Z Running test_cpp_extensions_open_device_registration 1/1 ... [2024-04-03 16:17:55.663744] 2024-04-03T16:17:55.6648449Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cpp_extensions_open_device_registration.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:17:55.664102] 2024-04-03T16:17:59.4837604Z 2024-04-03T16:17:59.4839763Z test_cpp_extensions_open_device_registration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_open_device_registration_1.1_745cf6ee1c24ca16_.log 2024-04-03T16:17:59.4841892Z Running 1 items in this shard: test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_registration 2024-04-03T16:17:59.4842772Z 2024-04-03T16:17:59.4843123Z Running test_multiprocessing 1/1 ... [2024-04-03 16:17:59.483792] 2024-04-03T16:17:59.4844918Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:17:59.484077] 2024-04-03T16:18:43.0640273Z 2024-04-03T16:18:43.0641693Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_2ccd6d453d9fe303_.log 2024-04-03T16:18:43.0658590Z Running 37 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_autograd_errors, test/test_multiprocessing.py::TestMultiprocessing::test_autograd_fine_with_spawn, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_bad_call, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_ipc_deadlock, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_memory_allocation, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_send_many, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_small_tensors, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_shared, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_event, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_exporter, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_importer, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_multi_gpu, test/test_multiprocessing.py::TestMultiprocessing::test_event_multiprocess, test/test_multiprocessing.py::TestMultiprocessing::test_fd_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fd_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fd_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs, test/test_multiprocessing.py::TestMultiprocessing::test_fs_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_fs_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fs_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_inherit_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cpu, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_mixed_types_cuda_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_non_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_wrong_cuda_fork 2024-04-03T16:18:43.0673637Z 2024-04-03T16:18:43.0674032Z Running test_cpp_extensions_jit 1/1 ... [2024-04-03 16:18:43.064323] 2024-04-03T16:18:43.0675838Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:18:43.064627] 2024-04-03T16:19:14.7255326Z 2024-04-03T16:19:14.7257071Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_64995129c8a2acb3_.log 2024-04-03T16:19:14.7272606Z Running 26 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_compile_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_archflags, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cudnn_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_mps_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_reload_jit_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_returns_shared_library_path_when_is_python_module_is_true, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_set_default_type_also_changes_aten_default_type, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_warning 2024-04-03T16:19:14.7285261Z 2024-04-03T16:19:14.7285609Z Running test_fake_tensor 1/1 ... [2024-04-03 16:19:14.725749] 2024-04-03T16:19:14.7287339Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:19:14.726110] 2024-04-03T16:19:18.8966424Z 2024-04-03T16:19:18.8967746Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_19a350892acb44a3_.log 2024-04-03T16:19:18.9014540Z Running 120 items in this shard: test/test_fake_tensor.py::FakeTensorTest::test__adaptive_avg_pool2d_backward, test/test_fake_tensor.py::FakeTensorTest::test_allow_meta, test/test_fake_tensor.py::FakeTensorTest::test_aten_copy_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_index_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_slice_scatter_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_basic, test/test_fake_tensor.py::FakeTensorTest::test_batch_tensor, test/test_fake_tensor.py::FakeTensorTest::test_binary_op_type_promotion, test/test_fake_tensor.py::FakeTensorTest::test_constructor, test/test_fake_tensor.py::FakeTensorTest::test_cpu_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cuda_initialized, test/test_fake_tensor.py::FakeTensorTest::test_cuda_lstm, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_with_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_without_fallback, test/test_fake_tensor.py::FakeTensorTest::test_custom_op_fallback, test/test_fake_tensor.py::FakeTensorTest::test_data_dependent_operator, test/test_fake_tensor.py::FakeTensorTest::test_deepcopy, test/test_fake_tensor.py::FakeTensorTest::test_device_inplace_copy, test/test_fake_tensor.py::FakeTensorTest::test_embedding_bag_meta, test/test_fake_tensor.py::FakeTensorTest::test_export_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fake_dispatch_keys, test/test_fake_tensor.py::FakeTensorTest::test_fake_grad_copy, test/test_fake_tensor.py::FakeTensorTest::test_fake_mode_error, test/test_fake_tensor.py::FakeTensorTest::test_from_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fsdp_flat_param, test/test_fake_tensor.py::FakeTensorTest::test_full, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu, test/test_fake_tensor.py::FakeTensorTest::test_index_put_error, test/test_fake_tensor.py::FakeTensorTest::test_jagged_fake_to_fake_preserved, test/test_fake_tensor.py::FakeTensorTest::test_like_constructor, test/test_fake_tensor.py::FakeTensorTest::test_mixed_real_and_fake_inputs, test/test_fake_tensor.py::FakeTensorTest::test_mode, test/test_fake_tensor.py::FakeTensorTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_non_kwarg_device, test/test_fake_tensor.py::FakeTensorTest::test_non_overlapping_stride_zero, test/test_fake_tensor.py::FakeTensorTest::test_non_parameter_grad, test/test_fake_tensor.py::FakeTensorTest::test_normalize_device, test/test_fake_tensor.py::FakeTensorTest::test_out_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_parameter_instantiation, test/test_fake_tensor.py::FakeTensorTest::test_print_in_fake_mode, test/test_fake_tensor.py::FakeTensorTest::test_randperm, test/test_fake_tensor.py::FakeTensorTest::test_recursive_invocation, test/test_fake_tensor.py::FakeTensorTest::test_repr, test/test_fake_tensor.py::FakeTensorTest::test_same_shape_env_preserved, test/test_fake_tensor.py::FakeTensorTest::test_scalar_inputs, test/test_fake_tensor.py::FakeTensorTest::test_setitem, test/test_fake_tensor.py::FakeTensorTest::test_shape_take_not_device, test/test_fake_tensor.py::FakeTensorTest::test_throw, test/test_fake_tensor.py::FakeTensorTest::test_tolist, test/test_fake_tensor.py::FakeTensorTest::test_type_as, test/test_fake_tensor.py::FakeTensorTest::test_upsample_bilinear_small_channels, test/test_fake_tensor.py::FakeTensorTest::test_zero_dim, test/test_fake_tensor.py::FakeTensorConstHandling::test_aliased_const_write, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_propagate_through_functions, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_batch_norm_cpu, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_add, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_view_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storage_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storages, test/test_fake_tensor.py::FakeTensorConstHandling::test_simple, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_key, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_weak_ref, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_from_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_to_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_multiple_modes, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_active_mode, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_ref_cycle, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_mode_error, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_non_view, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_view, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_conv_c1_backward, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_cross_entropy_loss, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_embedding_bag_private, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_fake_cuda_no_init, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_flash_attention, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_like_ops, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_no_dispatch_with_like_function, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_non_kwarg_only_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_sparse_new, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_str_storage, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_new, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args, test/test_fake_tensor.py::FakeTensorPropTest::test_torch_load_with_fake_mode, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization_with_tracing, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_bypass, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_dispatch_key_set, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_hit, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_inplace_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_constants, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_conj, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_inference, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_neg, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_memory_format, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_requires_grad, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_shape, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_storage_offset, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_stride, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyViewCopyCustomOp_cpu_float32 2024-04-03T16:19:18.9060260Z 2024-04-03T16:19:18.9060678Z Running test_python_dispatch 1/1 ... [2024-04-03 16:19:18.896882] 2024-04-03T16:19:18.9062555Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:19:18.897179] 2024-04-03T16:19:22.6177623Z 2024-04-03T16:19:22.6179473Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_a6cf77a323df103c_.log 2024-04-03T16:19:22.6231281Z Running 109 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_error_cases, test/test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_multiple_returns, test/test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_no_returns, test/test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_one_return, test/test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_with_optional, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes, test/test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type, test/test_python_dispatch.py::TestPythonDispatch::test_detach_appears_twice_when_called_once, test/test_python_dispatch.py::TestPythonDispatch::test_device_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode, test/test_python_dispatch.py::TestPythonDispatch::test_exception_handling, test/test_python_dispatch.py::TestPythonDispatch::test_fancy_strides, test/test_python_dispatch.py::TestPythonDispatch::test_format, test/test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode, test/test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack, test/test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_invalid_ret, test/test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default, test/test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_like, test/test_python_dispatch.py::TestPythonDispatch::test_list_ret, test/test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata, test/test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug, test/test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode, test/test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_new_ones, test/test_python_dispatch.py::TestPythonDispatch::test_none_wrapping, test/test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode, test/test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list, test/test_python_dispatch.py::TestPythonDispatch::test_out, test/test_python_dispatch.py::TestPythonDispatch::test_produce_real_type, test/test_python_dispatch.py::TestPythonDispatch::test_record_stream, test/test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride, test/test_python_dispatch.py::TestPythonDispatch::test_return_stream, test/test_python_dispatch.py::TestPythonDispatch::test_set_data, test/test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach, test/test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_storage, test/test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object, test/test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_autograd_device_check, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_creation, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors, test/test_python_dispatch.py::TestPythonDispatch::test_version, test/test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately, test/test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes, test/test_python_dispatch.py::TestPythonDispatcher::test_basic, test/test_python_dispatch.py::TestPythonDispatcher::test_lstsq, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32 2024-04-03T16:19:22.6280515Z 2024-04-03T16:19:22.6280879Z Running test_autograd 1/1 ... [2024-04-03 16:19:22.617987] 2024-04-03T16:19:22.6282589Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_autograd.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:19:22.618309] 2024-04-03T16:19:47.5702661Z 2024-04-03T16:19:47.5704440Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_2967e62224fdf676_.log 2024-04-03T16:19:47.5962962Z Running 612 items in this shard: test/test_autograd.py::TestAutograd::test_access_saved_tensor_twice_without_recomputation_works, test/test_autograd.py::TestAutograd::test_accumulate_grad, test/test_autograd.py::TestAutograd::test_accumulate_grad_posthooks_can_observe_tensor_prehook, test/test_autograd.py::TestAutograd::test_accumulate_grad_tensor_reference, test/test_autograd.py::TestAutograd::test_accumulate_grad_with_zero_numel_grad, test/test_autograd.py::TestAutograd::test_anomaly_assign_parent_cleanup, test/test_autograd.py::TestAutograd::test_anomaly_detect_nan, test/test_autograd.py::TestAutograd::test_anomaly_grad_warnings, test/test_autograd.py::TestAutograd::test_anomaly_mode_no_check_nan, test/test_autograd.py::TestAutograd::test_attribute_deletion, test/test_autograd.py::TestAutograd::test_autograd_inplace_view_of_view, test/test_autograd.py::TestAutograd::test_autograd_inplace_views_creation_meta, test/test_autograd.py::TestAutograd::test_autograd_inplace_views_cross_dtype, test/test_autograd.py::TestAutograd::test_autograd_multiple_views_python, test/test_autograd.py::TestAutograd::test_autograd_node_isinstance, test/test_autograd.py::TestAutograd::test_autograd_print_tensor, test/test_autograd.py::TestAutograd::test_autograd_python_custom_function_inplace, test/test_autograd.py::TestAutograd::test_autograd_simple_views_python, test/test_autograd.py::TestAutograd::test_autograd_views_codegen, test/test_autograd.py::TestAutograd::test_backward, test/test_autograd.py::TestAutograd::test_backward_badcalls, test/test_autograd.py::TestAutograd::test_backward_copy, test/test_autograd.py::TestAutograd::test_backward_create_graph_warns, test/test_autograd.py::TestAutograd::test_backward_no_grad, test/test_autograd.py::TestAutograd::test_backward_to_node, test/test_autograd.py::TestAutograd::test_backward_twice_retained_graph_with_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_retained_graph_without_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_with_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_without_saved_values, test/test_autograd.py::TestAutograd::test_backward_with_inputs, test/test_autograd.py::TestAutograd::test_backward_with_nonleaf_inputs, test/test_autograd.py::TestAutograd::test_calculate_shape_util, test/test_autograd.py::TestAutograd::test_callback_adds_callback, test/test_autograd.py::TestAutograd::test_callback_propagates_errors_from_device_thread, test/test_autograd.py::TestAutograd::test_cant_create_saved_tensors, test/test_autograd.py::TestAutograd::test_checkpoint_detects_non_determinism, test/test_autograd.py::TestAutograd::test_checkpoint_sequential_warns_if_use_reentrant_not_passed_explcitly, test/test_autograd.py::TestAutograd::test_checkpoint_valid_reset_on_error, test/test_autograd.py::TestAutograd::test_checkpoint_warns_if_use_reentrant_not_passed_explcitly, test/test_autograd.py::TestAutograd::test_checkpointing, test/test_autograd.py::TestAutograd::test_checkpointing_non_reentrant_autocast_cpu, test/test_autograd.py::TestAutograd::test_checkpointing_non_reentrant_autocast_gpu, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_arbitrary_input_output, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_correct_grad, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_custom_function_works, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_dataparallel, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_True, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_input_requires_grad_False, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_input_requires_grad_True, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_memory_savings, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_parameter_used_in_an_out, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_with_context_fn, test/test_autograd.py::TestAutograd::test_copy_slices_graph_task_updates, test/test_autograd.py::TestAutograd::test_create_graph_and_full_backward_hook_cycle, test/test_autograd.py::TestAutograd::test_current_graph_task_execution_order, test/test_autograd.py::TestAutograd::test_current_graph_task_id, test/test_autograd.py::TestAutograd::test_current_node, test/test_autograd.py::TestAutograd::test_custom_autograd_no_early_free, test/test_autograd.py::TestAutograd::test_custom_autograd_repeated_grad_grad, test/test_autograd.py::TestAutograd::test_custom_function_cycle, test/test_autograd.py::TestAutograd::test_custom_function_error, test/test_autograd.py::TestAutograd::test_custom_function_exception, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_forward_is_no_op, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_inplace_checks, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_non_differentiable, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_non_tensor_before_tensor_args, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_view_checks, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_wrong_formula, test/test_autograd.py::TestAutograd::test_custom_function_local_inplace, test/test_autograd.py::TestAutograd::test_custom_function_mark_dirty_not_differentiable, test/test_autograd.py::TestAutograd::test_custom_function_no_tensors, test/test_autograd.py::TestAutograd::test_custom_function_non_tensor_inputs_outputs, test/test_autograd.py::TestAutograd::test_custom_function_preserve_torch_function_when_return_as_is, test/test_autograd.py::TestAutograd::test_custom_function_return_view_in_nograd, test/test_autograd.py::TestAutograd::test_custom_function_save_for_forward, test/test_autograd.py::TestAutograd::test_custom_function_saved_tensors, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_multi_input, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_multi_output, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_simple, test/test_autograd.py::TestAutograd::test_custom_function_vmap_defaults, test/test_autograd.py::TestAutograd::test_deep_reentrant, test/test_autograd.py::TestAutograd::test_default_saved_variable_hooks_double_backward, test/test_autograd.py::TestAutograd::test_dep_nograd, test/test_autograd.py::TestAutograd::test_dependent_backward, test/test_autograd.py::TestAutograd::test_detach, test/test_autograd.py::TestAutograd::test_detach_base, test/test_autograd.py::TestAutograd::test_detach_then_inplace_raises_in_autograd, test/test_autograd.py::TestAutograd::test_diagonal_expanded_v, test/test_autograd.py::TestAutograd::test_dir, test/test_autograd.py::TestAutograd::test_disabling_saved_tensor_hooks, test/test_autograd.py::TestAutograd::test_disabling_saved_tensor_hooks_nested, test/test_autograd.py::TestAutograd::test_dont_materialize_grads, test/test_autograd.py::TestAutograd::test_duplicate_backward_root, test/test_autograd.py::TestAutograd::test_enable_grad_decorator_no_paren, test/test_autograd.py::TestAutograd::test_first_grad_fn_access_in_no_grad_mode, test/test_autograd.py::TestAutograd::test_free_deep_graph, test/test_autograd.py::TestAutograd::test_free_deep_graph_complicated, test/test_autograd.py::TestAutograd::test_free_deep_graph_pyfunction, test/test_autograd.py::TestAutograd::test_full_backward_hook_double_backward, test/test_autograd.py::TestAutograd::test_function, test/test_autograd.py::TestAutograd::test_function_returns_input, test/test_autograd.py::TestAutograd::test_function_returns_undefined_tensor, test/test_autograd.py::TestAutograd::test_gc_in_destructor, test/test_autograd.py::TestAutograd::test_grad, test/test_autograd.py::TestAutograd::test_grad_badcalls, test/test_autograd.py::TestAutograd::test_grad_batched_grad, test/test_autograd.py::TestAutograd::test_grad_empty_inputs, test/test_autograd.py::TestAutograd::test_grad_fn_attr_bindings, test/test_autograd.py::TestAutograd::test_grad_fn_badcalls, test/test_autograd.py::TestAutograd::test_grad_fn_prehooks, test/test_autograd.py::TestAutograd::test_grad_fn_prehooks_multiple_outputs, test/test_autograd.py::TestAutograd::test_grad_fn_prehooks_remove_hooks, test/test_autograd.py::TestAutograd::test_grad_materialize_grads, test/test_autograd.py::TestAutograd::test_grad_mode_class_decoration, test/test_autograd.py::TestAutograd::test_grad_mode_restored_reentrant, test/test_autograd.py::TestAutograd::test_grad_nonleaf, test/test_autograd.py::TestAutograd::test_grad_nonleaf_many_outputs, test/test_autograd.py::TestAutograd::test_grad_nonleaf_register_hook, test/test_autograd.py::TestAutograd::test_grad_to_node, test/test_autograd.py::TestAutograd::test_grad_to_node_inplace, test/test_autograd.py::TestAutograd::test_grad_to_node_materialize, test/test_autograd.py::TestAutograd::test_grad_to_node_multi, test/test_autograd.py::TestAutograd::test_grad_to_node_set, test/test_autograd.py::TestAutograd::test_grad_unreachable, test/test_autograd.py::TestAutograd::test_grad_unreachable_discovery, test/test_autograd.py::TestAutograd::test_gradcheck_backward_mul_by_grad_output, test/test_autograd.py::TestAutograd::test_gradcheck_check_batched_grad, test/test_autograd.py::TestAutograd::test_gradcheck_check_forward_or_backward_only, test/test_autograd.py::TestAutograd::test_gradcheck_check_no_differentiable_outputs, test/test_autograd.py::TestAutograd::test_gradcheck_complex_non_complex_outputs, test/test_autograd.py::TestAutograd::test_gradcheck_custom_error, test/test_autograd.py::TestAutograd::test_gradcheck_default_device_placement_context, test/test_autograd.py::TestAutograd::test_gradcheck_dense_and_sparse_inputs, test/test_autograd.py::TestAutograd::test_gradcheck_forward_ad, test/test_autograd.py::TestAutograd::test_gradcheck_forward_ad_batched_grad, test/test_autograd.py::TestAutograd::test_gradcheck_forward_ad_respects_requires_grad, test/test_autograd.py::TestAutograd::test_gradcheck_forward_ad_runs_with_no_requires_grad, test/test_autograd.py::TestAutograd::test_gradcheck_get_analytical_jacobian, 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test/test_autograd.py::TestAutograd::test_tensor_hooks_inplace_multiple_outputs, test/test_autograd.py::TestAutograd::test_tensor_hooks_inplace_over_view, test/test_autograd.py::TestAutograd::test_thread_shutdown, test/test_autograd.py::TestAutograd::test_to_sparse_backward, test/test_autograd.py::TestAutograd::test_too_many_grads, test/test_autograd.py::TestAutograd::test_type_conversions, test/test_autograd.py::TestAutograd::test_unrelated_inputs, test/test_autograd.py::TestAutograd::test_unsafe_set_version_counter, test/test_autograd.py::TestAutograd::test_unused_output, test/test_autograd.py::TestAutograd::test_var_mean_differentiable, test/test_autograd.py::TestAutograd::test_variable_traverse, test/test_autograd.py::TestAutograd::test_version_counter, test/test_autograd.py::TestAutograd::test_view_func_replay, test/test_autograd.py::TestAutograd::test_view_func_replay_with_modified_state, test/test_autograd.py::TestAutograd::test_view_replay_enabled, test/test_autograd.py::TestAutograd::test_volatile_deprecated, test/test_autograd.py::TestAutograd::test_will_engine_execute_node, test/test_autograd.py::TestAutograd::test_wrapped_number_saved_variable_hooks, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_inplace_on_view_not_same_layout, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_inplace_on_view_same_layout, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_metadata_check_for_storage_numel_skipped, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_out_of_place_basic, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_out_of_place_not_same_layout, test/test_autograd.py::TestAutogradForwardMode::test_advanced_packing_unpacking, test/test_autograd.py::TestAutogradForwardMode::test_backward_graph_destruction, test/test_autograd.py::TestAutogradForwardMode::test_basic_packing_unpacking, test/test_autograd.py::TestAutogradForwardMode::test_codegen_ignores_undefined_outputs, test/test_autograd.py::TestAutogradForwardMode::test_create_new_zeros_with_same_meta, test/test_autograd.py::TestAutogradForwardMode::test_default_level, test/test_autograd.py::TestAutogradForwardMode::test_detach_view_tracking, test/test_autograd.py::TestAutogradForwardMode::test_forward_level_cleanup, test/test_autograd.py::TestAutogradForwardMode::test_fwd_grad_enabled, test/test_autograd.py::TestAutogradForwardMode::test_grad_cleanup, test/test_autograd.py::TestAutogradForwardMode::test_make_dual_forbid_integral_dtype, test/test_autograd.py::TestAutogradForwardMode::test_make_dual_inference_tensor_in_inference_mode, test/test_autograd.py::TestAutogradForwardMode::test_make_dual_torch_dispatch, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_check_conj, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_checks_ignores_size_zero, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_checks_storage_numel, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_ignore_storage_offset_for_zero_numel_tensor, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_when_primal_has_conj_bit, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_when_primal_has_neg_bit, test/test_autograd.py::TestAutogradForwardMode::test_nested_level, test/test_autograd.py::TestAutogradForwardMode::test_non_differentiable, test/test_autograd.py::TestAutogradForwardMode::test_out_variant, test/test_autograd.py::TestAutogradForwardMode::test_print, test/test_autograd.py::TestAutogradForwardMode::test_set_fw_grad_having_own_fw_grad_at_same_level, test/test_autograd.py::TestAutogradForwardMode::test_set_fwd_grad_enabled, test/test_autograd.py::TestAutogradForwardMode::test_size_check, test/test_autograd.py::TestAutogradForwardMode::test_view_inplace_always_creates_a_view, test/test_autograd.py::TestAutogradForwardMode::test_view_inplace_differentiable_views, test/test_autograd.py::TestAutogradForwardMode::test_view_inplace_non_differentiable_views, test/test_autograd.py::TestAllowMutationOnSaved::test_backward_out_of_context, test/test_autograd.py::TestAllowMutationOnSaved::test_basic, test/test_autograd.py::TestAllowMutationOnSaved::test_disallow_nesting, test/test_autograd.py::TestAllowMutationOnSaved::test_double_backward, test/test_autograd.py::TestAllowMutationOnSaved::test_save_base_and_modify_view, test/test_autograd.py::TestAllowMutationOnSaved::test_save_view_modify_base, test/test_autograd.py::TestAllowMutationOnSaved::test_saved_but_not_anymore, test/test_autograd.py::TestAllowMutationOnSaved::test_saved_same_tensor_different_versions, test/test_autograd.py::TestAllowMutationOnSaved::test_saved_same_tensor_many_times, test/test_autograd.py::TestAllowMutationOnSaved::test_views, test/test_autograd.py::TestAllowMutationOnSaved::test_with_math_views, test/test_autograd.py::TestAllowMutationOnSaved::test_with_out_variant, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_context_manager, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_decorator, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_existing_autograd_session, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_handle_direct_view_on_rebase, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_handle_indirect_view_on_rebase, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_inf_mode_functional_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_inf_mode_inplace_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_inf_mode_view_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_normal_mode_functional_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_normal_mode_inplace_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_normal_mode_view_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_tensor_creation, test/test_autograd.py::TestAutogradInferenceMode::test_mix_inference_and_normal_tensor_functional_op, test/test_autograd.py::TestAutogradInferenceMode::test_mix_inference_and_normal_tensor_inplace_op, test/test_autograd.py::TestAutogradInferenceMode::test_mix_inference_and_normal_tensor_view_op, test/test_autograd.py::TestAutogradInferenceMode::test_normal_tensor_inplace_output_in_inference_mode, test/test_autograd.py::TestAutogradInferenceMode::test_normal_tensor_inplace_output_in_normal_mode, test/test_autograd.py::TestAutogradInferenceMode::test_normal_tensor_view_output_in_inference_mode, test/test_autograd.py::TestAutogradInferenceMode::test_normal_tensor_view_output_in_normal_mode, test/test_autograd.py::TestMultithreadAutograd::test_cat_stack_r_to_c, test/test_autograd.py::TestMultithreadAutograd::test_custom_function_propagates_errors_from_device_thread, test/test_autograd.py::TestMultithreadAutograd::test_dataparallel_saved_tensors_hooks, test/test_autograd.py::TestMultithreadAutograd::test_fork_join_in_middle, test/test_autograd.py::TestMultithreadAutograd::test_multi_grad_all_hooks, test/test_autograd.py::TestMultithreadAutograd::test_multi_grad_any_hooks, test/test_autograd.py::TestMultithreadAutograd::test_multithreaded_exception_propagation, test/test_autograd.py::TestMultithreadAutograd::test_preserve_backtrace, test/test_autograd.py::TestMultithreadAutograd::test_python_thread_in_middle, test/test_autograd.py::TestMultithreadAutograd::test_set_multithreading_enabled_as_context_manager_and_function, test/test_autograd.py::TestMultithreadAutograd::test_simple_backward, test/test_autograd.py::TestMultithreadAutograd::test_simple_backward_same_input, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_early_stop_False, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_early_stop_True, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_kwargs_early_stop_False, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_kwargs_early_stop_True, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_non_tensor_inputs_and_outputs_early_stop_False, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_non_tensor_inputs_and_outputs_early_stop_True, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_reentrant_backwards_early_stop_False, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_reentrant_backwards_early_stop_True, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_same_graph_early_stop_False, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_same_graph_early_stop_True, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_set_early_stop, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_set_early_stop_no_recompution_needed, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_two_children_early_stop_False, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_two_children_early_stop_True, test/test_autograd.py::TestAutogradComplex::test_view_func_for_complex_views, test/test_autograd.py::TestAutogradComplex::test_view_with_multi_output, test/test_autograd.py::TestAutogradFunctional::test_construct_standard_basis_for_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_construct_standard_basis_for_cuda_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_construct_standard_basis_for_cuda_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_construct_standard_basis_for_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_create_graph_vectorize_False_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_create_graph_vectorize_False_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_create_graph_vectorize_True_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_create_graph_vectorize_True_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_strict_vectorize_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_strict_vectorize_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_vectorize_False_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_vectorize_False_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_vectorize_True_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_vectorize_True_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_match_vhp_hvp_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_match_vhp_hvp_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_output_vectorized_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_output_vectorized_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_scalar_vectorize_False_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_scalar_vectorize_False_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_scalar_vectorize_True_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_scalar_vectorize_True_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_correctness_multi_input_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_correctness_multi_input_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_correctness_simple_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_correctness_simple_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_correctness_unrelated_outputs_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_correctness_unrelated_outputs_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_raises_no_warnings_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_raises_no_warnings_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_create_graph_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_create_graph_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_err_check_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_err_check_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_scalar_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_create_graph_vectorize_False_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_create_graph_vectorize_False_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_create_graph_vectorize_True_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_create_graph_vectorize_True_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_strict_vectorize_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_strict_vectorize_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_vectorize_False_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_vectorize_False_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_vectorize_True_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_vectorize_True_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_match_vjp_jvp_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_match_vjp_jvp_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_output_vectorized_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_output_vectorized_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_scalar_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_scalar_vectorized_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_scalar_vectorized_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_different_devices_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_different_devices_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_different_dtype_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_different_dtype_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_multi_input_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_multi_input_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_multi_input_multi_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_multi_input_multi_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_simple_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_simple_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_unrelated_outputs_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_unrelated_outputs_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_zero_dim_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_zero_dim_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_raises_no_warnings_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_raises_no_warnings_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_create_graph_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_create_graph_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_err_check_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_err_check_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_scalar_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_create_graph_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_create_graph_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_err_check_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_err_check_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_scalar_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_create_graph_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_create_graph_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_err_check_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_err_check_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_scalar_logging_tensor, test/test_autograd.py::TestAutogradLogging::test_logging, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_advanced_indexing_backwards_large_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_advanced_indexing_backwards_memory_format_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_backward_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_complex_scalar_backward_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_copy__cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_copy_forward_ad_broadcasting_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_copy_forward_ad_same_layout_copies_grad_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_copy_r_to_c_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_cross_device_reentrant_autograd_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_free_unneeded_tensor_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_grad_assignment_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_gradcheck_input_output_different_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_multiple_output_view_of_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_backprop_base_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_backprop_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_backprop_view_of_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_gradcheck_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_makes_base_require_grad_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_modify_base_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_multi_output_safe_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_multi_output_unsafe_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_multiple_outputs_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_non_contig_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_of_multiple_output_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_of_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_python_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_then_no_grad_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_undefined_grad_output_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inputbuffer_add_multidevice_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_min_max_median_backprops_to_all_values_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_mv_grad_stride_0_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_non_differentiable_ops_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_parameter_resize_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_pin_memory_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_pow_real_negative_base_complex_exponent_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_profiler_emit_itt_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_profiler_emit_nvtx_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_pyscalar_conversions_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_reentrant_parent_error_on_cpu_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_requires_grad_factory_cpu_float32, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_requires_grad_factory_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_resize_version_bump_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_rnn_backward_to_input_but_not_parameters_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_scatter_index_reduce_amin_amax_backprops_to_all_values_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_scatter_index_reduce_prod_gradgrad_error_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_float32, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int16, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int32, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int8, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_simple_reentrant_cross_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_backward_cpu_complex128, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_backward_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_ctor_getter_backward_cpu_complex128, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_ctor_getter_backward_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_mask_autograd_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_strided_leaf_grad_layout_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_to_r_to_c_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_unused_output_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_warning_in_backward_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_where_functional_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_where_scalar_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_autograd_composite_implicit_and_dispatch_registration_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_autograd_multiple_dispatch_registrations_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_backward_single_threaded_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_backward_tls_stash_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_foward_mode_AD_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_per_dispatch_key_input_saving_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_set_sequence_nr_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_view_copy_cpu 2024-04-03T16:19:47.6211847Z 2024-04-03T16:19:47.6212240Z Running test_cuda 1/1 ... [2024-04-03 16:19:47.571454] 2024-04-03T16:19:47.6213972Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cuda.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:19:47.571733] 2024-04-03T16:19:49.7987978Z 2024-04-03T16:19:49.7989189Z test_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_1.1_f0851726e78b28d2_.log 2024-04-03T16:19:49.7990124Z Running 0 items in this shard: 2024-04-03T16:19:49.7990375Z 2024-04-03T16:19:49.7991523Z Running test_indexing 1/1 ... [2024-04-03 16:19:49.798968] 2024-04-03T16:19:49.7996181Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_indexing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:19:49.799292] 2024-04-03T16:19:54.1217059Z 2024-04-03T16:19:54.1218540Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_e6b86007db9e2ff3_.log 2024-04-03T16:19:54.1251866Z Running 87 items in this shard: test/test_indexing.py::TestIndexingCPU::test_advancedindex_big_cpu, test/test_indexing.py::TestIndexingCPU::test_advancedindex_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_advancedindex_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_basic_advanced_combined_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_indices_accumulate_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask2d_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask_accumulate_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_tensor_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_cpu_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_cuda_broadcast_index_use_deterministic_algorithms_cpu, test/test_indexing.py::TestIndexingCPU::test_ellipsis_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_index_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_ndim_index_bool_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_ndim_index_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_slice_cpu, test/test_indexing.py::TestIndexingCPU::test_gather_take_along_dim_cross_device_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_getitem_scalars_cpu, test/test_indexing.py::TestIndexingCPU::test_index_cpu, test/test_indexing.py::TestIndexingCPU::test_index_getitem_copy_bools_slices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_ind_dtype_cpu, test/test_indexing.py::TestIndexingCPU::test_index_limits_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_duplicate_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_empty_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_expanded_values_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_large_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_non_contiguous_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_with_optional_tensors_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_scalar_with_bool_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_index_setitem_bools_slices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_int_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices2d_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices_broadcast_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_invalid_device_cpu, test/test_indexing.py::TestIndexingCPU::test_invalid_index_cpu, test/test_indexing.py::TestIndexingCPU::test_jit_indexing_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_bool_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_byte_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_int_cpu, test/test_indexing.py::TestIndexingCPU::test_none_cpu, test/test_indexing.py::TestIndexingCPU::test_out_of_bound_index_cpu, test/test_indexing.py::TestIndexingCPU::test_set_item_to_scalar_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_setitem_expansion_error_cpu, test/test_indexing.py::TestIndexingCPU::test_setitem_scalars_cpu, test/test_indexing.py::TestIndexingCPU::test_single_int_cpu, test/test_indexing.py::TestIndexingCPU::test_step_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_step_cpu, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_invalid_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_invalid_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_unravel_index_errors_cpu, test/test_indexing.py::TestIndexingCPU::test_variable_slicing_cpu, test/test_indexing.py::TestIndexingCPU::test_zero_dim_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_assignment_value_mismatch_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_alldims_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_onedim_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_twodim_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_weirdness_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_weirdness_tensors_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_list_indexing_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_shape_mismatch_cpu, test/test_indexing.py::NumpyTestsCPU::test_broadcast_subspace_cpu, test/test_indexing.py::NumpyTestsCPU::test_broaderrors_indexing_cpu, test/test_indexing.py::NumpyTestsCPU::test_ellipsis_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_empty_fancy_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_empty_tuple_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_everything_returns_views_cpu, test/test_indexing.py::NumpyTestsCPU::test_index_is_larger_cpu, test/test_indexing.py::NumpyTestsCPU::test_index_no_floats_cpu, test/test_indexing.py::NumpyTestsCPU::test_none_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_single_bool_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_single_int_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_trivial_fancy_out_of_bounds_cpu, test/test_indexing.py::NumpyTestsCPU::test_truncate_leading_1s_cpu 2024-04-03T16:19:54.1283741Z 2024-04-03T16:19:54.1284090Z Running test_torch 1/1 ... [2024-04-03 16:19:54.121961] 2024-04-03T16:19:54.1285809Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:19:54.122306] 2024-04-03T16:20:15.8706762Z 2024-04-03T16:20:15.8708475Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_08860953fba96eb1_.log 2024-04-03T16:20:15.9096066Z Running 1010 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals, test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNGState, test/test_torch.py::TestTorch::test_RNGStateAliasing, test/test_torch.py::TestTorch::test_RNG_after_pickle, test/test_torch.py::TestTorch::test_Size, test/test_torch.py::TestTorch::test_Size_iter, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_apply, test/test_torch.py::TestTorch::test_as_subclass, test/test_torch.py::TestTorch::test_assert_async, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, test/test_torch.py::TestTorch::test_c10_layer_norm, test/test_torch.py::TestTorch::test_cat_neg_dim, test/test_torch.py::TestTorch::test_check, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_conj_neg_tolist, test/test_torch.py::TestTorch::test_contains, test/test_torch.py::TestTorch::test_copy_broadcast, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_copy_many_to_one, test/test_torch.py::TestTorch::test_copy_transpose, test/test_torch.py::TestTorch::test_cuda_not_built, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cummin_neg_dim, test/test_torch.py::TestTorch::test_cumprod_neg_dim, test/test_torch.py::TestTorch::test_cumsum_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_data_ptr_of_empty_tensor_with_storage, test/test_torch.py::TestTorch::test_data_ptr_of_empty_view_with_storage, test/test_torch.py::TestTorch::test_deepcopy_gradient, test/test_torch.py::TestTorch::test_deepcopy_parameter, test/test_torch.py::TestTorch::test_deterministic_fill_uninitialized_memory, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_get_cpu_capability, test/test_torch.py::TestTorch::test_has_internal_overlap, test/test_torch.py::TestTorch::test_has_storage, test/test_torch.py::TestTorch::test_index_add, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, test/test_torch.py::TestTorch::test_storage_dead_weak_ref, test/test_torch.py::TestTorch::test_storage_dealloc, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_dict_dealloc, test/test_torch.py::TestTorch::test_storage_error, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_zombie, test/test_torch.py::TestTorch::test_storage_preserve_nonhermetic_in_hermetic_context, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_slot_dealloc, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_subclass_tensors, test/test_torch.py::TestTorch::test_sum_neg_dim, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_t_not_2d_error, test/test_torch.py::TestTorch::test_tensor_base_init, test/test_torch.py::TestTorch::test_tensor_base_new, test/test_torch.py::TestTorch::test_tensor_ctor_scalar, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_cycle_via_slots, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_dict_dealloc, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, test/test_torch.py::TestTorch::test_tensor_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_tensor_resurrected_weak_ref, test/test_torch.py::TestTorch::test_tensor_set, test/test_torch.py::TestTorch::test_tensor_set_errors, test/test_torch.py::TestTorch::test_tensor_slot_dealloc, test/test_torch.py::TestTorch::test_tensor_weakref_dealloc, test/test_torch.py::TestTorch::test_tensor_where_scalar, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_terminate_handler_on_crash, test/test_torch.py::TestTorch::test_to, test/test_torch.py::TestTorch::test_to_with_tensor, test/test_torch.py::TestTorch::test_topk_neg_dim, test/test_torch.py::TestTorch::test_torch_from_file, test/test_torch.py::TestTorch::test_transpose_neg_dim, test/test_torch.py::TestTorch::test_type, test/test_torch.py::TestTorch::test_type_alias, test/test_torch.py::TestTorch::test_type_conversion_via_dtype_name, test/test_torch.py::TestTorch::test_typed_storage_deprecation_warning, test/test_torch.py::TestTorch::test_typed_storage_internal_no_warning, test/test_torch.py::TestTorch::test_unbind_neg_dim, test/test_torch.py::TestTorch::test_unflatten, test/test_torch.py::TestTorch::test_unfold_neg_dim, test/test_torch.py::TestTorch::test_unsqueeze_neg_dim, test/test_torch.py::TestTorch::test_upsample_nearest1d_meta, test/test_torch.py::TestTorch::test_upsample_nearest2d_meta, test/test_torch.py::TestTorch::test_var_neg_dim, test/test_torch.py::TestTorch::test_warn_types, test/test_torch.py::TestTorch::test_wildcard_import, test/test_torch.py::TestVitalSignsCudaCPU::test_cuda_vitals_gpu_only_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_assertRaisesRegex_ignore_msg_non_native_device_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bfloat16_neg_abs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bool_tensor_value_change_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_add_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcdiv_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcmul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_atan2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_div_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_eq_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_fmod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ge_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_gt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_le_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lerp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_fill_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_scatter_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_select_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_min_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_mul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ne_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_pow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_remainder_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_sub_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_cuda_backward_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_euclidean_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_grad_p_lt_1_no_nan_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_same_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_all_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_internal_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_not_memory_dense_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_zero_stride_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_complex_half_experimental_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_constants_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_backward_agnostic_to_memory_format_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_math_view_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cov_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cublas_config_nondeterministic_alert_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_cummin_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummin_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumprod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_replication_pad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_device_guard_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_dim_function_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_discontiguous_out_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dtypetensor_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_errors_index_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_expected_failure_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_deterministic_path_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_one_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scale_will_not_overflow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_pass_itself_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_accumulation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_fused_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_separate_unscale_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_multiple_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_penalty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_state_dict_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_sparse_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_update_scale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_int64, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_strides_propagation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_sync_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_shape_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_ternary_op_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_unfold_all_devices_and_dtypes_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_unfold_scalars_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_where_scalar_handcrafted_values_cpu 2024-04-03T16:20:15.9474860Z 2024-04-03T16:20:15.9475275Z Running test_linalg 1/1 ... [2024-04-03 16:20:15.871975] 2024-04-03T16:20:15.9476988Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_linalg.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:20:15.872248] 2024-04-03T16:21:44.2847864Z 2024-04-03T16:21:44.2849476Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_a82ea84f10cdd1f8_.log 2024-04-03T16:21:44.3311689Z Running 1031 items in this shard: test/test_linalg.py::TestLinalgCPU::test_1_sized_with_0_strided_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_1_sized_with_0_strided_cpu_float64, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, 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test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, 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test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_uint8, test/test_linalg.py::TestLinalgCPU::test_pca_lowrank_cpu, test/test_linalg.py::TestLinalgCPU::test_permute_matmul_cpu, test/test_linalg.py::TestLinalgCPU::test_pinv_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_pinv_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_pinv_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_pinv_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_pinv_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_pinv_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_pinv_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_pinv_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_pinverse_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_pinverse_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_pinverse_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_pinverse_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_preferred_linalg_library_cpu, test/test_linalg.py::TestLinalgCPU::test_qr_batched_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_qr_batched_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_qr_batched_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_qr_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_qr_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_qr_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_qr_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_qr_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_qr_error_cases_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_qr_vs_numpy_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_qr_vs_numpy_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_qr_vs_numpy_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_qr_vs_numpy_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_renorm_cpu, test/test_linalg.py::TestLinalgCPU::test_renorm_ps_cpu, test/test_linalg.py::TestLinalgCPU::test_slogdet_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_slogdet_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_slogdet_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_slogdet_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_slogdet_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_slogdet_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_slogdet_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_slogdet_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_solve_batched_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_solve_batched_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_solve_batched_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_solve_batched_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_solve_removed_error_cpu, test/test_linalg.py::TestLinalgCPU::test_strided_mm_bmm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_strided_mm_bmm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_svd_lowrank_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_svd_memory_allocation_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_svd_memory_allocation_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_svd_memory_allocation_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_svd_memory_allocation_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_symeig_removed_error_cpu, test/test_linalg.py::TestLinalgCPU::test_tensordot_cpu, test/test_linalg.py::TestLinalgCPU::test_tensorinv_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorinv_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_empty_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorinv_empty_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_empty_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_empty_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorinv_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_singular_input_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorinv_singular_input_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_singular_input_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_singular_input_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_empty_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_empty_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_empty_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_empty_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_many_batches_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_many_batches_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_many_batches_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_many_batches_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_large_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_out_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_out_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_out_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_out_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_vdot_invalid_args_cpu, test/test_linalg.py::TestLinalgCPU::test_vdot_vs_numpy_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_vdot_vs_numpy_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_vector_norm_dim_tuple_arg_cpu, test/test_linalg.py::TestLinalgCPU::test_vector_norm_extreme_values_cpu, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_float64 2024-04-03T16:21:44.3741275Z 2024-04-03T16:21:44.3741743Z Running test_tensor_creation_ops 1/1 ... [2024-04-03 16:21:44.286513] 2024-04-03T16:21:44.3743776Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:21:44.286789] 2024-04-03T16:22:10.5899027Z 2024-04-03T16:22:10.5900747Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_000736f3d2c76616_.log 2024-04-03T16:22:10.6188560Z Running 625 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_strided_neg_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_scipy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cartesian_prod_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_big_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_in_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float64, 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test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float16, 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test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_simple_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_storage_filename_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_strided_mismatched_stride_shape_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_ctor_device_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factories_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_copy_var_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_non_writable_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_sequence_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_out_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_std_error_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_inference_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_random_neg_values_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_device_compatibility_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_empty_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_full_like_inference_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_byte_to_int_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_astensor_consistency_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_default_device_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_device_without_index_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_numpy_scalars_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_mult_devices_cpu_float32 2024-04-03T16:22:10.6468292Z 2024-04-03T16:22:10.6468729Z Running test_overrides 1/1 ... [2024-04-03 16:22:10.591013] 2024-04-03T16:22:10.6470466Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:22:10.591309] 2024-04-03T16:22:15.8127659Z 2024-04-03T16:22:15.8129114Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_1f6167602b451dee_.log 2024-04-03T16:22:15.8719805Z Running 1455 items in this shard: test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_H___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_T___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__backward_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__base___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__cdata___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__post_accumulate_grad_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__version___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_data___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_device___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_dtype___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_imag___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cuda___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_ipu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_leaf___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_meta___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mkldnn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mps___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mtia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_nested___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_ort___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_quantized___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse_csr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_vulkan___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xla___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_itemsize___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_layout___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mH___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mT___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_name___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_names___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_nbytes___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_ndim___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_output_nr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_real___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_requires_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_retains_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_shape___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_volatile___get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___add__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___and__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___array__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___array_wrap__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___bool__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___complex__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___contains__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___cuda_array_interface_____get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___deepcopy__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___div__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ilshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___imod__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___imul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___index__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___int__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___invert__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ior__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___irshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___isub__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ixor__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___le__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___len__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___long__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___reversed__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rfloordiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rlshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rmatmul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rmod__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rmul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ror__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rpow__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rrshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rsub__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rxor__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___setitem__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj_physical_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cov, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cross, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_crow_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cuda, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_data_ptr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dense_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_det, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diff, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma_, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exponential_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_diagonal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gather, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geometric_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ger, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_half, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_has_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_untyped_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_var, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_where, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_zero_, test/test_overrides.py::TestTorchFunctionOverride::test_base, test/test_overrides.py::TestTorchFunctionOverride::test_grad, test/test_overrides.py::TestTorchFunctionOverride::test_has_torch_function_non_sequence, test/test_overrides.py::TestTorchFunctionOverride::test_mean_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_mm_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_pow_rpow, test/test_overrides.py::TestTorchFunctionOverride::test_precedence_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_tensor_subclass_propagation, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cond, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eig, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigvals, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigvalsh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_householder_product, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_inv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_inv_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_factor, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_factor_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lstsq, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu_factor, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve_triangular, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_svdvals, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_tensorinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_tensorsolve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_vander, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_vecdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_vector_norm, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_hermite_polynomial_he, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i0e, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i1e, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_laguerre_polynomial_l, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_legendre_polynomial_p, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log_ndtr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_multigammaln, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtri, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_psi, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_u, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_v, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_w, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_spherical_bessel_j0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlog1py, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_zeta, test/test_overrides.py::TestTorchFunctionOverride::test_torch__assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__conj_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__functional_assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fw_primal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lobpcg_lobpcg, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_pca_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_svd_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__make_dual_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__native_batch_norm_legit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ger, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gradient, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogramdd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inner, test/test_overrides.py::TestTorchFunctionOverride::test_torch_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_silu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_smooth_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softsign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_tanhshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_with_distance_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_constant_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes 2024-04-03T16:22:15.9289567Z 2024-04-03T16:22:15.9290006Z Running test_schema_check 1/1 ... [2024-04-03 16:22:15.814829] 2024-04-03T16:22:15.9291797Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_schema_check.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:22:15.815120] 2024-04-03T16:28:55.0673297Z 2024-04-03T16:28:55.0674899Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_b5541285ac2d0f7a_.log 2024-04-03T16:28:55.4340454Z Running 5777 items in this shard: test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_custom_ops_output_is_input, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_custom_ops_secretly_aliasing, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_custom_ops_secretly_mutating, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_multiple_operators, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_multiple_operators_centered, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_outputs_unexpectedly_aliasing, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_simple, test/test_schema_check.py::TestSchemaCheck::test_is_alias_of_basic, test/test_schema_check.py::TestSchemaCheck::test_is_alias_of_empty_container, test/test_schema_check.py::TestSchemaCheck::test_mutation_check_fail, test/test_schema_check.py::TestSchemaCheck::test_mutation_check_fail_multiple_operators, test/test_schema_check.py::TestSchemaCheck::test_overlaps_basic, test/test_schema_check.py::TestSchemaCheck::test_overlaps_empty_container, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_empty_list_input, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_aliasing_inputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_default_replaced, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_device_input, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_kwarg_tensor, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_list_input, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_mutable_inputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_nested_training_op, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_training_op, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_wildcard_after, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_with_multiple_outputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_with_multiple_outputs_aliasing, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_aliasing_inputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_aliasing_outputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_as_strided, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_multiple_outputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_mutation, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_none, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_resize_, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_operator_order, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_operator_order_without_grad, test/test_schema_check.py::TestSchemaCheck::test_schema_info_bind_basic, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_float16, 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test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_uint8 2024-04-03T16:28:55.8174934Z 2024-04-03T16:28:55.8175424Z Running functorch/test_vmap 1/1 ... [2024-04-03 16:28:55.075835] 2024-04-03T16:28:55.8177252Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_vmap.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:28:55.076159] 2024-04-03T16:35:18.0810286Z 2024-04-03T16:35:18.0813295Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_fcb0488604a1b50a_.log 2024-04-03T16:35:18.2115539Z Running 2062 items in this shard: test/functorch/test_vmap.py::TestVmapAPI::test_accepts_nested_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_backward_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_batch_rule_does_not_need_to_handle_no_batched_input, test/functorch/test_vmap.py::TestVmapAPI::test_batched_gradient_basic, test/functorch/test_vmap.py::TestVmapAPI::test_constant_function, test/functorch/test_vmap.py::TestVmapAPI::test_data_attribute, test/functorch/test_vmap.py::TestVmapAPI::test_data_dependent_control_flow_throws, test/functorch/test_vmap.py::TestVmapAPI::test_decomposition_under_python_dispatcher, test/functorch/test_vmap.py::TestVmapAPI::test_different_map_dim_size_raises, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_does_not_warn_by_default, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_masked_fill, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_multiple_returns, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warning, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warns_when_warnings_are_enabled, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_with_undefined_grad, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_zero_dim, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_tensors, test/functorch/test_vmap.py::TestVmapAPI::test_functools_partial, test/functorch/test_vmap.py::TestVmapAPI::test_grad_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_in_dim_not_in_tensor_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_in_dims_wrong_type_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_different_levels, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_same_levels, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_unary, test/functorch/test_vmap.py::TestVmapAPI::test_integer_in_dim_but_not_tensor_input_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_item_throws, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_outputs, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_outputs2, test/functorch/test_vmap.py::TestVmapAPI::test_nested_negative_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_non_default_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_diag_embed, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_different_map_dim, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_same_map_dim, test/functorch/test_vmap.py::TestVmapAPI::test_nn_module, test/functorch/test_vmap.py::TestVmapAPI::test_non_default_in_dims_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_non_tensor_output_raises, test/functorch/test_vmap.py::TestVmapAPI::test_non_zero_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_none_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nonzero_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_noop_in_inner_vmap, test/functorch/test_vmap.py::TestVmapAPI::test_not_enough_in_dims_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dim_out_of_bounds_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_and_num_outputs_mismatch_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_edge_case, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_must_be_int_or_collection_of_int_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_none, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_none_tuple, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_normal_tensor, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_odict_returns, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns_broadcast_nested, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns_broadcast_simple, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns_outdims, test/functorch/test_vmap.py::TestVmapAPI::test_reshape_dim_into, test/functorch/test_vmap.py::TestVmapAPI::test_reshape_dim_outof, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_no_vmapped_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_pytree_input_output, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_unexpanded_outputs, test/functorch/test_vmap.py::TestVmapAPI::test_single_input, test/functorch/test_vmap.py::TestVmapAPI::test_unsupported_op_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_vmap_autocast_cpu, test/functorch/test_vmap.py::TestVmapAPI::test_vmap_autocast_cuda, test/functorch/test_vmap.py::TestVmapOperators::test_T_numpy, test/functorch/test_vmap.py::TestVmapOperators::test_adaptive_avg_pool2d, test/functorch/test_vmap.py::TestVmapOperators::test_argmax_dim, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_add, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_add_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_div, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_div_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_mul, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_mul_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_pow, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_pow_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_sub, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_sub_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_as_strided, test/functorch/test_vmap.py::TestVmapOperators::test_bmm, test/functorch/test_vmap.py::TestVmapOperators::test_cat, test/functorch/test_vmap.py::TestVmapOperators::test_chunk, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_2_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_2_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_2_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_clamp, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_inplace_variant_clamp_max_, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_inplace_variant_clamp_min_, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_variant_clamp_max, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_variant_clamp_min, test/functorch/test_vmap.py::TestVmapOperators::test_clone, test/functorch/test_vmap.py::TestVmapOperators::test_comparison_ops, test/functorch/test_vmap.py::TestVmapOperators::test_conj, test/functorch/test_vmap.py::TestVmapOperators::test_conj_bit, test/functorch/test_vmap.py::TestVmapOperators::test_contiguous, test/functorch/test_vmap.py::TestVmapOperators::test_conv2d, test/functorch/test_vmap.py::TestVmapOperators::test_copy_, test/functorch/test_vmap.py::TestVmapOperators::test_cross_batch_size_three, test/functorch/test_vmap.py::TestVmapOperators::test_diagonal, test/functorch/test_vmap.py::TestVmapOperators::test_dot, test/functorch/test_vmap.py::TestVmapOperators::test_expand_as, test/functorch/test_vmap.py::TestVmapOperators::test_fill_and_zero_inplace, test/functorch/test_vmap.py::TestVmapOperators::test_imag, test/functorch/test_vmap.py::TestVmapOperators::test_is_complex, test/functorch/test_vmap.py::TestVmapOperators::test_is_contiguous, test/functorch/test_vmap.py::TestVmapOperators::test_is_floating_point, test/functorch/test_vmap.py::TestVmapOperators::test_mean, test/functorch/test_vmap.py::TestVmapOperators::test_mean_dim, test/functorch/test_vmap.py::TestVmapOperators::test_mm, test/functorch/test_vmap.py::TestVmapOperators::test_mode_key, test/functorch/test_vmap.py::TestVmapOperators::test_movedim, test/functorch/test_vmap.py::TestVmapOperators::test_mv, test/functorch/test_vmap.py::TestVmapOperators::test_narrow, test/functorch/test_vmap.py::TestVmapOperators::test_new_empty, test/functorch/test_vmap.py::TestVmapOperators::test_new_empty_strided, test/functorch/test_vmap.py::TestVmapOperators::test_new_zeros, test/functorch/test_vmap.py::TestVmapOperators::test_nll_loss, test/functorch/test_vmap.py::TestVmapOperators::test_one_hot, test/functorch/test_vmap.py::TestVmapOperators::test_real, test/functorch/test_vmap.py::TestVmapOperators::test_repeat, test/functorch/test_vmap.py::TestVmapOperators::test_reshape, test/functorch/test_vmap.py::TestVmapOperators::test_reshape_as, test/functorch/test_vmap.py::TestVmapOperators::test_result_type, test/functorch/test_vmap.py::TestVmapOperators::test_roll_no_dims, test/functorch/test_vmap.py::TestVmapOperators::test_select, test/functorch/test_vmap.py::TestVmapOperators::test_silu_backward, test/functorch/test_vmap.py::TestVmapOperators::test_slice, test/functorch/test_vmap.py::TestVmapOperators::test_slogdet, test/functorch/test_vmap.py::TestVmapOperators::test_split, test/functorch/test_vmap.py::TestVmapOperators::test_squeeze, test/functorch/test_vmap.py::TestVmapOperators::test_stack, test/functorch/test_vmap.py::TestVmapOperators::test_stride, test/functorch/test_vmap.py::TestVmapOperators::test_sum, test/functorch/test_vmap.py::TestVmapOperators::test_sum_dim, test/functorch/test_vmap.py::TestVmapOperators::test_t, test/functorch/test_vmap.py::TestVmapOperators::test_tensor_split, test/functorch/test_vmap.py::TestVmapOperators::test_to, test/functorch/test_vmap.py::TestVmapOperators::test_trace, test/functorch/test_vmap.py::TestVmapOperators::test_transpose, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_abs, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_acos, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_asin, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_atan, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_ceil, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_cos, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_cosh, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_digamma, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_exp, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_expm1, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_floor, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_frac, 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test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_factor_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lstsq_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_factor_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_factor_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_power_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_rank_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_multi_dot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_hermitian_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_singular_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_qr_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_slogdet_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_triangular_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_svd_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_svdvals_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_tensorinv_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_tensorsolve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vander_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vecdot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vector_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_multi_dot_failure_1D_input_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_with_anomaly_detection_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_add_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_binary_cross_entropy_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_diagonal_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_div_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_expand_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_index_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_inplace_manyview_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_inplace_view_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_lgamma_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log1p_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log_softmax_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_logsumexp_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_max_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_median_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_min_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_mul_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_permute_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_reshape_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_select_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sigmoid_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_slice_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_stack_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sub_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_threshold_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_trace_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_unrelated_output_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_unrelated_output_multiple_grad_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_where_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_and_value_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacfwd_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacrev_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jvp_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vjp_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vmap_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_2_cpu, 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test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_different_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_error_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_same_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_different_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_different_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_error_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_error_use_generator_True_cpu, 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test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_different_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_different_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_error_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_error_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_same_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_same_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_unsupported_random_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_2_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_all_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_any_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_check_tensor_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_cat_batching_rule_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_batched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_unbatched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_unary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_with_nt_and_batched_dense_with_nonzero_bdim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_multilevel_vmap_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_acts_as_dense_in_vmap_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_in_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_out_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_shape_call_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check_ok 2024-04-03T16:35:18.3249879Z 2024-04-03T16:35:18.3250264Z Running test_fx 1/1 ... [2024-04-03 16:35:18.084124] 2024-04-03T16:35:18.3251957Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:35:18.084464] 2024-04-03T16:38:59.0209930Z 2024-04-03T16:38:59.0211087Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_5b618d5d8444c962_.log 2024-04-03T16:38:59.0870846Z Running 1217 items in this shard: test/test_fx.py::TestSubgraphRewriter::test_matching_pattern_with_list_type_arg, test/test_fx.py::TestSubgraphRewriter::test_matching_variable_arguments, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_filters, test/test_fx.py::TestSubgraphRewriter::test_replaced_nodes, test/test_fx.py::TestSubgraphRewriter::test_replacement_with_attrs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_call_method, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_local_revert, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_nodes_with_kwargs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_consecutive_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_duplicated_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_multiple_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_overlapping_matches, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_trivial_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_args, test/test_fx.py::TestDCE::test_dead_chain, test/test_fx.py::TestDCE::test_dead_getattr, test/test_fx.py::TestDCE::test_dead_placeholder, test/test_fx.py::TestDCE::test_dead_placeholder_with_user, test/test_fx.py::TestDCE::test_keep_module_with_side_effects, test/test_fx.py::TestDCE::test_keep_torch_assert, test/test_fx.py::TestDCE::test_simple, test/test_fx.py::TestConstFold::test_check_inline_non_const, test/test_fx.py::TestConstFold::test_check_inline_non_const_mult_return, test/test_fx.py::TestConstFold::test_check_skip_folding_quant_dequant_pattern, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_no_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_placeholder_reordered, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr_three_input, test/test_fx.py::TestConstFold::test_const_fold_has_inlined_call_module_node, test/test_fx.py::TestConstFold::test_const_fold_module_attr, test/test_fx.py::TestConstFold::test_const_fold_multi_const_folded_attrs, test/test_fx.py::TestConstFold::test_const_fold_noop, test/test_fx.py::TestConstFold::test_const_fold_submod_hierarchy, test/test_fx.py::TestConstFold::test_const_fold_tensor_meta, test/test_fx.py::TestConstFold::test_const_fold_unused_placeholder, test/test_fx.py::TestConstFold::test_dict_output, test/test_fx.py::TestConstFold::test_fold_module, test/test_fx.py::TestConstFold::test_retain_node_meta, test/test_fx.py::TestConstFold::test_three_outputs, test/test_fx.py::TestConstFold::test_two_outputs, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_dim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_ndim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_nelement_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_numel_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_shape_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_size_const, test/test_fx.py::TestPassManager::test_pass_manager, test/test_fx.py::TestPassManager::test_pass_manager_bad_checks, test/test_fx.py::TestPassManager::test_pass_manager_checks, test/test_fx.py::TestPassManager::test_pass_manager_error, test/test_fx.py::TestPassManager::test_this_before_that_pass_constraint, test/test_fx.py::TestPassManager::test_topological_sort, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCSEPass::test_banned_list, test/test_fx.py::TestCSEPass::test_empty, test/test_fx.py::TestCSEPass::test_immutable_list_multiple_entries, test/test_fx.py::TestCSEPass::test_immutable_list_type, test/test_fx.py::TestCSEPass::test_kwarg, test/test_fx.py::TestCSEPass::test_nested_immutable_list_type, test/test_fx.py::TestCSEPass::test_nochange, test/test_fx.py::TestCSEPass::test_rand_like, test/test_fx.py::TestCSEPass::test_rand_n, test/test_fx.py::TestCSEPass::test_random, test/test_fx.py::TestCSEPass::test_simple, test/test_fx.py::TestCSEPass::test_simple_2, test/test_fx.py::TestCSEPass::test_simple_multiple_same_ops, test/test_fx.py::TestCSEPass::test_two_args, test/test_fx.py::TestCSEPass::test_two_args_default, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_function, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_module, test/test_fx.py::TestMatcher::test_split_to_graph_and_name_node_map, test/test_fx.py::TestMatcher::test_subgraph_matcher_ignore_literals, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_attributes, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list_bad, test/test_fx.py::TestMatcher::test_variatic_arg_matching, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear, test/test_fx.py::AnnotationsTest::test_annotate, test/test_fx.py::AnnotationsTest::test_annotations, test/test_fx.py::AnnotationsTest::test_broadcasting1, test/test_fx.py::AnnotationsTest::test_broadcasting2, test/test_fx.py::AnnotationsTest::test_broadcasting3, test/test_fx.py::AnnotationsTest::test_consistency, test/test_fx.py::AnnotationsTest::test_precision, test/test_fx.py::TypeCheckerTest::test_flatten_fully_static, test/test_fx.py::TypeCheckerTest::test_resnet50, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast_2, test/test_fx.py::TypeCheckerTest::test_type_check_add_false, test/test_fx.py::TypeCheckerTest::test_type_check_add_true, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_scalar, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_false, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_symbolic, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2_fully_static, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_types, test/test_fx.py::TypeCheckerTest::test_type_check_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_flatten3, test/test_fx.py::TypeCheckerTest::test_type_check_flatten_2, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true_param_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_true, test/test_fx.py::TypeCheckerTest::test_type_check_symbolic_inferenceconv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_False, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_true, test/test_fx.py::TypeCheckerTest::test_type_maxpool2d_fully_static, test/test_fx.py::TypeCheckerTest::test_type_typechecl_maxpool2d_3dinput, test/test_fx.py::TypeCheckerTest::test_typecheck_basicblock, test/test_fx.py::TestFX::test_all_input_nodes, test/test_fx.py::TestFX::test_annotation_with_future, test/test_fx.py::TestFX::test_annotations_empty_tuple, test/test_fx.py::TestFX::test_annotations_with_forward_references, test/test_fx.py::TestFX::test_annotations_with_no_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_internal_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_no_internal_forward_references, test/test_fx.py::TestFX::test_args_kwargs, test/test_fx.py::TestFX::test_args_kwargs_no_self, test/test_fx.py::TestFX::test_assert, test/test_fx.py::TestFX::test_ast_rewriter_reassigns_submodules, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert_with_message, test/test_fx.py::TestFX::test_ast_rewriter_wrap, test/test_fx.py::TestFX::test_ast_rewriter_wrap_fn_directly, test/test_fx.py::TestFX::test_ast_rewriter_wrap_with_submodule, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_autowrap_functions, test/test_fx.py::TestFX::test_concrete_arg_none_assert, test/test_fx.py::TestFX::test_construct_root_dict, test/test_fx.py::TestFX::test_control_flow_tracing, test/test_fx.py::TestFX::test_copy_it, test/test_fx.py::TestFX::test_copy_no_remap, test/test_fx.py::TestFX::test_ctx_mgr, test/test_fx.py::TestFX::test_custom_codegen, test/test_fx.py::TestFX::test_custom_codegen_with_transformer, test/test_fx.py::TestFX::test_custom_import, test/test_fx.py::TestFX::test_custom_proxy_dynamic_value, test/test_fx.py::TestFX::test_custom_proxy_input_dependent_control_flow, test/test_fx.py::TestFX::test_custom_proxy_type, test/test_fx.py::TestFX::test_custom_proxy_type_literal, test/test_fx.py::TestFX::test_custom_traceback_not_raised_when_exception_source_is_submodule, test/test_fx.py::TestFX::test_custom_traceback_raised_when_exception_source_is_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graph_with_tracer_cls, test/test_fx.py::TestFX::test_deepcopy_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graphmodule_with_transform, test/test_fx.py::TestFX::test_deepcopy_no_recursion, test/test_fx.py::TestFX::test_deepcopy_recursion_depth, test/test_fx.py::TestFX::test_deepcopy_tracer, test/test_fx.py::TestFX::test_deepcopy_with_submods_params, test/test_fx.py::TestFX::test_delete_unused_submodules_leaf, test/test_fx.py::TestFX::test_dict, test/test_fx.py::TestFX::test_direct_param_use, test/test_fx.py::TestFX::test_disallow_override, test/test_fx.py::TestFX::test_ellipsis, test/test_fx.py::TestFX::test_empty_graph_codegen, test/test_fx.py::TestFX::test_enum, test/test_fx.py::TestFX::test_erase_node_error, test/test_fx.py::TestFX::test_example_shape_prop, test/test_fx.py::TestFX::test_find_uses, test/test_fx.py::TestFX::test_fn_type_annotation_empty, test/test_fx.py::TestFX::test_fn_type_annotations, test/test_fx.py::TestFX::test_fx_and_or, test/test_fx.py::TestFX::test_fx_create_arg, test/test_fx.py::TestFX::test_fx_shifts, test/test_fx.py::TestFX::test_fx_stateless, test/test_fx.py::TestFX::test_get_torch_func_signature, test/test_fx.py::TestFX::test_getitem, test/test_fx.py::TestFX::test_getitem_subproc, test/test_fx.py::TestFX::test_graph_edit_with_proxy, test/test_fx.py::TestFX::test_graph_fns, test/test_fx.py::TestFX::test_graph_module, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_dict_init, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_mod_init, test/test_fx.py::TestFX::test_graph_module_replicate_for_dp, test/test_fx.py::TestFX::test_graph_unique_names, test/test_fx.py::TestFX::test_graph_unique_names_manual, test/test_fx.py::TestFX::test_immutable_dict_pytree_ops, test/test_fx.py::TestFX::test_immutable_list_pytree_ops, test/test_fx.py::TestFX::test_imul_code_print, test/test_fx.py::TestFX::test_inf_nan, test/test_fx.py::TestFX::test_inf_nan_kwds, test/test_fx.py::TestFX::test_informative_co_filename, test/test_fx.py::TestFX::test_inline_graph, test/test_fx.py::TestFX::test_insert_arg, test/test_fx.py::TestFX::test_insertion_point, test/test_fx.py::TestFX::test_interpreter, test/test_fx.py::TestFX::test_interpreter_default_args, test/test_fx.py::TestFX::test_interpreter_gc_values, test/test_fx.py::TestFX::test_interpreter_noop_resnet18, test/test_fx.py::TestFX::test_interpreter_not_enough_args, test/test_fx.py::TestFX::test_interpreter_onthefly_swap, test/test_fx.py::TestFX::test_interpreter_other_graph, test/test_fx.py::TestFX::test_interpreter_partial_eval, test/test_fx.py::TestFX::test_interpreter_run_node_override, test/test_fx.py::TestFX::test_interpreter_star_args, test/test_fx.py::TestFX::test_interpreter_with_codegen, test/test_fx.py::TestFX::test_layout, test/test_fx.py::TestFX::test_leaf_module, test/test_fx.py::TestFX::test_lineno_map, test/test_fx.py::TestFX::test_matmul_tracing, test/test_fx.py::TestFX::test_metadata_on_ph, test/test_fx.py::TestFX::test_module_deepcopy_edit_nodes, test/test_fx.py::TestFX::test_move_before, test/test_fx.py::TestFX::test_multi_insert_point, test/test_fx.py::TestFX::test_multiple_default_args, test/test_fx.py::TestFX::test_named_tuple_inlined, test/test_fx.py::TestFX::test_namedtuple_return_qualname, test/test_fx.py::TestFX::test_namedtuple_return_trace, test/test_fx.py::TestFX::test_native_callable, test/test_fx.py::TestFX::test_nn_module_stack, test/test_fx.py::TestFX::test_no_mutation, test/test_fx.py::TestFX::test_node_tagging, test/test_fx.py::TestFX::test_nonetype_annotation, test/test_fx.py::TestFX::test_partial_trace, test/test_fx.py::TestFX::test_pickle_custom_import, test/test_fx.py::TestFX::test_pickle_graphmodule, test/test_fx.py::TestFX::test_pickle_nonetype_annotation, test/test_fx.py::TestFX::test_pickle_torch_custom_ops, test/test_fx.py::TestFX::test_prepend_self, test/test_fx.py::TestFX::test_pretty_print, test/test_fx.py::TestFX::test_pretty_print_graph, test/test_fx.py::TestFX::test_pretty_print_node, test/test_fx.py::TestFX::test_pretty_print_targets, test/test_fx.py::TestFX::test_profiler_ranges_side_effect, test/test_fx.py::TestFX::test_pytree, test/test_fx.py::TestFX::test_pytree_concrete, test/test_fx.py::TestFX::test_reassign_args_kwargs_uses, test/test_fx.py::TestFX::test_regular_and_default_args, test/test_fx.py::TestFX::test_remove_uses, test/test_fx.py::TestFX::test_remove_uses_with_custom_filter, test/test_fx.py::TestFX::test_replace_input, test/test_fx.py::TestFX::test_replace_uses, test/test_fx.py::TestFX::test_reserved_getattr, test/test_fx.py::TestFX::test_return_tuple, test/test_fx.py::TestFX::test_return_type_exists, test/test_fx.py::TestFX::test_script_method_trace, test/test_fx.py::TestFX::test_script_tensor_constant, test/test_fx.py::TestFX::test_sequential, test/test_fx.py::TestFX::test_shape_prop_aggregate, test/test_fx.py::TestFX::test_shape_prop_layout, test/test_fx.py::TestFX::test_shape_prop_layout_3d, test/test_fx.py::TestFX::test_single_default_arg, test/test_fx.py::TestFX::test_snake_case, test/test_fx.py::TestFX::test_sqrt, test/test_fx.py::TestFX::test_stack_traces, test/test_fx.py::TestFX::test_stack_traces_with_transformer, test/test_fx.py::TestFX::test_string_literal_return, test/test_fx.py::TestFX::test_submodule_manipulation_API, test/test_fx.py::TestFX::test_symbolic_trace_assert, test/test_fx.py::TestFX::test_symbolic_trace_sequential, test/test_fx.py::TestFX::test_tensor_attribute, test/test_fx.py::TestFX::test_tensor_attribute_coalseced, test/test_fx.py::TestFX::test_tensor_constant, test/test_fx.py::TestFX::test_throw_out_variant, test/test_fx.py::TestFX::test_torch_custom_ops, test/test_fx.py::TestFX::test_torch_fx_getattr, test/test_fx.py::TestFX::test_torch_fx_len, test/test_fx.py::TestFX::test_torch_op_overloads, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx_tensor_arg, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_dict_int_keys, test/test_fx.py::TestFX::test_trace_dict_proxy_keys, test/test_fx.py::TestFX::test_trace_fn_constant, test/test_fx.py::TestFX::test_trace_function, test/test_fx.py::TestFX::test_trace_multiple_funcs, test/test_fx.py::TestFX::test_trace_return_dataclass, test/test_fx.py::TestFX::test_trace_return_dataclass_nested, test/test_fx.py::TestFX::test_trace_return_namedtuple, test/test_fx.py::TestFX::test_tracing_graphmodules_as_leaf_submodules, test/test_fx.py::TestFX::test_transformer_multi_outputs, test/test_fx.py::TestFX::test_transformer_noop, test/test_fx.py::TestFX::test_transformer_op_swap, test/test_fx.py::TestFX::test_transformer_preserves_nn_module_stack_for_get_attr, test/test_fx.py::TestFX::test_tuple_no_subscript, test/test_fx.py::TestFX::test_typename_print, test/test_fx.py::TestFX::test_unpack, test/test_fx.py::TestFX::test_unpack_dict_better_error, test/test_fx.py::TestFX::test_unpack_list_better_error, test/test_fx.py::TestFX::test_update_args_api, test/test_fx.py::TestFX::test_update_args_kwargs_yells_at_you, test/test_fx.py::TestFX::test_update_kwargs_api, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_function, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_module, test/test_fx.py::TestFX::test_varargs_concrete, test/test_fx.py::TestFX::test_wrap, test/test_fx.py::TestFX::test_wrap_decorated_function, test/test_fx.py::TestFX::test_wrap_fn_directly, test/test_fx.py::TestFX::test_wrap_with_submodule, test/test_fx.py::TestFX::test_wrapped_method, test/test_fx.py::TestFX::test_wrapped_retrace, test/test_fx.py::TestFX::test_wrapped_via_decorator, test/test_fx.py::TestFX::test_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_wrong_target_type, test/test_fx.py::TestFX::test_wrong_topo, test/test_fx.py::TestFXAPIBackwardCompatibility::test_adding_side_effect_function, test/test_fx.py::TestFXAPIBackwardCompatibility::test_class_member_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_function_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_preserve_unused_attr_after_unpickle, test/test_fx.py::TestFXAPIBackwardCompatibility::test_public_api_surface, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_affine_grid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_batch_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy_with_logits, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_tbc, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_similarity, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_ctc_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding_bag, test/test_fx.py::TestFunctionalTracing::test_nn_functional_feature_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gaussian_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_glu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_grid_sample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_group_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gumbel_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardswish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hinge_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_huber_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_instance_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_interpolate, test/test_fx.py::TestFunctionalTracing::test_nn_functional_kl_div, test/test_fx.py::TestFunctionalTracing::test_nn_functional_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_layer_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_linear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_local_response_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_log_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_logsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_margin_ranking_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mse_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_head_attention_forward, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_native_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_normalize, test/test_fx.py::TestFunctionalTracing::test_nn_functional_one_hot, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pad, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pairwise_distance, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pdist, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_unshuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_poisson_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_prelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu6, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rms_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_dot_product_attention, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_silu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_smooth_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmin, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softplus, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_with_distance_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_unfold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_nearest, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_H_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_T_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___getitem___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___radd___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rdiv___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmatmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmod___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rpow___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rsub___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__chunk_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__native_batch_norm_legit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_offsets_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__softmax_backward_data_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_abs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcdiv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_decomposed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_all_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_allclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_aminmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_angle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_any_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_arange_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argsort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argwhere_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_partial_views_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_baddbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bernoulli_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bfloat16_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_block_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bool_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_shapes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bucketize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_byte_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cartesian_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cauchy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdouble_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ceil_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cfloat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chalf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_char_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_inverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_max_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_min_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clone_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_column_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_combinations_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_physical_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_constant_pad_nd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_contiguous_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_copysign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_corrcoef_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_count_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cov_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumulative_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_deg2rad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_embed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagflat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diff_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_digamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_floor_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_double_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_einsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_permuted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_equal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expm1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eye_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flip_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fliplr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flipud_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gather_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ge_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geometric_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geqrf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gradient_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_half_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_heaviside_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogram_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogramdd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hypot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igammac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_inner_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_int_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isfinite_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isnan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isneginf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isposinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isreal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_item_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_unary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kron_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kthvalue_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ldexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_le_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lerp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lgamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cond_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_det_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_det_singular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eig_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_householder_product_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_singular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_slogdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svdvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vander_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vecdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vector_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log10_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log1p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logcumsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_and_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_not_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_or_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_xor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_long_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_unpack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mH_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mT_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matrix_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_maximum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_minimum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_movedim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_msort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_multinomial_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nan_to_num_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmedian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanquantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nansum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_dropout_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ne_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nextafter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_celu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_elu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_glu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_group_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_kl_div_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu6_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_selu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_silu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softplus_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_static_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_fro_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_inf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_nuc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_in_place_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_number_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ormqr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_outer_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pca_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pinverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polar_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_positive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_quantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rad2deg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rand_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ravel_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_real_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reciprocal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_remainder_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_renorm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_interleave_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize_as__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_roll_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rot90_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_neg_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scalar_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_searchsorted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sgn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_short_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_bartlett_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_blackman_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_gaussian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hann_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_kaiser_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_nuttall_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signbit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_mm_reduce_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_airy_ai_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_entr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_erfcx_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i0e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_log_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtri_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_xlog1py_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_zeta_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_list_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_square_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_multiple_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_to_size_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_along_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensor_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensordot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_sparse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_topk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapz_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triangular_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tril_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_true_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trunc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unflatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_uniform_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_consecutive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_where_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_xlogy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zero__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_like_cpu_float32, test/test_fx.py::TestVisionTracing::test_torchvision_models_alexnet, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_base, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_tiny, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet121, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet161, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet169, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet201, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_320_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fcos_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_keypointrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssd300_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssdlite320_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b0, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b1, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b2, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b3, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b4, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b5, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b6, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_l, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_m, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_googlenet, test/test_fx.py::TestVisionTracing::test_torchvision_models_inception_v3, test/test_fx.py::TestVisionTracing::test_torchvision_models_maxvit_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_75, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_3, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_128gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet152, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet18, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet34, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_32x8d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_64x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext50_32x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_lraspp_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x2_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_1, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mc3_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v1_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r2plus1d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r3d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_s3d, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_h_14, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet101_2, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet50_2 2024-04-03T16:38:59.1423760Z 2024-04-03T16:38:59.1424221Z Running test_reductions 1/1 ... [2024-04-03 16:38:59.022750] 2024-04-03T16:38:59.1425992Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:38:59.024224] 2024-04-03T16:42:21.7468529Z 2024-04-03T16:42:21.7469835Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_6a81b8e4ad7a4e8e_.log 2024-04-03T16:42:21.9566137Z Running 4479 items in this shard: test/test_reductions.py::TestReductionsCPU::test_accreal_type_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float64, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_cpu_device_mismatch_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_dim_reduction_uint8_overflow_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_out_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_parallel_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_argmax_argmix_kthvalue_dim_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_reduce_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_cpu, test/test_reductions.py::TestReductionsCPU::test_var_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_var_large_input_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability2_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability_cpu, test/test_reductions.py::TestReductionsCPU::test_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float64 2024-04-03T16:42:22.1573370Z 2024-04-03T16:42:22.1573858Z Running test_mobile_optimizer 1/1 ... [2024-04-03 16:42:21.752716] 2024-04-03T16:42:22.1575777Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:42:21.753048] 2024-04-03T16:42:26.5743600Z 2024-04-03T16:42:26.5745431Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_83c8004cf4f81b40_.log 2024-04-03T16:42:26.5750307Z Running 7 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_clone_module_with_class, test/test_mobile_optimizer.py::TestOptimizer::test_generate_mobile_module_lints, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_mobilenet_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_preserve_bundled_inputs_methods, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures 2024-04-03T16:42:26.5753354Z 2024-04-03T16:42:26.5753688Z Running test_cuda_trace 1/1 ... [2024-04-03 16:42:26.574517] 2024-04-03T16:42:26.5755467Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:42:26.574870] 2024-04-03T16:42:28.0957175Z 2024-04-03T16:42:28.0958819Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_11a29231e88b3397_.log 2024-04-03T16:42:28.0959806Z Running 0 items in this shard: 2024-04-03T16:42:28.0960200Z 2024-04-03T16:42:28.0961492Z Running test_serialization 1/1 ... [2024-04-03 16:42:28.095929] 2024-04-03T16:42:28.0965834Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_serialization.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:42:28.096287] 2024-04-03T16:42:59.6067935Z 2024-04-03T16:42:59.6069769Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_164265fa68377502_.log 2024-04-03T16:42:59.6152148Z Running 124 items in this shard: test/test_serialization.py::TestOldSerialization::test_load_error_msg, test/test_serialization.py::TestOldSerialization::test_load_nonexistent_device, test/test_serialization.py::TestOldSerialization::test_load_python2_unicode_module, test/test_serialization.py::TestOldSerialization::test_load_unicode_error_msg, test/test_serialization.py::TestOldSerialization::test_pickle_module, test/test_serialization.py::TestOldSerialization::test_safe_load_basic_types, test/test_serialization.py::TestOldSerialization::test_save_different_dtype_error, test/test_serialization.py::TestOldSerialization::test_save_different_dtype_unallocated, test/test_serialization.py::TestOldSerialization::test_serialization, test/test_serialization.py::TestOldSerialization::test_serialization_backwards_compat, test/test_serialization.py::TestOldSerialization::test_serialization_backwards_compat_safe, test/test_serialization.py::TestOldSerialization::test_serialization_container, test/test_serialization.py::TestOldSerialization::test_serialization_container_filelike, test/test_serialization.py::TestOldSerialization::test_serialization_dill, test/test_serialization.py::TestOldSerialization::test_serialization_dill_version_not_supported, test/test_serialization.py::TestOldSerialization::test_serialization_fake_zip, test/test_serialization.py::TestOldSerialization::test_serialization_filelike, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_api_requirements, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_exceptions, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_missing_attrs, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_stress, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_uses_readinto, test/test_serialization.py::TestOldSerialization::test_serialization_gzip, test/test_serialization.py::TestOldSerialization::test_serialization_map_location, test/test_serialization.py::TestOldSerialization::test_serialization_offset, test/test_serialization.py::TestOldSerialization::test_serialization_offset_filelike_weights_only_False, test/test_serialization.py::TestOldSerialization::test_serialization_offset_filelike_weights_only_True, test/test_serialization.py::TestOldSerialization::test_serialization_offset_gzip, test/test_serialization.py::TestOldSerialization::test_serialization_safe, test/test_serialization.py::TestOldSerialization::test_serialization_save_warnings, test/test_serialization.py::TestOldSerialization::test_serialization_sparse, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_bsc_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_bsr_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_csc_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_csr_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_safe, test/test_serialization.py::TestOldSerialization::test_serialization_storage_slice, test/test_serialization.py::TestOldSerialization::test_serialization_zipfile_utils, test/test_serialization.py::TestOldSerialization::test_serialize_device, test/test_serialization.py::TestSerialization::test_load_error_msg, test/test_serialization.py::TestSerialization::test_load_nonexistent_device, test/test_serialization.py::TestSerialization::test_load_python2_unicode_module, test/test_serialization.py::TestSerialization::test_load_unicode_error_msg, test/test_serialization.py::TestSerialization::test_lr_scheduler_serialization, test/test_serialization.py::TestSerialization::test_meta_serialization_weights_only_False, test/test_serialization.py::TestSerialization::test_meta_serialization_weights_only_True, test/test_serialization.py::TestSerialization::test_pathlike_serialization_weights_only_False, test/test_serialization.py::TestSerialization::test_pathlike_serialization_weights_only_True, test/test_serialization.py::TestSerialization::test_pickle_module, test/test_serialization.py::TestSerialization::test_safe_load_basic_types, test/test_serialization.py::TestSerialization::test_save_different_dtype_error, test/test_serialization.py::TestSerialization::test_save_different_dtype_unallocated, test/test_serialization.py::TestSerialization::test_serialization, test/test_serialization.py::TestSerialization::test_serialization_2gb_file, test/test_serialization.py::TestSerialization::test_serialization_backwards_compat, test/test_serialization.py::TestSerialization::test_serialization_backwards_compat_safe, test/test_serialization.py::TestSerialization::test_serialization_byteorder_mark, test/test_serialization.py::TestSerialization::test_serialization_dill, test/test_serialization.py::TestSerialization::test_serialization_dill_version_not_supported, test/test_serialization.py::TestSerialization::test_serialization_dtype_complex32_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_complex32_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e4m3fn_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e4m3fn_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e5m2_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e5m2_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_efficient_zerotensor_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_efficient_zerotensor_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_fake_zip, test/test_serialization.py::TestSerialization::test_serialization_filelike, test/test_serialization.py::TestSerialization::test_serialization_filelike_api_requirements, test/test_serialization.py::TestSerialization::test_serialization_filelike_exceptions, test/test_serialization.py::TestSerialization::test_serialization_filelike_missing_attrs, test/test_serialization.py::TestSerialization::test_serialization_filelike_stress, test/test_serialization.py::TestSerialization::test_serialization_filelike_uses_readinto, test/test_serialization.py::TestSerialization::test_serialization_gzip, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_bfloat16, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_bool, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_cdouble, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_cfloat, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_double, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_float, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_half, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int16, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int8, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_long, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_uint8, test/test_serialization.py::TestSerialization::test_serialization_map_location, test/test_serialization.py::TestSerialization::test_serialization_math_bits_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_math_bits_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_path_type0_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_path_type0_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_path_type1_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_path_type1_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_with_map_location, test/test_serialization.py::TestSerialization::test_serialization_offset_gzip, test/test_serialization.py::TestSerialization::test_serialization_python_attr, test/test_serialization.py::TestSerialization::test_serialization_safe, test/test_serialization.py::TestSerialization::test_serialization_save_warnings, test/test_serialization.py::TestSerialization::test_serialization_sparse, test/test_serialization.py::TestSerialization::test_serialization_sparse_bsc_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_bsr_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_csc_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_csr_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_safe, test/test_serialization.py::TestSerialization::test_serialization_storage_slice, test/test_serialization.py::TestSerialization::test_serialization_warning_s390x, test/test_serialization.py::TestSerialization::test_serialization_zipfile_actually_jit, test/test_serialization.py::TestSerialization::test_serialization_zipfile_utils, test/test_serialization.py::TestSerialization::test_serialization_zipfile_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_zipfile_weights_only_True, test/test_serialization.py::TestSerialization::test_serialize_device, test/test_serialization.py::TestSerialization::test_weights_only_assert, test/test_serialization.py::TestSubclassSerialization::test_cloned_deepcopy_requires_grad_False, test/test_serialization.py::TestSubclassSerialization::test_cloned_deepcopy_requires_grad_True, test/test_serialization.py::TestSubclassSerialization::test_empty_class_serialization, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_deepcopy, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_getstate_overwrite, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_wrapper_serialization, test/test_serialization.py::TestBothSerializationCPU::test_serialization_new_format_old_format_compat_weights_only_False_cpu, test/test_serialization.py::TestBothSerializationCPU::test_serialization_new_format_old_format_compat_weights_only_True_cpu 2024-04-03T16:42:59.6207620Z 2024-04-03T16:42:59.6208111Z Running test_multiprocessing_spawn 1/1 ... [2024-04-03 16:42:59.606614] 2024-04-03T16:42:59.6209983Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:42:59.606976] 2024-04-03T16:43:17.7490511Z 2024-04-03T16:43:17.7492638Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_09530c22f99ec061_.log 2024-04-03T16:43:17.7501135Z Running 19 items in this shard: test/test_multiprocessing_spawn.py::SpawnTest::test_exception_all, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_single, test/test_multiprocessing_spawn.py::SpawnTest::test_first_argument_index, test/test_multiprocessing_spawn.py::SpawnTest::test_signal_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_success, test/test_multiprocessing_spawn.py::SpawnTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::SpawnTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ForkTest::test_exception_all, test/test_multiprocessing_spawn.py::ForkTest::test_exception_single, test/test_multiprocessing_spawn.py::ForkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ForkTest::test_success, test/test_multiprocessing_spawn.py::ForkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ForkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ErrorTest::test_errors_pickleable 2024-04-03T16:43:17.7508414Z 2024-04-03T16:43:17.7508920Z Running test_dispatch 1/1 ... [2024-04-03 16:43:17.749223] 2024-04-03T16:43:17.7510698Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:43:17.749544] 2024-04-03T16:43:44.4021497Z 2024-04-03T16:43:44.4022935Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_6bfbe3b05fabf6ef_.log 2024-04-03T16:43:44.4036855Z Running 32 items in this shard: test/test_dispatch.py::TestDispatch::test_all_invariants, test/test_dispatch.py::TestDispatch::test_computed_table, test/test_dispatch.py::TestDispatch::test_computed_table_with_ambiguous_autogradother, test/test_dispatch.py::TestDispatch::test_computed_table_with_autograd, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math_autogradcpu_fallthrough, test/test_dispatch.py::TestDispatch::test_computed_table_with_math, test/test_dispatch.py::TestDispatch::test_def, test/test_dispatch.py::TestDispatch::test_def_impl_schema_mismatch, test/test_dispatch.py::TestDispatch::test_def_only, test/test_dispatch.py::TestDispatch::test_def_with_explicit_alias, test/test_dispatch.py::TestDispatch::test_def_with_inference, test/test_dispatch.py::TestDispatch::test_dispatch_print_registrations_for_dispatch_key_invalid, test/test_dispatch.py::TestDispatch::test_find_dangling_impls, test/test_dispatch.py::TestDispatch::test_find_dangling_impls_ext, test/test_dispatch.py::TestDispatch::test_impl_only, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_defaulting, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_mismatch, test/test_dispatch.py::TestDispatch::test_multiple_def_error, test/test_dispatch.py::TestDispatch::test_multiple_fallback, test/test_dispatch.py::TestDispatch::test_overwrite_math, test/test_dispatch.py::TestPythonDispatcher::test_autogradother, test/test_dispatch.py::TestPythonDispatcher::test_basic, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_math, test/test_dispatch.py::TestPythonDispatcher::test_duplicate_registrations, test/test_dispatch.py::TestPythonDispatcher::test_math_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_quantized_structured_not_implemented 2024-04-03T16:43:44.4048799Z 2024-04-03T16:43:44.4049124Z Running test_prims 1/1 ... [2024-04-03 16:43:44.402323] 2024-04-03T16:43:44.4050775Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_prims.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:43:44.402633] 2024-04-03T16:43:47.6223723Z 2024-04-03T16:43:47.6225404Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_39bc829f5e3659ae_.log 2024-04-03T16:43:47.6237042Z Running 22 items in this shard: test/test_prims.py::TestPrimsBasic::test_check_deprecation_warning, test/test_prims.py::TestPrimsBasic::test_mul_complex, test/test_prims.py::TestPrimsBasic::test_torch_ops, test/test_prims.py::TestPrimsCPU::test_aten_overload_to_prims_cpu, test/test_prims.py::TestPrimsCPU::test_broadcast_in_dim_cpu_float32, test/test_prims.py::TestPrimsCPU::test_broadcast_in_dim_sum_cpu_float32, test/test_prims.py::TestPrimsCPU::test_cbrt_prim_cpu_float64, test/test_prims.py::TestPrimsCPU::test_cbrt_prim_cpu_int64, test/test_prims.py::TestPrimsCPU::test_collapse_cpu_float32, test/test_prims.py::TestPrimsCPU::test_functional_rng_wrappers_cpu_float32, test/test_prims.py::TestPrimsCPU::test_memory_format_strides_cpu_float32, test/test_prims.py::TestPrimsCPU::test_philox_rand_cpu_float32, test/test_prims.py::TestPrimsCPU::test_reshape_view_method_cpu_float32, test/test_prims.py::TestPrimsCPU::test_var_correction_0_cpu_float32, test/test_prims.py::TestPrimsCPU::test_var_correction_1_cpu_float32, test/test_prims.py::TestRefsCPU::test_constant_pad_nd_memory_format_cpu_float32, test/test_prims.py::TestRefsCPU::test_infinite_loop_from_py_dispatcher_cpu, test/test_prims.py::TestRefsCPU::test_linspace_with_complex_input_cpu, test/test_prims.py::TestRefsCPU::test_logspace_with_complex_input_cpu, test/test_prims.py::TestRefsCPU::test_unbind_cpu, test/test_prims.py::TestDecompCPU::test_decomposition_method_vararg_ones_cpu_float32, test/test_prims.py::TestDecompCPU::test_decomposition_method_vararg_permute_cpu_float32 2024-04-03T16:43:47.6251562Z 2024-04-03T16:43:47.6252167Z Running test_nn 1/1 ... [2024-04-03 16:43:47.622518] 2024-04-03T16:43:47.6255214Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:43:47.622880] 2024-04-03T16:46:08.8068292Z 2024-04-03T16:46:08.8069657Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_4fd765732758dd76_.log 2024-04-03T16:46:08.9667414Z Running 2165 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_reduce, test/test_nn.py::TestNN::test_BCELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_CELU_no_batch_dim, test/test_nn.py::TestNN::test_CELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_CTCLoss_critical_target_len, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cpu, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_long_targets, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_Conv1d, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_cuda, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_same2, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, test/test_nn.py::TestNN::test_ELU_no_batch_dim, test/test_nn.py::TestNN::test_ELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Embedding, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean, test/test_nn.py::TestNN::test_EmbeddingBag_mean_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_cuda, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Fold, test/test_nn.py::TestNN::test_Fold_cuda, test/test_nn.py::TestNN::test_Fold_int_input, test/test_nn.py::TestNN::test_Fold_int_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, test/test_nn.py::TestNN::test_GELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GLU_no_batch_dim, test/test_nn.py::TestNN::test_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_cuda, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval_cuda, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear, test/test_nn.py::TestNN::test_Linear_cuda, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_reduce, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool1d_net, test/test_nn.py::TestNN::test_MaxUnpool1d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net, test/test_nn.py::TestNN::test_MaxUnpool2d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_backward_requires_grad_false, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, test/test_nn.py::TestNN::test_PReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_ParameterList, test/test_nn.py::TestNN::test_ParameterList_meta, test/test_nn.py::TestNN::test_ParameterList_replication, test/test_nn.py::TestNN::test_PixelShuffle, test/test_nn.py::TestNN::test_PixelShuffle_cuda, test/test_nn.py::TestNN::test_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_RNN_cell, test/test_nn.py::TestNN::test_RNN_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, test/test_nn.py::TestNN::test_RNN_dropout, test/test_nn.py::TestNN::test_RNN_dropout_state, test/test_nn.py::TestNN::test_RNN_input_size_zero, test/test_nn.py::TestNN::test_RNN_nonlinearity, test/test_nn.py::TestNN::test_RNN_nonlinearity_passed_as_arg, test/test_nn.py::TestNN::test_RReLU, test/test_nn.py::TestNN::test_RReLU_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SELU_no_batch_dim, test/test_nn.py::TestNN::test_SELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_add, test/test_nn.py::TestNN::test_Sequential_append, test/test_nn.py::TestNN::test_Sequential_delitem, test/test_nn.py::TestNN::test_Sequential_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, test/test_nn.py::TestNN::test_SiLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta_cuda, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softsign_no_batch_dim, test/test_nn.py::TestNN::test_Softsign_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanh_no_batch_dim, test/test_nn.py::TestNN::test_Tanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Threshold_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, test/test_nn.py::TestNN::test_add_module, test/test_nn.py::TestNN::test_add_module_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_affine_grid, test/test_nn.py::TestNN::test_affine_grid_3d, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, test/test_nn.py::TestNN::test_batch_norm_update_stats, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_bias_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_less_than_one_value_per_channel, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bce_with_logits_stability, test/test_nn.py::TestNN::test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_not_persistent, test/test_nn.py::TestNN::test_buffer_not_persistent_assign, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_nonexpandable_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_invalid_shape, test/test_nn.py::TestNN::test_cosine_embedding_loss_margin_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_cudnn_forward_exception, test/test_nn.py::TestNN::test_cudnn_rnn_dropout_states_device, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_set_extra_state, test/test_nn.py::TestNN::test_extra_state_non_dict, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_grid_sample_error_checking, test/test_nn.py::TestNN::test_grid_sample_nearest_neighbor_rounding_mode_consistency, test/test_nn.py::TestNN::test_hardtanh_backward, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_inplace_thnn, test/test_nn.py::TestNN::test_interpolate, test/test_nn.py::TestNN::test_interpolate_bicubic_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_buffer_overflow, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d, test/test_nn.py::TestNN::test_interpolate_nearest_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d, test/test_nn.py::TestNN::test_interpolate_nearest_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_undefined_behavior_casting, test/test_nn.py::TestNN::test_kl_div_log_softmax_target, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_l1_loss_correct, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightStrided, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_dim0, test/test_nn.py::TestNN::test_log_softmax_dim0_cuda, test/test_nn.py::TestNN::test_log_softmax_dim3, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, test/test_nn.py::TestNN::test_log_softmax_lastdim, test/test_nn.py::TestNN::test_log_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_scalar_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial, test/test_nn.py::TestNN::test_log_softmax_spatial_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes, test/test_nn.py::TestNN::test_parameters_and_named_parameters, test/test_nn.py::TestNN::test_parameters_to_vector, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_cpu_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_cuda_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pdist_large, test/test_nn.py::TestNN::test_pdist_zeros, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_not_tensor, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_register_state_dict_pre_hook, test/test_nn.py::TestNN::test_register_state_dict_pre_hook_lazy_module, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_check_device, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_rnn_weight_norm, test/test_nn.py::TestNN::test_share_memory, test/test_nn.py::TestNN::test_smoothl1loss_intergral_target, test/test_nn.py::TestNN::test_smoothl1loss_negative_beta_not_supported, test/test_nn.py::TestNN::test_softmax_functional_dim0, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, test/test_nn.py::TestNN::test_softmax_functional_dim3, test/test_nn.py::TestNN::test_softmax_functional_dim3_cuda, test/test_nn.py::TestNN::test_softmax_functional_scalar, test/test_nn.py::TestNN::test_softmax_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial, test/test_nn.py::TestNN::test_softmax_spatial_cuda, test/test_nn.py::TestNN::test_softmax_spatial_dtype, test/test_nn.py::TestNN::test_softmax_spatial_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial_special, test/test_nn.py::TestNN::test_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_softmin, test/test_nn.py::TestNN::test_spectral_norm, test/test_nn.py::TestNN::test_spectral_norm_dim, test/test_nn.py::TestNN::test_spectral_norm_forward, test/test_nn.py::TestNN::test_spectral_norm_load_state_dict, test/test_nn.py::TestNN::test_spectral_norm_pickle, test/test_nn.py::TestNN::test_state_dict, test/test_nn.py::TestNN::test_swap_module_params_fails_after_forward, test/test_nn.py::TestNN::test_sync_batchnorm_accuracy_cuda, test/test_nn.py::TestNN::test_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_bfloat16_half, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, test/test_nn.py::TestNN::test_train_errors_for_invalid_mode, test/test_nn.py::TestNN::test_transformer_args_check, test/test_nn.py::TestNN::test_transformer_layer_args_check, test/test_nn.py::TestNN::test_transformerdecoder, test/test_nn.py::TestNN::test_transformerdecoderlayer, test/test_nn.py::TestNN::test_transformerdecoderlayer_gelu, test/test_nn.py::TestNN::test_triplet_margin_loss, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_triplet_margin_loss_swap_no_reduce, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_unflatten, test/test_nn.py::TestNN::test_unflatten_invalid_arg, test/test_nn.py::TestNN::test_unfold_invalid_arg, test/test_nn.py::TestNN::test_upsamplingBilinear2d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingLinear1d, test/test_nn.py::TestNN::test_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestNN::test_weight_norm, test/test_nn.py::TestNN::test_weight_norm_pickle, test/test_nn.py::TestNN::test_zero_grad, test/test_nn.py::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present, test/test_nn.py::TestNNDeviceTypeCPU::test_BatchNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Bilinear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_empty_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GRU_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_memory_format_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_raises_error_if_one_value_per_group_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm1d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm2d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm3d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LocalResponseNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_warnings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad1d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Transformer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Unfold_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_adaptiveavg_pool1d_shmem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate45_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate90_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_3d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_update_stats_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_channel_shuffle_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_error_if_nonfinite_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_errors_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_weight_ignore_indices_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_with_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_index_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_one_hot_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_all_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_device_mask_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_with_neg_alpha_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_fold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_glu_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_bfloat16_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_hardsigmoid_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_invalid_reduction_strings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_weight_bias_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_neg_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_zero_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_linear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_big_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_logsigmoid_out_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_lstmcell_backward_only_one_output_grad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_TxT_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_devices_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_forward_with_nans_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_mask_types_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_transformer_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_non_recursive_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_all_ignored_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_byte_target_matches_long_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_target_dim_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_mismatched_batch_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_out_of_bounds_ignore_index_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_total_weight_is_zero_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nonlinearity_propagate_nan_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_one_hot_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_overwrite_module_params_on_conversion_cpu_device_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_prelu_backward_32bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_replicatepad_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_retain_variables_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_save_lstm_compatibility_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_silu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_skip_init_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_vs_huber_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smoothl1loss_backward_zero_beta_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_forward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_results_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_low_threshold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_negative_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_threshold_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_fast_path_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_gelu_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_default_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_correctness_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_fail_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_rocm_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_rescale_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_variable_sequence_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float32 2024-04-03T16:46:09.1039015Z 2024-04-03T16:46:09.1039461Z Running test_cuda_primary_ctx 1/1 ... [2024-04-03 16:46:08.810745] 2024-04-03T16:46:09.1041353Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:46:08.811029] 2024-04-03T16:46:10.3079197Z 2024-04-03T16:46:10.3080720Z test_cuda_primary_ctx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_primary_ctx_1.1_9d83ccdcbd481d3b_.log 2024-04-03T16:46:10.3082449Z Running 0 items in this shard: 2024-04-03T16:46:10.3082704Z 2024-04-03T16:46:10.3083111Z Running nn/test_pooling 1/1 ... [2024-04-03 16:46:10.308119] 2024-04-03T16:46:10.3087520Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:46:10.308461] 2024-04-03T16:46:42.2795943Z 2024-04-03T16:46:42.2797841Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_8c317176a51a9edf_.log 2024-04-03T16:46:42.2880393Z Running 98 items in this shard: test/nn/test_pooling.py::TestAvgPool::test_avg_pool1d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool2d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool3d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d_with_divisor, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d_with_divisor, test/nn/test_pooling.py::TestPoolingNN::test_MaxUnpool2d_output_size, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_nhwc_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_backward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_forward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_non_contiguous, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_lower_precision, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_none, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_overflow, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool2d_nhwc_cpu, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool3d_input_check, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool1d_empty_kernel, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool2d_empty_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool3d_backward_after_cat_dim1_device_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case10_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case4_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case5_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case6_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case7_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case8_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case9_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool3d_non_square_backward_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool_indices_no_batch_dim_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_large_size_int64_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_size_one_feature_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_invalid_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_large_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_bfloat16_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu 2024-04-03T16:46:42.2956592Z 2024-04-03T16:46:42.2957077Z Running test_cuda_nvml_based_avail 1/1 ... [2024-04-03 16:46:42.279909] 2024-04-03T16:46:42.2958999Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:46:42.280210] 2024-04-03T16:46:43.8459116Z 2024-04-03T16:46:43.8460797Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_7e21efacc16642bd_.log 2024-04-03T16:46:43.8462298Z Running 0 items in this shard: 2024-04-03T16:46:43.8462569Z 2024-04-03T16:46:43.8463057Z Running test_dataloader 1/1 ... [2024-04-03 16:46:43.846085] 2024-04-03T16:46:43.8467351Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_dataloader.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:46:43.846425] 2024-04-03T16:49:37.9908005Z 2024-04-03T16:49:37.9910973Z test_dataloader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_1.1_0a64cd3c0617f8f8_.log 2024-04-03T16:49:38.0042881Z Running 178 items in this shard: test/test_dataloader.py::TestDatasetRandomSplit::test_incomplete_fractional_splits, test/test_dataloader.py::TestDatasetRandomSplit::test_lengths_must_equal_dataset_size, test/test_dataloader.py::TestDatasetRandomSplit::test_slicing_of_subset_of_dataset, test/test_dataloader.py::TestDatasetRandomSplit::test_slicing_of_subset_of_subset, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_are_mutually_exclusive, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_generator, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_have_correct_size, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_indexing_type, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_reproducibility, test/test_dataloader.py::TestTensorDataset::test_getitem, test/test_dataloader.py::TestTensorDataset::test_getitem_1d, test/test_dataloader.py::TestTensorDataset::test_len, test/test_dataloader.py::TestTensorDataset::test_many_tensors, test/test_dataloader.py::TestTensorDataset::test_single_tensor, test/test_dataloader.py::TestStackDataset::test_empty, test/test_dataloader.py::TestStackDataset::test_getitem, test/test_dataloader.py::TestStackDataset::test_getitems, test/test_dataloader.py::TestStackDataset::test_getitems_raises_index_error, test/test_dataloader.py::TestStackDataset::test_getitems_value_error, test/test_dataloader.py::TestStackDataset::test_len, test/test_dataloader.py::TestStackDataset::test_mixed, test/test_dataloader.py::TestStackDataset::test_single, test/test_dataloader.py::TestStackDataset::test_size_mismatch, test/test_dataloader.py::TestConcatDataset::test_add_dataset, test/test_dataloader.py::TestConcatDataset::test_concat_raises_index_error, test/test_dataloader.py::TestConcatDataset::test_concat_two_non_singletons, test/test_dataloader.py::TestConcatDataset::test_concat_two_non_singletons_with_empty, test/test_dataloader.py::TestConcatDataset::test_concat_two_singletons, test/test_dataloader.py::TestConcatDataset::test_iterable_dataset_err, test/test_dataloader.py::TestDataLoader::test_batch_sampler, test/test_dataloader.py::TestDataLoader::test_builtin_collection_conversion, test/test_dataloader.py::TestDataLoader::test_bulk_loading_nobatch, test/test_dataloader.py::TestDataLoader::test_chain_iterable_style_dataset, test/test_dataloader.py::TestDataLoader::test_default_collate_bad_numpy_types, test/test_dataloader.py::TestDataLoader::test_default_collate_bad_sequence_type, test/test_dataloader.py::TestDataLoader::test_default_collate_dtype, test/test_dataloader.py::TestDataLoader::test_default_collate_mapping_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_numpy_memmap, test/test_dataloader.py::TestDataLoader::test_default_collate_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_sequence_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_shared_tensor, test/test_dataloader.py::TestDataLoader::test_default_convert_mapping_keep_type, test/test_dataloader.py::TestDataLoader::test_default_convert_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoader::test_default_convert_sequence_keep_type, test/test_dataloader.py::TestDataLoader::test_distributed_sampler_invalid_rank, test/test_dataloader.py::TestDataLoader::test_duplicating_data_with_drop_last, test/test_dataloader.py::TestDataLoader::test_error, test/test_dataloader.py::TestDataLoader::test_error_in_init, test/test_dataloader.py::TestDataLoader::test_error_workers, test/test_dataloader.py::TestDataLoader::test_excessive_thread_creation_warning, test/test_dataloader.py::TestDataLoader::test_fd_limit_exceeded, test/test_dataloader.py::TestDataLoader::test_get_worker_info, test/test_dataloader.py::TestDataLoader::test_growing_dataset, test/test_dataloader.py::TestDataLoader::test_invalid_assign_after_init, test/test_dataloader.py::TestDataLoader::test_invalid_ctor_args_combinations, test/test_dataloader.py::TestDataLoader::test_iterable_style_dataset, test/test_dataloader.py::TestDataLoader::test_iterabledataset_len, test/test_dataloader.py::TestDataLoader::test_large_sampler_indices, test/test_dataloader.py::TestDataLoader::test_len, test/test_dataloader.py::TestDataLoader::test_multi_epochs_reproducibility, test/test_dataloader.py::TestDataLoader::test_multiple_dataloaders, test/test_dataloader.py::TestDataLoader::test_multiprocessing_contexts, test/test_dataloader.py::TestDataLoader::test_multiprocessing_iterdatapipe, test/test_dataloader.py::TestDataLoader::test_multiprocessing_iterdatapipe_with_dill, test/test_dataloader.py::TestDataLoader::test_no_segfault, test/test_dataloader.py::TestDataLoader::test_numpy, test/test_dataloader.py::TestDataLoader::test_numpy_gen_state, test/test_dataloader.py::TestDataLoader::test_numpy_scalars, test/test_dataloader.py::TestDataLoader::test_partial_workers, test/test_dataloader.py::TestDataLoader::test_proper_exit, test/test_dataloader.py::TestDataLoader::test_random_sampler, test/test_dataloader.py::TestDataLoader::test_random_sampler_len_with_replacement, test/test_dataloader.py::TestDataLoader::test_random_sampler_len_without_replacement, test/test_dataloader.py::TestDataLoader::test_sampler, test/test_dataloader.py::TestDataLoader::test_sampler_reproducibility, test/test_dataloader.py::TestDataLoader::test_segfault, test/test_dataloader.py::TestDataLoader::test_seqential_batch_workers, test/test_dataloader.py::TestDataLoader::test_seqential_batch_workers_prefetch, test/test_dataloader.py::TestDataLoader::test_sequential_batch, test/test_dataloader.py::TestDataLoader::test_sequential_nonbatch, test/test_dataloader.py::TestDataLoader::test_sequential_pin_memory, test/test_dataloader.py::TestDataLoader::test_sequential_workers, test/test_dataloader.py::TestDataLoader::test_shuffle, test/test_dataloader.py::TestDataLoader::test_shuffle_batch, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_none, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_workers, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_workers_prefetch, test/test_dataloader.py::TestDataLoader::test_shuffle_pin_memory, test/test_dataloader.py::TestDataLoader::test_shuffle_reproducibility, test/test_dataloader.py::TestDataLoader::test_shuffle_workers, test/test_dataloader.py::TestDataLoader::test_timeout, test/test_dataloader.py::TestDataLoader::test_typing, test/test_dataloader.py::TestDataLoader::test_worker_init_fn, test/test_dataloader.py::TestDataLoader::test_worker_seed, test/test_dataloader.py::TestDataLoader::test_worker_seed_reproducibility, test/test_dataloader.py::IntegrationTestDataLoaderDataPipe::test_shuffler_iterdatapipe, test/test_dataloader.py::TestStringDataLoader::test_shuffle_pin_memory, test/test_dataloader.py::TestDictDataLoader::test_pin_memory, test/test_dataloader.py::TestDictDataLoader::test_pin_memory_device, test/test_dataloader.py::TestDictDataLoader::test_pin_memory_with_only_device, test/test_dataloader.py::TestDictDataLoader::test_sequential_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_batch_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_builtin_collection_conversion, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_bulk_loading_nobatch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_chain_iterable_style_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_dataset_not_reset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_bad_numpy_types, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_bad_sequence_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_dtype, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_mapping_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_numpy_memmap, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_sequence_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_shared_tensor, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_mapping_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_sequence_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_distributed_sampler_invalid_rank, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_duplicating_data_with_drop_last, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_early_exit, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error_in_init, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_excessive_thread_creation_warning, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_fd_limit_exceeded, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_get_worker_info, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_growing_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_invalid_assign_after_init, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_invalid_ctor_args_combinations, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_iterable_style_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_iterabledataset_len, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_large_sampler_indices, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_len, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multi_epochs_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiple_dataloaders, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_contexts, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_iterdatapipe, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_iterdatapipe_with_dill, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_no_segfault, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy_gen_state, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy_scalars, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_partial_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_proper_exit, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler_len_with_replacement, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler_len_without_replacement, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sampler_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_segfault, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_seqential_batch_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_seqential_batch_workers_prefetch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_nonbatch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_pin_memory, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_none, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_workers_prefetch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_pin_memory, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_timeout, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_typing, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_init_fn, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_seed, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_seed_reproducibility, test/test_dataloader.py::TestNamedTupleDataLoader::test_dataloader_with_namedtuple, test/test_dataloader.py::TestCustomPinFn::test_custom_batch_pin, test/test_dataloader.py::TestCustomPinFn::test_custom_batch_pin_worker, test/test_dataloader.py::TestIndividualWorkerQueue::test_ind_worker_queue, test/test_dataloader.py::TestSetAffinity::test_set_affinity_in_worker_init, test/test_dataloader.py::TestConvAfterFork::test_conv_after_fork, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_nested_tensor_multiprocessing_context_fork_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_nested_tensor_multiprocessing_context_forkserver_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_nested_tensor_multiprocessing_context_spawn_cpu 2024-04-03T16:49:38.0120034Z 2024-04-03T16:49:38.0120453Z Running test_sparse_csr 1/1 ... [2024-04-03 16:49:37.991269] 2024-04-03T16:49:38.0122197Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_sparse_csr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:49:37.991559] 2024-04-03T16:53:19.1190745Z 2024-04-03T16:53:19.1191978Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_3d7125ade2367192_.log 2024-04-03T16:53:19.3589072Z Running 4680 items in this shard: test/test_sparse_csr.py::TestSparseCSRSampler::test_make_crow_indices, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSR_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSC_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSC_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSR_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSR_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSR_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_errors_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cpu_float32, 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test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_uint8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_TensorAsKey, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_dense_bmm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_dense_bmm_error_messages, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_scatter_mm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_softmax, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_kernel, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_sampled_addmm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_scaled_dot_product_attention, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_scatter_mm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_tune 2024-04-03T16:53:19.6353951Z 2024-04-03T16:53:19.6354420Z Running test_spectral_ops 1/1 ... [2024-04-03 16:53:19.125520] 2024-04-03T16:53:19.6356190Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:53:19.125803] 2024-04-03T16:53:28.4039958Z 2024-04-03T16:53:28.4042617Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_8baa20c3d27b8f57_.log 2024-04-03T16:53:28.4224347Z Running 280 items in this shard: test/test_spectral_ops.py::TestFFTCPU::test_batch_istft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_istft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_definition_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_onesided_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_plan_cache_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_complex64, 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test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_stft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_complex_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_window_device_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_hfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ihfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftn_cpu 2024-04-03T16:53:28.4391592Z 2024-04-03T16:53:28.4392161Z Running distributions/test_distributions 1/1 ... [2024-04-03 16:53:28.404496] 2024-04-03T16:53:28.4394131Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:53:28.404804] 2024-04-03T16:54:13.9347051Z 2024-04-03T16:54:13.9349286Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_9bd418ffa96a895f_.log 2024-04-03T16:54:13.9459945Z Running 225 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, test/distributions/test_distributions.py::TestDistributions::test_binomial_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_binomial_extreme_vals, test/distributions/test_distributions.py::TestDistributions::test_binomial_half, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_stable, test/distributions/test_distributions.py::TestDistributions::test_binomial_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_cauchy, test/distributions/test_distributions.py::TestDistributions::test_cdf_icdf_inverse, test/distributions/test_distributions.py::TestDistributions::test_cdf_log_prob, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, test/distributions/test_distributions.py::TestDistributions::test_chi2_shape, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob_zero, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_mode, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributions::test_distribution_expand, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_expand, test/distributions/test_distributions.py::TestDistributions::test_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_exponential, test/distributions/test_distributions.py::TestDistributions::test_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_shape, test/distributions/test_distributions.py::TestDistributions::test_gamma_log_prob_at_boundary, test/distributions/test_distributions.py::TestDistributions::test_gamma_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_shape, test/distributions/test_distributions.py::TestDistributions::test_geometric, test/distributions/test_distributions.py::TestDistributions::test_geometric_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_geometric_sample, test/distributions/test_distributions.py::TestDistributions::test_gumbel, test/distributions/test_distributions.py::TestDistributions::test_gumbel_sample, test/distributions/test_distributions.py::TestDistributions::test_halfcauchy, test/distributions/test_distributions.py::TestDistributions::test_halfnormal, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_has_examples, test/distributions/test_distributions.py::TestDistributions::test_independent_expand, test/distributions/test_distributions.py::TestDistributions::test_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_inversegamma_sample, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_laplace, test/distributions/test_distributions.py::TestDistributions::test_laplace_sample, test/distributions/test_distributions.py::TestDistributions::test_lazy_property_grad, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributions::test_mode, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_2d, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_normal, test/distributions/test_distributions.py::TestDistributions::test_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_pareto, test/distributions/test_distributions.py::TestDistributions::test_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, test/distributions/test_distributions.py::TestDistributions::test_poisson_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_log_prob, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_shape, test/distributions/test_distributions.py::TestDistributions::test_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_repr, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_rsample_requires_grad, test/distributions/test_distributions.py::TestDistributions::test_sample_detached, test/distributions/test_distributions.py::TestDistributions::test_studentT, test/distributions/test_distributions.py::TestDistributions::test_studentT_log_prob, test/distributions/test_distributions.py::TestDistributions::test_studentT_sample, test/distributions/test_distributions.py::TestDistributions::test_support_attributes, test/distributions/test_distributions.py::TestDistributions::test_uniform, test/distributions/test_distributions.py::TestDistributions::test_valid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_vonmises_logprob, test/distributions/test_distributions.py::TestDistributions::test_vonmises_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_log_prob, test/distributions/test_distributions.py::TestDistributions::test_wishart_moments, test/distributions/test_distributions.py::TestDistributions::test_wishart_properties, test/distributions/test_distributions.py::TestDistributions::test_wishart_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_shape, test/distributions/test_distributions.py::TestDistributions::test_wishart_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_zero_excluded_binomial, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_alpha, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_beta, test/distributions/test_distributions.py::TestRsample::test_chi2, test/distributions/test_distributions.py::TestRsample::test_dirichlet_multivariate, test/distributions/test_distributions.py::TestRsample::test_dirichlet_on_diagonal, test/distributions/test_distributions.py::TestRsample::test_dirichlet_tangent_field, test/distributions/test_distributions.py::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape_vectorized_n, test/distributions/test_distributions.py::TestDistributionShapes::test_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_entropy_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_scalar_param, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_tensor_param, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gumbel_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_kumaraswamy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_mean_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_multinomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_one_hot_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_pareto_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_weibull_scale_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_tensor_params, test/distributions/test_distributions.py::TestKL::test_entropy_exponential_family, test/distributions/test_distributions.py::TestKL::test_entropy_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_infinite, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched_broadcasted, test/distributions/test_distributions.py::TestKL::test_kl_shape, test/distributions/test_distributions.py::TestKL::test_kl_transformed, test/distributions/test_distributions.py::TestConstraints::test_params_constraints, test/distributions/test_distributions.py::TestConstraints::test_support_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob_with_logits, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob_with_logits, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_probs_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_cdf, test/distributions/test_distributions.py::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestValidation::test_invalid_log_probs_arg, test/distributions/test_distributions.py::TestValidation::test_valid, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints, test/distributions/test_distributions.py::TestJit::test_cdf, test/distributions/test_distributions.py::TestJit::test_entropy, test/distributions/test_distributions.py::TestJit::test_enumerate_support, test/distributions/test_distributions.py::TestJit::test_log_prob, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_sample, test/distributions/test_distributions.py::TestJit::test_variance 2024-04-03T16:54:13.9565556Z 2024-04-03T16:54:13.9565923Z Running doctests 1/1 ... [2024-04-03 16:54:13.935191] 2024-04-03T16:54:13.9566725Z Start doctest_module('/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch') 2024-04-03T16:54:13.9567348Z Listing tests 2024-04-03T16:54:14.2298411Z msg = Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py line=404. 2024-04-03T16:54:14.2300522Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:14.2301371Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors. 2024-04-03T16:54:14.2301908Z 2024-04-03T16:54:14.2302336Z This is helpful when you want to visualize data over some 2024-04-03T16:54:14.2302956Z range of inputs. See below for a plotting example. 2024-04-03T16:54:14.2303336Z 2024-04-03T16:54:14.2303631Z Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as 2024-04-03T16:54:14.2304315Z inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`, 2024-04-03T16:54:14.2305219Z this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots 2024-04-03T16:54:14.2306017Z G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where 2024-04-03T16:54:14.2306693Z the output :math:`G_i` is constructed by expanding :math:`T_i` 2024-04-03T16:54:14.2307221Z to the result shape. 2024-04-03T16:54:14.2307465Z 2024-04-03T16:54:14.2307583Z .. note:: 2024-04-03T16:54:14.2307985Z 0D inputs are treated equivalently to 1D inputs of a 2024-04-03T16:54:14.2308462Z single element. 2024-04-03T16:54:14.2308695Z 2024-04-03T16:54:14.2308797Z .. warning:: 2024-04-03T16:54:14.2309229Z `torch.meshgrid(*tensors)` currently has the same behavior 2024-04-03T16:54:14.2309961Z as calling `numpy.meshgrid(*arrays, indexing='ij')`. 2024-04-03T16:54:14.2310340Z 2024-04-03T16:54:14.2310541Z In the future `torch.meshgrid` will transition to 2024-04-03T16:54:14.2311095Z `indexing='xy'` as the default. 2024-04-03T16:54:14.2311390Z 2024-04-03T16:54:14.2311649Z https://github.com/pytorch/pytorch/issues/50276 tracks 2024-04-03T16:54:14.2312333Z this issue with the goal of migrating to NumPy's behavior. 2024-04-03T16:54:14.2312747Z 2024-04-03T16:54:14.2312853Z .. seealso:: 2024-04-03T16:54:14.2313042Z 2024-04-03T16:54:14.2313277Z :func:`torch.cartesian_prod` has the same effect but it 2024-04-03T16:54:14.2313880Z collects the data in a tensor of vectors. 2024-04-03T16:54:14.2314224Z 2024-04-03T16:54:14.2314320Z Args: 2024-04-03T16:54:14.2314843Z tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be 2024-04-03T16:54:14.2315576Z treated as tensors of size :math:`(1,)` automatically 2024-04-03T16:54:14.2316082Z 2024-04-03T16:54:14.2316428Z indexing: (str, optional): the indexing mode, either "xy" 2024-04-03T16:54:14.2317327Z or "ij", defaults to "ij". See warning for future changes. 2024-04-03T16:54:14.2317878Z 2024-04-03T16:54:14.2318249Z If "xy" is selected, the first dimension corresponds 2024-04-03T16:54:14.2319314Z to the cardinality of the second input and the second 2024-04-03T16:54:14.2319948Z dimension corresponds to the cardinality of the first 2024-04-03T16:54:14.2320438Z input. 2024-04-03T16:54:14.2320626Z 2024-04-03T16:54:14.2320836Z If "ij" is selected, the dimensions are in the same 2024-04-03T16:54:14.2321376Z order as the cardinality of the inputs. 2024-04-03T16:54:14.2321704Z 2024-04-03T16:54:14.2321820Z Returns: 2024-04-03T16:54:14.2322195Z seq (sequence of Tensors): If the input has :math:`N` 2024-04-03T16:54:14.2322873Z tensors of size :math:`S_0 \ldots S_{N-1}``, then the 2024-04-03T16:54:14.2323486Z output will also have :math:`N` tensors, where each tensor 2024-04-03T16:54:14.2324089Z is of shape :math:`(S_0, ..., S_{N-1})`. 2024-04-03T16:54:14.2324427Z 2024-04-03T16:54:14.2324535Z Example:: 2024-04-03T16:54:14.2324717Z 2024-04-03T16:54:14.2324856Z >>> x = torch.tensor([1, 2, 3]) 2024-04-03T16:54:14.2325286Z >>> y = torch.tensor([4, 5, 6]) 2024-04-03T16:54:14.2325572Z 2024-04-03T16:54:14.2325878Z Observe the element-wise pairings across the grid, (1, 4), 2024-04-03T16:54:14.2326475Z (1, 5), ..., (3, 6). This is the same thing as the 2024-04-03T16:54:14.2326936Z cartesian product. 2024-04-03T16:54:14.2327434Z >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij') 2024-04-03T16:54:14.2327913Z >>> grid_x 2024-04-03T16:54:14.2328222Z tensor([[1, 1, 1], 2024-04-03T16:54:14.2328545Z [2, 2, 2], 2024-04-03T16:54:14.2328875Z [3, 3, 3]]) 2024-04-03T16:54:14.2329206Z >>> grid_y 2024-04-03T16:54:14.2329491Z tensor([[4, 5, 6], 2024-04-03T16:54:14.2329818Z [4, 5, 6], 2024-04-03T16:54:14.2330256Z [4, 5, 6]]) 2024-04-03T16:54:14.2330560Z 2024-04-03T16:54:14.2330779Z This correspondence can be seen when these grids are 2024-04-03T16:54:14.2331281Z stacked properly. 2024-04-03T16:54:14.2331781Z >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))), 2024-04-03T16:54:14.2332372Z ... torch.cartesian_prod(x, y)) 2024-04-03T16:54:14.2332803Z True 2024-04-03T16:54:14.2332969Z 2024-04-03T16:54:14.2333208Z `torch.meshgrid` is commonly used to produce a grid for 2024-04-03T16:54:14.2333688Z plotting. 2024-04-03T16:54:14.2334170Z >>> # xdoctest: +REQUIRES(module:matplotlib) 2024-04-03T16:54:14.2334733Z >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW) 2024-04-03T16:54:14.2335226Z >>> import matplotlib.pyplot as plt 2024-04-03T16:54:14.2335759Z >>> xs = torch.linspace(-5, 5, steps=100) 2024-04-03T16:54:14.2336293Z >>> ys = torch.linspace(-5, 5, steps=100) 2024-04-03T16:54:14.2336851Z >>> x, y = torch.meshgrid(xs, ys, indexing='xy') 2024-04-03T16:54:14.2337352Z >>> z = torch.sin(torch.sqrt(x * x + y * y)) 2024-04-03T16:54:14.2337873Z >>> ax = plt.axes(projection='3d') 2024-04-03T16:54:14.2338383Z >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy()) 2024-04-03T16:54:14.2338892Z >>> plt.show() 2024-04-03T16:54:14.2339125Z 2024-04-03T16:54:14.2339277Z .. image:: ../_static/img/meshgrid.png 2024-04-03T16:54:14.2339684Z :width: 512 2024-04-03T16:54:14.2339880Z 2024-04-03T16:54:14.2339971Z 2024-04-03T16:54:14.2340500Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:14.2340983Z 2024-04-03T16:54:14.2341816Z msg = Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py line=763. 2024-04-03T16:54:14.2343231Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:14.2344306Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> Tuple[Tensor, Tensor, Tensor] 2024-04-03T16:54:14.2344955Z 2024-04-03T16:54:14.2345160Z Returns the unique elements of the input tensor. 2024-04-03T16:54:14.2345507Z 2024-04-03T16:54:14.2345909Z .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that 2024-04-03T16:54:14.2346794Z this function also eliminates non-consecutive duplicate values. 2024-04-03T16:54:14.2347221Z 2024-04-03T16:54:14.2347542Z .. note:: Currently in the CUDA implementation and the CPU implementation, 2024-04-03T16:54:14.2348407Z `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument. 2024-04-03T16:54:14.2349366Z Sorting could be slow, so if your input tensor is already sorted, it is recommended to use 2024-04-03T16:54:14.2350166Z :func:`torch.unique_consecutive` which avoids the sorting. 2024-04-03T16:54:14.2350563Z 2024-04-03T16:54:14.2350670Z Args: 2024-04-03T16:54:14.2350944Z input (Tensor): the input tensor 2024-04-03T16:54:14.2351524Z sorted (bool): Whether to sort the unique elements in ascending order 2024-04-03T16:54:14.2352109Z before returning as output. 2024-04-03T16:54:14.2352660Z return_inverse (bool): Whether to also return the indices for where 2024-04-03T16:54:14.2353397Z elements in the original input ended up in the returned unique list. 2024-04-03T16:54:14.2354155Z return_counts (bool): Whether to also return the counts for each unique 2024-04-03T16:54:14.2354705Z element. 2024-04-03T16:54:14.2355171Z dim (int, optional): the dimension to operate upon. If ``None``, the 2024-04-03T16:54:14.2355902Z unique of the flattened input is returned. Otherwise, each of the 2024-04-03T16:54:14.2356685Z tensors indexed by the given dimension is treated as one of the 2024-04-03T16:54:14.2357459Z elements to apply the unique operation upon. See examples for more 2024-04-03T16:54:14.2358039Z details. Default: ``None`` 2024-04-03T16:54:14.2358312Z 2024-04-03T16:54:14.2358422Z Returns: 2024-04-03T16:54:14.2358953Z (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing 2024-04-03T16:54:14.2359510Z 2024-04-03T16:54:14.2359834Z - **output** (*Tensor*): the output list of unique scalar elements. 2024-04-03T16:54:14.2360494Z - **inverse_indices** (*Tensor*): (optional) if 2024-04-03T16:54:14.2361066Z :attr:`return_inverse` is True, there will be an additional 2024-04-03T16:54:14.2361799Z returned tensor (same shape as input) representing the indices 2024-04-03T16:54:14.2362503Z for where elements in the original input map to in the output; 2024-04-03T16:54:14.2363168Z otherwise, this function will only return a single tensor. 2024-04-03T16:54:14.2363780Z - **counts** (*Tensor*): (optional) if 2024-04-03T16:54:14.2364335Z :attr:`return_counts` is True, there will be an additional 2024-04-03T16:54:14.2364980Z returned tensor (same shape as output or output.size(dim), 2024-04-03T16:54:14.2365670Z if dim was specified) representing the number of occurrences 2024-04-03T16:54:14.2366240Z for each unique value or tensor. 2024-04-03T16:54:14.2366541Z 2024-04-03T16:54:14.2366657Z Example:: 2024-04-03T16:54:14.2366816Z 2024-04-03T16:54:14.2367099Z >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long)) 2024-04-03T16:54:14.2367647Z >>> output 2024-04-03T16:54:14.2367928Z tensor([1, 2, 3]) 2024-04-03T16:54:14.2368133Z 2024-04-03T16:54:14.2368294Z >>> output, inverse_indices = torch.unique( 2024-04-03T16:54:14.2368957Z ... torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True) 2024-04-03T16:54:14.2369553Z >>> output 2024-04-03T16:54:14.2369829Z tensor([1, 2, 3]) 2024-04-03T16:54:14.2370147Z >>> inverse_indices 2024-04-03T16:54:14.2370476Z tensor([0, 2, 1, 2]) 2024-04-03T16:54:14.2370692Z 2024-04-03T16:54:14.2370853Z >>> output, inverse_indices = torch.unique( 2024-04-03T16:54:14.2371523Z ... torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True) 2024-04-03T16:54:14.2372120Z >>> output 2024-04-03T16:54:14.2372402Z tensor([1, 2, 3]) 2024-04-03T16:54:14.2372707Z >>> inverse_indices 2024-04-03T16:54:14.2373034Z tensor([[0, 2], 2024-04-03T16:54:14.2373325Z [1, 2]]) 2024-04-03T16:54:14.2373534Z 2024-04-03T16:54:14.2373648Z >>> a = torch.tensor([ 2024-04-03T16:54:14.2373987Z ... [ 2024-04-03T16:54:14.2374366Z ... [1, 1, 0, 0], 2024-04-03T16:54:14.2374702Z ... [1, 1, 0, 0], 2024-04-03T16:54:14.2375057Z ... [0, 0, 1, 1], 2024-04-03T16:54:14.2375394Z ... ], 2024-04-03T16:54:14.2375651Z ... [ 2024-04-03T16:54:14.2375929Z ... [0, 0, 1, 1], 2024-04-03T16:54:14.2376261Z ... [0, 0, 1, 1], 2024-04-03T16:54:14.2376602Z ... [1, 1, 1, 1], 2024-04-03T16:54:14.2376935Z ... ], 2024-04-03T16:54:14.2377192Z ... [ 2024-04-03T16:54:14.2377469Z ... [1, 1, 0, 0], 2024-04-03T16:54:14.2377815Z ... [1, 1, 0, 0], 2024-04-03T16:54:14.2378142Z ... [0, 0, 1, 1], 2024-04-03T16:54:14.2378472Z ... ], 2024-04-03T16:54:14.2378737Z ... ]) 2024-04-03T16:54:14.2378898Z 2024-04-03T16:54:14.2379213Z >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]` 2024-04-03T16:54:14.2379964Z >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match 2024-04-03T16:54:14.2380651Z >>> # each other, so one of them will be removed. 2024-04-03T16:54:14.2381169Z >>> (a[0, :, :] == a[2, :, :]).all() 2024-04-03T16:54:14.2381552Z tensor(True) 2024-04-03T16:54:14.2381903Z >>> a_unique_dim0 = torch.unique(a, dim=0) 2024-04-03T16:54:14.2382505Z >>> a_unique_dim0 2024-04-03T16:54:14.2382818Z tensor([[[0, 0, 1, 1], 2024-04-03T16:54:14.2383154Z [0, 0, 1, 1], 2024-04-03T16:54:14.2383489Z [1, 1, 1, 1]], 2024-04-03T16:54:14.2383816Z [[1, 1, 0, 0], 2024-04-03T16:54:14.2384146Z [1, 1, 0, 0], 2024-04-03T16:54:14.2384474Z [0, 0, 1, 1]]]) 2024-04-03T16:54:14.2384706Z 2024-04-03T16:54:14.2385073Z >>> # Notice which sub-tensors from `a` match with the sub-tensors from 2024-04-03T16:54:14.2385751Z >>> # `a_unique_dim0`: 2024-04-03T16:54:14.2386153Z >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all() 2024-04-03T16:54:14.2386569Z tensor(True) 2024-04-03T16:54:14.2386927Z >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all() 2024-04-03T16:54:14.2387351Z tensor(True) 2024-04-03T16:54:14.2387533Z 2024-04-03T16:54:14.2387817Z >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are 2024-04-03T16:54:14.2388526Z >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of 2024-04-03T16:54:14.2389121Z >>> # them will be removed. 2024-04-03T16:54:14.2389511Z >>> (a[:, 0, :] == a[:, 1, :]).all() 2024-04-03T16:54:14.2389902Z tensor(True) 2024-04-03T16:54:14.2390210Z >>> torch.unique(a, dim=1) 2024-04-03T16:54:14.2390566Z tensor([[[0, 0, 1, 1], 2024-04-03T16:54:14.2390901Z [1, 1, 0, 0]], 2024-04-03T16:54:14.2391242Z [[1, 1, 1, 1], 2024-04-03T16:54:14.2391558Z [0, 0, 1, 1]], 2024-04-03T16:54:14.2391897Z [[0, 0, 1, 1], 2024-04-03T16:54:14.2392224Z [1, 1, 0, 0]]]) 2024-04-03T16:54:14.2392455Z 2024-04-03T16:54:14.2392752Z >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared. 2024-04-03T16:54:14.2393455Z >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and 2024-04-03T16:54:14.2394111Z >>> # `a[:, :, 3]` match each other as well. So in this case, two of the 2024-04-03T16:54:14.2394715Z >>> # sub-tensors will be removed. 2024-04-03T16:54:14.2395136Z >>> (a[:, :, 0] == a[:, :, 1]).all() 2024-04-03T16:54:14.2395523Z tensor(True) 2024-04-03T16:54:14.2395843Z >>> (a[:, :, 2] == a[:, :, 3]).all() 2024-04-03T16:54:14.2396216Z tensor(True) 2024-04-03T16:54:14.2396526Z >>> torch.unique(a, dim=2) 2024-04-03T16:54:14.2396891Z tensor([[[0, 1], 2024-04-03T16:54:14.2397181Z [0, 1], 2024-04-03T16:54:14.2397479Z [1, 0]], 2024-04-03T16:54:14.2397781Z [[1, 0], 2024-04-03T16:54:14.2398062Z [1, 0], 2024-04-03T16:54:14.2398358Z [1, 1]], 2024-04-03T16:54:14.2398665Z [[0, 1], 2024-04-03T16:54:14.2398950Z [0, 1], 2024-04-03T16:54:14.2399246Z [1, 0]]]) 2024-04-03T16:54:14.2399543Z 2024-04-03T16:54:14.2400054Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:14.2400548Z 2024-04-03T16:54:14.2568228Z msg = Cannot scrape callname=impl_abstract in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=384. 2024-04-03T16:54:14.2569438Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:14.2570137Z Register an abstract implementation for this operator. 2024-04-03T16:54:14.2570522Z 2024-04-03T16:54:14.2570859Z An "abstract implementation" specifies the behavior of this operator on 2024-04-03T16:54:14.2571664Z Tensors that carry no data. Given some input Tensors with certain properties 2024-04-03T16:54:14.2572485Z (sizes/strides/storage_offset/device), it specifies what the properties of 2024-04-03T16:54:14.2573195Z the output Tensors are. 2024-04-03T16:54:14.2573478Z 2024-04-03T16:54:14.2573766Z The abstract implementation has the same signature as the operator. 2024-04-03T16:54:14.2574588Z It is run for both FakeTensors and meta tensors. To write an abstract 2024-04-03T16:54:14.2575303Z implementation, assume that all Tensor inputs to the operator are 2024-04-03T16:54:14.2576023Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2024-04-03T16:54:14.2576734Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2024-04-03T16:54:14.2577466Z The abstract implementation must consist of only PyTorch operations 2024-04-03T16:54:14.2578219Z (and may not directly access the storage or data of any input or 2024-04-03T16:54:14.2578772Z intermediate Tensors). 2024-04-03T16:54:14.2578989Z 2024-04-03T16:54:14.2579203Z This API may be used as a decorator (see examples). 2024-04-03T16:54:14.2579557Z 2024-04-03T16:54:14.2579737Z For a detailed guide on custom ops, please see 2024-04-03T16:54:14.2580589Z https://docs.google.com/document/d/1W--T6wz8IY8fOI0Vm8BF44PdBgs283QvpelJZWieQWQ/edit 2024-04-03T16:54:14.2581167Z 2024-04-03T16:54:14.2581278Z Examples: 2024-04-03T16:54:14.2581539Z >>> import torch 2024-04-03T16:54:14.2581867Z >>> import numpy as np 2024-04-03T16:54:14.2582477Z >>> from torch import Tensor 2024-04-03T16:54:14.2582840Z >>> 2024-04-03T16:54:14.2583313Z >>> # Example 1: an operator without data-dependent output shape 2024-04-03T16:54:14.2583851Z >>> torch.library.define( 2024-04-03T16:54:14.2584241Z >>> "mylib::custom_linear", 2024-04-03T16:54:14.2584792Z >>> "(Tensor x, Tensor weight, Tensor bias) -> Tensor") 2024-04-03T16:54:14.2585254Z >>> 2024-04-03T16:54:14.2585613Z >>> @torch.library.impl_abstract("mylib::custom_linear") 2024-04-03T16:54:14.2586152Z >>> def custom_linear_abstract(x, weight): 2024-04-03T16:54:14.2586600Z >>> assert x.dim() == 2 2024-04-03T16:54:14.2586996Z >>> assert weight.dim() == 2 2024-04-03T16:54:14.2587394Z >>> assert bias.dim() == 1 2024-04-03T16:54:14.2587833Z >>> assert x.shape[1] == weight.shape[1] 2024-04-03T16:54:14.2588329Z >>> assert weight.shape[0] == bias.shape[0] 2024-04-03T16:54:14.2588796Z >>> assert x.device == weight.device 2024-04-03T16:54:14.2589204Z >>> 2024-04-03T16:54:14.2589497Z >>> return (x @ weight.t()) + bias 2024-04-03T16:54:14.2589885Z >>> 2024-04-03T16:54:14.2590330Z >>> # Example 2: an operator with data-dependent output shape 2024-04-03T16:54:14.2591096Z >>> torch.library.define("mylib::custom_nonzero", "(Tensor x) -> Tensor") 2024-04-03T16:54:14.2591639Z >>> 2024-04-03T16:54:14.2592009Z >>> @torch.library.impl_abstract("mylib::custom_nonzero") 2024-04-03T16:54:14.2592525Z >>> def custom_nonzero_abstract(x): 2024-04-03T16:54:14.2593068Z >>> # Number of nonzero-elements is data-dependent. 2024-04-03T16:54:14.2593662Z >>> # Since we cannot peek at the data in an abstract impl, 2024-04-03T16:54:14.2594272Z >>> # we use the ctx object to construct a new symint that 2024-04-03T16:54:14.2594859Z >>> # represents the data-dependent size. 2024-04-03T16:54:14.2595336Z >>> ctx = torch.library.get_ctx() 2024-04-03T16:54:14.2595783Z >>> nnz = ctx.new_dynamic_size() 2024-04-03T16:54:14.2596193Z >>> shape = [nnz, x.dim()] 2024-04-03T16:54:14.2596663Z >>> result = x.new_empty(shape, dtype=torch.int64) 2024-04-03T16:54:14.2597128Z >>> return result 2024-04-03T16:54:14.2597441Z >>> 2024-04-03T16:54:14.2597802Z >>> @torch.library.impl("mylib::custom_nonzero", "cpu") 2024-04-03T16:54:14.2598302Z >>> def custom_nonzero_cpu(x): 2024-04-03T16:54:14.2598682Z >>> x_np = x.numpy() 2024-04-03T16:54:14.2599150Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2024-04-03T16:54:14.2599729Z >>> return torch.tensor(res, device=x.device) 2024-04-03T16:54:14.2600061Z 2024-04-03T16:54:14.2600163Z 2024-04-03T16:54:14.2600669Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:14.2601164Z 2024-04-03T16:54:14.4221711Z msg = Cannot scrape callname=is_compiling in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py line=158. 2024-04-03T16:54:14.4223221Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-04-03T16:54:14.4223702Z 2024-04-03T16:54:14.4224125Z Indicates whether a graph is executed/traced as part of torch.compile() or torch.export(). 2024-04-03T16:54:14.4224874Z 2024-04-03T16:54:14.4225278Z Note that there are 2 other related flags that should deprecated eventually: 2024-04-03T16:54:14.4226041Z * torch._dynamo.external_utils.is_compiling() 2024-04-03T16:54:14.4226567Z * torch._utils.is_compiling() 2024-04-03T16:54:14.4226823Z 2024-04-03T16:54:14.4226933Z Example:: 2024-04-03T16:54:14.4227092Z 2024-04-03T16:54:14.4227208Z >>> def forward(self, x): 2024-04-03T16:54:14.4227609Z >>> if not torch.compiler.is_compiling(): 2024-04-03T16:54:14.4228171Z >>> ...logic that is not needed in a compiled/traced graph... 2024-04-03T16:54:14.4228649Z >>> 2024-04-03T16:54:14.4228983Z >>> ...rest of the function... 2024-04-03T16:54:14.4229257Z 2024-04-03T16:54:14.4230014Z Original Error: SyntaxError('invalid syntax', ('', 3, 11, ' ...logic that is not needed in a compiled/traced graph...\n', 3, 16)) 2024-04-03T16:54:14.4230787Z 2024-04-03T16:54:14.4231014Z ...logic that is not needed in a compiled/traced graph... 2024-04-03T16:54:14.4231502Z ^ 2024-04-03T16:54:14.4232497Z msg = Cannot scrape callname=is_dynamo_compiling in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py line=179. 2024-04-03T16:54:14.4233742Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-04-03T16:54:14.4234222Z 2024-04-03T16:54:14.4234420Z Indicates whether a graph is traced via TorchDynamo. 2024-04-03T16:54:14.4234788Z 2024-04-03T16:54:14.4235161Z It's stricter than is_compiling() flag, as it would only be set to True when 2024-04-03T16:54:14.4235746Z TorchDynamo is used. 2024-04-03T16:54:14.4235940Z 2024-04-03T16:54:14.4236037Z Example:: 2024-04-03T16:54:14.4236191Z 2024-04-03T16:54:14.4236306Z >>> def forward(self, x): 2024-04-03T16:54:14.4236729Z >>> if not torch.compiler.is_dynamo_compiling(): 2024-04-03T16:54:14.4237379Z >>> ...logic that is not needed in a TorchDynamo-traced graph... 2024-04-03T16:54:14.4237896Z >>> 2024-04-03T16:54:14.4238161Z >>> ...rest of the function... 2024-04-03T16:54:14.4238431Z 2024-04-03T16:54:14.4239197Z Original Error: SyntaxError('invalid syntax', ('', 3, 11, ' ...logic that is not needed in a TorchDynamo-traced graph...\n', 3, 16)) 2024-04-03T16:54:14.4239990Z 2024-04-03T16:54:14.4240294Z ...logic that is not needed in a TorchDynamo-traced graph... 2024-04-03T16:54:14.4240798Z ^ 2024-04-03T16:54:14.4469256Z msg = Cannot scrape callname=Future.then in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py line=100. 2024-04-03T16:54:14.4470500Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:14.4471006Z 2024-04-03T16:54:14.4471333Z Append the given callback function to this ``Future``, which will be run 2024-04-03T16:54:14.4472084Z when the ``Future`` is completed. Multiple callbacks can be added to 2024-04-03T16:54:14.4472816Z the same ``Future``, but the order in which they will be executed cannot 2024-04-03T16:54:14.4473489Z be guaranteed (to enforce a certain order consider chaining: 2024-04-03T16:54:14.4474168Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which 2024-04-03T16:54:14.4475010Z is the reference to this ``Future``. The callback function can use the 2024-04-03T16:54:14.4475774Z :meth:`value` method to get the value. Note that if this ``Future`` is 2024-04-03T16:54:14.4476500Z already completed, the given callback will be run immediately inline. 2024-04-03T16:54:14.4476962Z 2024-04-03T16:54:14.4477286Z If the ``Future``'s value contains tensors that reside on GPUs, the 2024-04-03T16:54:14.4478018Z callback might be invoked while the async kernels that are populating 2024-04-03T16:54:14.4478961Z those tensors haven't yet finished executing on the device. However, the 2024-04-03T16:54:14.4479817Z callback will be invoked with some dedicated streams set as current 2024-04-03T16:54:14.4481062Z (fetched from a global pool) which will be synchronized with those 2024-04-03T16:54:14.4481783Z kernels. Hence any operation performed by the callback on these tensors 2024-04-03T16:54:14.4482531Z will be scheduled on the device after the kernels complete. In other 2024-04-03T16:54:14.4483320Z words, as long as the callback doesn't switch streams, it can safely 2024-04-03T16:54:14.4484041Z manipulate the result without any additional synchronization. This is 2024-04-03T16:54:14.4484748Z similar to the non-blocking behavior of :meth:`wait`. 2024-04-03T16:54:14.4485116Z 2024-04-03T16:54:14.4485398Z Similarly, if the callback returns a value that contains tensors that 2024-04-03T16:54:14.4486181Z reside on a GPU, it can do so even if the kernels that are producing 2024-04-03T16:54:14.4486900Z these tensors are still running on the device, as long as the callback 2024-04-03T16:54:14.4487680Z didn't change streams during its execution. If one wants to change 2024-04-03T16:54:14.4488455Z streams, one must be careful to re-synchronize them with the original 2024-04-03T16:54:14.4489179Z streams, that is, those that were current when the callback was invoked. 2024-04-03T16:54:14.4489649Z 2024-04-03T16:54:14.4489738Z Args: 2024-04-03T16:54:14.4490144Z callback(``Callable``): a ``Callable`` that takes this ``Future`` as 2024-04-03T16:54:14.4490706Z the only argument. 2024-04-03T16:54:14.4491009Z 2024-04-03T16:54:14.4491099Z Returns: 2024-04-03T16:54:14.4491476Z A new ``Future`` object that holds the return value of the 2024-04-03T16:54:14.4492079Z ``callback`` and will be marked as completed when the given 2024-04-03T16:54:14.4492592Z ``callback`` finishes. 2024-04-03T16:54:14.4492821Z 2024-04-03T16:54:14.4493054Z .. note:: Note that if the callback function throws, either 2024-04-03T16:54:14.4493713Z through the original future being completed with an exception and 2024-04-03T16:54:14.4494504Z calling ``fut.wait()``, or through other code in the callback, the 2024-04-03T16:54:14.4495198Z future returned by ``then`` will be marked appropriately with the 2024-04-03T16:54:14.4495874Z encountered error. However, if this callback later completes 2024-04-03T16:54:14.4496548Z additional futures, those futures are not marked as completed with 2024-04-03T16:54:14.4497280Z an error and the user is responsible for handling completion/waiting 2024-04-03T16:54:14.4497869Z on those futures independently. 2024-04-03T16:54:14.4498140Z 2024-04-03T16:54:14.4498235Z Example:: 2024-04-03T16:54:14.4498576Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2024-04-03T16:54:14.4499037Z >>> def callback(fut): 2024-04-03T16:54:14.4499431Z ... print(f"RPC return value is {fut.wait()}.") 2024-04-03T16:54:14.4499905Z >>> fut = torch.futures.Future() 2024-04-03T16:54:14.4500408Z >>> # The inserted callback will print the return value when 2024-04-03T16:54:14.4500940Z >>> # receiving the response from "worker1" 2024-04-03T16:54:14.4501379Z >>> cb_fut = fut.then(callback) 2024-04-03T16:54:14.4501763Z >>> chain_cb_fut = cb_fut.then( 2024-04-03T16:54:14.4502402Z ... lambda x : print(f"Chained cb done. {x.wait()}") 2024-04-03T16:54:14.4502856Z ... ) 2024-04-03T16:54:14.4503114Z >>> fut.set_result(5) 2024-04-03T16:54:14.4503495Z RPC return value is 5. 2024-04-03T16:54:14.4503878Z Chained cb done. None 2024-04-03T16:54:14.4504088Z 2024-04-03T16:54:14.4504507Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:14.4504987Z 2024-04-03T16:54:14.4505853Z msg = Cannot scrape callname=Future.set_result in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py line=208. 2024-04-03T16:54:14.4507096Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:14.4507603Z 2024-04-03T16:54:14.4507885Z Set the result for this ``Future``, which will mark this ``Future`` as 2024-04-03T16:54:14.4508671Z completed and trigger all attached callbacks. Note that a ``Future`` 2024-04-03T16:54:14.4509250Z cannot be marked completed twice. 2024-04-03T16:54:14.4509510Z 2024-04-03T16:54:14.4509803Z If the result contains tensors that reside on GPUs, this method can be 2024-04-03T16:54:14.4510628Z called even if the asynchronous kernels that are populating those 2024-04-03T16:54:14.4511409Z tensors haven't yet completed running on the device, provided that the 2024-04-03T16:54:14.4512151Z streams on which those kernels were enqueued are set as the current ones 2024-04-03T16:54:14.4512955Z when this method is called. Put simply, it's safe to call this method 2024-04-03T16:54:14.4513716Z immediately after launching those kernels, without any additional 2024-04-03T16:54:14.4514497Z synchronization, as long as one doesn't change streams in between. This 2024-04-03T16:54:14.4515250Z method will record events on all the relevant current streams and will 2024-04-03T16:54:14.4515973Z use them to ensure proper scheduling for all the consumers of this 2024-04-03T16:54:14.4516504Z ``Future``. 2024-04-03T16:54:14.4516652Z 2024-04-03T16:54:14.4516738Z Args: 2024-04-03T16:54:14.4517083Z result (object): the result object of this ``Future``. 2024-04-03T16:54:14.4517445Z 2024-04-03T16:54:14.4517557Z Example:: 2024-04-03T16:54:14.4517886Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2024-04-03T16:54:14.4518348Z >>> import threading 2024-04-03T16:54:14.4518659Z >>> import time 2024-04-03T16:54:14.4518962Z >>> def slow_set_future(fut, value): 2024-04-03T16:54:14.4519356Z ... time.sleep(0.5) 2024-04-03T16:54:14.4519702Z ... fut.set_result(value) 2024-04-03T16:54:14.4520075Z >>> fut = torch.futures.Future() 2024-04-03T16:54:14.4520473Z >>> t = threading.Thread( 2024-04-03T16:54:14.4520834Z ... target=slow_set_future, 2024-04-03T16:54:14.4521215Z ... args=(fut, torch.ones(2) * 3) 2024-04-03T16:54:14.4521588Z ... ) 2024-04-03T16:54:14.4521832Z >>> t.start() 2024-04-03T16:54:14.4522103Z >>> print(fut.wait()) 2024-04-03T16:54:14.4522417Z tensor([3., 3.]) 2024-04-03T16:54:14.4522706Z >>> t.join() 2024-04-03T16:54:14.4522871Z 2024-04-03T16:54:14.4523251Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:14.4523743Z 2024-04-03T16:54:14.4689059Z msg = Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py line=190. 2024-04-03T16:54:14.4690260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:14.4690996Z Return the sum of each row of the given sparse tensor. 2024-04-03T16:54:14.4691362Z 2024-04-03T16:54:14.4691683Z Returns the sum of each row of the sparse tensor :attr:`input` in the given 2024-04-03T16:54:14.4692420Z dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions, 2024-04-03T16:54:14.4693127Z reduce over all of them. When sum over all ``sparse_dim``, this method 2024-04-03T16:54:14.4693774Z returns a dense tensor instead of a sparse tensor. 2024-04-03T16:54:14.4694210Z 2024-04-03T16:54:14.4694562Z All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output 2024-04-03T16:54:14.4695333Z tensor having :attr:`dim` fewer dimensions than :attr:`input`. 2024-04-03T16:54:14.4695849Z 2024-04-03T16:54:14.4696193Z During backward, only gradients at ``nnz`` locations of :attr:`input` 2024-04-03T16:54:14.4696953Z will propagate back. Note that the gradients of :attr:`input` is coalesced. 2024-04-03T16:54:14.4697455Z 2024-04-03T16:54:14.4697549Z Args: 2024-04-03T16:54:14.4697861Z input (Tensor): the input sparse tensor 2024-04-03T16:54:14.4698568Z dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce 2024-04-03T16:54:14.4699234Z over all dims. 2024-04-03T16:54:14.4699809Z dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor. 2024-04-03T16:54:14.4700525Z Default: dtype of :attr:`input`. 2024-04-03T16:54:14.4700826Z 2024-04-03T16:54:14.4700935Z Example:: 2024-04-03T16:54:14.4701110Z 2024-04-03T16:54:14.4701206Z >>> nnz = 3 2024-04-03T16:54:14.4701501Z >>> dims = [5, 5, 2, 3] 2024-04-03T16:54:14.4701949Z >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)), 2024-04-03T16:54:14.4702752Z torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz) 2024-04-03T16:54:14.4703341Z >>> V = torch.randn(nnz, dims[2], dims[3]) 2024-04-03T16:54:14.4703773Z >>> size = torch.Size(dims) 2024-04-03T16:54:14.4704298Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-04-03T16:54:14.4704874Z >>> S = torch.sparse_coo_tensor(I, V, size) 2024-04-03T16:54:14.4705290Z >>> S 2024-04-03T16:54:14.4705589Z tensor(indices=tensor([[2, 0, 3], 2024-04-03T16:54:14.4706003Z [2, 4, 1]]), 2024-04-03T16:54:14.4706512Z values=tensor([[[-0.6438, -1.6467, 1.4004], 2024-04-03T16:54:14.4707055Z [ 0.3411, 0.0918, -0.2312]], 2024-04-03T16:54:14.4707369Z 2024-04-03T16:54:14.4707592Z [[ 0.5348, 0.0634, -2.0494], 2024-04-03T16:54:14.4708113Z [-0.7125, -1.0646, 2.1844]], 2024-04-03T16:54:14.4708426Z 2024-04-03T16:54:14.4708633Z [[ 0.1276, 0.1874, -0.6334], 2024-04-03T16:54:14.4709156Z [-1.9682, -0.5340, 0.7483]]]), 2024-04-03T16:54:14.4709675Z size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo) 2024-04-03T16:54:14.4710030Z 2024-04-03T16:54:14.4710296Z # when sum over only part of sparse_dims, return a sparse tensor 2024-04-03T16:54:14.4710870Z >>> torch.sparse.sum(S, [1, 3]) 2024-04-03T16:54:14.4711303Z tensor(indices=tensor([[0, 2, 3]]), 2024-04-03T16:54:14.4711790Z values=tensor([[-1.4512, 0.4073], 2024-04-03T16:54:14.4712282Z [-0.8901, 0.2017], 2024-04-03T16:54:14.4712764Z [-0.3183, -1.7539]]), 2024-04-03T16:54:14.4713238Z size=(5, 2), nnz=3, layout=torch.sparse_coo) 2024-04-03T16:54:14.4713586Z 2024-04-03T16:54:14.4713795Z # when sum over all sparse dim, return a dense tensor 2024-04-03T16:54:14.4714297Z # with summed dims squeezed 2024-04-03T16:54:14.4714710Z >>> torch.sparse.sum(S, [0, 1, 3]) 2024-04-03T16:54:14.4715152Z tensor([-2.6596, -1.1450]) 2024-04-03T16:54:14.4715497Z 2024-04-03T16:54:14.4716026Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:14.4716506Z 2024-04-03T16:54:15.0139046Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/apis.py line=28. 2024-04-03T16:54:15.0140282Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:15.0140783Z 2024-04-03T16:54:15.0141169Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2024-04-03T16:54:15.0141904Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2024-04-03T16:54:15.0142763Z pushes the map into PyTorch operations called by ``func``, effectively 2024-04-03T16:54:15.0143534Z vectorizing those operations. 2024-04-03T16:54:15.0143835Z 2024-04-03T16:54:15.0144145Z vmap is useful for handling batch dimensions: one can write a function 2024-04-03T16:54:15.0144869Z ``func`` that runs on examples and then lift it to a function that can 2024-04-03T16:54:15.0145598Z take batches of examples with ``vmap(func)``. vmap can also be used to 2024-04-03T16:54:15.0146262Z compute batched gradients when composed with autograd. 2024-04-03T16:54:15.0146629Z 2024-04-03T16:54:15.0146755Z .. note:: 2024-04-03T16:54:15.0147136Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2024-04-03T16:54:15.0147761Z convenience. Use whichever one you'd like. 2024-04-03T16:54:15.0148137Z 2024-04-03T16:54:15.0148245Z Args: 2024-04-03T16:54:15.0148654Z func (function): A Python function that takes one or more arguments. 2024-04-03T16:54:15.0149241Z Must return one or more Tensors. 2024-04-03T16:54:15.0149810Z in_dims (int or nested structure): Specifies which dimension of the 2024-04-03T16:54:15.0150462Z inputs should be mapped over. ``in_dims`` should have a 2024-04-03T16:54:15.0151103Z structure like the inputs. If the ``in_dim`` for a particular 2024-04-03T16:54:15.0151769Z input is None, then that indicates there is no map dimension. 2024-04-03T16:54:15.0152274Z Default: 0. 2024-04-03T16:54:15.0152777Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2024-04-03T16:54:15.0153475Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2024-04-03T16:54:15.0154085Z it should have one element per output. Default: 0. 2024-04-03T16:54:15.0154679Z randomness (str): Specifies whether the randomness in this 2024-04-03T16:54:15.0155431Z vmap should be the same or different across batches. If 'different', 2024-04-03T16:54:15.0156214Z the randomness for each batch will be different. If 'same', the 2024-04-03T16:54:15.0156982Z randomness will be the same across batches. If 'error', any calls to 2024-04-03T16:54:15.0157770Z random functions will error. Default: 'error'. WARNING: this flag 2024-04-03T16:54:15.0158484Z only applies to random PyTorch operations and does not apply to 2024-04-03T16:54:15.0159126Z Python's random module or numpy randomness. 2024-04-03T16:54:15.0159785Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2024-04-03T16:54:15.0160585Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2024-04-03T16:54:15.0161476Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2024-04-03T16:54:15.0162435Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2024-04-03T16:54:15.0162979Z 2024-04-03T16:54:15.0163073Z Returns: 2024-04-03T16:54:15.0163474Z Returns a new "batched" function. It takes the same inputs as 2024-04-03T16:54:15.0164112Z ``func``, except each input has an extra dimension at the index 2024-04-03T16:54:15.0164771Z specified by ``in_dims``. It takes returns the same outputs as 2024-04-03T16:54:15.0165436Z ``func``, except each output has an extra dimension at the index 2024-04-03T16:54:15.0165957Z specified by ``out_dims``. 2024-04-03T16:54:15.0166205Z 2024-04-03T16:54:15.0166301Z .. warning: 2024-04-03T16:54:15.0166791Z :func:`vmap` works best with functional-style code. Please do not 2024-04-03T16:54:15.0167504Z perform any side-effects in ``func``, with the exception of 2024-04-03T16:54:15.0168269Z in-place PyTorch operations. Examples of side-effects include mutating 2024-04-03T16:54:15.0169032Z Python data structures and assigning values to variables not captured 2024-04-03T16:54:15.0169582Z in ``func``. 2024-04-03T16:54:15.0169768Z 2024-04-03T16:54:15.0170086Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2024-04-03T16:54:15.0170927Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2024-04-03T16:54:15.0171746Z rummaging through docs, use :func:`vmap` to construct a new function. 2024-04-03T16:54:15.0172226Z 2024-04-03T16:54:15.0172476Z >>> torch.dot # [D], [D] -> [] 2024-04-03T16:54:15.0173166Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2024-04-03T16:54:15.0173771Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2024-04-03T16:54:15.0174303Z >>> batched_dot(x, y) 2024-04-03T16:54:15.0174527Z 2024-04-03T16:54:15.0174841Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2024-04-03T16:54:15.0175446Z model authoring experience. 2024-04-03T16:54:15.0175679Z 2024-04-03T16:54:15.0175810Z >>> batch_size, feature_size = 3, 5 2024-04-03T16:54:15.0176369Z >>> weights = torch.randn(feature_size, requires_grad=True) 2024-04-03T16:54:15.0176850Z >>> 2024-04-03T16:54:15.0177095Z >>> def model(feature_vec): 2024-04-03T16:54:15.0177519Z >>> # Very simple linear model with activation 2024-04-03T16:54:15.0178019Z >>> return feature_vec.dot(weights).relu() 2024-04-03T16:54:15.0178425Z >>> 2024-04-03T16:54:15.0178759Z >>> examples = torch.randn(batch_size, feature_size) 2024-04-03T16:54:15.0179264Z >>> result = torch.vmap(model)(examples) 2024-04-03T16:54:15.0179567Z 2024-04-03T16:54:15.0179918Z :func:`vmap` can also help vectorize computations that were previously difficult 2024-04-03T16:54:15.0180821Z or impossible to batch. One example is higher-order gradient computation. 2024-04-03T16:54:15.0181658Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2024-04-03T16:54:15.0182636Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2024-04-03T16:54:15.0183431Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2024-04-03T16:54:15.0184249Z we can vectorize the whole computation, computing the Jacobian in a single 2024-04-03T16:54:15.0184857Z call to ``autograd.grad``. 2024-04-03T16:54:15.0185078Z 2024-04-03T16:54:15.0185177Z >>> # Setup 2024-04-03T16:54:15.0185448Z >>> N = 5 2024-04-03T16:54:15.0185724Z >>> f = lambda x: x ** 2 2024-04-03T16:54:15.0186097Z >>> x = torch.randn(N, requires_grad=True) 2024-04-03T16:54:15.0186512Z >>> y = f(x) 2024-04-03T16:54:15.0186799Z >>> I_N = torch.eye(N) 2024-04-03T16:54:15.0187095Z >>> 2024-04-03T16:54:15.0187353Z >>> # Sequential approach 2024-04-03T16:54:15.0187868Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2024-04-03T16:54:15.0188448Z >>> for v in I_N.unbind()] 2024-04-03T16:54:15.0188904Z >>> jacobian = torch.stack(jacobian_rows) 2024-04-03T16:54:15.0189309Z >>> 2024-04-03T16:54:15.0189580Z >>> # vectorized gradient computation 2024-04-03T16:54:15.0189987Z >>> def get_vjp(v): 2024-04-03T16:54:15.0190350Z >>> return torch.autograd.grad(y, x, v) 2024-04-03T16:54:15.0190800Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2024-04-03T16:54:15.0191112Z 2024-04-03T16:54:15.0191474Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2024-04-03T16:54:15.0192001Z 2024-04-03T16:54:15.0192261Z >>> torch.dot # [D], [D] -> [] 2024-04-03T16:54:15.0193066Z >>> batched_dot = torch.vmap(torch.vmap(torch.dot)) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2024-04-03T16:54:15.0193784Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2024-04-03T16:54:15.0194290Z >>> batched_dot(x, y) # tensor of size [2, 3] 2024-04-03T16:54:15.0194608Z 2024-04-03T16:54:15.0194949Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2024-04-03T16:54:15.0195626Z the dimension that each inputs are batched along as 2024-04-03T16:54:15.0195990Z 2024-04-03T16:54:15.0196232Z >>> torch.dot # [N], [N] -> [] 2024-04-03T16:54:15.0196944Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2024-04-03T16:54:15.0197556Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2024-04-03T16:54:15.0198292Z >>> batched_dot(x, y) # output is [5] instead of [2] if batched along the 0th dimension 2024-04-03T16:54:15.0198859Z 2024-04-03T16:54:15.0199206Z If there are multiple inputs each of which is batched along different dimensions, 2024-04-03T16:54:15.0200002Z ``in_dims`` must be a tuple with the batch dimension for each input as 2024-04-03T16:54:15.0200438Z 2024-04-03T16:54:15.0200685Z >>> torch.dot # [D], [D] -> [] 2024-04-03T16:54:15.0201427Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2024-04-03T16:54:15.0202073Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2024-04-03T16:54:15.0202915Z >>> batched_dot(x, y) # second arg doesn't have a batch dim because in_dim[1] was None 2024-04-03T16:54:15.0203493Z 2024-04-03T16:54:15.0203824Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2024-04-03T16:54:15.0204460Z matching the shape of the input: 2024-04-03T16:54:15.0204715Z 2024-04-03T16:54:15.0204966Z >>> f = lambda dict: torch.dot(dict['x'], dict['y']) 2024-04-03T16:54:15.0205460Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2024-04-03T16:54:15.0205932Z >>> input = {'x': x, 'y': y} 2024-04-03T16:54:15.0206471Z >>> batched_dot = torch.vmap(f, in_dims=({'x': 0, 'y': None},)) 2024-04-03T16:54:15.0206970Z >>> batched_dot(input) 2024-04-03T16:54:15.0207236Z 2024-04-03T16:54:15.0207610Z By default, the output is batched along the first dimension. However, it can be batched 2024-04-03T16:54:15.0208304Z along any dimension by using ``out_dims`` 2024-04-03T16:54:15.0208600Z 2024-04-03T16:54:15.0208716Z >>> f = lambda x: x ** 2 2024-04-03T16:54:15.0209070Z >>> x = torch.randn(2, 5) 2024-04-03T16:54:15.0209473Z >>> batched_pow = torch.vmap(f, out_dims=1) 2024-04-03T16:54:15.0209896Z >>> batched_pow(x) # [5, 2] 2024-04-03T16:54:15.0210150Z 2024-04-03T16:54:15.0210545Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2024-04-03T16:54:15.0211215Z accept kwargs 2024-04-03T16:54:15.0211382Z 2024-04-03T16:54:15.0211503Z >>> x = torch.randn([2, 5]) 2024-04-03T16:54:15.0211866Z >>> def fn(x, scale=4.): 2024-04-03T16:54:15.0212205Z >>> return x * scale 2024-04-03T16:54:15.0212503Z >>> 2024-04-03T16:54:15.0212773Z >>> batched_pow = torch.vmap(fn) 2024-04-03T16:54:15.0213238Z >>> assert torch.allclose(batched_pow(x), x * 4) 2024-04-03T16:54:15.0213877Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2024-04-03T16:54:15.0214441Z 2024-04-03T16:54:15.0214548Z .. note:: 2024-04-03T16:54:15.0215061Z vmap does not provide general autobatching or handle variable-length 2024-04-03T16:54:15.0215640Z sequences out of the box. 2024-04-03T16:54:15.0215877Z 2024-04-03T16:54:15.0216262Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:15.0216758Z 2024-04-03T16:54:16.0016776Z msg = Cannot scrape callname=assert_almost_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=329. 2024-04-03T16:54:16.0019314Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.0020262Z 2024-04-03T16:54:16.0020755Z Raises an AssertionError if two items are not equal up to desired 2024-04-03T16:54:16.0021765Z precision. 2024-04-03T16:54:16.0022415Z 2024-04-03T16:54:16.0022870Z .. note:: It is recommended to use one of `assert_allclose`, 2024-04-03T16:54:16.0024009Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-04-03T16:54:16.0025136Z instead of this function for more consistent floating point 2024-04-03T16:54:16.0026019Z comparisons. 2024-04-03T16:54:16.0026322Z 2024-04-03T16:54:16.0026825Z The test verifies that the elements of `actual` and `desired` satisfy. 2024-04-03T16:54:16.0027697Z 2024-04-03T16:54:16.0028229Z ``abs(desired-actual) < float64(1.5 * 10**(-decimal))`` 2024-04-03T16:54:16.0028919Z 2024-04-03T16:54:16.0029767Z That is a looser test than originally documented, but agrees with what the 2024-04-03T16:54:16.0031306Z actual implementation in `assert_array_almost_equal` did up to rounding 2024-04-03T16:54:16.0032721Z vagaries. An exception is raised at conflicting values. For ndarrays this 2024-04-03T16:54:16.0033768Z delegates to assert_array_almost_equal 2024-04-03T16:54:16.0034311Z 2024-04-03T16:54:16.0034491Z Parameters 2024-04-03T16:54:16.0035027Z ---------- 2024-04-03T16:54:16.0035477Z actual : array_like 2024-04-03T16:54:16.0036011Z The object to check. 2024-04-03T16:54:16.0036606Z desired : array_like 2024-04-03T16:54:16.0037141Z The expected object. 2024-04-03T16:54:16.0037898Z decimal : int, optional 2024-04-03T16:54:16.0038509Z Desired precision, default is 7. 2024-04-03T16:54:16.0039212Z err_msg : str, optional 2024-04-03T16:54:16.0039935Z The error message to be printed in case of failure. 2024-04-03T16:54:16.0040826Z verbose : bool, optional 2024-04-03T16:54:16.0041715Z If True, the conflicting values are appended to the error message. 2024-04-03T16:54:16.0042548Z 2024-04-03T16:54:16.0042689Z Raises 2024-04-03T16:54:16.0043162Z ------ 2024-04-03T16:54:16.0043549Z AssertionError 2024-04-03T16:54:16.0044330Z If actual and desired are not equal up to specified precision. 2024-04-03T16:54:16.0045105Z 2024-04-03T16:54:16.0045283Z See Also 2024-04-03T16:54:16.0045868Z -------- 2024-04-03T16:54:16.0046684Z assert_allclose: Compare two array_like objects for equality with desired 2024-04-03T16:54:16.0047855Z relative and/or absolute precision. 2024-04-03T16:54:16.0048897Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-04-03T16:54:16.0049638Z 2024-04-03T16:54:16.0049801Z Examples 2024-04-03T16:54:16.0050265Z -------- 2024-04-03T16:54:16.0050888Z >>> from torch._numpy.testing import assert_almost_equal 2024-04-03T16:54:16.0051854Z >>> assert_almost_equal(2.3333333333333, 2.33333334) 2024-04-03T16:54:16.0052864Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10) 2024-04-03T16:54:16.0053800Z Traceback (most recent call last): 2024-04-03T16:54:16.0054557Z ... 2024-04-03T16:54:16.0055000Z AssertionError: 2024-04-03T16:54:16.0055544Z Arrays are not almost equal to 10 decimals 2024-04-03T16:54:16.0056259Z ACTUAL: 2.3333333333333 2024-04-03T16:54:16.0056820Z DESIRED: 2.33333334 2024-04-03T16:54:16.0057155Z 2024-04-03T16:54:16.0057491Z >>> assert_almost_equal(np.array([1.0,2.3333333333333]), 2024-04-03T16:54:16.0058414Z ... np.array([1.0,2.33333334]), decimal=9) 2024-04-03T16:54:16.0059264Z Traceback (most recent call last): 2024-04-03T16:54:16.0059906Z ... 2024-04-03T16:54:16.0060353Z AssertionError: 2024-04-03T16:54:16.0060951Z Arrays are not almost equal to 9 decimals 2024-04-03T16:54:16.0061661Z 2024-04-03T16:54:16.0062332Z Mismatched elements: 1 / 2 (50%) 2024-04-03T16:54:16.0063251Z Max absolute difference: 6.666699636781459e-09 2024-04-03T16:54:16.0064229Z Max relative difference: 2.8571569790287484e-09 2024-04-03T16:54:16.0065133Z x: torch.ndarray([1.0000, 2.3333], dtype=float64) 2024-04-03T16:54:16.0066078Z y: torch.ndarray([1.0000, 2.3333], dtype=float64) 2024-04-03T16:54:16.0066664Z 2024-04-03T16:54:16.0066675Z 2024-04-03T16:54:16.0067402Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.0068318Z 2024-04-03T16:54:16.0069909Z msg = Cannot scrape callname=assert_approx_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=454. 2024-04-03T16:54:16.0072336Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.0073299Z 2024-04-03T16:54:16.0073871Z Raises an AssertionError if two items are not equal up to significant 2024-04-03T16:54:16.0074873Z digits. 2024-04-03T16:54:16.0075146Z 2024-04-03T16:54:16.0075574Z .. note:: It is recommended to use one of `assert_allclose`, 2024-04-03T16:54:16.0076867Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-04-03T16:54:16.0078104Z instead of this function for more consistent floating point 2024-04-03T16:54:16.0079039Z comparisons. 2024-04-03T16:54:16.0079413Z 2024-04-03T16:54:16.0079838Z Given two numbers, check that they are approximately equal. 2024-04-03T16:54:16.0081070Z Approximately equal is defined as the number of significant digits 2024-04-03T16:54:16.0082049Z that agree. 2024-04-03T16:54:16.0082336Z 2024-04-03T16:54:16.0082505Z Parameters 2024-04-03T16:54:16.0083005Z ---------- 2024-04-03T16:54:16.0083432Z actual : scalar 2024-04-03T16:54:16.0083926Z The object to check. 2024-04-03T16:54:16.0084511Z desired : scalar 2024-04-03T16:54:16.0085175Z The expected object. 2024-04-03T16:54:16.0085769Z significant : int, optional 2024-04-03T16:54:16.0086434Z Desired precision, default is 7. 2024-04-03T16:54:16.0087130Z err_msg : str, optional 2024-04-03T16:54:16.0087851Z The error message to be printed in case of failure. 2024-04-03T16:54:16.0088716Z verbose : bool, optional 2024-04-03T16:54:16.0089574Z If True, the conflicting values are appended to the error message. 2024-04-03T16:54:16.0090396Z 2024-04-03T16:54:16.0090547Z Raises 2024-04-03T16:54:16.0091012Z ------ 2024-04-03T16:54:16.0091420Z AssertionError 2024-04-03T16:54:16.0092213Z If actual and desired are not equal up to specified precision. 2024-04-03T16:54:16.0093147Z 2024-04-03T16:54:16.0093470Z See Also 2024-04-03T16:54:16.0093945Z -------- 2024-04-03T16:54:16.0094857Z assert_allclose: Compare two array_like objects for equality with desired 2024-04-03T16:54:16.0096005Z relative and/or absolute precision. 2024-04-03T16:54:16.0097070Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-04-03T16:54:16.0097813Z 2024-04-03T16:54:16.0097999Z Examples 2024-04-03T16:54:16.0098457Z -------- 2024-04-03T16:54:16.0099514Z >>> np.testing.assert_approx_equal(0.12345677777777e-20, 0.1234567e-20) # doctest: +SKIP 2024-04-03T16:54:16.0101288Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345671e-20, # doctest: +SKIP 2024-04-03T16:54:16.0102674Z ... significant=8) 2024-04-03T16:54:16.0103998Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345672e-20, # doctest: +SKIP 2024-04-03T16:54:16.0105202Z ... significant=8) 2024-04-03T16:54:16.0106003Z Traceback (most recent call last): 2024-04-03T16:54:16.0106637Z ... 2024-04-03T16:54:16.0107061Z AssertionError: 2024-04-03T16:54:16.0107619Z Items are not equal to 8 significant digits: 2024-04-03T16:54:16.0108452Z ACTUAL: 1.234567e-21 2024-04-03T16:54:16.0109063Z DESIRED: 1.2345672e-21 2024-04-03T16:54:16.0109438Z 2024-04-03T16:54:16.0109787Z the evaluated condition that raises the exception is 2024-04-03T16:54:16.0110426Z 2024-04-03T16:54:16.0110953Z >>> abs(0.12345670e-20/1e-21 - 0.12345672e-20/1e-21) >= 10**-(8-1) 2024-04-03T16:54:16.0111836Z True 2024-04-03T16:54:16.0112071Z 2024-04-03T16:54:16.0112080Z 2024-04-03T16:54:16.0112814Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.0113753Z 2024-04-03T16:54:16.0115392Z msg = Cannot scrape callname=assert_array_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=733. 2024-04-03T16:54:16.0117851Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.0118797Z 2024-04-03T16:54:16.0119324Z Raises an AssertionError if two array_like objects are not equal. 2024-04-03T16:54:16.0120148Z 2024-04-03T16:54:16.0120663Z Given two array_like objects, check that the shape is equal and all 2024-04-03T16:54:16.0122035Z elements of these objects are equal (but see the Notes for the special 2024-04-03T16:54:16.0123402Z handling of a scalar). An exception is raised at shape mismatch or 2024-04-03T16:54:16.0124607Z conflicting values. In contrast to the standard usage in numpy, NaNs 2024-04-03T16:54:16.0126105Z are compared like numbers, no assertion is raised if both objects have 2024-04-03T16:54:16.0127299Z NaNs in the same positions. 2024-04-03T16:54:16.0127730Z 2024-04-03T16:54:16.0128312Z The usual caution for verifying equality with floating point numbers is 2024-04-03T16:54:16.0146711Z advised. 2024-04-03T16:54:16.0147006Z 2024-04-03T16:54:16.0147188Z Parameters 2024-04-03T16:54:16.0147680Z ---------- 2024-04-03T16:54:16.0148100Z x : array_like 2024-04-03T16:54:16.0148545Z The actual object to check. 2024-04-03T16:54:16.0149154Z y : array_like 2024-04-03T16:54:16.0149651Z The desired, expected object. 2024-04-03T16:54:16.0150286Z err_msg : str, optional 2024-04-03T16:54:16.0150981Z The error message to be printed in case of failure. 2024-04-03T16:54:16.0152002Z verbose : bool, optional 2024-04-03T16:54:16.0152776Z If True, the conflicting values are appended to the error message. 2024-04-03T16:54:16.0153707Z strict : bool, optional 2024-04-03T16:54:16.0154519Z If True, raise an AssertionError when either the shape or the data 2024-04-03T16:54:16.0155667Z type of the array_like objects does not match. The special 2024-04-03T16:54:16.0156741Z handling for scalars mentioned in the Notes section is disabled. 2024-04-03T16:54:16.0157561Z 2024-04-03T16:54:16.0157724Z Raises 2024-04-03T16:54:16.0158145Z ------ 2024-04-03T16:54:16.0158548Z AssertionError 2024-04-03T16:54:16.0159197Z If actual and desired objects are not equal. 2024-04-03T16:54:16.0159755Z 2024-04-03T16:54:16.0159906Z See Also 2024-04-03T16:54:16.0160295Z -------- 2024-04-03T16:54:16.0161052Z assert_allclose: Compare two array_like objects for equality with desired 2024-04-03T16:54:16.0162168Z relative and/or absolute precision. 2024-04-03T16:54:16.0163162Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-04-03T16:54:16.0163828Z 2024-04-03T16:54:16.0163966Z Notes 2024-04-03T16:54:16.0164374Z ----- 2024-04-03T16:54:16.0164992Z When one of `x` and `y` is a scalar and the other is array_like, the 2024-04-03T16:54:16.0166192Z function checks that each element of the array_like object is equal to 2024-04-03T16:54:16.0167597Z the scalar. This behaviour can be disabled with the `strict` parameter. 2024-04-03T16:54:16.0168441Z 2024-04-03T16:54:16.0168607Z Examples 2024-04-03T16:54:16.0169076Z -------- 2024-04-03T16:54:16.0169621Z The first assert does not raise an exception: 2024-04-03T16:54:16.0170169Z 2024-04-03T16:54:16.0170505Z >>> np.testing.assert_array_equal([1.0,2.33333,np.nan], 2024-04-03T16:54:16.0171366Z ... [np.exp(0),2.33333, np.nan]) 2024-04-03T16:54:16.0171906Z 2024-04-03T16:54:16.0172403Z Use `assert_allclose` or one of the nulp (number of floating point values) 2024-04-03T16:54:16.0173444Z functions for these cases instead: 2024-04-03T16:54:16.0173870Z 2024-04-03T16:54:16.0174293Z >>> np.testing.assert_allclose([1.0,np.pi,np.nan], 2024-04-03T16:54:16.0175160Z ... [1, np.sqrt(np.pi)**2, np.nan], 2024-04-03T16:54:16.0176135Z ... rtol=1e-10, atol=0) 2024-04-03T16:54:16.0176675Z 2024-04-03T16:54:16.0177176Z As mentioned in the Notes section, `assert_array_equal` has special 2024-04-03T16:54:16.0178457Z handling for scalars. Here the test checks that each value in `x` is 3: 2024-04-03T16:54:16.0179264Z 2024-04-03T16:54:16.0179488Z >>> x = np.full((2, 5), fill_value=3) 2024-04-03T16:54:16.0180193Z >>> np.testing.assert_array_equal(x, 3) 2024-04-03T16:54:16.0180715Z 2024-04-03T16:54:16.0181211Z Use `strict` to raise an AssertionError when comparing a scalar with an 2024-04-03T16:54:16.0182322Z array: 2024-04-03T16:54:16.0182475Z 2024-04-03T16:54:16.0182685Z >>> np.testing.assert_array_equal(x, 3, strict=True) 2024-04-03T16:54:16.0183169Z Traceback (most recent call last): 2024-04-03T16:54:16.0183536Z ... 2024-04-03T16:54:16.0183786Z AssertionError: 2024-04-03T16:54:16.0184065Z Arrays are not equal 2024-04-03T16:54:16.0184360Z 2024-04-03T16:54:16.0184633Z (shapes (2, 5), () mismatch) 2024-04-03T16:54:16.0185101Z x: torch.ndarray([[3, 3, 3, 3, 3], 2024-04-03T16:54:16.0185524Z [3, 3, 3, 3, 3]]) 2024-04-03T16:54:16.0185841Z y: torch.ndarray(3) 2024-04-03T16:54:16.0186034Z 2024-04-03T16:54:16.0186314Z The `strict` parameter also ensures that the array data types match: 2024-04-03T16:54:16.0186770Z 2024-04-03T16:54:16.0186884Z >>> x = np.array([2, 2, 2]) 2024-04-03T16:54:16.0187277Z >>> y = np.array([2., 2., 2.], dtype=np.float32) 2024-04-03T16:54:16.0188022Z >>> np.testing.assert_array_equal(x, y, strict=True) 2024-04-03T16:54:16.0188832Z Traceback (most recent call last): 2024-04-03T16:54:16.0189473Z ... 2024-04-03T16:54:16.0189886Z AssertionError: 2024-04-03T16:54:16.0190386Z Arrays are not equal 2024-04-03T16:54:16.0191002Z 2024-04-03T16:54:16.0191551Z (dtypes dtype("int64"), dtype("float32") mismatch) 2024-04-03T16:54:16.0192353Z x: torch.ndarray([2, 2, 2]) 2024-04-03T16:54:16.0192976Z y: torch.ndarray([2., 2., 2.]) 2024-04-03T16:54:16.0193434Z 2024-04-03T16:54:16.0194216Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.0195117Z 2024-04-03T16:54:16.0196710Z msg = Cannot scrape callname=assert_array_almost_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=839. 2024-04-03T16:54:16.0199100Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.0200127Z 2024-04-03T16:54:16.0200638Z Raises an AssertionError if two objects are not equal up to desired 2024-04-03T16:54:16.0201573Z precision. 2024-04-03T16:54:16.0201853Z 2024-04-03T16:54:16.0202281Z .. note:: It is recommended to use one of `assert_allclose`, 2024-04-03T16:54:16.0203403Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-04-03T16:54:16.0204560Z instead of this function for more consistent floating point 2024-04-03T16:54:16.0205425Z comparisons. 2024-04-03T16:54:16.0205710Z 2024-04-03T16:54:16.0206290Z The test verifies identical shapes and that the elements of ``actual`` and 2024-04-03T16:54:16.0207359Z ``desired`` satisfy. 2024-04-03T16:54:16.0207695Z 2024-04-03T16:54:16.0208095Z ``abs(desired-actual) < 1.5 * 10**(-decimal)`` 2024-04-03T16:54:16.0208699Z 2024-04-03T16:54:16.0209259Z That is a looser test than originally documented, but agrees with what the 2024-04-03T16:54:16.0210731Z actual implementation did up to rounding vagaries. An exception is raised 2024-04-03T16:54:16.0212181Z at shape mismatch or conflicting values. In contrast to the standard usage 2024-04-03T16:54:16.0213596Z in numpy, NaNs are compared like numbers, no assertion is raised if both 2024-04-03T16:54:16.0214781Z objects have NaNs in the same positions. 2024-04-03T16:54:16.0215309Z 2024-04-03T16:54:16.0215492Z Parameters 2024-04-03T16:54:16.0215962Z ---------- 2024-04-03T16:54:16.0216384Z x : array_like 2024-04-03T16:54:16.0216871Z The actual object to check. 2024-04-03T16:54:16.0217502Z y : array_like 2024-04-03T16:54:16.0218006Z The desired, expected object. 2024-04-03T16:54:16.0218636Z decimal : int, optional 2024-04-03T16:54:16.0219248Z Desired precision, default is 6. 2024-04-03T16:54:16.0219937Z err_msg : str, optional 2024-04-03T16:54:16.0220631Z The error message to be printed in case of failure. 2024-04-03T16:54:16.0221502Z verbose : bool, optional 2024-04-03T16:54:16.0222532Z If True, the conflicting values are appended to the error message. 2024-04-03T16:54:16.0223350Z 2024-04-03T16:54:16.0223526Z Raises 2024-04-03T16:54:16.0223973Z ------ 2024-04-03T16:54:16.0224395Z AssertionError 2024-04-03T16:54:16.0225166Z If actual and desired are not equal up to specified precision. 2024-04-03T16:54:16.0225962Z 2024-04-03T16:54:16.0226115Z See Also 2024-04-03T16:54:16.0226574Z -------- 2024-04-03T16:54:16.0227315Z assert_allclose: Compare two array_like objects for equality with desired 2024-04-03T16:54:16.0228446Z relative and/or absolute precision. 2024-04-03T16:54:16.0229641Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-04-03T16:54:16.0230467Z 2024-04-03T16:54:16.0230647Z Examples 2024-04-03T16:54:16.0231117Z -------- 2024-04-03T16:54:16.0231655Z the first assert does not raise an exception 2024-04-03T16:54:16.0232211Z 2024-04-03T16:54:16.0232617Z >>> np.testing.assert_array_almost_equal([1.0,2.333,np.nan], 2024-04-03T16:54:16.0233568Z ... [1.0,2.333,np.nan]) 2024-04-03T16:54:16.0234160Z 2024-04-03T16:54:16.0234563Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], 2024-04-03T16:54:16.0235577Z ... [1.0,2.33339,np.nan], decimal=5) 2024-04-03T16:54:16.0236396Z Traceback (most recent call last): 2024-04-03T16:54:16.0237155Z ... 2024-04-03T16:54:16.0237585Z AssertionError: 2024-04-03T16:54:16.0238146Z Arrays are not almost equal to 5 decimals 2024-04-03T16:54:16.0238868Z 2024-04-03T16:54:16.0239374Z Mismatched elements: 1 / 3 (33.3%) 2024-04-03T16:54:16.0240259Z Max absolute difference: 5.999999999994898e-05 2024-04-03T16:54:16.0241234Z Max relative difference: 2.5713661239633743e-05 2024-04-03T16:54:16.0242209Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2024-04-03T16:54:16.0243205Z y: torch.ndarray([1.0000, 2.3334, nan], dtype=float64) 2024-04-03T16:54:16.0243874Z 2024-04-03T16:54:16.0244285Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], 2024-04-03T16:54:16.0245406Z ... [1.0,2.33333, 5], decimal=5) 2024-04-03T16:54:16.0246241Z Traceback (most recent call last): 2024-04-03T16:54:16.0246888Z ... 2024-04-03T16:54:16.0247324Z AssertionError: 2024-04-03T16:54:16.0247897Z Arrays are not almost equal to 5 decimals 2024-04-03T16:54:16.0248641Z 2024-04-03T16:54:16.0249139Z x and y nan location mismatch: 2024-04-03T16:54:16.0249946Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2024-04-03T16:54:16.0250998Z y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64) 2024-04-03T16:54:16.0251660Z 2024-04-03T16:54:16.0251672Z 2024-04-03T16:54:16.0252362Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.0253228Z 2024-04-03T16:54:16.0255127Z msg = Cannot scrape callname=clear_and_catch_warnings in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1789. 2024-04-03T16:54:16.0257683Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.0259034Z Context manager that resets warning registry for catching warnings 2024-04-03T16:54:16.0259844Z 2024-04-03T16:54:16.0260415Z Warnings can be slippery, because, whenever a warning is triggered, Python 2024-04-03T16:54:16.0261871Z adds a ``__warningregistry__`` member to the *calling* module. This makes 2024-04-03T16:54:16.0263436Z it impossible to retrigger the warning in this module, whatever you put in 2024-04-03T16:54:16.0264917Z the warnings filters. This context manager accepts a sequence of `modules` 2024-04-03T16:54:16.0266098Z as a keyword argument to its constructor and: 2024-04-03T16:54:16.0266653Z 2024-04-03T16:54:16.0267000Z * stores and removes any ``__warningregistry__`` entries in given `modules` 2024-04-03T16:54:16.0267568Z on entry; 2024-04-03T16:54:16.0267985Z * resets ``__warningregistry__`` to its previous state on exit. 2024-04-03T16:54:16.0268388Z 2024-04-03T16:54:16.0268713Z This makes it possible to trigger any warning afresh inside the context 2024-04-03T16:54:16.0269405Z manager without disturbing the state of warnings outside. 2024-04-03T16:54:16.0269806Z 2024-04-03T16:54:16.0270114Z For compatibility with Python 3.0, please consider all arguments to be 2024-04-03T16:54:16.0270750Z keyword-only. 2024-04-03T16:54:16.0270930Z 2024-04-03T16:54:16.0271030Z Parameters 2024-04-03T16:54:16.0271360Z ---------- 2024-04-03T16:54:16.0271815Z record : bool, optional 2024-04-03T16:54:16.0272604Z Specifies whether warnings should be captured by a custom 2024-04-03T16:54:16.0274031Z implementation of ``warnings.showwarning()`` and be appended to a list 2024-04-03T16:54:16.0275468Z returned by the context manager. Otherwise None is returned by the 2024-04-03T16:54:16.0276828Z context manager. The objects appended to the list are arguments whose 2024-04-03T16:54:16.0278068Z attributes mirror the arguments to ``showwarning()``. 2024-04-03T16:54:16.0278992Z modules : sequence, optional 2024-04-03T16:54:16.0280000Z Sequence of modules for which to reset warnings registry on entry and 2024-04-03T16:54:16.0281516Z restore on exit. To work correctly, all 'ignore' filters should 2024-04-03T16:54:16.0282587Z filter by one of these modules. 2024-04-03T16:54:16.0283226Z 2024-04-03T16:54:16.0283403Z Examples 2024-04-03T16:54:16.0283867Z -------- 2024-04-03T16:54:16.0284334Z >>> import warnings 2024-04-03T16:54:16.0285143Z >>> with np.testing.clear_and_catch_warnings( # doctest: +SKIP 2024-04-03T16:54:16.0286121Z ... modules=[np.core.fromnumeric]): 2024-04-03T16:54:16.0286803Z ... warnings.simplefilter('always') 2024-04-03T16:54:16.0287467Z ... warnings.filterwarnings('ignore', module='np.core.fromnumeric') 2024-04-03T16:54:16.0288152Z ... # do something that raises a warning but ignore those in 2024-04-03T16:54:16.0288774Z ... # np.core.fromnumeric 2024-04-03T16:54:16.0289129Z 2024-04-03T16:54:16.0289642Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.0290136Z 2024-04-03T16:54:16.1872118Z msg = Cannot scrape callname=Conv1d in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=272. 2024-04-03T16:54:16.1874661Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.1876133Z Applies a 1D convolution over a quantized input signal composed of 2024-04-03T16:54:16.1877186Z several quantized input planes. 2024-04-03T16:54:16.1877723Z 2024-04-03T16:54:16.1878258Z For details on input arguments, parameters, and implementation see 2024-04-03T16:54:16.1879299Z :class:`~torch.nn.Conv1d`. 2024-04-03T16:54:16.1879730Z 2024-04-03T16:54:16.1879942Z .. note:: 2024-04-03T16:54:16.1880684Z Only `zeros` is supported for the :attr:`padding_mode` argument. 2024-04-03T16:54:16.1881483Z 2024-04-03T16:54:16.1881667Z .. note:: 2024-04-03T16:54:16.1882350Z Only `torch.quint8` is supported for the input data type. 2024-04-03T16:54:16.1883090Z 2024-04-03T16:54:16.1883099Z 2024-04-03T16:54:16.1883281Z Attributes: 2024-04-03T16:54:16.1884110Z weight (Tensor): packed tensor derived from the learnable weight 2024-04-03T16:54:16.1885146Z parameter. 2024-04-03T16:54:16.1885944Z scale (Tensor): scalar for the output scale 2024-04-03T16:54:16.1886951Z zero_point (Tensor): scalar for the output zero point 2024-04-03T16:54:16.1887667Z 2024-04-03T16:54:16.1888032Z See :class:`~torch.nn.Conv1d` for other attributes. 2024-04-03T16:54:16.1888705Z 2024-04-03T16:54:16.1888906Z Examples:: 2024-04-03T16:54:16.1889210Z 2024-04-03T16:54:16.1889559Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE) 2024-04-03T16:54:16.1890517Z >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2) 2024-04-03T16:54:16.1891393Z >>> input = torch.randn(20, 16, 100) 2024-04-03T16:54:16.1892152Z >>> # quantize input to quint8 2024-04-03T16:54:16.1892882Z >>> # xdoctest: +SKIP 2024-04-03T16:54:16.1893822Z >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, 2024-04-03T16:54:16.1895077Z ... dtype=torch.quint8) 2024-04-03T16:54:16.1895923Z >>> output = m(q_input) 2024-04-03T16:54:16.1896371Z 2024-04-03T16:54:16.1896543Z 2024-04-03T16:54:16.1897527Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.1898440Z 2024-04-03T16:54:16.2105843Z msg = Cannot scrape callname=LSTM in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=8. 2024-04-03T16:54:16.2107204Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.2107906Z A quantized long short-term memory (LSTM). 2024-04-03T16:54:16.2108219Z 2024-04-03T16:54:16.2108621Z For the description and the argument types, please, refer to :class:`~torch.nn.LSTM` 2024-04-03T16:54:16.2109173Z 2024-04-03T16:54:16.2109277Z Attributes: 2024-04-03T16:54:16.2109611Z layers : instances of the `_LSTMLayer` 2024-04-03T16:54:16.2109922Z 2024-04-03T16:54:16.2110101Z .. note:: 2024-04-03T16:54:16.2110547Z To access the weights and biases, you need to access them per layer. 2024-04-03T16:54:16.2111234Z See examples in :class:`~torch.ao.nn.quantizable.LSTM` 2024-04-03T16:54:16.2111620Z 2024-04-03T16:54:16.2111733Z Examples:: 2024-04-03T16:54:16.2112008Z >>> # xdoctest: +SKIP 2024-04-03T16:54:16.2112375Z >>> custom_module_config = { 2024-04-03T16:54:16.2112891Z ... 'float_to_observed_custom_module_class': { 2024-04-03T16:54:16.2113384Z ... nn.LSTM: nn.quantizable.LSTM, 2024-04-03T16:54:16.2113804Z ... }, 2024-04-03T16:54:16.2114277Z ... 'observed_to_quantized_custom_module_class': { 2024-04-03T16:54:16.2114820Z ... nn.quantizable.LSTM: nn.quantized.LSTM, 2024-04-03T16:54:16.2115272Z ... } 2024-04-03T16:54:16.2115542Z ... } 2024-04-03T16:54:16.2115976Z >>> tq.prepare(model, prepare_custom_module_class=custom_module_config) 2024-04-03T16:54:16.2116712Z >>> tq.convert(model, convert_custom_module_class=custom_module_config) 2024-04-03T16:54:16.2117250Z 2024-04-03T16:54:16.2117763Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.2118256Z 2024-04-03T16:54:16.3173529Z msg = Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229. 2024-04-03T16:54:16.3175138Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.3175859Z Squashes the sparse masks into the appropriate tensors. 2024-04-03T16:54:16.3176239Z 2024-04-03T16:54:16.3176540Z If either the `params_to_keep` or `params_to_keep_per_layer` is set, 2024-04-03T16:54:16.3177222Z the module will have a `sparse_params` dict attached to it. 2024-04-03T16:54:16.3177644Z 2024-04-03T16:54:16.3177740Z Args: 2024-04-03T16:54:16.3178158Z params_to_keep: List of keys to save in the module or a dict 2024-04-03T16:54:16.3178791Z representing the modules and keys that will have 2024-04-03T16:54:16.3179344Z sparsity parameters saved 2024-04-03T16:54:16.3179957Z params_to_keep_per_layer: Dict to specify the params that should be 2024-04-03T16:54:16.3180614Z saved for specific layers. The keys in the dict 2024-04-03T16:54:16.3181220Z should be the module fqn, while the values should 2024-04-03T16:54:16.3181831Z be a list of strings with the names of the variables 2024-04-03T16:54:16.3182653Z to save in the `sparse_params` 2024-04-03T16:54:16.3182998Z 2024-04-03T16:54:16.3183099Z Examples: 2024-04-03T16:54:16.3183459Z >>> # xdoctest: +SKIP("locals are undefined") 2024-04-03T16:54:16.3184008Z >>> # Don't save any sparse params 2024-04-03T16:54:16.3184447Z >>> sparsifier.squash_mask() 2024-04-03T16:54:16.3184983Z >>> hasattr(model.submodule1, 'sparse_params') 2024-04-03T16:54:16.3185432Z False 2024-04-03T16:54:16.3185603Z 2024-04-03T16:54:16.3185755Z >>> # Keep sparse params per layer 2024-04-03T16:54:16.3186364Z >>> sparsifier.squash_mask( 2024-04-03T16:54:16.3186849Z ... params_to_keep_per_layer={ 2024-04-03T16:54:16.3187379Z ... 'submodule1.linear1': ('foo', 'bar'), 2024-04-03T16:54:16.3187942Z ... 'submodule2.linear42': ('baz',) 2024-04-03T16:54:16.3188371Z ... }) 2024-04-03T16:54:16.3188766Z >>> print(model.submodule1.linear1.sparse_params) 2024-04-03T16:54:16.3189292Z {'foo': 42, 'bar': 24} 2024-04-03T16:54:16.3189758Z >>> print(model.submodule2.linear42.sparse_params) 2024-04-03T16:54:16.3190256Z {'baz': 0.1} 2024-04-03T16:54:16.3190473Z 2024-04-03T16:54:16.3190638Z >>> # Keep sparse params for all layers 2024-04-03T16:54:16.3191321Z >>> sparsifier.squash_mask(params_to_keep=('foo', 'bar')) 2024-04-03T16:54:16.3191904Z >>> print(model.submodule1.linear1.sparse_params) 2024-04-03T16:54:16.3192427Z {'foo': 42, 'bar': 24} 2024-04-03T16:54:16.3192901Z >>> print(model.submodule2.linear42.sparse_params) 2024-04-03T16:54:16.3193428Z {'foo': 42, 'bar': 24} 2024-04-03T16:54:16.3193676Z 2024-04-03T16:54:16.3193946Z >>> # Keep some sparse params for all layers, and specific ones for 2024-04-03T16:54:16.3194505Z >>> # some other layers 2024-04-03T16:54:16.3194946Z >>> sparsifier.squash_mask( 2024-04-03T16:54:16.3195419Z ... params_to_keep=('foo', 'bar'), 2024-04-03T16:54:16.3195884Z ... params_to_keep_per_layer={ 2024-04-03T16:54:16.3196405Z ... 'submodule2.linear42': ('baz',) 2024-04-03T16:54:16.3196819Z ... }) 2024-04-03T16:54:16.3197226Z >>> print(model.submodule1.linear1.sparse_params) 2024-04-03T16:54:16.3197749Z {'foo': 42, 'bar': 24} 2024-04-03T16:54:16.3198201Z >>> print(model.submodule2.linear42.sparse_params) 2024-04-03T16:54:16.3198759Z {'foo': 42, 'bar': 24, 'baz': 0.1} 2024-04-03T16:54:16.3199154Z 2024-04-03T16:54:16.3199675Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.3200173Z 2024-04-03T16:54:16.4071784Z msg = Cannot scrape callname=DTypeConfig in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=175. 2024-04-03T16:54:16.4073888Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.4074399Z 2024-04-03T16:54:16.4074732Z Config object that specifies the supported data types passed as arguments to 2024-04-03T16:54:16.4075670Z quantize ops in the reference model spec, for input and output activations, 2024-04-03T16:54:16.4076265Z weights, and biases. 2024-04-03T16:54:16.4076476Z 2024-04-03T16:54:16.4076674Z For example, consider the following reference model: 2024-04-03T16:54:16.4077029Z 2024-04-03T16:54:16.4077299Z quant1 - [dequant1 - fp32_linear - quant2] - dequant2 2024-04-03T16:54:16.4077653Z 2024-04-03T16:54:16.4077946Z The pattern in the square brackets refers to the reference pattern of 2024-04-03T16:54:16.4078704Z statically quantized linear. Setting the input dtype as `torch.quint8` 2024-04-03T16:54:16.4079476Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument 2024-04-03T16:54:16.4080255Z to the first quantize op (quant1). Similarly, setting the output dtype as 2024-04-03T16:54:16.4081008Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to 2024-04-03T16:54:16.4081595Z the second quantize op (quant2). 2024-04-03T16:54:16.4081852Z 2024-04-03T16:54:16.4082159Z Note that the dtype here does not refer to the interface dtypes of the 2024-04-03T16:54:16.4082887Z op. For example, the "input dtype" here is not the dtype of the input 2024-04-03T16:54:16.4083619Z tensor passed to the quantized linear op. Though it can still be the 2024-04-03T16:54:16.4084342Z same as the interface dtype, this is not always the case, e.g. the 2024-04-03T16:54:16.4085188Z interface dtype is fp32 in dynamic quantization but the "input dtype" 2024-04-03T16:54:16.4086113Z specified in the DTypeConfig would still be quint8. The semantics of 2024-04-03T16:54:16.4086849Z dtypes here are the same as the semantics of the dtypes specified in 2024-04-03T16:54:16.4087399Z the observers. 2024-04-03T16:54:16.4087568Z 2024-04-03T16:54:16.4089302Z These dtypes are matched against the ones specified in the user’s 2024-04-03T16:54:16.4090065Z QConfig. If there is a match, and the QConfig satisfies the constraints 2024-04-03T16:54:16.4090825Z specified in the DTypeConfig (if any), then we will quantize the given 2024-04-03T16:54:16.4091564Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and 2024-04-03T16:54:16.4092263Z the pattern will not be quantized. 2024-04-03T16:54:16.4092532Z 2024-04-03T16:54:16.4092665Z Example usage:: 2024-04-03T16:54:16.4092836Z 2024-04-03T16:54:16.4092959Z >>> # xdoctest: +SKIP(failing) 2024-04-03T16:54:16.4093358Z >>> dtype_config1 = DTypeConfig( 2024-04-03T16:54:16.4093774Z ... input_dtype=torch.quint8, 2024-04-03T16:54:16.4094252Z ... output_dtype=torch.quint8, 2024-04-03T16:54:16.4094660Z ... weight_dtype=torch.qint8, 2024-04-03T16:54:16.4095057Z ... bias_dtype=torch.float) 2024-04-03T16:54:16.4095319Z 2024-04-03T16:54:16.4095448Z >>> dtype_config2 = DTypeConfig( 2024-04-03T16:54:16.4095946Z ... input_dtype=DTypeWithConstraints( 2024-04-03T16:54:16.4096390Z ... dtype=torch.quint8, 2024-04-03T16:54:16.4096771Z ... quant_min_lower_bound=0, 2024-04-03T16:54:16.4097190Z ... quant_max_upper_bound=255, 2024-04-03T16:54:16.4097582Z ... ), 2024-04-03T16:54:16.4097902Z ... output_dtype=DTypeWithConstraints( 2024-04-03T16:54:16.4098343Z ... dtype=torch.quint8, 2024-04-03T16:54:16.4098735Z ... quant_min_lower_bound=0, 2024-04-03T16:54:16.4099134Z ... quant_max_upper_bound=255, 2024-04-03T16:54:16.4099524Z ... ), 2024-04-03T16:54:16.4099854Z ... weight_dtype=DTypeWithConstraints( 2024-04-03T16:54:16.4100281Z ... dtype=torch.qint8, 2024-04-03T16:54:16.4100746Z ... quant_min_lower_bound=-128, 2024-04-03T16:54:16.4101171Z ... quant_max_upper_bound=127, 2024-04-03T16:54:16.4101545Z ... ), 2024-04-03T16:54:16.4101833Z ... bias_dtype=torch.float) 2024-04-03T16:54:16.4102298Z 2024-04-03T16:54:16.4102427Z >>> dtype_config1.input_dtype 2024-04-03T16:54:16.4102791Z torch.quint8 2024-04-03T16:54:16.4102964Z 2024-04-03T16:54:16.4103085Z >>> dtype_config2.input_dtype 2024-04-03T16:54:16.4103446Z torch.quint8 2024-04-03T16:54:16.4103617Z 2024-04-03T16:54:16.4103801Z >>> dtype_config2.input_dtype_with_constraints 2024-04-03T16:54:16.4104821Z DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None) 2024-04-03T16:54:16.4105673Z 2024-04-03T16:54:16.4106065Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.4106547Z 2024-04-03T16:54:16.5269468Z msg = Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=286. 2024-04-03T16:54:16.5271263Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.5271776Z 2024-04-03T16:54:16.5272131Z Takes in optional filter values and generates two tables with desired information. 2024-04-03T16:54:16.5272655Z 2024-04-03T16:54:16.5273002Z The generated tables are presented in both a list-of-lists format 2024-04-03T16:54:16.5273505Z 2024-04-03T16:54:16.5274003Z The reason for the two tables are that they handle different things: 2024-04-03T16:54:16.5274995Z 1.) the first table handles all tensor level information 2024-04-03T16:54:16.5275794Z 2.) the second table handles and displays all channel based information 2024-04-03T16:54:16.5276300Z 2024-04-03T16:54:16.5277004Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2024-04-03T16:54:16.5278675Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2024-04-03T16:54:16.5279779Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2024-04-03T16:54:16.5280420Z 2024-04-03T16:54:16.5280547Z Tensor table columns: 2024-04-03T16:54:16.5281001Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2024-04-03T16:54:16.5281673Z ---- --------- --------- --------- --------- --------- 2024-04-03T16:54:16.5282122Z 2024-04-03T16:54:16.5282274Z Per-Channel table columns: 2024-04-03T16:54:16.5282805Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2024-04-03T16:54:16.5283530Z ---- --------- ------- --------- --------- --------- --------- 2024-04-03T16:54:16.5283921Z 2024-04-03T16:54:16.5284013Z Args: 2024-04-03T16:54:16.5284506Z feature_filter (str, optional): Filters the features presented to only those that 2024-04-03T16:54:16.5285138Z contain this filter substring 2024-04-03T16:54:16.5285636Z Default = "", results in all the features being printed 2024-04-03T16:54:16.5286405Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-04-03T16:54:16.5287251Z Default = "", results in all the modules in the reports to be visible in the table 2024-04-03T16:54:16.5287768Z 2024-04-03T16:54:16.5287902Z Returns a dictionary with two keys: 2024-04-03T16:54:16.5288412Z (Dict[str, Tuple[List, List]]) A dict containing two keys: 2024-04-03T16:54:16.5288956Z "tensor_level_info", "channel_level_info" 2024-04-03T16:54:16.5289390Z Each key maps to a tuple with: 2024-04-03T16:54:16.5289831Z A list of the headers of each table 2024-04-03T16:54:16.5290405Z A list of lists containing the table information row by row 2024-04-03T16:54:16.5291046Z The 0th index row will contain the headers of the columns 2024-04-03T16:54:16.5291608Z The rest of the rows will contain data 2024-04-03T16:54:16.5291928Z 2024-04-03T16:54:16.5292041Z Example Use: 2024-04-03T16:54:16.5292360Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:16.5292882Z >>> mod_report_visualizer.generate_filtered_tables( 2024-04-03T16:54:16.5293397Z ... feature_filter = "per_channel_min", 2024-04-03T16:54:16.5293831Z ... module_fqn_filter = "block1" 2024-04-03T16:54:16.5294585Z ... ) # generates table with per_channel_min info for all modules in block 1 of the model 2024-04-03T16:54:16.5295113Z 2024-04-03T16:54:16.5295520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.5295996Z 2024-04-03T16:54:16.5297329Z msg = Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=379. 2024-04-03T16:54:16.5299010Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.5299517Z 2024-04-03T16:54:16.5299875Z Takes in optional filter values and prints out formatted tables of the information. 2024-04-03T16:54:16.5300406Z 2024-04-03T16:54:16.5300895Z The reason for the two tables printed out instead of one large one are that they handle different things: 2024-04-03T16:54:16.5301754Z 1.) the first table handles all tensor level information 2024-04-03T16:54:16.5302551Z 2.) the second table handles and displays all channel based information 2024-04-03T16:54:16.5303018Z 2024-04-03T16:54:16.5303473Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2024-04-03T16:54:16.5304697Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2024-04-03T16:54:16.5305940Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2024-04-03T16:54:16.5306594Z 2024-04-03T16:54:16.5306703Z Tensor table columns: 2024-04-03T16:54:16.5307165Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2024-04-03T16:54:16.5307838Z ---- --------- --------- --------- --------- --------- 2024-04-03T16:54:16.5308181Z 2024-04-03T16:54:16.5308332Z Per-Channel table columns: 2024-04-03T16:54:16.5308577Z 2024-04-03T16:54:16.5308873Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2024-04-03T16:54:16.5309602Z ---- --------- ------- --------- --------- --------- --------- 2024-04-03T16:54:16.5310019Z 2024-04-03T16:54:16.5310109Z Args: 2024-04-03T16:54:16.5310597Z feature_filter (str, optional): Filters the features presented to only those that 2024-04-03T16:54:16.5311244Z contain this filter substring 2024-04-03T16:54:16.5311732Z Default = "", results in all the features being printed 2024-04-03T16:54:16.5312457Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-04-03T16:54:16.5313425Z Default = "", results in all the modules in the reports to be visible in the table 2024-04-03T16:54:16.5313928Z 2024-04-03T16:54:16.5314040Z Example Use: 2024-04-03T16:54:16.5314403Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:16.5314945Z >>> mod_report_visualizer.generate_table_visualization( 2024-04-03T16:54:16.5315478Z ... feature_filter = "per_channel_min", 2024-04-03T16:54:16.5315916Z ... module_fqn_filter = "block1" 2024-04-03T16:54:16.5316298Z ... ) 2024-04-03T16:54:16.5316701Z >>> # prints out neatly formatted table with per_channel_min info 2024-04-03T16:54:16.5317265Z >>> # for all modules in block 1 of the model 2024-04-03T16:54:16.5317596Z 2024-04-03T16:54:16.5317987Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.5318468Z 2024-04-03T16:54:16.5319818Z msg = Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=532. 2024-04-03T16:54:16.5321516Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.5322016Z 2024-04-03T16:54:16.5322355Z Takes in a feature and optional module_filter and plots of the desired data. 2024-04-03T16:54:16.5322843Z 2024-04-03T16:54:16.5323214Z For per channel features, it averages the value across the channels and plots a point 2024-04-03T16:54:16.5324118Z per module. The reason for this is that for models with hundreds of channels, it can 2024-04-03T16:54:16.5325021Z be hard to differentiate one channel line from another, and so the point of generating 2024-04-03T16:54:16.5325922Z a single average point per module is to give a sense of general trends that encourage 2024-04-03T16:54:16.5326574Z further deep dives. 2024-04-03T16:54:16.5326764Z 2024-04-03T16:54:16.5326867Z Note: 2024-04-03T16:54:16.5327363Z Only features in the report that have tensor value data are plottable by this class 2024-04-03T16:54:16.5328116Z When the tensor information is plotted, it will plot: 2024-04-03T16:54:16.5328670Z idx as the x val, feature value as the y_val 2024-04-03T16:54:16.5329224Z When the channel information is plotted, it will plot: 2024-04-03T16:54:16.5329987Z the first idx of each module as the x val, feature value as the y_val [for each channel] 2024-04-03T16:54:16.5330872Z The reason for this is that we want to be able to compare values across the 2024-04-03T16:54:16.5331698Z channels for same layer, and it will be hard if values are staggered by idx 2024-04-03T16:54:16.5332407Z This means each module is represented by only 1 x value 2024-04-03T16:54:16.5332885Z Args: 2024-04-03T16:54:16.5333367Z feature_filter (str): Filters the features presented to only those that 2024-04-03T16:54:16.5333989Z contain this filter substring 2024-04-03T16:54:16.5334692Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-04-03T16:54:16.5335547Z Default = "", results in all the modules in the reports to be visible in the table 2024-04-03T16:54:16.5336048Z 2024-04-03T16:54:16.5336153Z Example Use: 2024-04-03T16:54:16.5336484Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:16.5337018Z >>> mod_report_visualizer.generate_plot_visualization( 2024-04-03T16:54:16.5337535Z ... feature_filter = "per_channel_min", 2024-04-03T16:54:16.5338036Z ... module_fqn_filter = "block1" 2024-04-03T16:54:16.5338414Z ... ) 2024-04-03T16:54:16.5338796Z >>> # outputs line plot of per_channel_min information for all 2024-04-03T16:54:16.5339494Z >>> # modules in block1 of model each channel gets it's own line, 2024-04-03T16:54:16.5340211Z >>> # and it's plotted across the in-order modules on the x-axis 2024-04-03T16:54:16.5340615Z 2024-04-03T16:54:16.5341013Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.5341493Z 2024-04-03T16:54:16.5342976Z msg = Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=600. 2024-04-03T16:54:16.5344692Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.5345202Z 2024-04-03T16:54:16.5345576Z Takes in a feature and optional module_filter and plots the histogram of desired data. 2024-04-03T16:54:16.5346118Z 2024-04-03T16:54:16.5346220Z Note: 2024-04-03T16:54:16.5346717Z Only features in the report that have tensor value data can be viewed as a histogram 2024-04-03T16:54:16.5347634Z If you want to plot a histogram from all the channel values of a specific feature for 2024-04-03T16:54:16.5348518Z a specific model, make sure to specify both the model and the feature properly 2024-04-03T16:54:16.5349369Z in the filters and you should be able to see a distribution of the channel data 2024-04-03T16:54:16.5349890Z 2024-04-03T16:54:16.5349980Z Args: 2024-04-03T16:54:16.5350472Z feature_filter (str, optional): Filters the features presented to only those that 2024-04-03T16:54:16.5351118Z contain this filter substring 2024-04-03T16:54:16.5351597Z Default = "", results in all the features being printed 2024-04-03T16:54:16.5352320Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-04-03T16:54:16.5353167Z Default = "", results in all the modules in the reports to be visible in the table 2024-04-03T16:54:16.5353982Z num_bins (int, optional): The number of bins to create the histogram with 2024-04-03T16:54:16.5354703Z Default = 10, the values will be split into 10 equal sized bins 2024-04-03T16:54:16.5355119Z 2024-04-03T16:54:16.5355219Z Example Use: 2024-04-03T16:54:16.5355500Z >>> # xdoctest: +SKIP 2024-04-03T16:54:16.5356095Z >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization( 2024-04-03T16:54:16.5356783Z ... feature_filter = "per_channel_min", 2024-04-03T16:54:16.5357229Z ... module_fqn_filter = "block1" 2024-04-03T16:54:16.5357609Z ... ) 2024-04-03T16:54:16.5358109Z # outputs histogram of per_channel_min information for all modules in block1 of model 2024-04-03T16:54:16.5358984Z information is gathered across all channels for all modules in block 1 for the 2024-04-03T16:54:16.5359795Z per_channel_min and is displayed in a histogram of equally sized bins 2024-04-03T16:54:16.5360253Z 2024-04-03T16:54:16.5360649Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.5361126Z 2024-04-03T16:54:16.8591528Z msg = Cannot scrape callname=gather_object in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2461. 2024-04-03T16:54:16.8594233Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.8595184Z 2024-04-03T16:54:16.8595780Z Gathers picklable objects from the whole group in a single process. 2024-04-03T16:54:16.8596566Z 2024-04-03T16:54:16.8597151Z Similar to :func:`gather`, but Python objects can be passed in. Note that the 2024-04-03T16:54:16.8598393Z object must be picklable in order to be gathered. 2024-04-03T16:54:16.8599028Z 2024-04-03T16:54:16.8599187Z Args: 2024-04-03T16:54:16.8599703Z obj (Any): Input object. Must be picklable. 2024-04-03T16:54:16.8601026Z object_gather_list (list[Any]): Output list. On the ``dst`` rank, it 2024-04-03T16:54:16.8602299Z should be correctly sized as the size of the group for this 2024-04-03T16:54:16.8603744Z collective and will contain the output. Must be ``None`` on non-dst 2024-04-03T16:54:16.8604830Z ranks. (default is ``None``) 2024-04-03T16:54:16.8606245Z dst (int, optional): Destination rank on global process group (regardless of ``group`` argument). (default is 0) 2024-04-03T16:54:16.8608090Z group: (ProcessGroup, optional): The process group to work on. If None, 2024-04-03T16:54:16.8609420Z the default process group will be used. Default is ``None``. 2024-04-03T16:54:16.8610334Z 2024-04-03T16:54:16.8610503Z Returns: 2024-04-03T16:54:16.8611211Z None. On the ``dst`` rank, ``object_gather_list`` will contain the 2024-04-03T16:54:16.8612164Z output of the collective. 2024-04-03T16:54:16.8612614Z 2024-04-03T16:54:16.8613182Z .. note:: Note that this API differs slightly from the gather collective 2024-04-03T16:54:16.8614680Z since it does not provide an async_op handle and thus will be a blocking 2024-04-03T16:54:16.8615739Z call. 2024-04-03T16:54:16.8616009Z 2024-04-03T16:54:16.8616758Z .. note:: For NCCL-based processed groups, internal tensor representations 2024-04-03T16:54:16.8618203Z of objects must be moved to the GPU device before communication takes 2024-04-03T16:54:16.8619406Z place. In this case, the device used is given by 2024-04-03T16:54:16.8620692Z ``torch.cuda.current_device()`` and it is the user's responsiblity to 2024-04-03T16:54:16.8622297Z ensure that this is set so that each rank has an individual GPU, via 2024-04-03T16:54:16.8623406Z ``torch.cuda.set_device()``. 2024-04-03T16:54:16.8623879Z 2024-04-03T16:54:16.8624066Z .. warning:: 2024-04-03T16:54:16.8624850Z :func:`gather_object` uses ``pickle`` module implicitly, which is 2024-04-03T16:54:16.8626226Z known to be insecure. It is possible to construct malicious pickle data 2024-04-03T16:54:16.8627638Z which will execute arbitrary code during unpickling. Only call this 2024-04-03T16:54:16.8628668Z function with data you trust. 2024-04-03T16:54:16.8629125Z 2024-04-03T16:54:16.8629325Z .. warning:: 2024-04-03T16:54:16.8630113Z Calling :func:`gather_object` with GPU tensors is not well supported 2024-04-03T16:54:16.8631652Z and inefficient as it incurs GPU -> CPU transfer since tensors would be 2024-04-03T16:54:16.8632904Z pickled. Please consider using :func:`gather` instead. 2024-04-03T16:54:16.8633604Z 2024-04-03T16:54:16.8633781Z Example:: 2024-04-03T16:54:16.8634367Z >>> # xdoctest: +SKIP("need process group init") 2024-04-03T16:54:16.8635427Z >>> # Note: Process group initialization omitted on each rank. 2024-04-03T16:54:16.8636412Z >>> import torch.distributed as dist 2024-04-03T16:54:16.8637176Z >>> # Assumes world_size of 3. 2024-04-03T16:54:16.8638078Z >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object 2024-04-03T16:54:16.8639092Z >>> output = [None for _ in gather_objects] 2024-04-03T16:54:16.8639861Z >>> dist.gather_object( 2024-04-03T16:54:16.8640546Z ... gather_objects[dist.get_rank()], 2024-04-03T16:54:16.8641426Z ... output if dist.get_rank() == 0 else None, 2024-04-03T16:54:16.8642335Z ... dst=0 2024-04-03T16:54:16.8642877Z ... ) 2024-04-03T16:54:16.8643310Z >>> # On rank 0 2024-04-03T16:54:16.8643817Z >>> output 2024-04-03T16:54:16.8644387Z ['foo', 12, {1: 2}] 2024-04-03T16:54:16.8644743Z 2024-04-03T16:54:16.8645482Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.8646414Z 2024-04-03T16:54:16.8774089Z msg = Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/launch.py line=1. 2024-04-03T16:54:16.8775352Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.8775850Z 2024-04-03T16:54:16.8776205Z Module ``torch.distributed.launch``. 2024-04-03T16:54:16.8776510Z 2024-04-03T16:54:16.8776841Z ``torch.distributed.launch`` is a module that spawns up multiple distributed 2024-04-03T16:54:16.8777525Z training processes on each of the training nodes. 2024-04-03T16:54:16.8777868Z 2024-04-03T16:54:16.8777981Z .. warning:: 2024-04-03T16:54:16.8778155Z 2024-04-03T16:54:16.8778583Z This module is going to be deprecated in favor of :ref:`torchrun `. 2024-04-03T16:54:16.8779110Z 2024-04-03T16:54:16.8779499Z The utility can be used for single-node distributed training, in which one or 2024-04-03T16:54:16.8780374Z more processes per node will be spawned. The utility can be used for either 2024-04-03T16:54:16.8781153Z CPU training or GPU training. If the utility is used for GPU training, 2024-04-03T16:54:16.8781941Z each distributed process will be operating on a single GPU. This can achieve 2024-04-03T16:54:16.8783010Z well-improved single-node training performance. It can also be used in 2024-04-03T16:54:16.8783873Z multi-node distributed training, by spawning up multiple processes on each node 2024-04-03T16:54:16.8784746Z for well-improved multi-node distributed training performance as well. 2024-04-03T16:54:16.8785521Z This will especially be beneficial for systems with multiple Infiniband 2024-04-03T16:54:16.8786391Z interfaces that have direct-GPU support, since all of them can be utilized for 2024-04-03T16:54:16.8787020Z aggregated communication bandwidth. 2024-04-03T16:54:16.8787307Z 2024-04-03T16:54:16.8787689Z In both cases of single-node distributed training or multi-node distributed 2024-04-03T16:54:16.8788482Z training, this utility will launch the given number of processes per node 2024-04-03T16:54:16.8789315Z (``--nproc-per-node``). If used for GPU training, this number needs to be less 2024-04-03T16:54:16.8790100Z or equal to the number of GPUs on the current system (``nproc_per_node``), 2024-04-03T16:54:16.8790844Z and each process will be operating on a single GPU from *GPU 0 to 2024-04-03T16:54:16.8791420Z GPU (nproc_per_node - 1)*. 2024-04-03T16:54:16.8791651Z 2024-04-03T16:54:16.8791765Z **How to use this module:** 2024-04-03T16:54:16.8791989Z 2024-04-03T16:54:16.8792234Z 1. Single-Node multi-process distributed training 2024-04-03T16:54:16.8792577Z 2024-04-03T16:54:16.8792684Z :: 2024-04-03T16:54:16.8792813Z 2024-04-03T16:54:16.8793183Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-04-03T16:54:16.8793962Z YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other 2024-04-03T16:54:16.8794529Z arguments of your training script) 2024-04-03T16:54:16.8794847Z 2024-04-03T16:54:16.8795176Z 2. Multi-Node multi-process distributed training: (e.g. two nodes) 2024-04-03T16:54:16.8795619Z 2024-04-03T16:54:16.8795624Z 2024-04-03T16:54:16.8795813Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)* 2024-04-03T16:54:16.8796156Z 2024-04-03T16:54:16.8796257Z :: 2024-04-03T16:54:16.8796384Z 2024-04-03T16:54:16.8796763Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-04-03T16:54:16.8797484Z --nnodes=2 --node-rank=0 --master-addr="192.168.1.1" 2024-04-03T16:54:16.8798185Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2024-04-03T16:54:16.8798894Z and all other arguments of your training script) 2024-04-03T16:54:16.8799298Z 2024-04-03T16:54:16.8799392Z Node 2: 2024-04-03T16:54:16.8799544Z 2024-04-03T16:54:16.8799634Z :: 2024-04-03T16:54:16.8799761Z 2024-04-03T16:54:16.8800137Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-04-03T16:54:16.8800859Z --nnodes=2 --node-rank=1 --master-addr="192.168.1.1" 2024-04-03T16:54:16.8801563Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2024-04-03T16:54:16.8802196Z and all other arguments of your training script) 2024-04-03T16:54:16.8802555Z 2024-04-03T16:54:16.8802787Z 3. To look up what optional arguments this module offers: 2024-04-03T16:54:16.8803210Z 2024-04-03T16:54:16.8803302Z :: 2024-04-03T16:54:16.8803441Z 2024-04-03T16:54:16.8803657Z python -m torch.distributed.launch --help 2024-04-03T16:54:16.8803979Z 2024-04-03T16:54:16.8803983Z 2024-04-03T16:54:16.8804107Z **Important Notices:** 2024-04-03T16:54:16.8804310Z 2024-04-03T16:54:16.8804606Z 1. This utility and multi-process distributed (single-node or 2024-04-03T16:54:16.8805392Z multi-node) GPU training currently only achieves the best performance using 2024-04-03T16:54:16.8806211Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to 2024-04-03T16:54:16.8806802Z use for GPU training. 2024-04-03T16:54:16.8807058Z 2024-04-03T16:54:16.8807406Z 2. In your training program, you must parse the command-line argument: 2024-04-03T16:54:16.8808217Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module. 2024-04-03T16:54:16.8808997Z If your training program uses GPUs, you should ensure that your code only 2024-04-03T16:54:16.8809735Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by: 2024-04-03T16:54:16.8810178Z 2024-04-03T16:54:16.8810304Z Parsing the local_rank argument 2024-04-03T16:54:16.8810555Z 2024-04-03T16:54:16.8810660Z :: 2024-04-03T16:54:16.8810787Z 2024-04-03T16:54:16.8810903Z >>> # xdoctest: +SKIP 2024-04-03T16:54:16.8811239Z >>> import argparse 2024-04-03T16:54:16.8811607Z >>> parser = argparse.ArgumentParser() 2024-04-03T16:54:16.8812144Z >>> parser.add_argument("--local-rank", type=int) 2024-04-03T16:54:16.8812617Z >>> args = parser.parse_args() 2024-04-03T16:54:16.8812883Z 2024-04-03T16:54:16.8813053Z Set your device to local rank using either 2024-04-03T16:54:16.8813360Z 2024-04-03T16:54:16.8813452Z :: 2024-04-03T16:54:16.8813594Z 2024-04-03T16:54:16.8813861Z >>> torch.cuda.set_device(args.local_rank) # before your code runs 2024-04-03T16:54:16.8814402Z 2024-04-03T16:54:16.8814490Z or 2024-04-03T16:54:16.8814618Z 2024-04-03T16:54:16.8814724Z :: 2024-04-03T16:54:16.8814849Z 2024-04-03T16:54:16.8815013Z >>> with torch.cuda.device(args.local_rank): 2024-04-03T16:54:16.8815456Z >>> # your code to run 2024-04-03T16:54:16.8815791Z >>> ... 2024-04-03T16:54:16.8815951Z 2024-04-03T16:54:16.8816272Z 3. In your training program, you are supposed to call the following function 2024-04-03T16:54:16.8817086Z at the beginning to start the distributed backend. It is strongly recommended 2024-04-03T16:54:16.8817876Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work, 2024-04-03T16:54:16.8818593Z but ``env://`` is the one that is officially supported by this module. 2024-04-03T16:54:16.8819032Z 2024-04-03T16:54:16.8819123Z :: 2024-04-03T16:54:16.8819252Z 2024-04-03T16:54:16.8819586Z >>> torch.distributed.init_process_group(backend='YOUR BACKEND', 2024-04-03T16:54:16.8820254Z >>> init_method='env://') 2024-04-03T16:54:16.8820588Z 2024-04-03T16:54:16.8820911Z 4. In your training program, you can either use regular distributed functions 2024-04-03T16:54:16.8821724Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your 2024-04-03T16:54:16.8822591Z training program uses GPUs for training and you would like to use 2024-04-03T16:54:16.8823315Z :func:`torch.nn.parallel.DistributedDataParallel` module, 2024-04-03T16:54:16.8823890Z here is how to configure it. 2024-04-03T16:54:16.8824123Z 2024-04-03T16:54:16.8824227Z :: 2024-04-03T16:54:16.8824355Z 2024-04-03T16:54:16.8824613Z >>> model = torch.nn.parallel.DistributedDataParallel(model, 2024-04-03T16:54:16.8825233Z >>> device_ids=[args.local_rank], 2024-04-03T16:54:16.8825804Z >>> output_device=args.local_rank) 2024-04-03T16:54:16.8826170Z 2024-04-03T16:54:16.8826502Z Please ensure that ``device_ids`` argument is set to be the only GPU device id 2024-04-03T16:54:16.8827303Z that your code will be operating on. This is generally the local rank of the 2024-04-03T16:54:16.8828156Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``, 2024-04-03T16:54:16.8828931Z and ``output_device`` needs to be ``args.local_rank`` in order to use this 2024-04-03T16:54:16.8829465Z utility 2024-04-03T16:54:16.8829615Z 2024-04-03T16:54:16.8829954Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable 2024-04-03T16:54:16.8830751Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with 2024-04-03T16:54:16.8831548Z ``--use-env=True``. You must adjust the subprocess example above to replace 2024-04-03T16:54:16.8832365Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher 2024-04-03T16:54:16.8833062Z will not pass ``--local-rank`` when you specify this flag. 2024-04-03T16:54:16.8833449Z 2024-04-03T16:54:16.8833562Z .. warning:: 2024-04-03T16:54:16.8833722Z 2024-04-03T16:54:16.8833997Z ``local_rank`` is NOT globally unique: it is only unique per process 2024-04-03T16:54:16.8834760Z on a machine. Thus, don't use it to decide if you should, e.g., 2024-04-03T16:54:16.8835336Z write to a networked filesystem. See 2024-04-03T16:54:16.8835907Z https://github.com/pytorch/pytorch/issues/12042 for an example of 2024-04-03T16:54:16.8836621Z how things can go wrong if you don't do this correctly. 2024-04-03T16:54:16.8836999Z 2024-04-03T16:54:16.8837004Z 2024-04-03T16:54:16.8837009Z 2024-04-03T16:54:16.8837026Z 2024-04-03T16:54:16.8837410Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.8837884Z 2024-04-03T16:54:16.9455886Z msg = Cannot scrape callname=init_from_local_shards in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=343. 2024-04-03T16:54:16.9457373Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.9457871Z 2024-04-03T16:54:16.9458189Z Creates an :class:`ShardedTensor` from local shards and the global metadata. 2024-04-03T16:54:16.9458872Z Needs to be called on all ranks in an SPMD fashion. 2024-04-03T16:54:16.9459222Z 2024-04-03T16:54:16.9459322Z Args: 2024-04-03T16:54:16.9459808Z local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list 2024-04-03T16:54:16.9460566Z of shards that represent the local shards on this rank. 2024-04-03T16:54:16.9461264Z global_size (int...): a list, tuple, or `torch.Size` of integers defining the 2024-04-03T16:54:16.9461883Z shape of the overall sharded tensor. 2024-04-03T16:54:16.9462326Z 2024-04-03T16:54:16.9462427Z Keyword args: 2024-04-03T16:54:16.9462935Z process_group (ProcessGroup, optional): The process group to work on. If None, 2024-04-03T16:54:16.9463606Z the default process group will be used. 2024-04-03T16:54:16.9464134Z init_rrefs (bool, optional): Whether or not to initialize 2024-04-03T16:54:16.9464797Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2024-04-03T16:54:16.9465504Z Need to initialize the RPC Framework if specified as ``True``. 2024-04-03T16:54:16.9466028Z Default: ``False``. 2024-04-03T16:54:16.9466257Z 2024-04-03T16:54:16.9466350Z Returns: 2024-04-03T16:54:16.9466810Z A :class:`ShardedTensor` object handle on this rank 2024-04-03T16:54:16.9467220Z 2024-04-03T16:54:16.9467225Z 2024-04-03T16:54:16.9467321Z Examples: 2024-04-03T16:54:16.9467816Z Suppose we want construct a sharded tensor on two ranks, global size = (10, 5), 2024-04-03T16:54:16.9468584Z each shard have a (5, 5) local tensor, we can do it like below: 2024-04-03T16:54:16.9468995Z 2024-04-03T16:54:16.9469110Z on rank 0: 2024-04-03T16:54:16.9469421Z >>> # xdoctest: +SKIP("not distributed") 2024-04-03T16:54:16.9469888Z >>> local_shard_metadata = ShardMetadata( 2024-04-03T16:54:16.9470322Z >>> shard_offsets=[0, 0], 2024-04-03T16:54:16.9470677Z >>> shard_lengths=[5, 5], 2024-04-03T16:54:16.9471059Z >>> placement="rank:0/cuda:0" 2024-04-03T16:54:16.9471475Z >>> ) 2024-04-03T16:54:16.9471860Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2024-04-03T16:54:16.9472524Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2024-04-03T16:54:16.9472929Z 2024-04-03T16:54:16.9473042Z on rank 1: 2024-04-03T16:54:16.9473349Z >>> # xdoctest: +SKIP("not distributed") 2024-04-03T16:54:16.9473818Z >>> local_shard_metadata = ShardMetadata( 2024-04-03T16:54:16.9474249Z >>> shard_offsets=[5, 0], 2024-04-03T16:54:16.9474601Z >>> shard_lengths=[5, 5], 2024-04-03T16:54:16.9474980Z >>> placement="rank:1/cuda:1" 2024-04-03T16:54:16.9475390Z >>> ) 2024-04-03T16:54:16.9475779Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2024-04-03T16:54:16.9476440Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2024-04-03T16:54:16.9476843Z 2024-04-03T16:54:16.9477252Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.9477731Z 2024-04-03T16:54:16.9578344Z msg = Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=749. 2024-04-03T16:54:16.9579859Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.9580370Z 2024-04-03T16:54:16.9580700Z Initialize a ShardedTensor given only one local tensor, global sharded tensor 2024-04-03T16:54:16.9581339Z size and sharding spec on each rank. 2024-04-03T16:54:16.9581620Z 2024-04-03T16:54:16.9581725Z Args: 2024-04-03T16:54:16.9582352Z local_tensor (Tensor): Single tensor of local shard stored in each rank. 2024-04-03T16:54:16.9583167Z sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): 2024-04-03T16:54:16.9583891Z The specification describing how to shard the Tensor. 2024-04-03T16:54:16.9584485Z global_size (Sequence[int]): Size of the sharded tensor. 2024-04-03T16:54:16.9585250Z process_group (ProcessGroup, optional): The process group to aggregate on. 2024-04-03T16:54:16.9585933Z Default: None 2024-04-03T16:54:16.9586584Z init_rrefs (bool, optional): Whether or not to initialize 2024-04-03T16:54:16.9587314Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2024-04-03T16:54:16.9588029Z Need to initialize the RPC Framework if specified as ``True``. 2024-04-03T16:54:16.9588561Z Default: ``False``. 2024-04-03T16:54:16.9588796Z 2024-04-03T16:54:16.9588892Z Returns: 2024-04-03T16:54:16.9589375Z A :class:`ShardedTensor` sharded based on the given sharding_spec with local 2024-04-03T16:54:16.9590002Z tensor stored in the current rank. 2024-04-03T16:54:16.9590312Z 2024-04-03T16:54:16.9590407Z Examples: 2024-04-03T16:54:16.9590674Z >>> # xdoctest: +SKIP 2024-04-03T16:54:16.9591074Z >>> # All tensors below are of torch.int64 type. 2024-04-03T16:54:16.9591557Z >>> # We have 2 process groups, 2 ranks. 2024-04-03T16:54:16.9592111Z >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank 2024-04-03T16:54:16.9592764Z >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2])) 2024-04-03T16:54:16.9593279Z >>> local_tensor 2024-04-03T16:54:16.9593690Z tensor([[1, 2, 3, 4]]) # Rank 0 2024-04-03T16:54:16.9594113Z tensor([[3, 4, 5, 6]]) # Rank 1 2024-04-03T16:54:16.9594471Z >>> sharding_dim = 0 2024-04-03T16:54:16.9594834Z >>> sharding_spec = ChunkShardingSpec( 2024-04-03T16:54:16.9595257Z dim=sharding_dim, 2024-04-03T16:54:16.9595586Z placements=[ 2024-04-03T16:54:16.9595914Z "rank:0/cuda:0", 2024-04-03T16:54:16.9596269Z "rank:1/cuda:1", 2024-04-03T16:54:16.9596588Z ], 2024-04-03T16:54:16.9596844Z ) 2024-04-03T16:54:16.9597324Z >>> st = ShardedTensor._init_from_local_tensor(local_tensor, sharding_spec, [2, 4]) 2024-04-03T16:54:16.9597954Z >>> st 2024-04-03T16:54:16.9598211Z ShardedTensor( 2024-04-03T16:54:16.9598523Z ShardedTensorMetadata( 2024-04-03T16:54:16.9598872Z shards_metadata=[ 2024-04-03T16:54:16.9599454Z ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0), 2024-04-03T16:54:16.9600307Z ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1), 2024-04-03T16:54:16.9600890Z ], 2024-04-03T16:54:16.9601173Z size=torch.Size([2, 4]) 2024-04-03T16:54:16.9601529Z ) 2024-04-03T16:54:16.9601764Z >>> st.local_tensor() 2024-04-03T16:54:16.9602093Z tensor([1, 2, 3, 4]) # Rank 0 2024-04-03T16:54:16.9602502Z tensor([3, 4, 5, 6]) # Rank 1 2024-04-03T16:54:16.9602747Z 2024-04-03T16:54:16.9603110Z Warning: This API is experimental and subject to change. It lacks of a fully across 2024-04-03T16:54:16.9603961Z rank validations, and we only validate the local shard on the current rank. 2024-04-03T16:54:16.9604773Z We fully rely on the user to ensure local tensor is sharded based on the 2024-04-03T16:54:16.9605347Z sharding spec. 2024-04-03T16:54:16.9605565Z 2024-04-03T16:54:16.9605979Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.9606472Z 2024-04-03T16:54:16.9607509Z msg = Cannot scrape callname=ShardedTensor.reshard in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=993. 2024-04-03T16:54:16.9608931Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.9609424Z 2024-04-03T16:54:16.9609781Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support 2024-04-03T16:54:16.9610382Z single local shard. 2024-04-03T16:54:16.9610584Z 2024-04-03T16:54:16.9610939Z If ``resharding_spec`` is same as the original one, this becomes a no-op. 2024-04-03T16:54:16.9611732Z If only ``resharding_spec`` shares the same sharding dim with the original one, 2024-04-03T16:54:16.9612341Z we swap local shards directly. 2024-04-03T16:54:16.9612935Z For more generic cases, we merge different shards across different ranks and split 2024-04-03T16:54:16.9613791Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API. 2024-04-03T16:54:16.9614406Z 2024-04-03T16:54:16.9614512Z Args: 2024-04-03T16:54:16.9615014Z resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The 2024-04-03T16:54:16.9615767Z specification describing how the tensor is sharded. 2024-04-03T16:54:16.9616140Z 2024-04-03T16:54:16.9616250Z Returns: 2024-04-03T16:54:16.9616658Z A :class:`ShardedTensor` object whose local shards are resharded. 2024-04-03T16:54:16.9617098Z 2024-04-03T16:54:16.9617194Z Examples: 2024-04-03T16:54:16.9617455Z >>> # xdoctest: +SKIP 2024-04-03T16:54:16.9617814Z >>> # We have 2 process groups, 2 ranks. 2024-04-03T16:54:16.9618367Z >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank 2024-04-03T16:54:16.9618923Z >>> tensor = torch.stack([tensor, tensor]) 2024-04-03T16:54:16.9619319Z >>> tensor 2024-04-03T16:54:16.9619634Z tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0 2024-04-03T16:54:16.9620095Z tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1 2024-04-03T16:54:16.9620577Z tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2 2024-04-03T16:54:16.9621079Z tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3 2024-04-03T16:54:16.9621517Z >>> sharding_dim = 0 2024-04-03T16:54:16.9621851Z >>> spec = ChunkShardingSpec( 2024-04-03T16:54:16.9622350Z dim=sharding_dim, 2024-04-03T16:54:16.9622695Z placements=[ 2024-04-03T16:54:16.9623010Z "rank:0/cuda:0", 2024-04-03T16:54:16.9623362Z "rank:1/cuda:1", 2024-04-03T16:54:16.9623712Z "rank:2/cuda:2", 2024-04-03T16:54:16.9624044Z "rank:3/cuda:3", 2024-04-03T16:54:16.9624376Z ], 2024-04-03T16:54:16.9624631Z ) 2024-04-03T16:54:16.9624938Z >>> current_offsets = [0] * 2 2024-04-03T16:54:16.9625318Z >>> current_offsets[0] = rank * 2 2024-04-03T16:54:16.9625733Z >>> shard_metadata = ShardMetadata( 2024-04-03T16:54:16.9626202Z shard_offsets=copy.deepcopy(current_offsets), 2024-04-03T16:54:16.9626687Z shard_sizes=tensor.size(), 2024-04-03T16:54:16.9627121Z placement=spec.placements[rank], 2024-04-03T16:54:16.9627511Z ) 2024-04-03T16:54:16.9627772Z >>> local_shards = [ 2024-04-03T16:54:16.9628084Z Shard( 2024-04-03T16:54:16.9628358Z tensor=tensor, 2024-04-03T16:54:16.9628727Z metadata=shard_metadata, 2024-04-03T16:54:16.9629153Z ) 2024-04-03T16:54:16.9629398Z ] 2024-04-03T16:54:16.9629852Z >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size()) 2024-04-03T16:54:16.9630431Z >>> sharding_dim = 1 2024-04-03T16:54:16.9630796Z >>> resharding_spec = ChunkShardingSpec( 2024-04-03T16:54:16.9631240Z dim=sharding_dim, 2024-04-03T16:54:16.9631590Z placements=[ 2024-04-03T16:54:16.9631902Z "rank:0/cuda:0", 2024-04-03T16:54:16.9632262Z "rank:1/cuda:1", 2024-04-03T16:54:16.9632615Z "rank:2/cuda:2", 2024-04-03T16:54:16.9632957Z "rank:3/cuda:3", 2024-04-03T16:54:16.9633300Z ], 2024-04-03T16:54:16.9633561Z ) 2024-04-03T16:54:16.9633828Z >>> st.reshard(resharding_spec) 2024-04-03T16:54:16.9634255Z >>> tensor = st.local_shards()[0].tensor 2024-04-03T16:54:16.9634661Z >>> tensor 2024-04-03T16:54:16.9635008Z tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0 2024-04-03T16:54:16.9635550Z tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1 2024-04-03T16:54:16.9636093Z tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2 2024-04-03T16:54:16.9636615Z tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3 2024-04-03T16:54:16.9636981Z 2024-04-03T16:54:16.9637383Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.9637872Z 2024-04-03T16:54:16.9780851Z msg = Cannot scrape callname=ShardingPlan in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12. 2024-04-03T16:54:16.9782482Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:16.9783037Z 2024-04-03T16:54:16.9783362Z Representation of a sharding plan, describes how to shard a module 2024-04-03T16:54:16.9784227Z across hosts. `plan` is used to shard module parameters according to the spec provided, 2024-04-03T16:54:16.9785243Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output 2024-04-03T16:54:16.9786212Z layout of a module with a spec, and when to convert back to data parallel fashion. 2024-04-03T16:54:16.9786759Z 2024-04-03T16:54:16.9786867Z Args: 2024-04-03T16:54:16.9787373Z plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`, 2024-04-03T16:54:16.9788195Z :class:`torch.distributed._shard.sharder.Sharder`]): 2024-04-03T16:54:16.9789137Z a dict describes how to shard a module, there're currently two ways to shard a module: 2024-04-03T16:54:16.9790225Z 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of 2024-04-03T16:54:16.9791012Z a parameter to a `ShardingSpec`. 2024-04-03T16:54:16.9791748Z 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module 2024-04-03T16:54:16.9792448Z to a `Sharder` object. 2024-04-03T16:54:16.9793231Z output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional): 2024-04-03T16:54:16.9794332Z a dict specifies the layout of a module's output which produces a ShardedTensor, 2024-04-03T16:54:16.9795288Z keyed by the name of module to ShardingSpec("" in key means the root module). 2024-04-03T16:54:16.9796009Z Default: `None` 2024-04-03T16:54:16.9796559Z return_local_tensor (List[str], optional): a list of string, each element enables 2024-04-03T16:54:16.9797588Z a module's sharded output to be returned as a Tensor from its local shards to 2024-04-03T16:54:16.9798487Z ensure further processing in a data parallel fashion. ("" in list means the 2024-04-03T16:54:16.9799140Z root module). 2024-04-03T16:54:16.9799431Z Default: None 2024-04-03T16:54:16.9799770Z Example: 2024-04-03T16:54:16.9800325Z Suppose we want to shard a module with two linear layers and then run it with DDP, we also 2024-04-03T16:54:16.9801493Z want to convert the output of the second linear layer back to DDP, we can do it as follows: 2024-04-03T16:54:16.9802117Z 2024-04-03T16:54:16.9802338Z >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d) 2024-04-03T16:54:16.9802906Z >>> class MyModule(nn.Module): 2024-04-03T16:54:16.9803291Z >>> def __init__(self): 2024-04-03T16:54:16.9803693Z >>> super().__init__() 2024-04-03T16:54:16.9804070Z >>> self.fc1 = nn.Linear() 2024-04-03T16:54:16.9804519Z >>> self.gelu = nn.GELU() 2024-04-03T16:54:16.9804898Z >>> self.fc2 = nn.Linear() 2024-04-03T16:54:16.9805353Z >>> self.relu = nn.Linear() 2024-04-03T16:54:16.9805721Z >>> 2024-04-03T16:54:16.9806032Z >>> def forward(self, input): 2024-04-03T16:54:16.9806538Z >>> return self.relu(self.fc2(self.gelu(self.fc1(input)))) 2024-04-03T16:54:16.9806977Z 2024-04-03T16:54:16.9806982Z 2024-04-03T16:54:16.9807165Z >>> # xdoctest: +SKIP("Undefined spec1, spec2) 2024-04-03T16:54:16.9807686Z >>> sharding_plan = ShardingPlan( 2024-04-03T16:54:16.9808081Z >>> plan={ 2024-04-03T16:54:16.9808416Z >>> "fc1.weight": spec1, 2024-04-03T16:54:16.9808801Z >>> "fc2.weight": spec2 2024-04-03T16:54:16.9809211Z >>> }, 2024-04-03T16:54:16.9809486Z >>> output_plan={ 2024-04-03T16:54:16.9809864Z >>> "fc2": output_spec 2024-04-03T16:54:16.9810222Z >>> }, 2024-04-03T16:54:16.9810567Z >>> return_local_tensor=["fc2"] 2024-04-03T16:54:16.9810924Z >>> ) 2024-04-03T16:54:16.9811077Z 2024-04-03T16:54:16.9811536Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:16.9812074Z 2024-04-03T16:54:17.1625035Z msg = Cannot scrape callname=post_localSGD_hook in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=71. 2024-04-03T16:54:17.1626584Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.1627095Z 2024-04-03T16:54:17.1627279Z Run post-localSGD algorithm. 2024-04-03T16:54:17.1627535Z 2024-04-03T16:54:17.1627906Z This DDP communication hook is used for running post-localSGD algorithm, 2024-04-03T16:54:17.1628584Z by combining with a model averaging component (e.g., 2024-04-03T16:54:17.1648021Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`) 2024-04-03T16:54:17.1648760Z that runs after the optimizer step. 2024-04-03T16:54:17.1649047Z 2024-04-03T16:54:17.1649131Z Args: 2024-04-03T16:54:17.1649817Z state (PostLocalSGDState): State information to run post-localSGD. 2024-04-03T16:54:17.1650678Z Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD. 2024-04-03T16:54:17.1651872Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2024-04-03T16:54:17.1652922Z Note that since DDP comm hook only supports single process single device mode, 2024-04-03T16:54:17.1653609Z only exactly one tensor is stored in this bucket. 2024-04-03T16:54:17.1653960Z 2024-04-03T16:54:17.1654165Z Returns: 2024-04-03T16:54:17.1654631Z Future handler of the communication, which updates the gradients in place. 2024-04-03T16:54:17.1655105Z 2024-04-03T16:54:17.1655288Z Example:: 2024-04-03T16:54:17.1655528Z >>> # xdoctest: +SKIP 2024-04-03T16:54:17.1656045Z >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup, 2024-04-03T16:54:17.1656671Z start_localSGD_iter=10) 2024-04-03T16:54:17.1657207Z >>> ddp_model.register_comm_hook(state, post_localSGD_hook) 2024-04-03T16:54:17.1658054Z >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``. 2024-04-03T16:54:17.1659147Z >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module. 2024-04-03T16:54:17.1659778Z 2024-04-03T16:54:17.1660216Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.1660698Z 2024-04-03T16:54:17.1674331Z msg = Cannot scrape callname=powerSGD_hook in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=338. 2024-04-03T16:54:17.1675831Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.1676328Z 2024-04-03T16:54:17.1676451Z Implement PowerSGD algorithm. 2024-04-03T16:54:17.1676692Z 2024-04-03T16:54:17.1676985Z This DDP communication hook implements PowerSGD gradient compression 2024-04-03T16:54:17.1677731Z algorithm described in the `paper `_. 2024-04-03T16:54:17.1678496Z Once gradient tensors are aggregated across all workers, this hook applies 2024-04-03T16:54:17.1679095Z compression as follows: 2024-04-03T16:54:17.1679305Z 2024-04-03T16:54:17.1680013Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups: 2024-04-03T16:54:17.1680784Z 2024-04-03T16:54:17.1681355Z 1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth. 2024-04-03T16:54:17.1682091Z 2024-04-03T16:54:17.1682650Z 1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases). 2024-04-03T16:54:17.1683364Z 2024-04-03T16:54:17.1683506Z 2. Handles uncompressed tensors: 2024-04-03T16:54:17.1683762Z 2024-04-03T16:54:17.1684441Z 2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression; 2024-04-03T16:54:17.1685279Z 2024-04-03T16:54:17.1685732Z 2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor. 2024-04-03T16:54:17.1686360Z 2024-04-03T16:54:17.1686666Z 3. Handles the tensors that should be compressed by PowerSGD compression: 2024-04-03T16:54:17.1687134Z 2024-04-03T16:54:17.1687553Z 3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M, 2024-04-03T16:54:17.1688497Z such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized; 2024-04-03T16:54:17.1689112Z 2024-04-03T16:54:17.1689306Z 3.2. Computes each P in Ps, which is equal to MQ; 2024-04-03T16:54:17.1689665Z 2024-04-03T16:54:17.1689792Z 3.3. Allreduces Ps as a batch; 2024-04-03T16:54:17.1690050Z 2024-04-03T16:54:17.1690201Z 3.4. Orthogonalizes each P in Ps; 2024-04-03T16:54:17.1690478Z 2024-04-03T16:54:17.1690842Z 3.5. Computes each Q in Qs, which is approximately equal to M^TP; 2024-04-03T16:54:17.1691329Z 2024-04-03T16:54:17.1691452Z 3.6. Allreduces Qs as a batch; 2024-04-03T16:54:17.1691710Z 2024-04-03T16:54:17.1692141Z 3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T. 2024-04-03T16:54:17.1692712Z 2024-04-03T16:54:17.1693253Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations. 2024-04-03T16:54:17.1694437Z This not only gives the user more control over the tradeoff between speedup and accuracy, 2024-04-03T16:54:17.1695579Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers. 2024-04-03T16:54:17.1696371Z 2024-04-03T16:54:17.1696475Z Args: 2024-04-03T16:54:17.1697167Z state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc. 2024-04-03T16:54:17.1698379Z To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter`` 2024-04-03T16:54:17.1699159Z and ``min_compression_rate``. 2024-04-03T16:54:17.1700081Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2024-04-03T16:54:17.1701199Z Note that since DDP comm hook only supports single process single device mode, 2024-04-03T16:54:17.1701918Z only exactly one tensor is stored in this bucket. 2024-04-03T16:54:17.1702422Z 2024-04-03T16:54:17.1702528Z Returns: 2024-04-03T16:54:17.1702994Z Future handler of the communication, which updates the gradients in place. 2024-04-03T16:54:17.1703496Z 2024-04-03T16:54:17.1703604Z Example:: 2024-04-03T16:54:17.1703871Z >>> # xdoctest: +SKIP 2024-04-03T16:54:17.1704425Z >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1, 2024-04-03T16:54:17.1705162Z start_powerSGD_iter=10, min_compression_rate=0.5) 2024-04-03T16:54:17.1705754Z >>> ddp_model.register_comm_hook(state, powerSGD_hook) 2024-04-03T16:54:17.1706115Z 2024-04-03T16:54:17.1706502Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.1706996Z 2024-04-03T16:54:17.1729664Z msg = Cannot scrape callname=PeriodicModelAverager in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=32. 2024-04-03T16:54:17.1731200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.1731707Z 2024-04-03T16:54:17.1731990Z Averages parameters periodically after the warm-up stage. 2024-04-03T16:54:17.1732382Z 2024-04-03T16:54:17.1732815Z This can be used for running `post-local SGD `_, 2024-04-03T16:54:17.1733568Z by running :class:`~torch.nn.DistributedDataParallel` (DDP) 2024-04-03T16:54:17.1734383Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`. 2024-04-03T16:54:17.1734853Z 2024-04-03T16:54:17.1734956Z Args: 2024-04-03T16:54:17.1735303Z period (int): The number of steps per model averaging. 2024-04-03T16:54:17.1736046Z Usually the period should be greater than ``1`` to reduce the communication cost. 2024-04-03T16:54:17.1736751Z Otherwise, only DDP needs to be used. 2024-04-03T16:54:17.1737427Z warmup_steps (int): The number of warm-up steps. During this stage, 2024-04-03T16:54:17.1738011Z model averaging is skipped. 2024-04-03T16:54:17.1738628Z process_group: The process group to be used for all-reduce. 2024-04-03T16:54:17.1739222Z If ``None``, the default process group, which 2024-04-03T16:54:17.1739827Z is created by :func:`torch.distributed.init_process_group`, 2024-04-03T16:54:17.1740419Z will be used. (default: ``None``) 2024-04-03T16:54:17.1740738Z 2024-04-03T16:54:17.1740856Z Example:: 2024-04-03T16:54:17.1741093Z 2024-04-03T16:54:17.1741292Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:17.1741722Z >>> import torch 2024-04-03T16:54:17.1742205Z >>> import torch.distributed as dist 2024-04-03T16:54:17.1742902Z >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD 2024-04-03T16:54:17.1743830Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2024-04-03T16:54:17.1744470Z >>> import torch.nn as nn 2024-04-03T16:54:17.1744790Z >>> 2024-04-03T16:54:17.1745161Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2024-04-03T16:54:17.1745683Z >>> torch.cuda.set_device(rank) 2024-04-03T16:54:17.1746190Z >>> module = nn.Linear(1, 1, bias=False).cuda() 2024-04-03T16:54:17.1746723Z >>> model = nn.parallel.DistributedDataParallel( 2024-04-03T16:54:17.1747267Z >>> module, device_ids=[rank], output_device=rank 2024-04-03T16:54:17.1747703Z >>> ) 2024-04-03T16:54:17.1748262Z >>> # Register a post-localSGD communication hook. 2024-04-03T16:54:17.1749225Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2024-04-03T16:54:17.1750545Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-04-03T16:54:17.1751001Z >>> 2024-04-03T16:54:17.1751598Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2024-04-03T16:54:17.1752354Z >>> # After 100 steps, run model averaging every 4 steps. 2024-04-03T16:54:17.1753158Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-04-03T16:54:17.1754083Z >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2024-04-03T16:54:17.1754697Z >>> for step in range(0, 200): 2024-04-03T16:54:17.1755072Z >>> optimizer.zero_grad() 2024-04-03T16:54:17.1755466Z >>> loss = loss_fn(output, labels) 2024-04-03T16:54:17.1755870Z >>> loss.backward() 2024-04-03T16:54:17.1756199Z >>> optimizer.step() 2024-04-03T16:54:17.1756686Z >>> # Will average model parameters globally every 4 steps. Thus, 2024-04-03T16:54:17.1757455Z >>> # inter-node communication only occurs every 4 iterations after 2024-04-03T16:54:17.1758035Z >>> # the initial ``warmup_steps`` period. 2024-04-03T16:54:17.1758565Z >>> averager.average_parameters(model.parameters()) 2024-04-03T16:54:17.1758937Z 2024-04-03T16:54:17.1759319Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.1759797Z 2024-04-03T16:54:17.1761073Z msg = Cannot scrape callname=HierarchicalModelAverager in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=16. 2024-04-03T16:54:17.1762699Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.1763193Z 2024-04-03T16:54:17.1763621Z Runs hierarchical model averaging (`hierarchical SGD `_). 2024-04-03T16:54:17.1764229Z 2024-04-03T16:54:17.1764634Z Process groups of different sizes are organized in a hierarchy, and they average parameters 2024-04-03T16:54:17.1765533Z by using different periods concurrently after the warm-up stage. 2024-04-03T16:54:17.1766517Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager` 2024-04-03T16:54:17.1767750Z that supports `post-local SGD `_, which essentially only supports 2024-04-03T16:54:17.1768849Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine 2024-04-03T16:54:17.1769905Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`. 2024-04-03T16:54:17.1770991Z Similarly, the process groups within this class do not have such an intra-machine process 2024-04-03T16:54:17.1772040Z subgroup, which should be embedded by the post-local SGD communication hook instead. 2024-04-03T16:54:17.1772625Z 2024-04-03T16:54:17.1772715Z Args: 2024-04-03T16:54:17.1773206Z period_group_size_dict: An ordered dict mapping keys of model averaging period to 2024-04-03T16:54:17.1773979Z process group size, used for initializing process groups of 2024-04-03T16:54:17.1774817Z different sizes in a hierarchy to average parameters concurrently. 2024-04-03T16:54:17.1775578Z Particularly, at each iteration, there will be at most a single 2024-04-03T16:54:17.1776411Z process group that runs averaging -- the period of such group should 2024-04-03T16:54:17.1777229Z have the largest period which the current step can be divided by. 2024-04-03T16:54:17.1777917Z For example, if the dict has three keys: 2, 4, and 8, 2024-04-03T16:54:17.1778589Z then this means totally three process groups will be created to 2024-04-03T16:54:17.1779329Z average parameters every 2, 4, and 8 iterations, respectively. 2024-04-03T16:54:17.1780048Z At the 4th iteration, only the second process group will run 2024-04-03T16:54:17.1780757Z averaging, because the first process group should be a 2024-04-03T16:54:17.1781465Z subset of the second process group, and no need to execute the first 2024-04-03T16:54:17.1782205Z process group redundantly. 2024-04-03T16:54:17.1782823Z On the other hand, the third process group can only be triggered 2024-04-03T16:54:17.1783580Z every 8 iterations, so it will not be triggered at the 4th iteration. 2024-04-03T16:54:17.1784566Z warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped. 2024-04-03T16:54:17.1785726Z process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging. 2024-04-03T16:54:17.1786716Z If ``None``, the default process group, which is created 2024-04-03T16:54:17.1787421Z by :func:`torch.distributed.init_process_group`, will be used. 2024-04-03T16:54:17.1788042Z (default: ``None``) 2024-04-03T16:54:17.1788369Z 2024-04-03T16:54:17.1788485Z Example:: 2024-04-03T16:54:17.1788816Z >>> # xdoctest: +SKIP('undefined rank') 2024-04-03T16:54:17.1789272Z >>> from collections import OrderedDict 2024-04-03T16:54:17.1789689Z >>> import torch 2024-04-03T16:54:17.1790012Z >>> import torch.distributed as dist 2024-04-03T16:54:17.1790668Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2024-04-03T16:54:17.1791320Z >>> PostLocalSGDState, 2024-04-03T16:54:17.1791673Z >>> post_localSGD_hook, 2024-04-03T16:54:17.1792013Z >>> ) 2024-04-03T16:54:17.1792648Z >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD 2024-04-03T16:54:17.1793406Z >>> import torch.nn as nn 2024-04-03T16:54:17.1793737Z >>> 2024-04-03T16:54:17.1794104Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2024-04-03T16:54:17.1794609Z >>> torch.cuda.set_device(rank) 2024-04-03T16:54:17.1795052Z >>> module = nn.Linear(1, 1, bias=False).to(rank) 2024-04-03T16:54:17.1795586Z >>> model = nn.parallel.DistributedDataParallel( 2024-04-03T16:54:17.1796131Z >>> module, device_ids=[rank], output_device=rank 2024-04-03T16:54:17.1796558Z >>> ) 2024-04-03T16:54:17.1796944Z >>> # Register a post-localSGD communication hook. 2024-04-03T16:54:17.1797759Z >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4. 2024-04-03T16:54:17.1798497Z >>> subgroup, _ = dist.new_subgroups() 2024-04-03T16:54:17.1799238Z >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100) 2024-04-03T16:54:17.1800006Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-04-03T16:54:17.1800453Z >>> 2024-04-03T16:54:17.1800981Z >>> # Average parameters among each group of 8 processes every 4 iterations, and among all 2024-04-03T16:54:17.1801690Z >>> # the 16 processes every 16 iterations. 2024-04-03T16:54:17.1802248Z >>> averager = hierarchicalSGD.HierarchicalModelAverager( 2024-04-03T16:54:17.1802965Z >>> period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100) 2024-04-03T16:54:17.1803878Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-04-03T16:54:17.1804889Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2024-04-03T16:54:17.1805633Z >>> # After 100 steps, run model averaging at two levels. 2024-04-03T16:54:17.1806128Z >>> for step in range(0, 200): 2024-04-03T16:54:17.1806520Z >>> optimizer.zero_grad() 2024-04-03T16:54:17.1806897Z >>> loss = loss_fn(output, labels) 2024-04-03T16:54:17.1807297Z >>> loss.backward() 2024-04-03T16:54:17.1807636Z >>> optimizer.step() 2024-04-03T16:54:17.1808087Z >>> # Average parameters after ``optimizer.step()``. 2024-04-03T16:54:17.1808907Z >>> # Thus, the inter-node communication only occurs periodically after ``warmup_steps``. 2024-04-03T16:54:17.1809661Z >>> averager.average_parameters(model.parameters()) 2024-04-03T16:54:17.1810022Z 2024-04-03T16:54:17.1810123Z .. warning :: 2024-04-03T16:54:17.1810662Z The last group size in the dict must be the size of the provided ``process_group``, 2024-04-03T16:54:17.1811498Z which indicates model averaging at the highest level of the hierarchy. 2024-04-03T16:54:17.1812370Z If ``process_group`` is not provided, then the last group size should be equal to the world size. 2024-04-03T16:54:17.1812962Z 2024-04-03T16:54:17.1813062Z .. warning :: 2024-04-03T16:54:17.1813522Z `HierarchicalModelAverager` is experimental and subject to change. 2024-04-03T16:54:17.1813976Z 2024-04-03T16:54:17.1814464Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.1814942Z 2024-04-03T16:54:17.2000572Z msg = Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=74. 2024-04-03T16:54:17.2002182Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.2002717Z 2024-04-03T16:54:17.2003377Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint 2024-04-03T16:54:17.2004677Z on the coordinator rank, and then broadcast and shard each tensor to all ranks. 2024-04-03T16:54:17.2005180Z 2024-04-03T16:54:17.2005395Z . N.B. Intended to be used with DynamicMetaLoadPlanner 2024-04-03T16:54:17.2005785Z 2024-04-03T16:54:17.2005892Z .. warning:: 2024-04-03T16:54:17.2006277Z Current implementation only supports loading Tensors. 2024-04-03T16:54:17.2006650Z 2024-04-03T16:54:17.2006787Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:17.2007191Z >>> sd = {"mode": model} 2024-04-03T16:54:17.2007503Z >>> dcp.load( 2024-04-03T16:54:17.2007758Z >>> sd, 2024-04-03T16:54:17.2008103Z >>> storage_reader=BroadcastingTorchSaveReader(), 2024-04-03T16:54:17.2008618Z >>> planner=DynamicMetaLoadPlanner(), 2024-04-03T16:54:17.2009052Z >>> checkpoint_id="path_to_model.pt" 2024-04-03T16:54:17.2009435Z >>> ) 2024-04-03T16:54:17.2009577Z 2024-04-03T16:54:17.2009995Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.2010481Z 2024-04-03T16:54:17.2011655Z msg = Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=182. 2024-04-03T16:54:17.2013120Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.2013632Z 2024-04-03T16:54:17.2014188Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, 2024-04-03T16:54:17.2015374Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a 2024-04-03T16:54:17.2016134Z metadata file, like Torch Save files. 2024-04-03T16:54:17.2016418Z 2024-04-03T16:54:17.2016659Z . N.B. Intended to be used with BroadcastingTorchSaveReader 2024-04-03T16:54:17.2017084Z 2024-04-03T16:54:17.2017190Z .. warning:: 2024-04-03T16:54:17.2017576Z Current implementation only supports loading Tensors. 2024-04-03T16:54:17.2018021Z 2024-04-03T16:54:17.2018158Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:17.2018563Z >>> sd = {"mode": model} 2024-04-03T16:54:17.2018878Z >>> dcp.load( 2024-04-03T16:54:17.2019125Z >>> sd, 2024-04-03T16:54:17.2019474Z >>> storage_reader=BroadcastingTorchSaveReader(), 2024-04-03T16:54:17.2019981Z >>> planner=DynamicMetaLoadPlanner(), 2024-04-03T16:54:17.2020406Z >>> checkpoint_id="path_to_model.pt" 2024-04-03T16:54:17.2020786Z >>> ) 2024-04-03T16:54:17.2020919Z 2024-04-03T16:54:17.2021319Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.2021799Z 2024-04-03T16:54:17.2061343Z msg = Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=212. 2024-04-03T16:54:17.2062944Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.2063484Z 2024-04-03T16:54:17.2063761Z Load a state_dict in conjunction with FSDP sharded optimizer state. 2024-04-03T16:54:17.2064215Z 2024-04-03T16:54:17.2064428Z This is the current recommended way to checkpoint FSDP. 2024-04-03T16:54:17.2064918Z >>> # xdoctest: +SKIP 2024-04-03T16:54:17.2065303Z >>> import torch.distributed.checkpoint as dist_cp 2024-04-03T16:54:17.2065760Z >>> # Save 2024-04-03T16:54:17.2066026Z >>> model: torch.nn.Model 2024-04-03T16:54:17.2066375Z >>> optim_params = model.parameters() 2024-04-03T16:54:17.2066841Z >>> optim = torch.optim.SGD(optim_params, lr=0.01) 2024-04-03T16:54:17.2067277Z >>> # Save 2024-04-03T16:54:17.2067708Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT): 2024-04-03T16:54:17.2068268Z >>> state_dict = { 2024-04-03T16:54:17.2068667Z >>> "optimizer": FSDP.optim_state_dict(model, optim), 2024-04-03T16:54:17.2069146Z >>> "model": model.state_dict() 2024-04-03T16:54:17.2069521Z >>> } 2024-04-03T16:54:17.2069789Z >>> dist_cp.save_state_dict( 2024-04-03T16:54:17.2070149Z >>> state_dict=optim_state, 2024-04-03T16:54:17.2070643Z >>> storage_writer=dist_cp.FileSystemWriter("checkpoint"), 2024-04-03T16:54:17.2071201Z >>> planner=dist_cp.DefaultSavePlanner(), 2024-04-03T16:54:17.2071611Z >>> ) 2024-04-03T16:54:17.2071852Z >>> 2024-04-03T16:54:17.2072080Z >>> # Load 2024-04-03T16:54:17.2072520Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT): 2024-04-03T16:54:17.2073149Z >>> model_state_dict = model_tp.state_dict() 2024-04-03T16:54:17.2073579Z >>> checkpoint = { 2024-04-03T16:54:17.2073897Z >>> "model": model_state_dict 2024-04-03T16:54:17.2074266Z >>> } 2024-04-03T16:54:17.2074531Z >>> dist_cp.load_state_dict( 2024-04-03T16:54:17.2074887Z >>> state_dict=checkpoint, 2024-04-03T16:54:17.2075389Z >>> storage_reader=dist_cp.FileSystemReader(checkpoint_file), 2024-04-03T16:54:17.2075958Z >>> planner=dist_cp.DefaultLoadPlanner(), 2024-04-03T16:54:17.2076369Z >>> ) 2024-04-03T16:54:17.2076709Z >>> model.load_state_dict(checkpoint["model_state"]) 2024-04-03T16:54:17.2077152Z >>> 2024-04-03T16:54:17.2077496Z >>> optim_state = dist_cp.load_sharded_optimizer_state_dict( 2024-04-03T16:54:17.2078067Z >>> model_state_dict, 2024-04-03T16:54:17.2078516Z >>> optimizer_key="optimizer", 2024-04-03T16:54:17.2079009Z >>> storage_reader=dist_cp.FileSystemReader("checkpoint"), 2024-04-03T16:54:17.2079519Z >>> ) 2024-04-03T16:54:17.2079757Z >>> 2024-04-03T16:54:17.2080060Z >>> flattened_osd = FSDP.optim_state_dict_to_load( 2024-04-03T16:54:17.2080572Z >>> model, optim, optim_state["optimizer"] 2024-04-03T16:54:17.2080987Z >>> ) 2024-04-03T16:54:17.2081211Z >>> 2024-04-03T16:54:17.2081493Z >>> optim.load_state_dict(flattened_osd) 2024-04-03T16:54:17.2081801Z 2024-04-03T16:54:17.2082207Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.2082747Z 2024-04-03T16:54:17.2099687Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=109. 2024-04-03T16:54:17.2101087Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.2101587Z 2024-04-03T16:54:17.2101967Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2024-04-03T16:54:17.2102669Z 2024-04-03T16:54:17.2103054Z SavePlanners are stateful objects that can be used to customize the whole save process. 2024-04-03T16:54:17.2103603Z 2024-04-03T16:54:17.2104111Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2024-04-03T16:54:17.2104797Z will be visible to the whole process. 2024-04-03T16:54:17.2105101Z 2024-04-03T16:54:17.2105474Z A planner subclass can expect the following sequence of calls during save_state_dict: 2024-04-03T16:54:17.2106031Z 2024-04-03T16:54:17.2106220Z 1) set_up_planner - called on all ranks. 2024-04-03T16:54:17.2106681Z Signals the start of a checkpoint save. 2024-04-03T16:54:17.2106988Z 2024-04-03T16:54:17.2107180Z 2) create_local_plan - called on all ranks. 2024-04-03T16:54:17.2107878Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2024-04-03T16:54:17.2108431Z 2024-04-03T16:54:17.2108733Z 3) create_global_plan - called on the coordinator rank only. 2024-04-03T16:54:17.2109383Z Takes the SavePlan from all ranks and make any global decision. 2024-04-03T16:54:17.2109814Z 2024-04-03T16:54:17.2109989Z 4) finish_plan - called on all ranks. 2024-04-03T16:54:17.2110568Z This gives each rank a chance to adjust to global planning decisions. 2024-04-03T16:54:17.2111019Z 2024-04-03T16:54:17.2111275Z 5) resolve_data - called multiple times on each rank 2024-04-03T16:54:17.2111897Z Lookups a value on the `state_dict` for the storage layer to write. 2024-04-03T16:54:17.2112349Z 2024-04-03T16:54:17.2112746Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2024-04-03T16:54:17.2113563Z most changes can be expressed by changes in a single method. 2024-04-03T16:54:17.2113972Z 2024-04-03T16:54:17.2114122Z There are 3 usual patterns of extension: 2024-04-03T16:54:17.2114434Z 2024-04-03T16:54:17.2114772Z Rewriting state_dict. This is the simplest way to extend the save process as it 2024-04-03T16:54:17.2115631Z doesn't requite understanding the intrincacies of how SavePlan works: 2024-04-03T16:54:17.2116078Z 2024-04-03T16:54:17.2116230Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:17.2116677Z >>> class RenamePlanner(DefaultSavePlanner): 2024-04-03T16:54:17.2117219Z >>> def set_up_planner(self, state_dict, is_coordinator): 2024-04-03T16:54:17.2117732Z >>> # prefix all keys with `foo_`` 2024-04-03T16:54:17.2118380Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, is_coordinator) 2024-04-03T16:54:17.2118909Z 2024-04-03T16:54:17.2119362Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2024-04-03T16:54:17.2119977Z 2024-04-03T16:54:17.2120125Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:17.2120561Z >>> class FP16Planner(DefaultSavePlanner): 2024-04-03T16:54:17.2121105Z >>> def create_local_plan(self): 2024-04-03T16:54:17.2121584Z >>> plan = super().create_local_plan() 2024-04-03T16:54:17.2121995Z >>> for p in plan: 2024-04-03T16:54:17.2122363Z >>> if p.tensor_data is not None: 2024-04-03T16:54:17.2122884Z >>> p.tensor_data.properties.dtype = torch.float16 2024-04-03T16:54:17.2123356Z >>> return plan 2024-04-03T16:54:17.2123662Z >>> 2024-04-03T16:54:17.2123943Z >>> def resolve_data(self, write_item): 2024-04-03T16:54:17.2124444Z >>> item = super().resolve_data(write_item) 2024-04-03T16:54:17.2125143Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2024-04-03T16:54:17.2125757Z 2024-04-03T16:54:17.2126301Z Using the global planning step to make central decisions that can't be made individually by each rank 2024-04-03T16:54:17.2126922Z 2024-04-03T16:54:17.2127071Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:17.2127480Z >>> from itertools import islice 2024-04-03T16:54:17.2127879Z >>> from dataclasses import replace 2024-04-03T16:54:17.2128383Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2024-04-03T16:54:17.2129216Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2024-04-03T16:54:17.2129995Z >>> # This sample doesn't handle ShardedTensors 2024-04-03T16:54:17.2130549Z >>> def create_global_plan(self, all_plans): 2024-04-03T16:54:17.2130980Z >>> def chunk(it, size): 2024-04-03T16:54:17.2131341Z >>> it = iter(it) 2024-04-03T16:54:17.2131794Z >>> return list(iter(lambda: tuple(islice(it, size)), ())) 2024-04-03T16:54:17.2132272Z >>> all_plans = [ 2024-04-03T16:54:17.2132680Z >>> replace(plan, items=items) for plan, items in 2024-04-03T16:54:17.2133277Z >>> zip(all_plans, chunk(all_plans[0].items, len(all_plans))) 2024-04-03T16:54:17.2133772Z >>> ] 2024-04-03T16:54:17.2134214Z >>> return super().create_global_plan(all_plans) 2024-04-03T16:54:17.2134569Z 2024-04-03T16:54:17.2134928Z Finally, some planners need to save additional metadata in the checkpoint, this is 2024-04-03T16:54:17.2135818Z accomplished by having each rank contribute their data items in the local plan and 2024-04-03T16:54:17.2136474Z the global planner aggregate them: 2024-04-03T16:54:17.2136755Z 2024-04-03T16:54:17.2136895Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:17.2137383Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2024-04-03T16:54:17.2137946Z >>> def create_local_plan(self) -> SavePlan: 2024-04-03T16:54:17.2138437Z >>> plan = super().create_local_plan() 2024-04-03T16:54:17.2139142Z >>> return replace(plan, planner_data="per-rank-data") 2024-04-03T16:54:17.2139600Z >>> 2024-04-03T16:54:17.2140216Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2024-04-03T16:54:17.2141042Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2024-04-03T16:54:17.2141661Z >>> merged_data = [p.planner_data for p in global_plan] 2024-04-03T16:54:17.2142378Z >>> metadata = replace(metadata, planner_data=merged_data) 2024-04-03T16:54:17.2142900Z >>> return global_plan, metadata 2024-04-03T16:54:17.2143182Z 2024-04-03T16:54:17.2143583Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.2144069Z 2024-04-03T16:54:17.2277544Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=53. 2024-04-03T16:54:17.2278948Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.2279504Z 2024-04-03T16:54:17.2279684Z Load a distributed ``state_dict`` in SPMD style. 2024-04-03T16:54:17.2280017Z 2024-04-03T16:54:17.2280271Z Each rank will try to read the least amount of data necessary 2024-04-03T16:54:17.2281129Z to fullfill the requested `state_dict`. When loading :class:`ShardedTensor` 2024-04-03T16:54:17.2281977Z or :class:`DTensor` instances, each rank only reads data for their local shards. 2024-04-03T16:54:17.2282482Z 2024-04-03T16:54:17.2282829Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2024-04-03T16:54:17.2283692Z load will first call ``state_dict`` before attempting deserialization, followed by 2024-04-03T16:54:17.2284410Z ``load_state_dict`` once the deserialization is complete. 2024-04-03T16:54:17.2284792Z 2024-04-03T16:54:17.2284908Z .. warning:: 2024-04-03T16:54:17.2285292Z All tensors in ``state_dict`` must be allocated on their 2024-04-03T16:54:17.2285895Z destination device *prior to* calling this function. 2024-04-03T16:54:17.2286326Z 2024-04-03T16:54:17.2286700Z All non-tensor data is loaded using `torch.load()` and modified in place 2024-04-03T16:54:17.2287280Z on state_dict. 2024-04-03T16:54:17.2287457Z 2024-04-03T16:54:17.2287569Z .. warning:: 2024-04-03T16:54:17.2287995Z Users must call `load_state_dict` on the root module to ensure load 2024-04-03T16:54:17.2288724Z pos-processing and non-tensor data properly propagates. 2024-04-03T16:54:17.2289114Z 2024-04-03T16:54:17.2289222Z .. note: 2024-04-03T16:54:17.2289678Z If no process group is initialized, this function can assumesbe the intent 2024-04-03T16:54:17.2290520Z is to load a checkpoint into the local process. This can be useful in the 2024-04-03T16:54:17.2291336Z case of local inference, and when using regular Tensors (as opposed to DTensor 2024-04-03T16:54:17.2291951Z or ShardedTensor) 2024-04-03T16:54:17.2292179Z 2024-04-03T16:54:17.2292272Z .. note: 2024-04-03T16:54:17.2292599Z Rank 0 is assumed to be the coordinator rank. 2024-04-03T16:54:17.2292931Z 2024-04-03T16:54:17.2293020Z Args: 2024-04-03T16:54:17.2293357Z state_dict (Dict[str, Any]): The state_dict to save. 2024-04-03T16:54:17.2293895Z checkpoint_id (Union[str, os.PathLike, None]): 2024-04-03T16:54:17.2294621Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-04-03T16:54:17.2295370Z depends on the storage. It can be a path to a folder or to a file. 2024-04-03T16:54:17.2296110Z It can also be a key if the storage is a key-value store. 2024-04-03T16:54:17.2296617Z (Default: ``None``) 2024-04-03T16:54:17.2296991Z storage_reader (Optional[StorageReader]): 2024-04-03T16:54:17.2297832Z Instance of StorageWriter used to perform reads. If this is not 2024-04-03T16:54:17.2298735Z specified, DCP will automatically infer the reader based on the 2024-04-03T16:54:17.2299956Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-04-03T16:54:17.2300519Z be raised. (Default: ``None``) 2024-04-03T16:54:17.2300931Z planner (Optional[LoadPlanner]): 2024-04-03T16:54:17.2301475Z Instance of LoadPlanner. If this is not specificed, the default 2024-04-03T16:54:17.2302358Z planner will be used. (Default: ``None``) 2024-04-03T16:54:17.2302846Z process_group (Optional[ProcessGroup]): 2024-04-03T16:54:17.2303460Z ProcessGroup to be used for cross-rank synchronization. 2024-04-03T16:54:17.2303966Z (Default: ``None``) 2024-04-03T16:54:17.2304187Z 2024-04-03T16:54:17.2304293Z Returns: 2024-04-03T16:54:17.2304525Z None. 2024-04-03T16:54:17.2304685Z 2024-04-03T16:54:17.2304776Z Examples 2024-04-03T16:54:17.2305139Z >>> # xdoctest: +SKIP 2024-04-03T16:54:17.2305588Z >>> my_model = MyModule() 2024-04-03T16:54:17.2306087Z >>> optimizer = Adagrad(my_model.parameters()) 2024-04-03T16:54:17.2306720Z >>> model_state_dict = my_model.state_dict() 2024-04-03T16:54:17.2307829Z >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader("/checkpoint/1") 2024-04-03T16:54:17.2308407Z 2024-04-03T16:54:17.2308608Z >>> torch.distributed.checkpoint.load_state_dict( 2024-04-03T16:54:17.2309107Z >>> state_dict=model_state_dict, 2024-04-03T16:54:17.2309541Z >>> storage_reader=fs_storage_reader, 2024-04-03T16:54:17.2310014Z >>> ) 2024-04-03T16:54:17.2310216Z 2024-04-03T16:54:17.2310476Z >>> # module.load_state_dict() function might have customized steps 2024-04-03T16:54:17.2311070Z >>> # to flush the state_dict, must call it to 2024-04-03T16:54:17.2311512Z >>> # ensure correct behavior. 2024-04-03T16:54:17.2311941Z >>> my_model.load_state_dict(model_state_dict) 2024-04-03T16:54:17.2312265Z 2024-04-03T16:54:17.2312380Z .. note:: 2024-04-03T16:54:17.2312790Z load_state_dict uses collectives to coordinate reads across ranks. 2024-04-03T16:54:17.2313587Z For NCCL-based process groups, internal tensor representations of 2024-04-03T16:54:17.2314353Z objects must be moved to the GPU device before communication takes place. 2024-04-03T16:54:17.2315186Z In this case, the device used is given by ``torch.cuda.current_device()`` 2024-04-03T16:54:17.2316063Z and it is the user's responsibility to ensure that this is set so that each 2024-04-03T16:54:17.2316808Z rank has an individual GPU, via ``torch.cuda.set_device()``. 2024-04-03T16:54:17.2317214Z 2024-04-03T16:54:17.2317614Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.2318088Z 2024-04-03T16:54:17.2319126Z msg = Cannot scrape callname=save in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=60. 2024-04-03T16:54:17.2320457Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.2320962Z 2024-04-03T16:54:17.2321103Z Save a distributed model in SPMD style. 2024-04-03T16:54:17.2321396Z 2024-04-03T16:54:17.2321654Z This function is different from ``torch.save()`` as it handles 2024-04-03T16:54:17.2322394Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards. 2024-04-03T16:54:17.2322908Z 2024-04-03T16:54:17.2323254Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2024-04-03T16:54:17.2323965Z save will call ``state_dict`` before serialization. 2024-04-03T16:54:17.2324319Z 2024-04-03T16:54:17.2324431Z .. warning:: 2024-04-03T16:54:17.2324903Z There is no guarantees of Backwards Compatibility across PyTorch versions 2024-04-03T16:54:17.2325498Z for saved state_dicts. 2024-04-03T16:54:17.2325716Z 2024-04-03T16:54:17.2325828Z .. warning:: 2024-04-03T16:54:17.2326262Z If using the `process_group` argument, make sure that only its ranks 2024-04-03T16:54:17.2326985Z call `save_state_dict` and that all data in state_dict belong to it. 2024-04-03T16:54:17.2327418Z 2024-04-03T16:54:17.2327570Z .. note:: 2024-04-03T16:54:17.2328133Z When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of 2024-04-03T16:54:17.2329008Z the shard_group should be calling `save_state_dict` and the corresponding process 2024-04-03T16:54:17.2329655Z group needs to be passed in. 2024-04-03T16:54:17.2329906Z 2024-04-03T16:54:17.2330012Z .. note:: 2024-04-03T16:54:17.2330557Z If no process group is available, this function assumes the intention is to save the 2024-04-03T16:54:17.2331228Z state_dict in the local process. 2024-04-03T16:54:17.2331505Z 2024-04-03T16:54:17.2331610Z .. note: 2024-04-03T16:54:17.2331919Z Rank 0 is assumed to be the coordinator rank. 2024-04-03T16:54:17.2332260Z 2024-04-03T16:54:17.2332266Z 2024-04-03T16:54:17.2332354Z Args: 2024-04-03T16:54:17.2332692Z state_dict (Dict[str, Any]): The state_dict to save. 2024-04-03T16:54:17.2333214Z checkpoint_id (Union[str, os.PathLike, None]): 2024-04-03T16:54:17.2333848Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-04-03T16:54:17.2334699Z depends on the storage. It can be a path to a folder or to a file. 2024-04-03T16:54:17.2335434Z It can also be a key if the storage is a key-value store. 2024-04-03T16:54:17.2335944Z (Default: ``None``) 2024-04-03T16:54:17.2336330Z storage_writer (Optional[StorageWriter]): 2024-04-03T16:54:17.2336958Z Instance of StorageWriter used to perform writes. If this is not 2024-04-03T16:54:17.2337742Z specified, DCP will automatically infer the writer based on the 2024-04-03T16:54:17.2338442Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-04-03T16:54:17.2339000Z be raised. (Default: ``None``) 2024-04-03T16:54:17.2339403Z planner (Optional[SavePlanner]): 2024-04-03T16:54:17.2339965Z Instance of SavePlanner. If this is not specificed, the default 2024-04-03T16:54:17.2340556Z planner will be used. (Default: ``None``) 2024-04-03T16:54:17.2341023Z process_group (Optional[ProcessGroup]): 2024-04-03T16:54:17.2341628Z ProcessGroup to be used for cross-rank synchronization. 2024-04-03T16:54:17.2342321Z (Default: ``None``) 2024-04-03T16:54:17.2342541Z 2024-04-03T16:54:17.2342633Z Returns: 2024-04-03T16:54:17.2342984Z Metadata: Metadata object for the saved checkpoint. 2024-04-03T16:54:17.2343341Z 2024-04-03T16:54:17.2343449Z Example: 2024-04-03T16:54:17.2343699Z >>> # xdoctest: +SKIP 2024-04-03T16:54:17.2344032Z >>> my_model = MyModule() 2024-04-03T16:54:17.2344264Z 2024-04-03T16:54:17.2344409Z >>> state_dict = {"model": my_model} 2024-04-03T16:54:17.2344687Z 2024-04-03T16:54:17.2345084Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter("/checkpoint/1") 2024-04-03T16:54:17.2345861Z >>> torch.distributed.checkpoint.save( 2024-04-03T16:54:17.2346308Z >>> state_dict=state_dict, 2024-04-03T16:54:17.2346698Z >>> storage_writer=fs_storage_writer, 2024-04-03T16:54:17.2347099Z >>> ) 2024-04-03T16:54:17.2347240Z 2024-04-03T16:54:17.2347350Z .. note:: 2024-04-03T16:54:17.2347769Z save_state_dict uses collectives to coordinate writes across ranks. 2024-04-03T16:54:17.2348563Z For NCCL-based process groups, internal tensor representations of 2024-04-03T16:54:17.2349326Z objects must be moved to the GPU device before communication takes place. 2024-04-03T16:54:17.2350117Z In this case, the device used is given by ``torch.cuda.current_device()`` 2024-04-03T16:54:17.2350944Z and it is the user's responsibility to ensure that this is set so that 2024-04-03T16:54:17.2351686Z each rank has an individual GPU, via ``torch.cuda.set_device()``. 2024-04-03T16:54:17.2352120Z 2024-04-03T16:54:17.2352522Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.2352998Z 2024-04-03T16:54:17.2353946Z msg = Cannot scrape callname=async_save in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=162. 2024-04-03T16:54:17.2355326Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.2356389Z Asynchronous version of ``save_state_dict``. This code first de-stages the state_dict on CPU, and then calls 2024-04-03T16:54:17.2357152Z `save` in a separate thread. 2024-04-03T16:54:17.2357405Z 2024-04-03T16:54:17.2357508Z .. warning:: 2024-04-03T16:54:17.2357893Z This feature is experimental and subject to change. 2024-04-03T16:54:17.2358257Z 2024-04-03T16:54:17.2358362Z Args: 2024-04-03T16:54:17.2358702Z state_dict (Dict[str, Any]): The state_dict to save. 2024-04-03T16:54:17.2359250Z checkpoint_id (Union[str, os.PathLike, None]): 2024-04-03T16:54:17.2359906Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-04-03T16:54:17.2360640Z depends on the storage. It can be a path to a folder or to a file. 2024-04-03T16:54:17.2361391Z It can also be a key if the storage is a key-value store. 2024-04-03T16:54:17.2361908Z (Default: ``None``) 2024-04-03T16:54:17.2362309Z storage_writer (Optional[StorageWriter]): 2024-04-03T16:54:17.2362913Z Instance of StorageWriter used to perform writes. If this is not 2024-04-03T16:54:17.2363642Z specified, DCP will automatically infer the writer based on the 2024-04-03T16:54:17.2364447Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-04-03T16:54:17.2365069Z be raised. (Default: ``None``) 2024-04-03T16:54:17.2365509Z planner (Optional[SavePlanner]): 2024-04-03T16:54:17.2366075Z Instance of SavePlanner. If this is not specificed, the default 2024-04-03T16:54:17.2366673Z planner will be used. (Default: ``None``) 2024-04-03T16:54:17.2367174Z process_group (Optional[ProcessGroup]): 2024-04-03T16:54:17.2367795Z ProcessGroup to be used for cross-rank synchronization. 2024-04-03T16:54:17.2368308Z (Default: ``None``) 2024-04-03T16:54:17.2368545Z 2024-04-03T16:54:17.2368687Z Returns: 2024-04-03T16:54:17.2369129Z Future: A future holding the resultant Metadata object from `save`. 2024-04-03T16:54:17.2369567Z 2024-04-03T16:54:17.2369674Z Example: 2024-04-03T16:54:17.2369939Z >>> # xdoctest: +SKIP 2024-04-03T16:54:17.2370291Z >>> my_model = MyModule() 2024-04-03T16:54:17.2370541Z 2024-04-03T16:54:17.2370697Z >>> state_dict = {"model": my_model} 2024-04-03T16:54:17.2370999Z 2024-04-03T16:54:17.2371399Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter("/checkpoint/1") 2024-04-03T16:54:17.2372237Z >>> checkpoint_future = torch.distributed.checkpoint.async_save( 2024-04-03T16:54:17.2372832Z >>> state_dict=state_dict, 2024-04-03T16:54:17.2373251Z >>> storage_writer=fs_storage_writer, 2024-04-03T16:54:17.2373661Z >>> ) 2024-04-03T16:54:17.2373914Z >>> 2024-04-03T16:54:17.2374280Z >>> # ... do some work ... 2024-04-03T16:54:17.2374642Z >>> 2024-04-03T16:54:17.2374931Z >>> checkpoint_future.result() 2024-04-03T16:54:17.2375212Z 2024-04-03T16:54:17.2375301Z 2024-04-03T16:54:17.2375829Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.2376310Z 2024-04-03T16:54:17.4802607Z msg = Cannot scrape callname=MixedPrecision in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=113. 2024-04-03T16:54:17.4804117Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.4804616Z 2024-04-03T16:54:17.4804891Z This configures FSDP-native mixed precision training. 2024-04-03T16:54:17.4805260Z 2024-04-03T16:54:17.4805368Z Attributes: 2024-04-03T16:54:17.4805842Z param_dtype (Optional[torch.dtype]): This specifies the dtype for model 2024-04-03T16:54:17.4806587Z parameters during forward and backward and thus the dtype for 2024-04-03T16:54:17.4807292Z forward and backward computation. Outside forward and backward, the 2024-04-03T16:54:17.4808073Z *sharded* parameters are kept in full precision (e.g. for the 2024-04-03T16:54:17.4808773Z optimizer step), and for model checkpointing, the parameters are 2024-04-03T16:54:17.4809429Z always saved in full precision. (Default: ``None``) 2024-04-03T16:54:17.4810062Z reduce_dtype (Optional[torch.dtype]): This specifies the dtype for 2024-04-03T16:54:17.4810850Z gradient reduction (i.e. reduce-scatter or all-reduce). If this is 2024-04-03T16:54:17.4811546Z ``None`` but ``param_dtype`` is not ``None``, then this takes on 2024-04-03T16:54:17.4812211Z the ``param_dtype`` value, still running gradient reduction in low 2024-04-03T16:54:17.4812927Z precision. This is permitted to differ from ``param_dtype``, e.g. 2024-04-03T16:54:17.4813640Z to force gradient reduction to run in full precision. (Default: 2024-04-03T16:54:17.4814236Z ``None``) 2024-04-03T16:54:17.4814695Z buffer_dtype (Optional[torch.dtype]): This specifies the dtype for 2024-04-03T16:54:17.4815415Z buffers. FSDP does not shard buffers. Rather, FSDP casts them to 2024-04-03T16:54:17.4816102Z ``buffer_dtype`` in the first forward pass and keeps them in that 2024-04-03T16:54:17.4816972Z dtype thereafter. For model checkpointing, the buffers are saved 2024-04-03T16:54:17.4817736Z in full precision except for ``LOCAL_STATE_DICT``. (Default: 2024-04-03T16:54:17.4818230Z ``None``) 2024-04-03T16:54:17.4818661Z keep_low_precision_grads (bool): If ``False``, then FSDP upcasts 2024-04-03T16:54:17.4819366Z gradients to full precision after the backward pass in preparation 2024-04-03T16:54:17.4820103Z for the optimizer step. If ``True``, then FSDP keeps the gradients 2024-04-03T16:54:17.4820809Z in the dtype used for gradient reduction, which can save memory if 2024-04-03T16:54:17.4821523Z using a custom optimizer that supports running in low precision. 2024-04-03T16:54:17.4822286Z (Default: ``False``) 2024-04-03T16:54:17.4822778Z cast_forward_inputs (bool): If ``True``, then this FSDP module casts 2024-04-03T16:54:17.4823492Z its forward args and kwargs to ``param_dtype``. This is to ensure 2024-04-03T16:54:17.4824214Z that parameter and input dtypes match for forward computation, as 2024-04-03T16:54:17.4824933Z required by many ops. This may need to be set to ``True`` when only 2024-04-03T16:54:17.4825673Z applying mixed precision to some but not all FSDP modules, in which 2024-04-03T16:54:17.4826490Z case a mixed-precision FSDP submodule needs to recast its inputs. 2024-04-03T16:54:17.4827037Z (Default: ``False``) 2024-04-03T16:54:17.4827601Z cast_root_forward_inputs (bool): If ``True``, then the root FSDP module 2024-04-03T16:54:17.4828317Z casts its forward args and kwargs to ``param_dtype``, overriding 2024-04-03T16:54:17.4829073Z the value of ``cast_forward_inputs``. For non-root FSDP modules, 2024-04-03T16:54:17.4829669Z this does not do anything. (Default: ``True``) 2024-04-03T16:54:17.4830295Z _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies 2024-04-03T16:54:17.4830987Z module classes to ignore for mixed precision when using an 2024-04-03T16:54:17.4831620Z ``auto_wrap_policy``: Modules of these classes will have FSDP 2024-04-03T16:54:17.4832306Z applied to them separately with mixed precision disabled (meaning 2024-04-03T16:54:17.4833026Z that the final FSDP construction would deviate from the specified 2024-04-03T16:54:17.4833708Z policy). If ``auto_wrap_policy`` is not specified, then this does 2024-04-03T16:54:17.4834407Z not do anything. This API is experimental and subject to change. 2024-04-03T16:54:17.4834965Z (Default: ``(_BatchNorm,)``) 2024-04-03T16:54:17.4835231Z 2024-04-03T16:54:17.4835460Z .. note:: This API is experimental and subject to change. 2024-04-03T16:54:17.4835839Z 2024-04-03T16:54:17.4836135Z .. note:: Only floating point tensors are cast to their specified dtypes. 2024-04-03T16:54:17.4836598Z 2024-04-03T16:54:17.4836840Z .. note:: In ``summon_full_params``, parameters are forced to full 2024-04-03T16:54:17.4837378Z precision, but buffers are not. 2024-04-03T16:54:17.4837650Z 2024-04-03T16:54:17.4837930Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when 2024-04-03T16:54:17.4838662Z their inputs are in a low precision like ``float16`` or ``bfloat16``. 2024-04-03T16:54:17.4839479Z Disabling FSDP's mixed precision for those norm modules only means that 2024-04-03T16:54:17.4840219Z the affine parameters are kept in ``float32``. However, this incurs 2024-04-03T16:54:17.4841038Z separate all-gathers and reduce-scatters for those norm modules, which 2024-04-03T16:54:17.4841809Z may be inefficient, so if the workload permits, the user should prefer 2024-04-03T16:54:17.4842462Z to still apply mixed precision to those modules. 2024-04-03T16:54:17.4842807Z 2024-04-03T16:54:17.4843090Z .. note:: By default, if the user passes a model with any ``_BatchNorm`` 2024-04-03T16:54:17.4843811Z modules and specifies an ``auto_wrap_policy``, then the batch norm 2024-04-03T16:54:17.4844541Z modules will have FSDP applied to them separately with mixed precision 2024-04-03T16:54:17.4845266Z disabled. See the ``_module_classes_to_ignore`` argument. 2024-04-03T16:54:17.4845746Z 2024-04-03T16:54:17.4846015Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and 2024-04-03T16:54:17.4846728Z ``cast_forward_inputs=False`` by default. For the root FSDP instance, 2024-04-03T16:54:17.4847380Z its ``cast_root_forward_inputs`` takes precedence over its 2024-04-03T16:54:17.4848058Z ``cast_forward_inputs``. For non-root FSDP instances, their 2024-04-03T16:54:17.4848735Z ``cast_root_forward_inputs`` values are ignored. The default setting is 2024-04-03T16:54:17.4849474Z sufficient for the typical case where each FSDP instance has the same 2024-04-03T16:54:17.4850257Z ``MixedPrecision`` configuration and only needs to cast inputs to the 2024-04-03T16:54:17.4851005Z ``param_dtype`` at the beginning of the model's forward pass. 2024-04-03T16:54:17.4851399Z 2024-04-03T16:54:17.4851692Z .. note:: For nested FSDP instances with different ``MixedPrecision`` 2024-04-03T16:54:17.4852429Z configurations, we recommend setting individual ``cast_forward_inputs`` 2024-04-03T16:54:17.4853198Z values to configure casting inputs or not before each instance's 2024-04-03T16:54:17.4853901Z forward. In such a case, since the casts happen before each FSDP 2024-04-03T16:54:17.4854813Z instance's forward, a parent FSDP instance should have its non-FSDP 2024-04-03T16:54:17.4855572Z submodules run before its FSDP submodules to avoid the activation dtype 2024-04-03T16:54:17.4856341Z being changed due to a different ``MixedPrecision`` configuration. 2024-04-03T16:54:17.4856779Z 2024-04-03T16:54:17.4856894Z Example:: 2024-04-03T16:54:17.4857058Z 2024-04-03T16:54:17.4857228Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:17.4857785Z >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3)) 2024-04-03T16:54:17.4858283Z >>> model[1] = FSDP( 2024-04-03T16:54:17.4858600Z >>> model[1], 2024-04-03T16:54:17.4859200Z >>> mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True), 2024-04-03T16:54:17.4859844Z >>> ) 2024-04-03T16:54:17.4860103Z >>> model = FSDP( 2024-04-03T16:54:17.4860412Z >>> model, 2024-04-03T16:54:17.4860994Z >>> mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True), 2024-04-03T16:54:17.4861634Z >>> ) 2024-04-03T16:54:17.4861806Z 2024-04-03T16:54:17.4862300Z The above shows a working example. On the other hand, if ``model[1]`` 2024-04-03T16:54:17.4863033Z were replaced with ``model[0]``, meaning that the submodule using 2024-04-03T16:54:17.4863750Z different ``MixedPrecision`` ran its forward first, then ``model[1]`` 2024-04-03T16:54:17.4864496Z would incorrectly see ``float16`` activations instead of ``bfloat16`` 2024-04-03T16:54:17.4865062Z ones. 2024-04-03T16:54:17.4865214Z 2024-04-03T16:54:17.4865219Z 2024-04-03T16:54:17.4865651Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.4866146Z 2024-04-03T16:54:17.4952690Z msg = Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=651. 2024-04-03T16:54:17.4954559Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.4955573Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2024-04-03T16:54:17.4956183Z 2024-04-03T16:54:17.4956812Z Also takes (optional) configuration for the model's and optimizer's state dict. 2024-04-03T16:54:17.4957818Z The target module does not have to be a FSDP module. If the target 2024-04-03T16:54:17.4958632Z module is a FSDP module, its ``state_dict_type`` will also be changed. 2024-04-03T16:54:17.4959106Z 2024-04-03T16:54:17.4959720Z .. note:: This API should be called for only the top-level (root) 2024-04-03T16:54:17.4960388Z module. 2024-04-03T16:54:17.4960569Z 2024-04-03T16:54:17.4960938Z .. note:: This API enables users to transparently use the conventional 2024-04-03T16:54:17.4961733Z ``state_dict`` API to take model checkpoints in cases where the 2024-04-03T16:54:17.4962503Z root FSDP module is wrapped by another ``nn.Module``. For example, 2024-04-03T16:54:17.4963402Z the following will ensure ``state_dict`` is called on all non-FSDP 2024-04-03T16:54:17.4964216Z instances, while dispatching into `sharded_state_dict` implementation 2024-04-03T16:54:17.4964795Z for FSDP: 2024-04-03T16:54:17.4965108Z 2024-04-03T16:54:17.4965228Z Example:: 2024-04-03T16:54:17.4965401Z 2024-04-03T16:54:17.4965578Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:17.4966138Z >>> model = DDP(FSDP(...)) 2024-04-03T16:54:17.4966632Z >>> FSDP.set_state_dict_type( 2024-04-03T16:54:17.4967016Z >>> model, 2024-04-03T16:54:17.4967478Z >>> StateDictType.SHARDED_STATE_DICT, 2024-04-03T16:54:17.4968160Z >>> state_dict_config = ShardedStateDictConfig(offload_to_cpu=True), 2024-04-03T16:54:17.4968979Z >>> optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True), 2024-04-03T16:54:17.4969614Z >>> ) 2024-04-03T16:54:17.4970035Z >>> param_state_dict = model.state_dict() 2024-04-03T16:54:17.4970665Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2024-04-03T16:54:17.4971049Z 2024-04-03T16:54:17.4971145Z Args: 2024-04-03T16:54:17.4971547Z module (torch.nn.Module): Root module. 2024-04-03T16:54:17.4972260Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2024-04-03T16:54:17.4973111Z state_dict_config (Optional[StateDictConfig]): the configuration for the 2024-04-03T16:54:17.4973787Z target ``state_dict_type``. 2024-04-03T16:54:17.4974542Z optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration 2024-04-03T16:54:17.4975222Z for the optimizer state dict. 2024-04-03T16:54:17.4975622Z 2024-04-03T16:54:17.4975720Z Returns: 2024-04-03T16:54:17.4976258Z A StateDictSettings that include the previous state_dict type and 2024-04-03T16:54:17.4976839Z configuration for the module. 2024-04-03T16:54:17.4977312Z 2024-04-03T16:54:17.4977943Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.4978426Z 2024-04-03T16:54:17.4979841Z msg = Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=798. 2024-04-03T16:54:17.4981602Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.4982902Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2024-04-03T16:54:17.4983420Z 2024-04-03T16:54:17.4983947Z This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of 2024-04-03T16:54:17.4984804Z :meth:`set_state_dict_type` for the detail. 2024-04-03T16:54:17.4985167Z 2024-04-03T16:54:17.4985312Z Example:: 2024-04-03T16:54:17.4985506Z 2024-04-03T16:54:17.4985684Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:17.4986232Z >>> model = DDP(FSDP(...)) 2024-04-03T16:54:17.4986637Z >>> with FSDP.state_dict_type( 2024-04-03T16:54:17.4987117Z >>> model, 2024-04-03T16:54:17.4987513Z >>> StateDictType.SHARDED_STATE_DICT, 2024-04-03T16:54:17.4988009Z >>> ): 2024-04-03T16:54:17.4988356Z >>> checkpoint = model.state_dict() 2024-04-03T16:54:17.4988732Z 2024-04-03T16:54:17.4988837Z Args: 2024-04-03T16:54:17.4989312Z module (torch.nn.Module): Root module. 2024-04-03T16:54:17.4990007Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2024-04-03T16:54:17.4990867Z state_dict_config (Optional[StateDictConfig]): the model ``state_dict`` 2024-04-03T16:54:17.4991558Z configuration for the target ``state_dict_type``. 2024-04-03T16:54:17.4992298Z optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer 2024-04-03T16:54:17.4993038Z ``state_dict`` configuration for the target ``state_dict_type``. 2024-04-03T16:54:17.4993569Z 2024-04-03T16:54:17.4994181Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.4994735Z 2024-04-03T16:54:17.5013801Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1775. 2024-04-03T16:54:17.5015494Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.5015987Z 2024-04-03T16:54:17.5016412Z Transform the state-dict of an optimizer corresponding to a sharded model. 2024-04-03T16:54:17.5016974Z 2024-04-03T16:54:17.5017462Z The given state-dict can be transformed to one of three types: 2024-04-03T16:54:17.5018860Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict. 2024-04-03T16:54:17.5019582Z 2024-04-03T16:54:17.5019898Z For full optimizer state_dict, all states are unflattened and not sharded. 2024-04-03T16:54:17.5020682Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to 2024-04-03T16:54:17.5021238Z avoid OOM. 2024-04-03T16:54:17.5021405Z 2024-04-03T16:54:17.5021710Z For sharded optimizer state_dict, all states are unflattened but sharded. 2024-04-03T16:54:17.5022647Z CPU only can be specified via :meth:`state_dict_type` to further save 2024-04-03T16:54:17.5023182Z memory. 2024-04-03T16:54:17.5023342Z 2024-04-03T16:54:17.5023640Z For local state_dict, no transformation will be performed. But a state 2024-04-03T16:54:17.5024430Z will be converted from nn.Tensor to ShardedTensor to represent its sharding 2024-04-03T16:54:17.5025062Z nature (this is not supported yet). 2024-04-03T16:54:17.5025334Z 2024-04-03T16:54:17.5025442Z Example:: 2024-04-03T16:54:17.5025604Z 2024-04-03T16:54:17.5025774Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:17.5026418Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2024-04-03T16:54:17.5027096Z >>> from torch.distributed.fsdp import StateDictType 2024-04-03T16:54:17.5027708Z >>> from torch.distributed.fsdp import FullStateDictConfig 2024-04-03T16:54:17.5028378Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2024-04-03T16:54:17.5028918Z >>> # Save a checkpoint 2024-04-03T16:54:17.5029271Z >>> model, optim = ... 2024-04-03T16:54:17.5029627Z >>> FSDP.set_state_dict_type( 2024-04-03T16:54:17.5029980Z >>> model, 2024-04-03T16:54:17.5030317Z >>> StateDictType.FULL_STATE_DICT, 2024-04-03T16:54:17.5030807Z >>> FullStateDictConfig(rank0_only=False), 2024-04-03T16:54:17.5031322Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-04-03T16:54:17.5031778Z >>> ) 2024-04-03T16:54:17.5032066Z >>> state_dict = model.state_dict() 2024-04-03T16:54:17.5032564Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2024-04-03T16:54:17.5033126Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2024-04-03T16:54:17.5033591Z >>> # Load a checkpoint 2024-04-03T16:54:17.5033922Z >>> model, optim = ... 2024-04-03T16:54:17.5034340Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2024-04-03T16:54:17.5034825Z >>> FSDP.set_state_dict_type( 2024-04-03T16:54:17.5035168Z >>> model, 2024-04-03T16:54:17.5035490Z >>> StateDictType.FULL_STATE_DICT, 2024-04-03T16:54:17.5035959Z >>> FullStateDictConfig(rank0_only=False), 2024-04-03T16:54:17.5036570Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-04-03T16:54:17.5037080Z >>> ) 2024-04-03T16:54:17.5037370Z >>> model.load_state_dict(state_dict) 2024-04-03T16:54:17.5037851Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2024-04-03T16:54:17.5038352Z >>> model, optim, optim_state_dict 2024-04-03T16:54:17.5038742Z >>> ) 2024-04-03T16:54:17.5039038Z >>> optim.load_state_dict(optim_state_dict) 2024-04-03T16:54:17.5039365Z 2024-04-03T16:54:17.5039454Z Args: 2024-04-03T16:54:17.5039856Z model (torch.nn.Module): Root module (which may or may not be a 2024-04-03T16:54:17.5040545Z :class:`FullyShardedDataParallel` instance) whose parameters 2024-04-03T16:54:17.5041190Z were passed into the optimizer ``optim``. 2024-04-03T16:54:17.5041824Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2024-04-03T16:54:17.5042330Z parameters. 2024-04-03T16:54:17.5042788Z optim_state_dict (Dict[str, Any]): the target optimizer state_dict to 2024-04-03T16:54:17.5043535Z transform. If the value is None, optim.state_dict() will be used. ( 2024-04-03T16:54:17.5044099Z Default: ``None``) 2024-04-03T16:54:17.5044688Z group (dist.ProcessGroup): Model's process group across which parameters 2024-04-03T16:54:17.5045420Z are sharded or ``None`` if using the default process group. ( 2024-04-03T16:54:17.5046006Z Default: ``None``) 2024-04-03T16:54:17.5046222Z 2024-04-03T16:54:17.5046315Z Returns: 2024-04-03T16:54:17.5046730Z Dict[str, Any]: A :class:`dict` containing the optimizer state for 2024-04-03T16:54:17.5047383Z ``model``. The sharding of the optimizer state is based on 2024-04-03T16:54:17.5047866Z ``state_dict_type``. 2024-04-03T16:54:17.5048090Z 2024-04-03T16:54:17.5048481Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.5048955Z 2024-04-03T16:54:17.5050236Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1872. 2024-04-03T16:54:17.5051869Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.5052365Z 2024-04-03T16:54:17.5052960Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model. 2024-04-03T16:54:17.5053619Z 2024-04-03T16:54:17.5053831Z Given a ``optim_state_dict`` that is transformed through 2024-04-03T16:54:17.5054579Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer 2024-04-03T16:54:17.5055310Z state_dict that can be loaded to ``optim`` which is the optimizer for 2024-04-03T16:54:17.5056024Z ``model``. ``model`` must be sharded by FullyShardedDataParallel. 2024-04-03T16:54:17.5056435Z 2024-04-03T16:54:17.5056598Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:17.5057245Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2024-04-03T16:54:17.5057946Z >>> from torch.distributed.fsdp import StateDictType 2024-04-03T16:54:17.5058539Z >>> from torch.distributed.fsdp import FullStateDictConfig 2024-04-03T16:54:17.5059199Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2024-04-03T16:54:17.5059745Z >>> # Save a checkpoint 2024-04-03T16:54:17.5060077Z >>> model, optim = ... 2024-04-03T16:54:17.5060424Z >>> FSDP.set_state_dict_type( 2024-04-03T16:54:17.5060778Z >>> model, 2024-04-03T16:54:17.5061087Z >>> StateDictType.FULL_STATE_DICT, 2024-04-03T16:54:17.5061560Z >>> FullStateDictConfig(rank0_only=False), 2024-04-03T16:54:17.5062254Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-04-03T16:54:17.5062698Z >>> ) 2024-04-03T16:54:17.5062981Z >>> state_dict = model.state_dict() 2024-04-03T16:54:17.5063412Z >>> original_osd = optim.state_dict() 2024-04-03T16:54:17.5063863Z >>> optim_state_dict = FSDP.optim_state_dict( 2024-04-03T16:54:17.5064411Z >>> model, 2024-04-03T16:54:17.5064767Z >>> optim, 2024-04-03T16:54:17.5065073Z >>> optim_state_dict=original_osd 2024-04-03T16:54:17.5065460Z >>> ) 2024-04-03T16:54:17.5065795Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2024-04-03T16:54:17.5066243Z >>> # Load a checkpoint 2024-04-03T16:54:17.5066586Z >>> model, optim = ... 2024-04-03T16:54:17.5067006Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2024-04-03T16:54:17.5067472Z >>> FSDP.set_state_dict_type( 2024-04-03T16:54:17.5067823Z >>> model, 2024-04-03T16:54:17.5068151Z >>> StateDictType.FULL_STATE_DICT, 2024-04-03T16:54:17.5068603Z >>> FullStateDictConfig(rank0_only=False), 2024-04-03T16:54:17.5069187Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-04-03T16:54:17.5069633Z >>> ) 2024-04-03T16:54:17.5069905Z >>> model.load_state_dict(state_dict) 2024-04-03T16:54:17.5070391Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2024-04-03T16:54:17.5070886Z >>> model, optim, optim_state_dict 2024-04-03T16:54:17.5071266Z >>> ) 2024-04-03T16:54:17.5071575Z >>> optim.load_state_dict(optim_state_dict) 2024-04-03T16:54:17.5071887Z 2024-04-03T16:54:17.5071987Z Args: 2024-04-03T16:54:17.5072376Z model (torch.nn.Module): Root module (which may or may not be a 2024-04-03T16:54:17.5073103Z :class:`FullyShardedDataParallel` instance) whose parameters 2024-04-03T16:54:17.5073703Z were passed into the optimizer ``optim``. 2024-04-03T16:54:17.5074306Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2024-04-03T16:54:17.5074811Z parameters. 2024-04-03T16:54:17.5075284Z optim_state_dict (Dict[str, Any]): The optimizer states to be loaded. 2024-04-03T16:54:17.5076008Z is_named_optimizer (bool): Is this optimizer a NamedOptimizer or 2024-04-03T16:54:17.5076707Z KeyedOptimizer. Only set to True if ``optim`` is TorchRec's 2024-04-03T16:54:17.5077410Z KeyedOptimizer or torch.distributed's NamedOptimizer. 2024-04-03T16:54:17.5078067Z load_directly (bool): If this is set to True, this API will also 2024-04-03T16:54:17.5078746Z call optim.load_state_dict(result) before returning the result. 2024-04-03T16:54:17.5079469Z Otherwise, users are responsible to call ``optim.load_state_dict()`` 2024-04-03T16:54:17.5080044Z (Default: ``False``) 2024-04-03T16:54:17.5080645Z group (dist.ProcessGroup): Model's process group across which parameters 2024-04-03T16:54:17.5081385Z are sharded or ``None`` if using the default process group. ( 2024-04-03T16:54:17.5081914Z Default: ``None``) 2024-04-03T16:54:17.5082132Z 2024-04-03T16:54:17.5082523Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.5083015Z 2024-04-03T16:54:17.5275386Z msg = Cannot scrape callname=_RemoteModule.__init__ in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=136. 2024-04-03T16:54:17.5276842Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.5277353Z 2024-04-03T16:54:17.5277654Z RemoteModule instance can only be created after RPC initialization. 2024-04-03T16:54:17.5278141Z 2024-04-03T16:54:17.5278471Z It creates a user-specified module on a specified remote node. 2024-04-03T16:54:17.5279208Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2024-04-03T16:54:17.5279823Z executed on the remote node. 2024-04-03T16:54:17.5280386Z It takes care of autograd recording to ensure the backward pass propagates 2024-04-03T16:54:17.5281050Z gradients back to the corresponding remote module. 2024-04-03T16:54:17.5281879Z It can be shared across processors using `RPC framework `__, 2024-04-03T16:54:17.5283100Z without incurring any overheads of copying the actual module, 2024-04-03T16:54:17.5284039Z which is equivalent to an :class:`~torch.distributed.rpc.RRef` 2024-04-03T16:54:17.5285170Z pointing to the remote module. 2024-04-03T16:54:17.5285483Z 2024-04-03T16:54:17.5285743Z The arguments of ``forward_async`` and ``forward`` are the same as 2024-04-03T16:54:17.5286436Z the ``forward`` method of the module returned by the ``module_cls``. 2024-04-03T16:54:17.5286864Z 2024-04-03T16:54:17.5287288Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now. 2024-04-03T16:54:17.5287881Z 2024-04-03T16:54:17.5288213Z Particularly, to create a hybrid model, typically the local modules should be 2024-04-03T16:54:17.5289211Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``). 2024-04-03T16:54:17.5290042Z Hybrid Example: 2024-04-03T16:54:17.5290410Z >>> class HybridModel(nn.Module): 2024-04-03T16:54:17.5290823Z >>> def __init__(self): 2024-04-03T16:54:17.5291234Z >>> nn.Module.__init__(self) 2024-04-03T16:54:17.5291767Z >>> self.remote_embedding = RemoteModule(...) 2024-04-03T16:54:17.5292288Z >>> self.local_linear = nn.Linear(...) 2024-04-03T16:54:17.5292833Z 2024-04-03T16:54:17.5293189Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2024-04-03T16:54:17.5294734Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``, 2024-04-03T16:54:17.5295739Z the generated ``RemoteModule`` will have 2 methods in signature of 2024-04-03T16:54:17.5296398Z ``def forward(input: Tensor) -> Tensor:`` and 2024-04-03T16:54:17.5296963Z ``def forward_async(input: Tensor) -> Future[Tensor]:``. 2024-04-03T16:54:17.5297338Z 2024-04-03T16:54:17.5297458Z .. note:: 2024-04-03T16:54:17.5297813Z If the remote module is placed on a cuda device, 2024-04-03T16:54:17.5298477Z any input CPU tensors will be automatically moved to the same cuda device, 2024-04-03T16:54:17.5299540Z and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend. 2024-04-03T16:54:17.5300273Z 2024-04-03T16:54:17.5300366Z Args: 2024-04-03T16:54:17.5300982Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-04-03T16:54:17.5301957Z The device can be a local device or a remote device specified by one of the following remote 2024-04-03T16:54:17.5302821Z formats: 2024-04-03T16:54:17.5302994Z 2024-04-03T16:54:17.5303196Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2024-04-03T16:54:17.5303727Z 2. "/" (ex: "trainer0/cuda:0"). 2024-04-03T16:54:17.5304095Z 2024-04-03T16:54:17.5304431Z In addition, the device field can be optional and the default value is "cpu". 2024-04-03T16:54:17.5305097Z module_cls (nn.Module): For example, 2024-04-03T16:54:17.5305523Z >>> class MyModule(nn.Module): 2024-04-03T16:54:17.5305916Z >>> def forward(input): 2024-04-03T16:54:17.5306304Z >>> return input + 1 2024-04-03T16:54:17.5306742Z >>> 2024-04-03T16:54:17.5307009Z >>> module_cls = MyModule 2024-04-03T16:54:17.5307522Z args (Sequence, optional): args to be passed to ``module_cls``. 2024-04-03T16:54:17.5308199Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2024-04-03T16:54:17.5318930Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2024-04-03T16:54:17.5319904Z to be created. The type object should be decorated by @torch.jit.interface. 2024-04-03T16:54:17.5320822Z If not provided, the generated RemoteModule is not torchscript-able. 2024-04-03T16:54:17.5321618Z Warning, this is an experimental API and susceptible to frequent changes. 2024-04-03T16:54:17.5322107Z 2024-04-03T16:54:17.5322202Z Returns: 2024-04-03T16:54:17.5322678Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-04-03T16:54:17.5323540Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2024-04-03T16:54:17.5324456Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-04-03T16:54:17.5325262Z on the user-provided module on the remote side. 2024-04-03T16:54:17.5325619Z 2024-04-03T16:54:17.5325726Z Example:: 2024-04-03T16:54:17.5326068Z Run the following code in two different processes: 2024-04-03T16:54:17.5326424Z 2024-04-03T16:54:17.5326566Z >>> # xdoctest: +SKIP("distributed") 2024-04-03T16:54:17.5326971Z >>> # On worker 0: 2024-04-03T16:54:17.5327277Z >>> import torch 2024-04-03T16:54:17.5327619Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:17.5328067Z >>> from torch import nn, Tensor 2024-04-03T16:54:17.5328639Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-04-03T16:54:17.5329227Z >>> 2024-04-03T16:54:17.5329550Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-04-03T16:54:17.5330048Z >>> remote_linear_module = RemoteModule( 2024-04-03T16:54:17.5330519Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-04-03T16:54:17.5330950Z >>> ) 2024-04-03T16:54:17.5331231Z >>> input = torch.randn(128, 20) 2024-04-03T16:54:17.5331706Z >>> ret_fut = remote_linear_module.forward_async(input) 2024-04-03T16:54:17.5332190Z >>> ret = ret_fut.wait() 2024-04-03T16:54:17.5332536Z >>> rpc.shutdown() 2024-04-03T16:54:17.5332737Z 2024-04-03T16:54:17.5332879Z >>> # On worker 1: 2024-04-03T16:54:17.5333190Z >>> import torch 2024-04-03T16:54:17.5333541Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:17.5333938Z >>> 2024-04-03T16:54:17.5334374Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-04-03T16:54:17.5334824Z >>> rpc.shutdown() 2024-04-03T16:54:17.5335024Z 2024-04-03T16:54:17.5335423Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.5335925Z 2024-04-03T16:54:17.5337034Z msg = Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=512. 2024-04-03T16:54:17.5338481Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.5338996Z 2024-04-03T16:54:17.5339409Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef. 2024-04-03T16:54:17.5340009Z 2024-04-03T16:54:17.5340427Z This alternate initialization method can be particularly useful if we want to create multiple 2024-04-03T16:54:17.5341433Z RemoteModule instances that share the same underlying module and reduce memory consumption. 2024-04-03T16:54:17.5342005Z 2024-04-03T16:54:17.5342477Z Moreover, this also provides a workaround for passing script RemoteModule over RPC, 2024-04-03T16:54:17.5343250Z which is not supported. The recommended way is as follows: 2024-04-03T16:54:17.5343637Z 2024-04-03T16:54:17.5343798Z 1. the sender creates a RemoteModule; 2024-04-03T16:54:17.5344276Z 2. the sender sends its ``module_rref`` over RPC; 2024-04-03T16:54:17.5345084Z 3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``. 2024-04-03T16:54:17.5345715Z 2024-04-03T16:54:17.5345820Z Example:: 2024-04-03T16:54:17.5346175Z Run the following code in two different processes: 2024-04-03T16:54:17.5346530Z 2024-04-03T16:54:17.5346670Z >>> # xdoctest: +SKIP("distributed") 2024-04-03T16:54:17.5347077Z >>> # On worker 0: 2024-04-03T16:54:17.5347385Z >>> import torch 2024-04-03T16:54:17.5347727Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:17.5348175Z >>> from torch import nn, Tensor 2024-04-03T16:54:17.5348751Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-04-03T16:54:17.5349286Z >>> 2024-04-03T16:54:17.5349623Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-04-03T16:54:17.5350160Z >>> remote_module = RemoteModule( 2024-04-03T16:54:17.5350605Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-04-03T16:54:17.5351028Z >>> ) 2024-04-03T16:54:17.5351328Z >>> 2024-04-03T16:54:17.5351625Z >>> remote_module1 = rpc.rpc_sync( 2024-04-03T16:54:17.5352024Z >>> "worker1/cpu", 2024-04-03T16:54:17.5352406Z >>> RemoteModule.init_from_module_rref, 2024-04-03T16:54:17.5352910Z >>> ("worker1/cpu", remote_module1.get_module_rref()), 2024-04-03T16:54:17.5353376Z >>> ) 2024-04-03T16:54:17.5353635Z >>> rpc.shutdown() 2024-04-03T16:54:17.5353833Z 2024-04-03T16:54:17.5353936Z >>> # On worker 1: 2024-04-03T16:54:17.5354242Z >>> import torch 2024-04-03T16:54:17.5354591Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:17.5354991Z >>> 2024-04-03T16:54:17.5355316Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-04-03T16:54:17.5355810Z >>> rpc.shutdown() 2024-04-03T16:54:17.5356007Z 2024-04-03T16:54:17.5356099Z Args: 2024-04-03T16:54:17.5356731Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-04-03T16:54:17.5357727Z The device can be a local device or a remote device specified by one of the following remote 2024-04-03T16:54:17.5358396Z formats: 2024-04-03T16:54:17.5358581Z 2024-04-03T16:54:17.5358768Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2024-04-03T16:54:17.5359313Z 2. "/" (ex: "trainer0/cuda:0"). 2024-04-03T16:54:17.5359670Z 2024-04-03T16:54:17.5360063Z In addition, the device field can be optional and the default value is "cpu". 2024-04-03T16:54:17.5360948Z module_rref (RRef[nn.Module]): The module reference shared by both the caller and 2024-04-03T16:54:17.5361583Z the created remote module. 2024-04-03T16:54:17.5362219Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2024-04-03T16:54:17.5363071Z to be created. The type object should be decorated by @torch.jit.interface. 2024-04-03T16:54:17.5363940Z If not provided, the generated RemoteModule is not torchscript-able. 2024-04-03T16:54:17.5364731Z Warning, this is an experimental API and susceptible to frequent changes. 2024-04-03T16:54:17.5365212Z 2024-04-03T16:54:17.5365306Z Returns: 2024-04-03T16:54:17.5365778Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-04-03T16:54:17.5366628Z user-provided ``module_rref``, it has a blocking ``forward`` method and an 2024-04-03T16:54:17.5367454Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-04-03T16:54:17.5368188Z on the user-provided module on the remote side. 2024-04-03T16:54:17.5368543Z 2024-04-03T16:54:17.5368925Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.5369407Z 2024-04-03T16:54:17.5370333Z msg = Cannot scrape callname=RemoteModule in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=604. 2024-04-03T16:54:17.5371673Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.5372187Z 2024-04-03T16:54:17.5372485Z A RemoteModule instance can only be created after RPC initialization. 2024-04-03T16:54:17.5372957Z 2024-04-03T16:54:17.5373277Z It creates a user-specified module on a specified remote node. 2024-04-03T16:54:17.5374175Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2024-04-03T16:54:17.5374788Z executed on the remote node. 2024-04-03T16:54:17.5375371Z It takes care of autograd recording to ensure the backward pass propagates 2024-04-03T16:54:17.5376063Z gradients back to the corresponding remote module. 2024-04-03T16:54:17.5376420Z 2024-04-03T16:54:17.5376711Z It generates two methods ``forward_async`` and ``forward`` based on the 2024-04-03T16:54:17.5377466Z signature of the ``forward`` method of ``module_cls``. ``forward_async`` 2024-04-03T16:54:17.5378248Z runs asynchronously and returns a Future. The arguments of ``forward_async`` 2024-04-03T16:54:17.5379052Z and ``forward`` are the same as the ``forward`` method of the module 2024-04-03T16:54:17.5379656Z returned by the ``module_cls``. 2024-04-03T16:54:17.5379936Z 2024-04-03T16:54:17.5380214Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2024-04-03T16:54:17.5381064Z that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``, 2024-04-03T16:54:17.5381853Z the generated ``RemoteModule`` will have 2 methods with the signatures: 2024-04-03T16:54:17.5382425Z 2024-04-03T16:54:17.5382633Z | ``def forward(input: Tensor) -> Tensor:`` 2024-04-03T16:54:17.5383217Z | ``def forward_async(input: Tensor) -> Future[Tensor]:`` 2024-04-03T16:54:17.5383637Z 2024-04-03T16:54:17.5383729Z Args: 2024-04-03T16:54:17.5384350Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-04-03T16:54:17.5385376Z The format should be "/", where the device field can be parsed as torch.device type. 2024-04-03T16:54:17.5386197Z E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0". 2024-04-03T16:54:17.5386912Z In addition, the device field can be optional and the default value is "cpu". 2024-04-03T16:54:17.5387767Z module_cls (nn.Module): Class for the module to be created remotely. For example, 2024-04-03T16:54:17.5388276Z 2024-04-03T16:54:17.5388463Z >>> class MyModule(nn.Module): 2024-04-03T16:54:17.5388859Z >>> def forward(input): 2024-04-03T16:54:17.5389259Z >>> return input + 1 2024-04-03T16:54:17.5389633Z >>> 2024-04-03T16:54:17.5389894Z >>> module_cls = MyModule 2024-04-03T16:54:17.5390159Z 2024-04-03T16:54:17.5390415Z args (Sequence, optional): args to be passed to ``module_cls``. 2024-04-03T16:54:17.5391088Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2024-04-03T16:54:17.5391503Z 2024-04-03T16:54:17.5391599Z Returns: 2024-04-03T16:54:17.5392075Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-04-03T16:54:17.5392935Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2024-04-03T16:54:17.5393759Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-04-03T16:54:17.5394503Z on the user-provided module on the remote side. 2024-04-03T16:54:17.5394858Z 2024-04-03T16:54:17.5394963Z Example:: 2024-04-03T16:54:17.5395320Z Run the following code in two different processes: 2024-04-03T16:54:17.5395675Z 2024-04-03T16:54:17.5395815Z >>> # xdoctest: +SKIP("distributed") 2024-04-03T16:54:17.5396221Z >>> # On worker 0: 2024-04-03T16:54:17.5396528Z >>> import torch 2024-04-03T16:54:17.5396873Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:17.5397326Z >>> from torch import nn, Tensor 2024-04-03T16:54:17.5397900Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-04-03T16:54:17.5398438Z >>> 2024-04-03T16:54:17.5398767Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-04-03T16:54:17.5399268Z >>> remote_linear_module = RemoteModule( 2024-04-03T16:54:17.5399735Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-04-03T16:54:17.5400163Z >>> ) 2024-04-03T16:54:17.5400441Z >>> input = torch.randn(128, 20) 2024-04-03T16:54:17.5400914Z >>> ret_fut = remote_linear_module.forward_async(input) 2024-04-03T16:54:17.5401404Z >>> ret = ret_fut.wait() 2024-04-03T16:54:17.5401750Z >>> rpc.shutdown() 2024-04-03T16:54:17.5401952Z 2024-04-03T16:54:17.5402059Z >>> # On worker 1: 2024-04-03T16:54:17.5402370Z >>> import torch 2024-04-03T16:54:17.5402725Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:17.5403129Z >>> 2024-04-03T16:54:17.5403451Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-04-03T16:54:17.5403904Z >>> rpc.shutdown() 2024-04-03T16:54:17.5404103Z 2024-04-03T16:54:17.5404348Z Furthermore, a more practical example that is combined with 2024-04-03T16:54:17.5405427Z `DistributedDataParallel `__ (DDP) 2024-04-03T16:54:17.5406726Z can be found in this `tutorial `__. 2024-04-03T16:54:17.5407335Z 2024-04-03T16:54:17.5407738Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.5408220Z 2024-04-03T16:54:17.5510174Z msg = Cannot scrape callname=DistributedOptimizer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=127. 2024-04-03T16:54:17.5511570Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.5512237Z 2024-04-03T16:54:17.5512535Z DistributedOptimizer takes remote references to parameters scattered 2024-04-03T16:54:17.5513320Z across workers and applies the given optimizer locally for each parameter. 2024-04-03T16:54:17.5513801Z 2024-04-03T16:54:17.5514126Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order 2024-04-03T16:54:17.5514807Z to retrieve the gradients for specific parameters. 2024-04-03T16:54:17.5515168Z 2024-04-03T16:54:17.5515280Z Concurrent calls to 2024-04-03T16:54:17.5515750Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`, 2024-04-03T16:54:17.5516370Z either from the same or different clients, will 2024-04-03T16:54:17.5517119Z be serialized on each worker -- as each worker's optimizer can only work 2024-04-03T16:54:17.5517884Z on one set of gradients at a time. However, there is no guarantee that 2024-04-03T16:54:17.5518712Z the full forward-backward-optimizer sequence will execute for one client 2024-04-03T16:54:17.5519511Z at a time. This means that the gradients being applied may not correspond 2024-04-03T16:54:17.5520302Z to the latest forward pass executed on a given worker. Also, there is no 2024-04-03T16:54:17.5520900Z guaranteed ordering across workers. 2024-04-03T16:54:17.5521189Z 2024-04-03T16:54:17.5521518Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled 2024-04-03T16:54:17.5522323Z by default, so that optimizer updates are not blocked by the Python Global 2024-04-03T16:54:17.5523114Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed 2024-04-03T16:54:17.5523929Z Model Parallel). This feature is currently enabled for most optimizers. You 2024-04-03T16:54:17.5525073Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support 2024-04-03T16:54:17.5525972Z for your own custom optimizers. 2024-04-03T16:54:17.5526448Z 2024-04-03T16:54:17.5526622Z Args: 2024-04-03T16:54:17.5527129Z optimizer_class (optim.Optimizer): the class of optimizer to 2024-04-03T16:54:17.5527678Z instantiate on each worker. 2024-04-03T16:54:17.5528218Z params_rref (list[RRef]): list of RRefs to local or remote parameters 2024-04-03T16:54:17.5528774Z to optimize. 2024-04-03T16:54:17.5529287Z args: arguments to pass to the optimizer constructor on each worker. 2024-04-03T16:54:17.5530080Z kwargs: arguments to pass to the optimizer constructor on each worker. 2024-04-03T16:54:17.5530553Z 2024-04-03T16:54:17.5530703Z Example:: 2024-04-03T16:54:17.5530995Z >>> # xdoctest: +SKIP("distributed") 2024-04-03T16:54:17.5531491Z >>> import torch.distributed.autograd as dist_autograd 2024-04-03T16:54:17.5532023Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:17.5532466Z >>> from torch import optim 2024-04-03T16:54:17.5532960Z >>> from torch.distributed.optim import DistributedOptimizer 2024-04-03T16:54:17.5533463Z >>> 2024-04-03T16:54:17.5533779Z >>> with dist_autograd.context() as context_id: 2024-04-03T16:54:17.5534326Z >>> # Forward pass. 2024-04-03T16:54:17.5534824Z >>> rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3)) 2024-04-03T16:54:17.5535525Z >>> rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1)) 2024-04-03T16:54:17.5536121Z >>> loss = rref1.to_here() + rref2.to_here() 2024-04-03T16:54:17.5536602Z >>> 2024-04-03T16:54:17.5536922Z >>> # Backward pass. 2024-04-03T16:54:17.5537335Z >>> dist_autograd.backward(context_id, [loss.sum()]) 2024-04-03T16:54:17.5537786Z >>> 2024-04-03T16:54:17.5538037Z >>> # Optimizer. 2024-04-03T16:54:17.5538383Z >>> dist_optim = DistributedOptimizer( 2024-04-03T16:54:17.5538813Z >>> optim.SGD, 2024-04-03T16:54:17.5539142Z >>> [rref1, rref2], 2024-04-03T16:54:17.5539453Z >>> lr=0.05, 2024-04-03T16:54:17.5539741Z >>> ) 2024-04-03T16:54:17.5540023Z >>> dist_optim.step(context_id) 2024-04-03T16:54:17.5540294Z 2024-04-03T16:54:17.5540498Z __ https://github.com/pytorch/tutorials/pull/1465 2024-04-03T16:54:17.5540880Z 2024-04-03T16:54:17.5541295Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.5541789Z 2024-04-03T16:54:17.5543051Z msg = Cannot scrape callname=PostLocalSGDOptimizer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=8. 2024-04-03T16:54:17.5544502Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.5544996Z 2024-04-03T16:54:17.5545618Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD `_, 2024-04-03T16:54:17.5546520Z This optimizer runs local optimizer at every step. 2024-04-03T16:54:17.5547407Z After the warm-up stage, it averages parameters periodically afer the local optimizer is applied. 2024-04-03T16:54:17.5548016Z 2024-04-03T16:54:17.5548122Z Args: 2024-04-03T16:54:17.5548383Z optim: The local optimizer. 2024-04-03T16:54:17.5548991Z averager: A model averager instance to run post-localSGD algorithm. 2024-04-03T16:54:17.5549482Z 2024-04-03T16:54:17.5549587Z Example:: 2024-04-03T16:54:17.5549747Z 2024-04-03T16:54:17.5549923Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:17.5550347Z >>> import torch 2024-04-03T16:54:17.5550695Z >>> import torch.distributed as dist 2024-04-03T16:54:17.5551357Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2024-04-03T16:54:17.5551993Z >>> import torch.nn as nn 2024-04-03T16:54:17.5552494Z >>> from torch.distributed.optim import PostLocalSGDOptimizer 2024-04-03T16:54:17.5553275Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2024-04-03T16:54:17.5553910Z >>> PostLocalSGDState, 2024-04-03T16:54:17.5554266Z >>> post_localSGD_hook, 2024-04-03T16:54:17.5554599Z >>> ) 2024-04-03T16:54:17.5554827Z >>> 2024-04-03T16:54:17.5555175Z >>> model = nn.parallel.DistributedDataParallel( 2024-04-03T16:54:17.5555731Z >>> module, device_ids=[rank], output_device=rank 2024-04-03T16:54:17.5556160Z >>> ) 2024-04-03T16:54:17.5556402Z >>> 2024-04-03T16:54:17.5556792Z >>> # Register a post-localSGD communication hook. 2024-04-03T16:54:17.5557515Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2024-04-03T16:54:17.5558270Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-04-03T16:54:17.5558730Z >>> 2024-04-03T16:54:17.5559194Z >>> # Create a post-localSGD optimizer that wraps a local optimizer. 2024-04-03T16:54:17.5559982Z >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as 2024-04-03T16:54:17.5560720Z >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-04-03T16:54:17.5561373Z >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01) 2024-04-03T16:54:17.5561961Z >>> opt = PostLocalSGDOptimizer( 2024-04-03T16:54:17.5562557Z >>> optim=local_optim, 2024-04-03T16:54:17.5563483Z >>> averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2024-04-03T16:54:17.5564351Z >>> ) 2024-04-03T16:54:17.5564595Z >>> 2024-04-03T16:54:17.5565047Z >>> # In the first 100 steps, DDP runs global gradient averaging at every step. 2024-04-03T16:54:17.5566160Z >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default), 2024-04-03T16:54:17.5567383Z >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer. 2024-04-03T16:54:17.5568210Z >>> for step in range(0, 200): 2024-04-03T16:54:17.5568573Z >>> opt.zero_grad() 2024-04-03T16:54:17.5568942Z >>> loss = loss_fn(output, labels) 2024-04-03T16:54:17.5569350Z >>> loss.backward() 2024-04-03T16:54:17.5569662Z >>> opt.step() 2024-04-03T16:54:17.5569867Z 2024-04-03T16:54:17.5570250Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.5570779Z 2024-04-03T16:54:17.5649691Z msg = Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=281. 2024-04-03T16:54:17.5651256Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.5651763Z 2024-04-03T16:54:17.5652313Z Wrap an arbitrary :class:`optim.Optimizer ` and shards its states across ranks in the group. 2024-04-03T16:54:17.5653008Z 2024-04-03T16:54:17.5653171Z The sharing is done as described by ZeRO_. 2024-04-03T16:54:17.5653497Z 2024-04-03T16:54:17.5653814Z The local optimizer instance in each rank is only 2024-04-03T16:54:17.5654552Z responsible for updating approximately ``1 / world_size`` parameters and 2024-04-03T16:54:17.5655290Z hence only needs to keep ``1 / world_size`` optimizer states. After 2024-04-03T16:54:17.5656055Z parameters are updated locally, each rank will broadcast its parameters to 2024-04-03T16:54:17.5656798Z all other peers to keep all model replicas in the same state. 2024-04-03T16:54:17.5657436Z ``ZeroRedundancyOptimizer`` can be used in conjunction with 2024-04-03T16:54:17.5658267Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak 2024-04-03T16:54:17.5658896Z memory consumption. 2024-04-03T16:54:17.5659088Z 2024-04-03T16:54:17.5659486Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number 2024-04-03T16:54:17.5660277Z of parameters at each rank. Each parameter belongs to a single rank and is 2024-04-03T16:54:17.5661076Z not divided among ranks. The partition is arbitrary and might not match the 2024-04-03T16:54:17.5661726Z the parameter registration or usage order. 2024-04-03T16:54:17.5662219Z 2024-04-03T16:54:17.5662318Z Arguments: 2024-04-03T16:54:17.5662735Z params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s 2024-04-03T16:54:17.5663447Z or :class:`dict` s giving all parameters, which will be sharded 2024-04-03T16:54:17.5663973Z across ranks. 2024-04-03T16:54:17.5664181Z 2024-04-03T16:54:17.5664284Z Keyword Args: 2024-04-03T16:54:17.5664741Z optimizer_class (:class:`torch.nn.Optimizer`): the class of the local 2024-04-03T16:54:17.5665287Z optimizer. 2024-04-03T16:54:17.5665747Z process_group (``ProcessGroup``, optional): ``torch.distributed`` 2024-04-03T16:54:17.5666441Z ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by 2024-04-03T16:54:17.5667038Z :meth:`torch.distributed.init_process_group`). 2024-04-03T16:54:17.5667742Z parameters_as_bucket_view (bool, optional): if ``True``, parameters are 2024-04-03T16:54:17.5668582Z packed into buckets to speed up communication, and ``param.data`` 2024-04-03T16:54:17.5669303Z fields point to bucket views at different offsets; if ``False``, 2024-04-03T16:54:17.5669995Z each individual parameter is communicated separately, and each 2024-04-03T16:54:17.5670627Z ``params.data`` stays intact (default: ``False``). 2024-04-03T16:54:17.5671241Z overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is 2024-04-03T16:54:17.5671974Z overlapped with :class:`DistributedDataParallel` 's gradient 2024-04-03T16:54:17.5672741Z synchronization; this requires (1) either a functional optimizer 2024-04-03T16:54:17.5673470Z for the ``optimizer_class`` argument or one with a functional 2024-04-03T16:54:17.5674100Z equivalent and (2) registering a DDP communication hook 2024-04-03T16:54:17.5674757Z constructed from one of the functions in ``ddp_zero_hook.py``; 2024-04-03T16:54:17.5675400Z parameters are packed into buckets matching those in 2024-04-03T16:54:17.5675983Z :class:`DistributedDataParallel`, meaning that the 2024-04-03T16:54:17.5676560Z ``parameters_as_bucket_view`` argument is ignored. 2024-04-03T16:54:17.5677174Z If ``False``, :meth:`step` runs disjointly after the backward pass 2024-04-03T16:54:17.5677710Z (per normal). 2024-04-03T16:54:17.5678067Z (default: ``False``) 2024-04-03T16:54:17.5678575Z **defaults: any trailing arguments, which are forwarded to the local 2024-04-03T16:54:17.5679124Z optimizer. 2024-04-03T16:54:17.5679304Z 2024-04-03T16:54:17.5679416Z Example:: 2024-04-03T16:54:17.5679578Z 2024-04-03T16:54:17.5679696Z >>> # xdoctest: +SKIP 2024-04-03T16:54:17.5680036Z >>> import torch.nn as nn 2024-04-03T16:54:17.5680536Z >>> from torch.distributed.optim import ZeroRedundancyOptimizer 2024-04-03T16:54:17.5681244Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2024-04-03T16:54:17.5682018Z >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)]) 2024-04-03T16:54:17.5682630Z >>> ddp = DDP(model, device_ids=[rank]) 2024-04-03T16:54:17.5683085Z >>> opt = ZeroRedundancyOptimizer( 2024-04-03T16:54:17.5683507Z >>> ddp.parameters(), 2024-04-03T16:54:17.5683889Z >>> optimizer_class=torch.optim.Adam, 2024-04-03T16:54:17.5684306Z >>> lr=0.01 2024-04-03T16:54:17.5684586Z >>> ) 2024-04-03T16:54:17.5684849Z >>> ddp(inputs).sum().backward() 2024-04-03T16:54:17.5685234Z >>> opt.step() 2024-04-03T16:54:17.5685413Z 2024-04-03T16:54:17.5685530Z .. warning:: 2024-04-03T16:54:17.5686009Z Currently, ``ZeroRedundancyOptimizer`` requires that all of the 2024-04-03T16:54:17.5686682Z passed-in parameters are the same dense type. 2024-04-03T16:54:17.5687019Z 2024-04-03T16:54:17.5687135Z .. warning:: 2024-04-03T16:54:17.5687578Z If you pass ``overlap_with_ddp=True``, be wary of the following: Given 2024-04-03T16:54:17.5688311Z the way that overlapping :class:`DistributedDataParallel` with 2024-04-03T16:54:17.5689048Z :class:`ZeroRedundancyOptimizer` is currently implemented, the first 2024-04-03T16:54:17.5689806Z two or three training iterations do not perform parameter updates in 2024-04-03T16:54:17.5690500Z the optimizer step, depending on if ``static_graph=False`` or 2024-04-03T16:54:17.5691150Z ``static_graph=True``, respectively. This is because it needs 2024-04-03T16:54:17.5691785Z information about the gradient bucketing strategy used by 2024-04-03T16:54:17.5692451Z :class:`DistributedDataParallel`, which is not finalized until the 2024-04-03T16:54:17.5693168Z second forward pass if ``static_graph=False`` or until the third 2024-04-03T16:54:17.5693882Z forward pass if ``static_graph=True``. To adjust for this, one option 2024-04-03T16:54:17.5694545Z is to prepend dummy inputs. 2024-04-03T16:54:17.5694813Z 2024-04-03T16:54:17.5695134Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change. 2024-04-03T16:54:17.5695611Z 2024-04-03T16:54:17.5695791Z .. _ZeRO: https://arxiv.org/abs/1910.02054 2024-04-03T16:54:17.5696098Z 2024-04-03T16:54:17.5696103Z 2024-04-03T16:54:17.5696512Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.5696994Z 2024-04-03T16:54:17.6303341Z msg = Cannot scrape callname=async_execution in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=5. 2024-04-03T16:54:17.6305360Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.6305862Z 2024-04-03T16:54:17.6306391Z A decorator for a function indicating that the return value of the function 2024-04-03T16:54:17.6307302Z is guaranteed to be a :class:`~torch.futures.Future` object and this 2024-04-03T16:54:17.6308149Z function can run asynchronously on the RPC callee. More specifically, the 2024-04-03T16:54:17.6309013Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped 2024-04-03T16:54:17.6309881Z function and installs subsequent processing steps as a callback to that 2024-04-03T16:54:17.6310775Z :class:`~torch.futures.Future`. The installed callback will read the value 2024-04-03T16:54:17.6311651Z from the :class:`~torch.futures.Future` when completed and send the 2024-04-03T16:54:17.6312386Z value back as the RPC response. That also means the returned 2024-04-03T16:54:17.6313238Z :class:`~torch.futures.Future` only exists on the callee side and is never 2024-04-03T16:54:17.6314123Z sent through RPC. This decorator is useful when the wrapped function's 2024-04-03T16:54:17.6314903Z (``fn``) execution needs to pause and resume due to, e.g., containing 2024-04-03T16:54:17.6315691Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals. 2024-04-03T16:54:17.6316185Z 2024-04-03T16:54:17.6316509Z .. note:: To enable asynchronous execution, applications must pass the 2024-04-03T16:54:17.6317313Z function object returned by this decorator to RPC APIs. If RPC detected 2024-04-03T16:54:17.6318193Z attributes installed by this decorator, it knows that this function 2024-04-03T16:54:17.6318957Z returns a ``Future`` object and will handle that accordingly. 2024-04-03T16:54:17.6319715Z However, this does not mean this decorator has to be outmost one when 2024-04-03T16:54:17.6320520Z defining a function. For example, when combined with ``@staticmethod`` 2024-04-03T16:54:17.6321341Z or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the 2024-04-03T16:54:17.6322199Z inner decorator to allow the target function be recognized as a static 2024-04-03T16:54:17.6323044Z or class function. This target function can still execute asynchronously 2024-04-03T16:54:17.6323913Z because, when accessed, the static or class method preserves attributes 2024-04-03T16:54:17.6324631Z installed by ``@rpc.functions.async_execution``. 2024-04-03T16:54:17.6325053Z 2024-04-03T16:54:17.6325058Z 2024-04-03T16:54:17.6325158Z Example:: 2024-04-03T16:54:17.6325653Z The returned :class:`~torch.futures.Future` object can come from 2024-04-03T16:54:17.6326286Z :meth:`~torch.distributed.rpc.rpc_async`, 2024-04-03T16:54:17.6326952Z :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future` 2024-04-03T16:54:17.6327698Z constructor. The example below shows directly using the 2024-04-03T16:54:17.6328335Z :class:`~torch.futures.Future` returned by 2024-04-03T16:54:17.6328871Z :meth:`~torch.futures.Future.then`. 2024-04-03T16:54:17.6329166Z 2024-04-03T16:54:17.6329313Z >>> from torch.distributed import rpc 2024-04-03T16:54:17.6329786Z >>> 2024-04-03T16:54:17.6330074Z >>> # omitting setup and shutdown RPC 2024-04-03T16:54:17.6330527Z >>> 2024-04-03T16:54:17.6330779Z >>> # On all workers 2024-04-03T16:54:17.6331195Z >>> @rpc.functions.async_execution 2024-04-03T16:54:17.6331611Z >>> def async_add_chained(to, x, y, z): 2024-04-03T16:54:17.6332249Z >>> # This function runs on "worker1" and returns immediately when 2024-04-03T16:54:17.6333003Z >>> # the callback is installed through the `then(cb)` API. In the 2024-04-03T16:54:17.6333741Z >>> # mean time, the `rpc_async` to "worker2" can run concurrently. 2024-04-03T16:54:17.6334555Z >>> # When the return value of that `rpc_async` arrives at 2024-04-03T16:54:17.6335259Z >>> # "worker1", "worker1" will run the lambda function accordingly 2024-04-03T16:54:17.6335999Z >>> # and set the value for the previously returned `Future`, which 2024-04-03T16:54:17.6336755Z >>> # will then trigger RPC to send the result back to "worker0". 2024-04-03T16:54:17.6337524Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-04-03T16:54:17.6338128Z >>> lambda fut: fut.wait() + z 2024-04-03T16:54:17.6338539Z >>> ) 2024-04-03T16:54:17.6338800Z >>> 2024-04-03T16:54:17.6339098Z >>> # On worker0 2024-04-03T16:54:17.6339408Z >>> # xdoctest: +SKIP 2024-04-03T16:54:17.6339748Z >>> ret = rpc.rpc_sync( 2024-04-03T16:54:17.6340142Z >>> "worker1", 2024-04-03T16:54:17.6340454Z >>> async_add_chained, 2024-04-03T16:54:17.6340849Z >>> args=("worker2", torch.ones(2), 1, 1) 2024-04-03T16:54:17.6341306Z >>> ) 2024-04-03T16:54:17.6341614Z >>> print(ret) # prints tensor([3., 3.]) 2024-04-03T16:54:17.6341969Z 2024-04-03T16:54:17.6342375Z When combined with TorchScript decorators, this decorator must be the 2024-04-03T16:54:17.6342948Z outmost one. 2024-04-03T16:54:17.6343122Z 2024-04-03T16:54:17.6343249Z >>> from torch import Tensor 2024-04-03T16:54:17.6343726Z >>> from torch.futures import Future 2024-04-03T16:54:17.6344174Z >>> from torch.distributed import rpc 2024-04-03T16:54:17.6344561Z >>> 2024-04-03T16:54:17.6344847Z >>> # omitting setup and shutdown RPC 2024-04-03T16:54:17.6345235Z >>> 2024-04-03T16:54:17.6345473Z >>> # On all workers 2024-04-03T16:54:17.6345804Z >>> @torch.jit.script 2024-04-03T16:54:17.6346345Z >>> def script_add(x: Tensor, y: Tensor) -> Tensor: 2024-04-03T16:54:17.6346794Z >>> return x + y 2024-04-03T16:54:17.6347105Z >>> 2024-04-03T16:54:17.6347443Z >>> @rpc.functions.async_execution 2024-04-03T16:54:17.6347917Z >>> @torch.jit.script 2024-04-03T16:54:17.6348481Z >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]: 2024-04-03T16:54:17.6349243Z >>> return rpc.rpc_async(to, script_add, (x, y)) 2024-04-03T16:54:17.6349770Z >>> 2024-04-03T16:54:17.6350215Z >>> # On worker0 2024-04-03T16:54:17.6350683Z >>> ret = rpc.rpc_sync( 2024-04-03T16:54:17.6351020Z >>> "worker1", 2024-04-03T16:54:17.6351327Z >>> async_add, 2024-04-03T16:54:17.6351667Z >>> args=("worker2", torch.ones(2), 1) 2024-04-03T16:54:17.6352074Z >>> ) 2024-04-03T16:54:17.6352381Z >>> print(ret) # prints tensor([2., 2.]) 2024-04-03T16:54:17.6352689Z 2024-04-03T16:54:17.6353000Z When combined with static or class method, this decorator must be the 2024-04-03T16:54:17.6353555Z inner one. 2024-04-03T16:54:17.6353735Z 2024-04-03T16:54:17.6353884Z >>> from torch.distributed import rpc 2024-04-03T16:54:17.6354357Z >>> 2024-04-03T16:54:17.6354633Z >>> # omitting setup and shutdown RPC 2024-04-03T16:54:17.6355029Z >>> 2024-04-03T16:54:17.6355282Z >>> # On all workers 2024-04-03T16:54:17.6355620Z >>> class AsyncExecutionClass: 2024-04-03T16:54:17.6355988Z >>> 2024-04-03T16:54:17.6356240Z >>> @staticmethod 2024-04-03T16:54:17.6356647Z >>> @rpc.functions.async_execution 2024-04-03T16:54:17.6357106Z >>> def static_async_add(to, x, y, z): 2024-04-03T16:54:17.6357698Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-04-03T16:54:17.6358230Z >>> lambda fut: fut.wait() + z 2024-04-03T16:54:17.6358637Z >>> ) 2024-04-03T16:54:17.6358907Z >>> 2024-04-03T16:54:17.6359147Z >>> @classmethod 2024-04-03T16:54:17.6359504Z >>> @rpc.functions.async_execution 2024-04-03T16:54:17.6359968Z >>> def class_async_add(cls, to, x, y, z): 2024-04-03T16:54:17.6360437Z >>> ret_fut = torch.futures.Future() 2024-04-03T16:54:17.6360956Z >>> rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-04-03T16:54:17.6361520Z >>> lambda fut: ret_fut.set_result(fut.wait() + z) 2024-04-03T16:54:17.6361970Z >>> ) 2024-04-03T16:54:17.6362258Z >>> return ret_fut 2024-04-03T16:54:17.6362588Z >>> 2024-04-03T16:54:17.6362858Z >>> @rpc.functions.async_execution 2024-04-03T16:54:17.6363322Z >>> def bound_async_add(self, to, x, y, z): 2024-04-03T16:54:17.6363955Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-04-03T16:54:17.6364551Z >>> lambda fut: fut.wait() + z 2024-04-03T16:54:17.6364953Z >>> ) 2024-04-03T16:54:17.6365223Z >>> 2024-04-03T16:54:17.6365454Z >>> # On worker0 2024-04-03T16:54:17.6365763Z >>> ret = rpc.rpc_sync( 2024-04-03T16:54:17.6366093Z >>> "worker1", 2024-04-03T16:54:17.6366455Z >>> AsyncExecutionClass.static_async_add, 2024-04-03T16:54:17.6366941Z >>> args=("worker2", torch.ones(2), 1, 2) 2024-04-03T16:54:17.6367345Z >>> ) 2024-04-03T16:54:17.6367672Z >>> print(ret) # prints tensor([4., 4.]) 2024-04-03T16:54:17.6368166Z >>> 2024-04-03T16:54:17.6368424Z >>> ret = rpc.rpc_sync( 2024-04-03T16:54:17.6368743Z >>> "worker1", 2024-04-03T16:54:17.6369113Z >>> AsyncExecutionClass.class_async_add, 2024-04-03T16:54:17.6369595Z >>> args=("worker2", torch.ones(2), 1, 2) 2024-04-03T16:54:17.6369987Z >>> ) 2024-04-03T16:54:17.6370289Z >>> print(ret) # prints tensor([4., 4.]) 2024-04-03T16:54:17.6370595Z 2024-04-03T16:54:17.6370817Z This decorator also works with RRef helpers, i.e., . 2024-04-03T16:54:17.6371380Z :meth:`torch.distributed.rpc.RRef.rpc_sync`, 2024-04-03T16:54:17.6371931Z :meth:`torch.distributed.rpc.RRef.rpc_async`, and 2024-04-03T16:54:17.6372516Z :meth:`torch.distributed.rpc.RRef.remote`. 2024-04-03T16:54:17.6372854Z 2024-04-03T16:54:17.6373003Z >>> from torch.distributed import rpc 2024-04-03T16:54:17.6373470Z >>> 2024-04-03T16:54:17.6373787Z >>> # reuse the AsyncExecutionClass class above 2024-04-03T16:54:17.6374442Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-04-03T16:54:17.6375095Z >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2) 2024-04-03T16:54:17.6375705Z >>> print(ret) # prints tensor([4., 4.]) 2024-04-03T16:54:17.6376098Z >>> 2024-04-03T16:54:17.6376447Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-04-03T16:54:17.6377131Z >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait() 2024-04-03T16:54:17.6377758Z >>> print(ret) # prints tensor([4., 4.]) 2024-04-03T16:54:17.6378172Z >>> 2024-04-03T16:54:17.6378508Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-04-03T16:54:17.6379187Z >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here() 2024-04-03T16:54:17.6379824Z >>> print(ret) # prints tensor([4., 4.]) 2024-04-03T16:54:17.6380126Z 2024-04-03T16:54:17.6380540Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.6381036Z 2024-04-03T16:54:17.6382224Z msg = Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=105. 2024-04-03T16:54:17.6383693Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.6384193Z 2024-04-03T16:54:17.6384471Z Set device mapping between each RPC caller and callee pair. This 2024-04-03T16:54:17.6385120Z function can be called multiple times to incrementally add 2024-04-03T16:54:17.6385653Z device placement configurations. 2024-04-03T16:54:17.6385924Z 2024-04-03T16:54:17.6386011Z Args: 2024-04-03T16:54:17.6386255Z to (str): Callee name. 2024-04-03T16:54:17.6386740Z device_map (Dict of int, str, or torch.device): Device placement 2024-04-03T16:54:17.6387401Z mappings from this worker to the callee. This map must be 2024-04-03T16:54:17.6387900Z invertible. 2024-04-03T16:54:17.6388080Z 2024-04-03T16:54:17.6388172Z Example: 2024-04-03T16:54:17.6388463Z >>> # xdoctest: +SKIP("distributed") 2024-04-03T16:54:17.6388863Z >>> # both workers 2024-04-03T16:54:17.6389153Z >>> def add(x, y): 2024-04-03T16:54:17.6389584Z >>> print(x) # tensor([1., 1.], device='cuda:1') 2024-04-03T16:54:17.6390052Z >>> return x + y, (x + y).to(2) 2024-04-03T16:54:17.6390481Z >>> 2024-04-03T16:54:17.6390767Z >>> # on worker 0 2024-04-03T16:54:17.6391146Z >>> options = TensorPipeRpcBackendOptions( 2024-04-03T16:54:17.6391590Z >>> num_worker_threads=8, 2024-04-03T16:54:17.6391989Z >>> device_maps={"worker1": {0: 1}} 2024-04-03T16:54:17.6392516Z >>> # maps worker0's cuda:0 to worker1's cuda:1 2024-04-03T16:54:17.6392940Z >>> ) 2024-04-03T16:54:17.6393258Z >>> options.set_device_map("worker1", {1: 2}) 2024-04-03T16:54:17.6393800Z >>> # maps worker0's cuda:1 to worker1's cuda:2 2024-04-03T16:54:17.6394304Z >>> 2024-04-03T16:54:17.6394554Z >>> rpc.init_rpc( 2024-04-03T16:54:17.6394862Z >>> "worker0", 2024-04-03T16:54:17.6395194Z >>> rank=0, 2024-04-03T16:54:17.6395543Z >>> world_size=2, 2024-04-03T16:54:17.6395989Z >>> backend=rpc.BackendType.TENSORPIPE, 2024-04-03T16:54:17.6396440Z >>> rpc_backend_options=options 2024-04-03T16:54:17.6396820Z >>> ) 2024-04-03T16:54:17.6397065Z >>> 2024-04-03T16:54:17.6397301Z >>> x = torch.ones(2) 2024-04-03T16:54:17.6397730Z >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1)) 2024-04-03T16:54:17.6398355Z >>> # The first argument will be moved to cuda:1 on worker1. When 2024-04-03T16:54:17.6398999Z >>> # sending the return value back, it will follow the invert of 2024-04-03T16:54:17.6399693Z >>> # the device map, and hence will be moved back to cuda:0 and 2024-04-03T16:54:17.6400211Z >>> # cuda:1 on worker0 2024-04-03T16:54:17.6400679Z >>> print(rets[0]) # tensor([2., 2.], device='cuda:0') 2024-04-03T16:54:17.6401283Z >>> print(rets[1]) # tensor([2., 2.], device='cuda:1') 2024-04-03T16:54:17.6401631Z 2024-04-03T16:54:17.6402029Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.6402509Z 2024-04-03T16:54:17.6620517Z msg = Cannot scrape callname=PrepareModuleInput in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=333. 2024-04-03T16:54:17.6622274Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.6622865Z 2024-04-03T16:54:17.6623577Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to 2024-04-03T16:54:17.6624863Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``. 2024-04-03T16:54:17.6625600Z 2024-04-03T16:54:17.6625756Z Keyword Args: 2024-04-03T16:54:17.6626208Z input_layouts (Union[Placement, Tuple[Placement]]): 2024-04-03T16:54:17.6627727Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2024-04-03T16:54:17.6628922Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2024-04-03T16:54:17.6629699Z as a placeholder. 2024-04-03T16:54:17.6630159Z desired_input_layouts (Union[Placement, Tuple[Placement]]): 2024-04-03T16:54:17.6631098Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2024-04-03T16:54:17.6632289Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. 2024-04-03T16:54:17.6633045Z use_local_output (bool, optional): 2024-04-03T16:54:17.6633828Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2024-04-03T16:54:17.6634575Z Returns: 2024-04-03T16:54:17.6635214Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs. 2024-04-03T16:54:17.6635800Z 2024-04-03T16:54:17.6635913Z Example:: 2024-04-03T16:54:17.6636188Z >>> # xdoctest: +SKIP(failing) 2024-04-03T16:54:17.6636847Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput 2024-04-03T16:54:17.6637815Z >>> from torch.distributed.device_mesh import init_device_mesh 2024-04-03T16:54:17.6638368Z >>> ... 2024-04-03T16:54:17.6638929Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2024-04-03T16:54:17.6639669Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2024-04-03T16:54:17.6640080Z >>> 2024-04-03T16:54:17.6640676Z >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor 2024-04-03T16:54:17.6641491Z >>> # and then redistributed to Replicated DTensor. 2024-04-03T16:54:17.6641959Z >>> parallelize_module( 2024-04-03T16:54:17.6642354Z >>> block, # this can be a submodule or module 2024-04-03T16:54:17.6642803Z >>> tp_mesh, 2024-04-03T16:54:17.6643156Z >>> parallelize_plan={ 2024-04-03T16:54:17.6643530Z >>> "attn": PrepareModuleInput( 2024-04-03T16:54:17.6644018Z >>> input_layouts=(Shard(0), None, None, ...), 2024-04-03T16:54:17.6644584Z >>> desired_input_layouts=(Replicate(), None, None, ...) 2024-04-03T16:54:17.6645071Z >>> ), 2024-04-03T16:54:17.6645328Z >>> } 2024-04-03T16:54:17.6645582Z >>> ) 2024-04-03T16:54:17.6645722Z 2024-04-03T16:54:17.6646128Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.6646608Z 2024-04-03T16:54:17.6647654Z msg = Cannot scrape callname=PrepareModuleOutput in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=414. 2024-04-03T16:54:17.6649063Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.6649571Z 2024-04-03T16:54:17.6650200Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to 2024-04-03T16:54:17.6651335Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``. 2024-04-03T16:54:17.6651917Z 2024-04-03T16:54:17.6652017Z Keyword Args: 2024-04-03T16:54:17.6652450Z output_layouts (Union[Placement, Tuple[Placement]]): 2024-04-03T16:54:17.6653288Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2024-04-03T16:54:17.6654560Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2024-04-03T16:54:17.6655429Z ``None`` need to be specified as a placeholder. 2024-04-03T16:54:17.6656023Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2024-04-03T16:54:17.6656973Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2024-04-03T16:54:17.6657808Z have the desired DTensor layouts. 2024-04-03T16:54:17.6658243Z use_local_output (bool, optional): 2024-04-03T16:54:17.6659032Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2024-04-03T16:54:17.6659772Z Returns: 2024-04-03T16:54:17.6660379Z A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs. 2024-04-03T16:54:17.6660923Z 2024-04-03T16:54:17.6661036Z Example:: 2024-04-03T16:54:17.6661298Z >>> # xdoctest: +SKIP(failing) 2024-04-03T16:54:17.6661974Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput 2024-04-03T16:54:17.6662952Z >>> from torch.distributed.device_mesh import init_device_mesh 2024-04-03T16:54:17.6663465Z >>> ... 2024-04-03T16:54:17.6664027Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2024-04-03T16:54:17.6664770Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2024-04-03T16:54:17.6665187Z >>> 2024-04-03T16:54:17.6665863Z >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor 2024-04-03T16:54:17.6666748Z >>> # and then redistributed to Sharded DTensor. 2024-04-03T16:54:17.6667264Z >>> parallelize_module( 2024-04-03T16:54:17.6667700Z >>> block, # this can be a submodule or module 2024-04-03T16:54:17.6668146Z >>> tp_mesh, 2024-04-03T16:54:17.6668515Z >>> parallelize_plan = PrepareModuleOutput( 2024-04-03T16:54:17.6668989Z >>> output_layouts=Replicate(), 2024-04-03T16:54:17.6669443Z >>> desired_output_layouts=Shard(0) 2024-04-03T16:54:17.6669853Z >>> ) 2024-04-03T16:54:17.6670097Z >>> ) 2024-04-03T16:54:17.6670257Z 2024-04-03T16:54:17.6670653Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.6671138Z 2024-04-03T16:54:17.7319482Z msg = Cannot scrape callname=MixtureSameFamily in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=11. 2024-04-03T16:54:17.7321018Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.7321517Z 2024-04-03T16:54:17.7321833Z The `MixtureSameFamily` distribution implements a (batch of) mixture 2024-04-03T16:54:17.7322599Z distribution where all component are from different parameterizations of 2024-04-03T16:54:17.7323358Z the same distribution type. It is parameterized by a `Categorical` 2024-04-03T16:54:17.7324049Z "selecting distribution" (over `k` component) and a component 2024-04-03T16:54:17.7324796Z distribution, i.e., a `Distribution` with a rightmost batch shape 2024-04-03T16:54:17.7325444Z (equal to `[k]`) which indexes each (batch of) component. 2024-04-03T16:54:17.7325815Z 2024-04-03T16:54:17.7325945Z Examples:: 2024-04-03T16:54:17.7326097Z 2024-04-03T16:54:17.7326243Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:17.7326823Z >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally 2024-04-03T16:54:17.7327395Z >>> # weighted normal distributions 2024-04-03T16:54:17.7327816Z >>> mix = D.Categorical(torch.ones(5,)) 2024-04-03T16:54:17.7328318Z >>> comp = D.Normal(torch.randn(5,), torch.rand(5,)) 2024-04-03T16:54:17.7328818Z >>> gmm = MixtureSameFamily(mix, comp) 2024-04-03T16:54:17.7329121Z 2024-04-03T16:54:17.7329384Z >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally 2024-04-03T16:54:17.7329980Z >>> # weighted bivariate normal distributions 2024-04-03T16:54:17.7330448Z >>> mix = D.Categorical(torch.ones(5,)) 2024-04-03T16:54:17.7330875Z >>> comp = D.Independent(D.Normal( 2024-04-03T16:54:17.7331329Z ... torch.randn(5,2), torch.rand(5,2)), 1) 2024-04-03T16:54:17.7331808Z >>> gmm = MixtureSameFamily(mix, comp) 2024-04-03T16:54:17.7332107Z 2024-04-03T16:54:17.7332358Z >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each 2024-04-03T16:54:17.7333016Z >>> # consisting of 5 random weighted bivariate normal distributions 2024-04-03T16:54:17.7333595Z >>> mix = D.Categorical(torch.rand(3,5)) 2024-04-03T16:54:17.7334125Z >>> comp = D.Independent(D.Normal( 2024-04-03T16:54:17.7334578Z ... torch.randn(3,5,2), torch.rand(3,5,2)), 1) 2024-04-03T16:54:17.7335071Z >>> gmm = MixtureSameFamily(mix, comp) 2024-04-03T16:54:17.7335374Z 2024-04-03T16:54:17.7335481Z Args: 2024-04-03T16:54:17.7335931Z mixture_distribution: `torch.distributions.Categorical`-like 2024-04-03T16:54:17.7336592Z instance. Manages the probability of selecting component. 2024-04-03T16:54:17.7337219Z The number of categories must match the rightmost batch 2024-04-03T16:54:17.7337841Z dimension of the `component_distribution`. Must have either 2024-04-03T16:54:17.7338426Z scalar `batch_shape` or `batch_shape` matching 2024-04-03T16:54:17.7338988Z `component_distribution.batch_shape[:-1]` 2024-04-03T16:54:17.7339639Z component_distribution: `torch.distributions.Distribution`-like 2024-04-03T16:54:17.7340361Z instance. Right-most batch dimension indexes component. 2024-04-03T16:54:17.7340759Z 2024-04-03T16:54:17.7341139Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.7341675Z 2024-04-03T16:54:17.7458828Z msg = Cannot scrape callname=RelaxedBernoulli in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=108. 2024-04-03T16:54:17.7460201Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.7460726Z 2024-04-03T16:54:17.7460965Z Creates a RelaxedBernoulli distribution, parametrized by 2024-04-03T16:54:17.7461596Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits` 2024-04-03T16:54:17.7462427Z (but not both). This is a relaxed version of the `Bernoulli` distribution, 2024-04-03T16:54:17.7463130Z so the values are in (0, 1), and has reparametrizable samples. 2024-04-03T16:54:17.7463636Z 2024-04-03T16:54:17.7463745Z Example:: 2024-04-03T16:54:17.7463895Z 2024-04-03T16:54:17.7464146Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-04-03T16:54:17.7464649Z >>> m = RelaxedBernoulli(torch.tensor([2.2]), 2024-04-03T16:54:17.7465156Z ... torch.tensor([0.1, 0.2, 0.3, 0.99])) 2024-04-03T16:54:17.7465601Z >>> m.sample() 2024-04-03T16:54:17.7465912Z tensor([ 0.2951, 0.3442, 0.8918, 0.9021]) 2024-04-03T16:54:17.7466228Z 2024-04-03T16:54:17.7466316Z Args: 2024-04-03T16:54:17.7466628Z temperature (Tensor): relaxation temperature 2024-04-03T16:54:17.7467182Z probs (Number, Tensor): the probability of sampling `1` 2024-04-03T16:54:17.7467856Z logits (Number, Tensor): the log-odds of sampling `1` 2024-04-03T16:54:17.7468232Z 2024-04-03T16:54:17.7468614Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.7469096Z 2024-04-03T16:54:17.7476935Z msg = Cannot scrape callname=RelaxedOneHotCategorical in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=96. 2024-04-03T16:54:17.7478403Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:17.7478900Z 2024-04-03T16:54:17.7479177Z Creates a RelaxedOneHotCategorical distribution parametrized by 2024-04-03T16:54:17.7479872Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`. 2024-04-03T16:54:17.7480610Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so 2024-04-03T16:54:17.7481294Z its samples are on simplex, and are reparametrizable. 2024-04-03T16:54:17.7481665Z 2024-04-03T16:54:17.7481769Z Example:: 2024-04-03T16:54:17.7481916Z 2024-04-03T16:54:17.7482160Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-04-03T16:54:17.7482698Z >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]), 2024-04-03T16:54:17.7483246Z ... torch.tensor([0.1, 0.2, 0.3, 0.4])) 2024-04-03T16:54:17.7483697Z >>> m.sample() 2024-04-03T16:54:17.7484025Z tensor([ 0.1294, 0.2324, 0.3859, 0.2523]) 2024-04-03T16:54:17.7484327Z 2024-04-03T16:54:17.7484416Z Args: 2024-04-03T16:54:17.7484729Z temperature (Tensor): relaxation temperature 2024-04-03T16:54:17.7485206Z probs (Tensor): event probabilities 2024-04-03T16:54:17.7485734Z logits (Tensor): unnormalized log probability for each event 2024-04-03T16:54:17.7486148Z 2024-04-03T16:54:17.7486529Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:17.7487008Z 2024-04-03T16:54:18.0395303Z msg = Cannot scrape callname=assoc_in in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=229. 2024-04-03T16:54:18.0397494Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.0398352Z Return a new dict with new, potentially nested, key value pair 2024-04-03T16:54:18.0398893Z 2024-04-03T16:54:18.0399065Z >>> purchase = {'name': 'Alice', 2024-04-03T16:54:18.0399771Z ... 'order': {'items': ['Apple', 'Orange'], 2024-04-03T16:54:18.0400506Z ... 'costs': [0.50, 1.25]}, 2024-04-03T16:54:18.0401694Z ... 'credit card': '5555-1234-1234-1234'} 2024-04-03T16:54:18.0402562Z >>> assoc_in(purchase, ['order', 'costs'], [0.25, 1.00]) # doctest: +SKIP 2024-04-03T16:54:18.0403190Z {'credit card': '5555-1234-1234-1234', 2024-04-03T16:54:18.0403699Z 'name': 'Alice', 2024-04-03T16:54:18.0404364Z 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} 2024-04-03T16:54:18.0404911Z 2024-04-03T16:54:18.0405709Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.0406258Z 2024-04-03T16:54:18.0407390Z msg = Cannot scrape callname=update_in in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=244. 2024-04-03T16:54:18.0409068Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.0409797Z Update value in a (potentially) nested dictionary 2024-04-03T16:54:18.0410204Z 2024-04-03T16:54:18.0410303Z inputs: 2024-04-03T16:54:18.0410714Z d - dictionary on which to operate 2024-04-03T16:54:18.0411378Z keys - list or tuple giving the location of the value to be changed in d 2024-04-03T16:54:18.0412113Z func - function to operate on that value 2024-04-03T16:54:18.0412506Z 2024-04-03T16:54:18.0412809Z If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the 2024-04-03T16:54:18.0413739Z original dictionary with v replaced by func(v), but does not mutate the 2024-04-03T16:54:18.0414498Z original dictionary. 2024-04-03T16:54:18.0414846Z 2024-04-03T16:54:18.0415182Z If k0 is not a key in d, update_in creates nested dictionaries to the depth 2024-04-03T16:54:18.0416035Z specified by the keys, with the innermost value set to func(default). 2024-04-03T16:54:18.0416591Z 2024-04-03T16:54:18.0416714Z >>> inc = lambda x: x + 1 2024-04-03T16:54:18.0417212Z >>> update_in({'a': 0}, ['a'], inc) 2024-04-03T16:54:18.0417599Z {'a': 1} 2024-04-03T16:54:18.0417765Z 2024-04-03T16:54:18.0418015Z >>> transaction = {'name': 'Alice', 2024-04-03T16:54:18.0418548Z ... 'purchase': {'items': ['Apple', 'Orange'], 2024-04-03T16:54:18.0419216Z ... 'costs': [0.50, 1.25]}, 2024-04-03T16:54:18.0419902Z ... 'credit card': '5555-1234-1234-1234'} 2024-04-03T16:54:18.0420693Z >>> update_in(transaction, ['purchase', 'costs'], sum) # doctest: +SKIP 2024-04-03T16:54:18.0421395Z {'credit card': '5555-1234-1234-1234', 2024-04-03T16:54:18.0421798Z 'name': 'Alice', 2024-04-03T16:54:18.0422543Z 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} 2024-04-03T16:54:18.0423006Z 2024-04-03T16:54:18.0423178Z >>> # updating a value when k0 is not in d 2024-04-03T16:54:18.0423703Z >>> update_in({}, [1, 2, 3], str, default="bar") 2024-04-03T16:54:18.0424171Z {1: {2: {3: 'bar'}}} 2024-04-03T16:54:18.0424638Z >>> update_in({1: 'foo'}, [2, 3, 4], inc, 0) 2024-04-03T16:54:18.0425145Z {1: 'foo', 2: {3: {4: 1}}} 2024-04-03T16:54:18.0425469Z 2024-04-03T16:54:18.0426053Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.0426568Z 2024-04-03T16:54:18.0427681Z msg = Cannot scrape callname=get_in in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=302. 2024-04-03T16:54:18.0429198Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.0429975Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. 2024-04-03T16:54:18.0430375Z 2024-04-03T16:54:18.0430671Z If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless 2024-04-03T16:54:18.0431406Z ``no_default`` is specified, then it raises KeyError or IndexError. 2024-04-03T16:54:18.0431841Z 2024-04-03T16:54:18.0432177Z ``get_in`` is a generalization of ``operator.getitem`` for nested data 2024-04-03T16:54:18.0432795Z structures such as dictionaries and lists. 2024-04-03T16:54:18.0433108Z 2024-04-03T16:54:18.0433298Z >>> transaction = {'name': 'Alice', 2024-04-03T16:54:18.0433967Z ... 'purchase': {'items': ['Apple', 'Orange'], 2024-04-03T16:54:18.0434590Z ... 'costs': [0.50, 1.25]}, 2024-04-03T16:54:18.0435144Z ... 'credit card': '5555-1234-1234-1234'} 2024-04-03T16:54:18.0435746Z >>> get_in(['purchase', 'items', 0], transaction) 2024-04-03T16:54:18.0436205Z 'Apple' 2024-04-03T16:54:18.0436523Z >>> get_in(['name'], transaction) 2024-04-03T16:54:18.0436900Z 'Alice' 2024-04-03T16:54:18.0437254Z >>> get_in(['purchase', 'total'], transaction) 2024-04-03T16:54:18.0437837Z >>> get_in(['purchase', 'items', 'apple'], transaction) 2024-04-03T16:54:18.0438404Z >>> get_in(['purchase', 'items', 10], transaction) 2024-04-03T16:54:18.0439020Z >>> get_in(['purchase', 'total'], transaction, 0) 2024-04-03T16:54:18.0439507Z 0 2024-04-03T16:54:18.0439807Z >>> get_in(['y'], {}, no_default=True) 2024-04-03T16:54:18.0440235Z Traceback (most recent call last): 2024-04-03T16:54:18.0440614Z ... 2024-04-03T16:54:18.0440942Z KeyError: 'y' 2024-04-03T16:54:18.0441126Z 2024-04-03T16:54:18.0441223Z See Also: 2024-04-03T16:54:18.0441488Z itertoolz.get 2024-04-03T16:54:18.0441780Z operator.getitem 2024-04-03T16:54:18.0442076Z 2024-04-03T16:54:18.0442593Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.0443123Z 2024-04-03T16:54:18.0444111Z msg = Cannot scrape callname=groupby in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=354. 2024-04-03T16:54:18.0445528Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.0446166Z Group a collection by a key function 2024-04-03T16:54:18.0446510Z 2024-04-03T16:54:18.0446808Z >>> names = ['Alice', 'Bob', 'Charlie', 'Dan', 'Edith', 'Frank'] 2024-04-03T16:54:18.0447344Z >>> groupby(len, names) # doctest: +SKIP 2024-04-03T16:54:18.0447956Z {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']} 2024-04-03T16:54:18.0448350Z 2024-04-03T16:54:18.0448491Z >>> iseven = lambda x: x % 2 == 0 2024-04-03T16:54:18.0448979Z >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8]) # doctest: +SKIP 2024-04-03T16:54:18.0449510Z {False: [1, 3, 5, 7], True: [2, 4, 6, 8]} 2024-04-03T16:54:18.0449805Z 2024-04-03T16:54:18.0450038Z Non-callable keys imply grouping on a member. 2024-04-03T16:54:18.0450368Z 2024-04-03T16:54:18.0450624Z >>> groupby('gender', [{'name': 'Alice', 'gender': 'F'}, 2024-04-03T16:54:18.0451199Z ... {'name': 'Bob', 'gender': 'M'}, 2024-04-03T16:54:18.0451804Z ... {'name': 'Charlie', 'gender': 'M'}]) # doctest:+SKIP 2024-04-03T16:54:18.0452381Z {'F': [{'gender': 'F', 'name': 'Alice'}], 2024-04-03T16:54:18.0452852Z 'M': [{'gender': 'M', 'name': 'Bob'}, 2024-04-03T16:54:18.0453329Z {'gender': 'M', 'name': 'Charlie'}]} 2024-04-03T16:54:18.0453628Z 2024-04-03T16:54:18.0453820Z Not to be confused with ``itertools.groupby`` 2024-04-03T16:54:18.0454233Z 2024-04-03T16:54:18.0454331Z See Also: 2024-04-03T16:54:18.0454591Z countby 2024-04-03T16:54:18.0454846Z 2024-04-03T16:54:18.0455352Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.0455845Z 2024-04-03T16:54:18.3985085Z msg = Cannot scrape callname=SyncBatchNorm in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=574. 2024-04-03T16:54:18.3986386Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.3987250Z Applies Batch Normalization over a N-Dimensional input. 2024-04-03T16:54:18.3987773Z 2024-04-03T16:54:18.3988431Z The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper 2024-04-03T16:54:18.3989767Z `Batch Normalization: Accelerating Deep Network Training by Reducing 2024-04-03T16:54:18.3990900Z Internal Covariate Shift `__ . 2024-04-03T16:54:18.3991390Z 2024-04-03T16:54:18.3991508Z .. math:: 2024-04-03T16:54:18.3991686Z 2024-04-03T16:54:18.3992104Z y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta 2024-04-03T16:54:18.3992592Z 2024-04-03T16:54:18.3992975Z The mean and standard-deviation are calculated per-dimension over all 2024-04-03T16:54:18.3993837Z mini-batches of the same process groups. :math:`\gamma` and :math:`\beta` 2024-04-03T16:54:18.3994628Z are learnable parameter vectors of size `C` (where `C` is the input size). 2024-04-03T16:54:18.3995358Z By default, the elements of :math:`\gamma` are sampled from 2024-04-03T16:54:18.3996194Z :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0. 2024-04-03T16:54:18.3997053Z The standard-deviation is calculated via the biased estimator, equivalent to 2024-04-03T16:54:18.3997701Z `torch.var(input, unbiased=False)`. 2024-04-03T16:54:18.3997991Z 2024-04-03T16:54:18.3998329Z Also by default, during training this layer keeps running estimates of its 2024-04-03T16:54:18.3999120Z computed mean and variance, which are then used for normalization during 2024-04-03T16:54:18.3999918Z evaluation. The running estimates are kept with a default :attr:`momentum` 2024-04-03T16:54:18.4000502Z of 0.1. 2024-04-03T16:54:18.4000655Z 2024-04-03T16:54:18.4001009Z If :attr:`track_running_stats` is set to ``False``, this layer then does not 2024-04-03T16:54:18.4001779Z keep running estimates, and batch statistics are instead used during 2024-04-03T16:54:18.4002350Z evaluation time as well. 2024-04-03T16:54:18.4002583Z 2024-04-03T16:54:18.4002700Z .. note:: 2024-04-03T16:54:18.4003153Z This :attr:`momentum` argument is different from one used in optimizer 2024-04-03T16:54:18.4003909Z classes and the conventional notion of momentum. Mathematically, the 2024-04-03T16:54:18.4004542Z update rule for running statistics here is 2024-04-03T16:54:18.4005349Z :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`, 2024-04-03T16:54:18.4006208Z where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the 2024-04-03T16:54:18.4006786Z new observed value. 2024-04-03T16:54:18.4007010Z 2024-04-03T16:54:18.4007444Z Because the Batch Normalization is done for each channel in the ``C`` dimension, computing 2024-04-03T16:54:18.4008430Z statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch 2024-04-03T16:54:18.4009208Z Normalization or Spatio-temporal Batch Normalization. 2024-04-03T16:54:18.4009584Z 2024-04-03T16:54:18.4009778Z Currently :class:`SyncBatchNorm` only supports 2024-04-03T16:54:18.4010476Z :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use 2024-04-03T16:54:18.4011290Z :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert 2024-04-03T16:54:18.4012008Z :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping 2024-04-03T16:54:18.4012542Z Network with DDP. 2024-04-03T16:54:18.4012752Z 2024-04-03T16:54:18.4012844Z Args: 2024-04-03T16:54:18.4013207Z num_features: :math:`C` from an expected input of size 2024-04-03T16:54:18.4013687Z :math:`(N, C, +)` 2024-04-03T16:54:18.4014273Z eps: a value added to the denominator for numerical stability. 2024-04-03T16:54:18.4014855Z Default: ``1e-5`` 2024-04-03T16:54:18.4015326Z momentum: the value used for the running_mean and running_var 2024-04-03T16:54:18.4016025Z computation. Can be set to ``None`` for cumulative moving average 2024-04-03T16:54:18.4016623Z (i.e. simple average). Default: 0.1 2024-04-03T16:54:18.4017211Z affine: a boolean value that when set to ``True``, this module has 2024-04-03T16:54:18.4017830Z learnable affine parameters. Default: ``True`` 2024-04-03T16:54:18.4018515Z track_running_stats: a boolean value that when set to ``True``, this 2024-04-03T16:54:18.4019329Z module tracks the running mean and variance, and when set to ``False``, 2024-04-03T16:54:18.4020093Z this module does not track such statistics, and initializes statistics 2024-04-03T16:54:18.4020834Z buffers :attr:`running_mean` and :attr:`running_var` as ``None``. 2024-04-03T16:54:18.4021594Z When these buffers are ``None``, this module always uses batch statistics. 2024-04-03T16:54:18.4022472Z in both training and eval modes. Default: ``True`` 2024-04-03T16:54:18.4023159Z process_group: synchronization of stats happen within each process group 2024-04-03T16:54:18.4023998Z individually. Default behavior is synchronization across the whole 2024-04-03T16:54:18.4024592Z world 2024-04-03T16:54:18.4024777Z 2024-04-03T16:54:18.4024924Z Shape: 2024-04-03T16:54:18.4025247Z - Input: :math:`(N, C, +)` 2024-04-03T16:54:18.4025735Z - Output: :math:`(N, C, +)` (same shape as input) 2024-04-03T16:54:18.4026091Z 2024-04-03T16:54:18.4026197Z .. note:: 2024-04-03T16:54:18.4026685Z Synchronization of batchnorm statistics occurs only while training, i.e. 2024-04-03T16:54:18.4027428Z synchronization is disabled when ``model.eval()`` is set or if 2024-04-03T16:54:18.4028076Z ``self.training`` is otherwise ``False``. 2024-04-03T16:54:18.4028409Z 2024-04-03T16:54:18.4028512Z Examples:: 2024-04-03T16:54:18.4028675Z 2024-04-03T16:54:18.4028800Z >>> # xdoctest: +SKIP 2024-04-03T16:54:18.4029157Z >>> # With Learnable Parameters 2024-04-03T16:54:18.4029579Z >>> m = nn.SyncBatchNorm(100) 2024-04-03T16:54:18.4030021Z >>> # creating process group (optional) 2024-04-03T16:54:18.4030517Z >>> # ranks is a list of int identifying rank ids. 2024-04-03T16:54:18.4030988Z >>> ranks = list(range(8)) 2024-04-03T16:54:18.4031377Z >>> r1, r2 = ranks[:4], ranks[4:] 2024-04-03T16:54:18.4031844Z >>> # Note: every rank calls into new_group for every 2024-04-03T16:54:18.4032403Z >>> # process group created, even if that rank is not 2024-04-03T16:54:18.4032885Z >>> # part of the group. 2024-04-03T16:54:18.4033449Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2024-04-03T16:54:18.4045280Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2024-04-03T16:54:18.4045867Z >>> # Without Learnable Parameters 2024-04-03T16:54:18.4046462Z >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group) 2024-04-03T16:54:18.4047060Z >>> input = torch.randn(20, 100, 35, 45, 10) 2024-04-03T16:54:18.4047513Z >>> output = m(input) 2024-04-03T16:54:18.4047757Z 2024-04-03T16:54:18.4047913Z >>> # network is nn.BatchNorm layer 2024-04-03T16:54:18.4048577Z >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group) 2024-04-03T16:54:18.4049330Z >>> # only single gpu per process is currently supported 2024-04-03T16:54:18.4050013Z >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel( 2024-04-03T16:54:18.4050616Z >>> sync_bn_network, 2024-04-03T16:54:18.4051102Z >>> device_ids=[args.local_rank], 2024-04-03T16:54:18.4051657Z >>> output_device=args.local_rank) 2024-04-03T16:54:18.4052077Z 2024-04-03T16:54:18.4052647Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.4053137Z 2024-04-03T16:54:18.4054236Z msg = Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=790. 2024-04-03T16:54:18.4055641Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.4056676Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers. 2024-04-03T16:54:18.4057312Z 2024-04-03T16:54:18.4057409Z Args: 2024-04-03T16:54:18.4057906Z module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers 2024-04-03T16:54:18.4058695Z process_group (optional): process group to scope synchronization, 2024-04-03T16:54:18.4059272Z default is the whole world 2024-04-03T16:54:18.4059577Z 2024-04-03T16:54:18.4059678Z Returns: 2024-04-03T16:54:18.4060201Z The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm` 2024-04-03T16:54:18.4060999Z layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer, 2024-04-03T16:54:18.4061800Z a new :class:`torch.nn.SyncBatchNorm` layer object will be returned 2024-04-03T16:54:18.4062601Z instead. 2024-04-03T16:54:18.4062787Z 2024-04-03T16:54:18.4062898Z Example:: 2024-04-03T16:54:18.4063086Z 2024-04-03T16:54:18.4063247Z >>> # Network with nn.BatchNorm layer 2024-04-03T16:54:18.4063763Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-04-03T16:54:18.4064284Z >>> module = torch.nn.Sequential( 2024-04-03T16:54:18.4064741Z >>> torch.nn.Linear(20, 100), 2024-04-03T16:54:18.4065227Z >>> torch.nn.BatchNorm1d(100), 2024-04-03T16:54:18.4065714Z >>> ).cuda() 2024-04-03T16:54:18.4066110Z >>> # creating process group (optional) 2024-04-03T16:54:18.4066636Z >>> # ranks is a list of int identifying rank ids. 2024-04-03T16:54:18.4067123Z >>> ranks = list(range(8)) 2024-04-03T16:54:18.4067526Z >>> r1, r2 = ranks[:4], ranks[4:] 2024-04-03T16:54:18.4068036Z >>> # Note: every rank calls into new_group for every 2024-04-03T16:54:18.4068634Z >>> # process group created, even if that rank is not 2024-04-03T16:54:18.4069111Z >>> # part of the group. 2024-04-03T16:54:18.4069543Z >>> # xdoctest: +SKIP("distributed") 2024-04-03T16:54:18.4070187Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2024-04-03T16:54:18.4070941Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2024-04-03T16:54:18.4071780Z >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group) 2024-04-03T16:54:18.4072350Z 2024-04-03T16:54:18.4072442Z 2024-04-03T16:54:18.4072989Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.4073468Z 2024-04-03T16:54:18.4232126Z msg = Cannot scrape callname=Unflatten in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=56. 2024-04-03T16:54:18.4233391Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.4233891Z 2024-04-03T16:54:18.4234364Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`. 2024-04-03T16:54:18.4234952Z 2024-04-03T16:54:18.4235330Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can 2024-04-03T16:54:18.4236170Z be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively. 2024-04-03T16:54:18.4236669Z 2024-04-03T16:54:18.4237106Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be 2024-04-03T16:54:18.4238078Z a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input; a `NamedShape` 2024-04-03T16:54:18.4238840Z (tuple of `(name, size)` tuples) for `NamedTensor` input. 2024-04-03T16:54:18.4239210Z 2024-04-03T16:54:18.4239304Z Shape: 2024-04-03T16:54:18.4239940Z - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at 2024-04-03T16:54:18.4240773Z dimension :attr:`dim` and :math:`*` means any number of dimensions including none. 2024-04-03T16:54:18.4241818Z - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and 2024-04-03T16:54:18.4242508Z :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`. 2024-04-03T16:54:18.4242853Z 2024-04-03T16:54:18.4242957Z Args: 2024-04-03T16:54:18.4243279Z dim (Union[int, str]): Dimension to be unflattened 2024-04-03T16:54:18.4244116Z unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension 2024-04-03T16:54:18.4244742Z 2024-04-03T16:54:18.4244839Z Examples: 2024-04-03T16:54:18.4245120Z >>> input = torch.randn(2, 50) 2024-04-03T16:54:18.4245493Z >>> # With tuple of ints 2024-04-03T16:54:18.4245840Z >>> m = nn.Sequential( 2024-04-03T16:54:18.4246178Z >>> nn.Linear(50, 50), 2024-04-03T16:54:18.4246586Z >>> nn.Unflatten(1, (2, 5, 5)) 2024-04-03T16:54:18.4246956Z >>> ) 2024-04-03T16:54:18.4247216Z >>> output = m(input) 2024-04-03T16:54:18.4247533Z >>> output.size() 2024-04-03T16:54:18.4247849Z torch.Size([2, 2, 5, 5]) 2024-04-03T16:54:18.4248182Z >>> # With torch.Size 2024-04-03T16:54:18.4248516Z >>> m = nn.Sequential( 2024-04-03T16:54:18.4248850Z >>> nn.Linear(50, 50), 2024-04-03T16:54:18.4249231Z >>> nn.Unflatten(1, torch.Size([2, 5, 5])) 2024-04-03T16:54:18.4249647Z >>> ) 2024-04-03T16:54:18.4249905Z >>> output = m(input) 2024-04-03T16:54:18.4250216Z >>> output.size() 2024-04-03T16:54:18.4250569Z torch.Size([2, 2, 5, 5]) 2024-04-03T16:54:18.4250953Z >>> # With namedshape (tuple of tuples) 2024-04-03T16:54:18.4251512Z >>> input = torch.randn(2, 50, names=('N', 'features')) 2024-04-03T16:54:18.4252212Z >>> unflatten = nn.Unflatten('features', (('C', 2), ('H', 5), ('W', 5))) 2024-04-03T16:54:18.4252786Z >>> output = unflatten(input) 2024-04-03T16:54:18.4253153Z >>> output.size() 2024-04-03T16:54:18.4253453Z torch.Size([2, 2, 5, 5]) 2024-04-03T16:54:18.4253691Z 2024-04-03T16:54:18.4254144Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.4254622Z 2024-04-03T16:54:18.4573497Z msg = Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1530. 2024-04-03T16:54:18.4574953Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.4575718Z Creates a criterion that measures the triplet loss given input 2024-04-03T16:54:18.4576439Z tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor, 2024-04-03T16:54:18.4577145Z positive, and negative examples, respectively), and a nonnegative, 2024-04-03T16:54:18.4577964Z real-valued function ("distance function") used to compute the relationship 2024-04-03T16:54:18.4578760Z between the anchor and positive example ("positive distance") and the 2024-04-03T16:54:18.4579413Z anchor and negative example ("negative distance"). 2024-04-03T16:54:18.4579768Z 2024-04-03T16:54:18.4580123Z The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``) 2024-04-03T16:54:18.4580669Z can be described as: 2024-04-03T16:54:18.4580902Z 2024-04-03T16:54:18.4581019Z .. math:: 2024-04-03T16:54:18.4581377Z \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad 2024-04-03T16:54:18.4582009Z l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\} 2024-04-03T16:54:18.4582572Z 2024-04-03T16:54:18.4582998Z where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function 2024-04-03T16:54:18.4583908Z quantifying the closeness of two tensors, referred to as the :attr:`distance_function`; 2024-04-03T16:54:18.4584798Z and :math:`margin` is a nonnegative margin representing the minimum difference 2024-04-03T16:54:18.4585622Z between the positive and negative distances that is required for the loss to 2024-04-03T16:54:18.4586447Z be 0. The input tensors have :math:`N` elements each and can be of any shape 2024-04-03T16:54:18.4587087Z that the distance function can handle. 2024-04-03T16:54:18.4587390Z 2024-04-03T16:54:18.4587736Z If :attr:`reduction` is not ``'none'`` 2024-04-03T16:54:18.4588251Z (default ``'mean'``), then: 2024-04-03T16:54:18.4588498Z 2024-04-03T16:54:18.4588615Z .. math:: 2024-04-03T16:54:18.4588871Z \ell(x, y) = 2024-04-03T16:54:18.4589168Z \begin{cases} 2024-04-03T16:54:18.4589709Z \operatorname{mean}(L), & \text{if reduction} = \text{`mean';}\\ 2024-04-03T16:54:18.4590463Z \operatorname{sum}(L), & \text{if reduction} = \text{`sum'.} 2024-04-03T16:54:18.4591026Z \end{cases} 2024-04-03T16:54:18.4591204Z 2024-04-03T16:54:18.4591536Z See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet 2024-04-03T16:54:18.4592411Z loss for input tensors using the :math:`l_p` distance as the distance function. 2024-04-03T16:54:18.4592972Z 2024-04-03T16:54:18.4593068Z Args: 2024-04-03T16:54:18.4593660Z distance_function (Callable, optional): A nonnegative, real-valued function that 2024-04-03T16:54:18.4594436Z quantifies the closeness of two tensors. If not specified, 2024-04-03T16:54:18.4595067Z `nn.PairwiseDistance` will be used. Default: ``None`` 2024-04-03T16:54:18.4595823Z margin (float, optional): A nonnegative margin representing the minimum difference 2024-04-03T16:54:18.4596717Z between the positive and negative distances required for the loss to be 0. Larger 2024-04-03T16:54:18.4597677Z margins penalize cases where the negative examples are not distant enough from the 2024-04-03T16:54:18.4598450Z anchors, relative to the positives. Default: :math:`1`. 2024-04-03T16:54:18.4599179Z swap (bool, optional): Whether to use the distance swap described in the paper 2024-04-03T16:54:18.4600013Z `Learning shallow convolutional feature descriptors with triplet losses` by 2024-04-03T16:54:18.4600869Z V. Balntas, E. Riba et al. If True, and if the positive example is closer to the 2024-04-03T16:54:18.4601759Z negative example than the anchor is, swaps the positive example and the anchor in 2024-04-03T16:54:18.4602468Z the loss computation. Default: ``False``. 2024-04-03T16:54:18.4603165Z reduction (str, optional): Specifies the (optional) reduction to apply to the output: 2024-04-03T16:54:18.4604049Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2024-04-03T16:54:18.4604822Z ``'mean'``: the sum of the output will be divided by the number of 2024-04-03T16:54:18.4605645Z elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'`` 2024-04-03T16:54:18.4606158Z 2024-04-03T16:54:18.4606164Z 2024-04-03T16:54:18.4606263Z Shape: 2024-04-03T16:54:18.4606829Z - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions 2024-04-03T16:54:18.4607494Z as supported by the distance function. 2024-04-03T16:54:18.4608246Z - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar 2024-04-03T16:54:18.4608904Z otherwise. 2024-04-03T16:54:18.4609092Z 2024-04-03T16:54:18.4609209Z Examples:: 2024-04-03T16:54:18.4609375Z 2024-04-03T16:54:18.4609493Z >>> # Initialize embeddings 2024-04-03T16:54:18.4609889Z >>> embedding = nn.Embedding(1000, 128) 2024-04-03T16:54:18.4610364Z >>> anchor_ids = torch.randint(0, 1000, (1,)) 2024-04-03T16:54:18.4610843Z >>> positive_ids = torch.randint(0, 1000, (1,)) 2024-04-03T16:54:18.4611348Z >>> negative_ids = torch.randint(0, 1000, (1,)) 2024-04-03T16:54:18.4611813Z >>> anchor = embedding(anchor_ids) 2024-04-03T16:54:18.4612233Z >>> positive = embedding(positive_ids) 2024-04-03T16:54:18.4612678Z >>> negative = embedding(negative_ids) 2024-04-03T16:54:18.4613131Z >>> 2024-04-03T16:54:18.4613430Z >>> # Built-in Distance Function 2024-04-03T16:54:18.4613826Z >>> triplet_loss = \ 2024-04-03T16:54:18.4614550Z >>> nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance()) 2024-04-03T16:54:18.4615293Z >>> output = triplet_loss(anchor, positive, negative) 2024-04-03T16:54:18.4615768Z >>> output.backward() 2024-04-03T16:54:18.4616079Z >>> 2024-04-03T16:54:18.4616335Z >>> # Custom Distance Function 2024-04-03T16:54:18.4616719Z >>> def l_infinity(x1, x2): 2024-04-03T16:54:18.4617239Z >>> return torch.max(torch.abs(x1 - x2), dim=1).values 2024-04-03T16:54:18.4617681Z >>> 2024-04-03T16:54:18.4618077Z >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time") 2024-04-03T16:54:18.4618608Z >>> triplet_loss = ( 2024-04-03T16:54:18.4619162Z >>> nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5)) 2024-04-03T16:54:18.4619935Z >>> output = triplet_loss(anchor, positive, negative) 2024-04-03T16:54:18.4620404Z >>> output.backward() 2024-04-03T16:54:18.4620700Z >>> 2024-04-03T16:54:18.4620988Z >>> # Custom Distance Function (Lambda) 2024-04-03T16:54:18.4621409Z >>> triplet_loss = ( 2024-04-03T16:54:18.4621786Z >>> nn.TripletMarginWithDistanceLoss( 2024-04-03T16:54:18.4622687Z >>> distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y))) 2024-04-03T16:54:18.4623327Z >>> output = triplet_loss(anchor, positive, negative) 2024-04-03T16:54:18.4623800Z >>> output.backward() 2024-04-03T16:54:18.4624014Z 2024-04-03T16:54:18.4624178Z Reference: 2024-04-03T16:54:18.4624765Z V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses: 2024-04-03T16:54:18.4625583Z http://www.bmva.org/bmvc/2016/papers/paper119/index.html 2024-04-03T16:54:18.4626059Z 2024-04-03T16:54:18.4626588Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17)) 2024-04-03T16:54:18.4627077Z 2024-04-03T16:54:18.5147586Z msg = Cannot scrape callname=MaxUnpool2d in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=327. 2024-04-03T16:54:18.5148873Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.5149567Z Computes a partial inverse of :class:`MaxPool2d`. 2024-04-03T16:54:18.5149944Z 2024-04-03T16:54:18.5150381Z :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost. 2024-04-03T16:54:18.5150893Z 2024-04-03T16:54:18.5151197Z :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d` 2024-04-03T16:54:18.5151991Z including the indices of the maximal values and computes a partial inverse 2024-04-03T16:54:18.5152720Z in which all non-maximal values are set to zero. 2024-04-03T16:54:18.5153066Z 2024-04-03T16:54:18.5153174Z Note: 2024-04-03T16:54:18.5153725Z This operation may behave nondeterministically when the input indices has repeat values. 2024-04-03T16:54:18.5154807Z See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information. 2024-04-03T16:54:18.5155456Z 2024-04-03T16:54:18.5155789Z .. note:: :class:`MaxPool2d` can map several input sizes to the same output 2024-04-03T16:54:18.5156479Z sizes. Hence, the inversion process can get ambiguous. 2024-04-03T16:54:18.5157131Z To accommodate this, you can provide the needed output size 2024-04-03T16:54:18.5157835Z as an additional argument :attr:`output_size` in the forward call. 2024-04-03T16:54:18.5158445Z See the Inputs and Example below. 2024-04-03T16:54:18.5158756Z 2024-04-03T16:54:18.5158852Z Args: 2024-04-03T16:54:18.5159241Z kernel_size (int or tuple): Size of the max pooling window. 2024-04-03T16:54:18.5159874Z stride (int or tuple): Stride of the max pooling window. 2024-04-03T16:54:18.5160434Z It is set to :attr:`kernel_size` by default. 2024-04-03T16:54:18.5161029Z padding (int or tuple): Padding that was added to the input 2024-04-03T16:54:18.5161437Z 2024-04-03T16:54:18.5161547Z Inputs: 2024-04-03T16:54:18.5162020Z - `input`: the input Tensor to invert 2024-04-03T16:54:18.5162736Z - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d` 2024-04-03T16:54:18.5163432Z - `output_size` (optional): the targeted output size 2024-04-03T16:54:18.5163796Z 2024-04-03T16:54:18.5163892Z Shape: 2024-04-03T16:54:18.5164376Z - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`. 2024-04-03T16:54:18.5165189Z - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where 2024-04-03T16:54:18.5165662Z 2024-04-03T16:54:18.5165780Z .. math:: 2024-04-03T16:54:18.5166456Z H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]} 2024-04-03T16:54:18.5167097Z 2024-04-03T16:54:18.5167198Z .. math:: 2024-04-03T16:54:18.5167878Z W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]} 2024-04-03T16:54:18.5168447Z 2024-04-03T16:54:18.5168678Z or as given by :attr:`output_size` in the call operator 2024-04-03T16:54:18.5169078Z 2024-04-03T16:54:18.5169183Z Example:: 2024-04-03T16:54:18.5169344Z 2024-04-03T16:54:18.5169577Z >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True) 2024-04-03T16:54:18.5170118Z >>> unpool = nn.MaxUnpool2d(2, stride=2) 2024-04-03T16:54:18.5170648Z >>> input = torch.tensor([[[[ 1., 2., 3., 4.], 2024-04-03T16:54:18.5171141Z [ 5., 6., 7., 8.], 2024-04-03T16:54:18.5171607Z [ 9., 10., 11., 12.], 2024-04-03T16:54:18.5172058Z [13., 14., 15., 16.]]]]) 2024-04-03T16:54:18.5172521Z >>> output, indices = pool(input) 2024-04-03T16:54:18.5172943Z >>> unpool(output, indices) 2024-04-03T16:54:18.5173328Z tensor([[[[ 0., 0., 0., 0.], 2024-04-03T16:54:18.5173742Z [ 0., 6., 0., 8.], 2024-04-03T16:54:18.5174262Z [ 0., 0., 0., 0.], 2024-04-03T16:54:18.5174668Z [ 0., 14., 0., 16.]]]]) 2024-04-03T16:54:18.5175250Z >>> # Now using output_size to resolve an ambiguous size for the inverse 2024-04-03T16:54:18.5175921Z >>> input = torch.torch.tensor([[[[ 1., 2., 3., 4., 5.], 2024-04-03T16:54:18.5176449Z [ 6., 7., 8., 9., 10.], 2024-04-03T16:54:18.5176957Z [11., 12., 13., 14., 15.], 2024-04-03T16:54:18.5177456Z [16., 17., 18., 19., 20.]]]]) 2024-04-03T16:54:18.5177916Z >>> output, indices = pool(input) 2024-04-03T16:54:18.5178441Z >>> # This call will not work without specifying output_size 2024-04-03T16:54:18.5179044Z >>> unpool(output, indices, output_size=input.size()) 2024-04-03T16:54:18.5179533Z tensor([[[[ 0., 0., 0., 0., 0.], 2024-04-03T16:54:18.5179962Z [ 0., 7., 0., 9., 0.], 2024-04-03T16:54:18.5180378Z [ 0., 0., 0., 0., 0.], 2024-04-03T16:54:18.5180803Z [ 0., 17., 0., 19., 0.]]]]) 2024-04-03T16:54:18.5181089Z 2024-04-03T16:54:18.5181094Z 2024-04-03T16:54:18.5181183Z 2024-04-03T16:54:18.5181708Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.5182391Z 2024-04-03T16:54:18.5431214Z msg = Cannot scrape callname=EmbeddingBag in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=228. 2024-04-03T16:54:18.5432597Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.5433594Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings. 2024-04-03T16:54:18.5434210Z 2024-04-03T16:54:18.5434657Z For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`, 2024-04-03T16:54:18.5435396Z and with 2D inputs, this class 2024-04-03T16:54:18.5435662Z 2024-04-03T16:54:18.5436216Z * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``, 2024-04-03T16:54:18.5437285Z * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``, 2024-04-03T16:54:18.5438313Z * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``. 2024-04-03T16:54:18.5438896Z 2024-04-03T16:54:18.5439399Z However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these 2024-04-03T16:54:18.5440151Z operations. 2024-04-03T16:54:18.5440321Z 2024-04-03T16:54:18.5440725Z EmbeddingBag also supports per-sample weights as an argument to the forward 2024-04-03T16:54:18.5441602Z pass. This scales the output of the Embedding before performing a weighted 2024-04-03T16:54:18.5442433Z reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the 2024-04-03T16:54:18.5443255Z only supported ``mode`` is ``"sum"``, which computes a weighted sum according to 2024-04-03T16:54:18.5443876Z :attr:`per_sample_weights`. 2024-04-03T16:54:18.5444127Z 2024-04-03T16:54:18.5444237Z Args: 2024-04-03T16:54:18.5444614Z num_embeddings (int): size of the dictionary of embeddings 2024-04-03T16:54:18.5445235Z embedding_dim (int): the size of each embedding vector 2024-04-03T16:54:18.5446082Z max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm` 2024-04-03T16:54:18.5446896Z is renormalized to have norm :attr:`max_norm`. 2024-04-03T16:54:18.5447846Z norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``. 2024-04-03T16:54:18.5448943Z scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of 2024-04-03T16:54:18.5449874Z the words in the mini-batch. Default ``False``. 2024-04-03T16:54:18.5450530Z Note: this option is not supported when ``mode="max"``. 2024-04-03T16:54:18.5451313Z mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag. 2024-04-03T16:54:18.5452141Z ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights` 2024-04-03T16:54:18.5452903Z into consideration. ``"mean"`` computes the average of the values 2024-04-03T16:54:18.5453612Z in the bag, ``"max"`` computes the max value over each bag. 2024-04-03T16:54:18.5454291Z Default: ``"mean"`` 2024-04-03T16:54:18.5455064Z sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See 2024-04-03T16:54:18.5456028Z Notes for more details regarding sparse gradients. Note: this option is not 2024-04-03T16:54:18.5456718Z supported when ``mode="max"``. 2024-04-03T16:54:18.5457562Z include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element 2024-04-03T16:54:18.5458546Z is equivalent to the size of `indices`. This matches the CSR format. 2024-04-03T16:54:18.5459467Z padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the 2024-04-03T16:54:18.5460457Z gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated 2024-04-03T16:54:18.5461336Z during training, i.e. it remains as a fixed "pad". For a newly constructed 2024-04-03T16:54:18.5462356Z EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all 2024-04-03T16:54:18.5463298Z zeros, but can be updated to another value to be used as the padding vector. 2024-04-03T16:54:18.5464221Z Note that the embedding vector at :attr:`padding_idx` is excluded from the 2024-04-03T16:54:18.5464869Z reduction. 2024-04-03T16:54:18.5465159Z 2024-04-03T16:54:18.5465262Z Attributes: 2024-04-03T16:54:18.5465865Z weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)` 2024-04-03T16:54:18.5466648Z initialized from :math:`\mathcal{N}(0, 1)`. 2024-04-03T16:54:18.5467008Z 2024-04-03T16:54:18.5467123Z Examples:: 2024-04-03T16:54:18.5467356Z 2024-04-03T16:54:18.5467594Z >>> # an EmbeddingBag module containing 10 tensors of size 3 2024-04-03T16:54:18.5468269Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum') 2024-04-03T16:54:18.5468801Z >>> # a batch of 2 samples of 4 indices each 2024-04-03T16:54:18.5469397Z >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long) 2024-04-03T16:54:18.5470018Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2024-04-03T16:54:18.5470618Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-04-03T16:54:18.5471096Z >>> embedding_sum(input, offsets) 2024-04-03T16:54:18.5471579Z tensor([[-0.8861, -5.4350, -0.0523], 2024-04-03T16:54:18.5472092Z [ 1.1306, -2.5798, -1.0044]]) 2024-04-03T16:54:18.5472378Z 2024-04-03T16:54:18.5472510Z >>> # Example with padding_idx 2024-04-03T16:54:18.5473137Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2) 2024-04-03T16:54:18.5473842Z >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long) 2024-04-03T16:54:18.5474445Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2024-04-03T16:54:18.5474944Z >>> embedding_sum(input, offsets) 2024-04-03T16:54:18.5475372Z tensor([[ 0.0000, 0.0000, 0.0000], 2024-04-03T16:54:18.5475833Z [-0.7082, 3.2145, -2.6251]]) 2024-04-03T16:54:18.5476133Z 2024-04-03T16:54:18.5476368Z >>> # An EmbeddingBag can be loaded from an Embedding like so 2024-04-03T16:54:18.5476962Z >>> embedding = nn.Embedding(10, 3, padding_idx=2) 2024-04-03T16:54:18.5477525Z >>> embedding_sum = nn.EmbeddingBag.from_pretrained( 2024-04-03T16:54:18.5478002Z embedding.weight, 2024-04-03T16:54:18.5478423Z padding_idx=embedding.padding_idx, 2024-04-03T16:54:18.5478893Z mode='sum') 2024-04-03T16:54:18.5479190Z 2024-04-03T16:54:18.5479710Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.5480194Z 2024-04-03T16:54:18.5780675Z msg = Cannot scrape callname=DistributedDataParallel.join in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1713. 2024-04-03T16:54:18.5782270Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.5782789Z 2024-04-03T16:54:18.5783139Z Context manager for training with uneven inputs across processes in DDP. 2024-04-03T16:54:18.5783621Z 2024-04-03T16:54:18.5783973Z This context manager will keep track of already-joined DDP processes, 2024-04-03T16:54:18.5784712Z and "shadow" the forward and backward passes by inserting collective 2024-04-03T16:54:18.5785517Z communication operations to match with the ones created by non-joined 2024-04-03T16:54:18.5786267Z DDP processes. This will ensure each collective call has a corresponding 2024-04-03T16:54:18.5787096Z call by already-joined DDP processes, preventing hangs or errors that 2024-04-03T16:54:18.5787814Z would otherwise happen when training with uneven inputs across 2024-04-03T16:54:18.5788517Z processes. Alternatively, if the flag ``throw_on_early_termination`` is 2024-04-03T16:54:18.5789271Z specified to be ``True``, all trainers will throw an error once one rank 2024-04-03T16:54:18.5790148Z runs out of inputs, allowing these errors to be caught and handled 2024-04-03T16:54:18.5790758Z according to application logic. 2024-04-03T16:54:18.5791033Z 2024-04-03T16:54:18.5791328Z Once all DDP processes have joined, the context manager will broadcast 2024-04-03T16:54:18.5792091Z the model corresponding to the last joined process to all processes to 2024-04-03T16:54:18.5792728Z ensure the model is the same across all processes 2024-04-03T16:54:18.5793204Z (which is guaranteed by DDP). 2024-04-03T16:54:18.5793461Z 2024-04-03T16:54:18.5793741Z To use this to enable training with uneven inputs across processes, 2024-04-03T16:54:18.5794498Z simply wrap this context manager around your training loop. No further 2024-04-03T16:54:18.5795225Z modifications to the model or data loading is required. 2024-04-03T16:54:18.5795610Z 2024-04-03T16:54:18.5795735Z .. warning:: 2024-04-03T16:54:18.5796194Z If the model or training loop this context manager is wrapped around 2024-04-03T16:54:18.5796882Z has additional distributed collective operations, such as 2024-04-03T16:54:18.5797586Z ``SyncBatchNorm`` in the model's forward pass, then the flag 2024-04-03T16:54:18.5798256Z ``throw_on_early_termination`` must be enabled. This is because this 2024-04-03T16:54:18.5799017Z context manager is not aware of non-DDP collective communication. 2024-04-03T16:54:18.5799742Z This flag will cause all ranks to throw when any one rank 2024-04-03T16:54:18.5800408Z exhausts inputs, allowing these errors to be caught and recovered 2024-04-03T16:54:18.5800946Z from across all ranks. 2024-04-03T16:54:18.5801185Z 2024-04-03T16:54:18.5801275Z Args: 2024-04-03T16:54:18.5801663Z divide_by_initial_world_size (bool): If ``True``, will divide 2024-04-03T16:54:18.5802345Z gradients by the initial ``world_size`` DDP training was launched 2024-04-03T16:54:18.5803006Z with. If ``False``, will compute the effective world size 2024-04-03T16:54:18.5803657Z (number of ranks that have not depleted their inputs yet) and 2024-04-03T16:54:18.5804270Z divide gradients by that during allreduce. Set 2024-04-03T16:54:18.5804846Z ``divide_by_initial_world_size=True`` to ensure every input 2024-04-03T16:54:18.5805522Z sample including the uneven inputs have equal weight in terms of 2024-04-03T16:54:18.5806193Z how much they contribute to the global gradient. This is 2024-04-03T16:54:18.5806800Z achieved by always dividing the gradient by the initial 2024-04-03T16:54:18.5807443Z ``world_size`` even when we encounter uneven inputs. If you set 2024-04-03T16:54:18.5808096Z this to ``False``, we divide the gradient by the remaining 2024-04-03T16:54:18.5808752Z number of nodes. This ensures parity with training on a smaller 2024-04-03T16:54:18.5809440Z ``world_size`` although it also means the uneven inputs would 2024-04-03T16:54:18.5810124Z contribute more towards the global gradient. Typically, you 2024-04-03T16:54:18.5811042Z would want to set this to ``True`` for cases where the last few 2024-04-03T16:54:18.5811980Z inputs of your training job are uneven. In extreme cases, where 2024-04-03T16:54:18.5812805Z there is a large discrepancy in the number of inputs, setting 2024-04-03T16:54:18.5813842Z this to ``False`` might provide better results. 2024-04-03T16:54:18.5814572Z enable (bool): Whether to enable uneven input detection or not. Pass 2024-04-03T16:54:18.5815263Z in ``enable=False`` to disable in cases where you know that 2024-04-03T16:54:18.5815916Z inputs are even across participating processes. Default is 2024-04-03T16:54:18.5816414Z ``True``. 2024-04-03T16:54:18.5816833Z throw_on_early_termination (bool): Whether to throw an error 2024-04-03T16:54:18.5817489Z or continue training when at least one rank has exhausted 2024-04-03T16:54:18.5818139Z inputs. If ``True``, will throw upon the first rank reaching end 2024-04-03T16:54:18.5818890Z of data. If ``False``, will continue training with a smaller 2024-04-03T16:54:18.5819601Z effective world size until all ranks are joined. Note that if 2024-04-03T16:54:18.5820168Z this flag is specified, then the flag 2024-04-03T16:54:18.5820709Z ``divide_by_initial_world_size`` would be ignored. Default 2024-04-03T16:54:18.5821204Z is ``False``. 2024-04-03T16:54:18.5821396Z 2024-04-03T16:54:18.5821406Z 2024-04-03T16:54:18.5821530Z Example:: 2024-04-03T16:54:18.5821678Z 2024-04-03T16:54:18.5821819Z >>> # xdoctest: +SKIP("Distributed") 2024-04-03T16:54:18.5822367Z >>> import torch 2024-04-03T16:54:18.5822715Z >>> import torch.distributed as dist 2024-04-03T16:54:18.5823100Z >>> import os 2024-04-03T16:54:18.5823516Z >>> import torch.multiprocessing as mp 2024-04-03T16:54:18.5823955Z >>> import torch.nn as nn 2024-04-03T16:54:18.5824309Z >>> # On each spawned worker 2024-04-03T16:54:18.5824682Z >>> def worker(rank): 2024-04-03T16:54:18.5825134Z >>> dist.init_process_group("nccl", rank=rank, world_size=2) 2024-04-03T16:54:18.5825649Z >>> torch.cuda.set_device(rank) 2024-04-03T16:54:18.5826123Z >>> model = nn.Linear(1, 1, bias=False).to(rank) 2024-04-03T16:54:18.5826713Z >>> model = torch.nn.parallel.DistributedDataParallel( 2024-04-03T16:54:18.5827290Z >>> model, device_ids=[rank], output_device=rank 2024-04-03T16:54:18.5827786Z >>> ) 2024-04-03T16:54:18.5828131Z >>> # Rank 1 gets one more input than rank 0. 2024-04-03T16:54:18.5828710Z >>> inputs = [torch.tensor([1]).float() for _ in range(10 + rank)] 2024-04-03T16:54:18.5829254Z >>> with model.join(): 2024-04-03T16:54:18.5829618Z >>> for _ in range(5): 2024-04-03T16:54:18.5829996Z >>> for inp in inputs: 2024-04-03T16:54:18.5830422Z >>> loss = model(inp).sum() 2024-04-03T16:54:18.5830861Z >>> loss.backward() 2024-04-03T16:54:18.5831393Z >>> # Without the join() API, the below synchronization will hang 2024-04-03T16:54:18.5832115Z >>> # blocking for rank 1's allreduce to complete. 2024-04-03T16:54:18.5832643Z >>> torch.cuda.synchronize(device=rank) 2024-04-03T16:54:18.5832961Z 2024-04-03T16:54:18.5833348Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.5833846Z 2024-04-03T16:54:18.5834966Z msg = Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2011. 2024-04-03T16:54:18.5836444Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.5836960Z 2024-04-03T16:54:18.5837376Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction. 2024-04-03T16:54:18.5837954Z 2024-04-03T16:54:18.5838239Z Registers an optimizer with DDP such that the optimization for a 2024-04-03T16:54:18.5838980Z parameter will run immediately when that parameter's gradient is 2024-04-03T16:54:18.5839677Z finished with reduction, instead of waiting for all parameters' 2024-04-03T16:54:18.5840388Z gradients to finish reduction. This can result in a training speedup 2024-04-03T16:54:18.5841117Z depending on your workload since the optimizer can run while gradient 2024-04-03T16:54:18.5841882Z reduction for other parameters are still ongoing. In addition, this has 2024-04-03T16:54:18.5842663Z the potential to reduce peak memory consumption during training, as it 2024-04-03T16:54:18.5843456Z only needs to load the per-parameter optimizer states of a single 2024-04-03T16:54:18.5844222Z parameter at a time, instead of loading all per-parameter optimizer 2024-04-03T16:54:18.5844776Z states at once. 2024-04-03T16:54:18.5844950Z 2024-04-03T16:54:18.5845053Z Args: 2024-04-03T16:54:18.5845451Z optim (Type): a ``torch.optim.Optimizer`` class to be registered 2024-04-03T16:54:18.5845998Z as a fused optimizer. 2024-04-03T16:54:18.5846518Z *args (Sequence[Any]): Arguments to forward to `optim`. 2024-04-03T16:54:18.5847205Z optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters 2024-04-03T16:54:18.5847950Z to optimize, similar to `params` argument of traditional `torch.optim` 2024-04-03T16:54:18.5848686Z Optimizers. If this is omitted, all DDP model parameters will be 2024-04-03T16:54:18.5849209Z optimized. 2024-04-03T16:54:18.5849659Z **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`. 2024-04-03T16:54:18.5850168Z 2024-04-03T16:54:18.5850338Z .. warning :: 2024-04-03T16:54:18.5850773Z _register_fused_optim should only be called once on a DDP instance, 2024-04-03T16:54:18.5851490Z and registering multiple fused optimizers for the same DDP model 2024-04-03T16:54:18.5852142Z is not currently supported. Please ping 2024-04-03T16:54:18.5852758Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-04-03T16:54:18.5853340Z for your use case. 2024-04-03T16:54:18.5853555Z 2024-04-03T16:54:18.5853661Z .. warning :: 2024-04-03T16:54:18.5854159Z _register_fused_optim and register_comm_hook currently do not 2024-04-03T16:54:18.5854834Z compose together, meaning that custom DDP communication hooks are 2024-04-03T16:54:18.5855499Z not supported with overlapped optimizers. Please ping 2024-04-03T16:54:18.5856248Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-04-03T16:54:18.5856808Z for your use case. 2024-04-03T16:54:18.5857022Z 2024-04-03T16:54:18.5857123Z .. warning :: 2024-04-03T16:54:18.5857581Z Gradient accumulation and DDP `no_sync` are currently not supported 2024-04-03T16:54:18.5858180Z with overlapped optimizer. Please ping 2024-04-03T16:54:18.5858791Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-04-03T16:54:18.5859362Z for your use case. 2024-04-03T16:54:18.5859564Z 2024-04-03T16:54:18.5859662Z Example:: 2024-04-03T16:54:18.5859822Z 2024-04-03T16:54:18.5859992Z >>> # xdoctest: +SKIP("No rendezvous handler") 2024-04-03T16:54:18.5860799Z >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...') 2024-04-03T16:54:18.5861610Z >>> net = torch.nn.parallel.DistributedDataParallel(model, pg) 2024-04-03T16:54:18.5862309Z >>> lr = 1e-2 2024-04-03T16:54:18.5862602Z >>> betas = (0.9, 0.99) 2024-04-03T16:54:18.5862936Z >>> eps = 1e-6 2024-04-03T16:54:18.5863420Z >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps) 2024-04-03T16:54:18.5864034Z >>> # Example with subset of parameters 2024-04-03T16:54:18.5864516Z >>> params_to_opt = [list(net.parameters())[0]] 2024-04-03T16:54:18.5864966Z >>> net._register_fused_optim( 2024-04-03T16:54:18.5865546Z ... torch.optim.Adam, lr, optim_params=params_to_opt, betas=betas, eps=eps 2024-04-03T16:54:18.5866119Z ... ) 2024-04-03T16:54:18.5866259Z 2024-04-03T16:54:18.5866643Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.5867139Z 2024-04-03T16:54:18.6072508Z msg = Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=5. 2024-04-03T16:54:18.6075001Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.6075829Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``. 2024-04-03T16:54:18.6076270Z 2024-04-03T16:54:18.6076633Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2024-04-03T16:54:18.6077586Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2024-04-03T16:54:18.6078660Z This function is used to facilitate the computation to adopt NHWC kernels, which 2024-04-03T16:54:18.6079846Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2024-04-03T16:54:18.6080539Z 2024-04-03T16:54:18.6080728Z .. note:: 2024-04-03T16:54:18.6081754Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2024-04-03T16:54:18.6082592Z than the utility function ``convert_conv2d_weight_memory_format``. Any 2024-04-03T16:54:18.6083355Z layer with 4d weight will be affected by ``model.to``, which does not 2024-04-03T16:54:18.6084099Z necessarily benefit from conversion to specified ``memory_format``. 2024-04-03T16:54:18.6084867Z One place we are confident in is that NHWC(channels_last) conversion for 2024-04-03T16:54:18.6085642Z convolution in cuDNN, As it is beneficial to run convolution in NHWC, 2024-04-03T16:54:18.6086387Z even in cases where we have to apply permutation to input tensors. 2024-04-03T16:54:18.6086890Z 2024-04-03T16:54:18.6087197Z Hence our strategy here is to convert only the weight of convolution to 2024-04-03T16:54:18.6087809Z channels_last. This ensures that; 2024-04-03T16:54:18.6088395Z 1. Fast convolution kernels will be used, the benefit of which could 2024-04-03T16:54:18.6089138Z outweigh overhead of permutation (if input is not in the same format) 2024-04-03T16:54:18.6089917Z 2. No unnecessary permutations are applied on layers that do not benefit 2024-04-03T16:54:18.6090530Z from memory_format conversion. 2024-04-03T16:54:18.6090809Z 2024-04-03T16:54:18.6091163Z The optimal case is that, layers between convolution layers are channels 2024-04-03T16:54:18.6091950Z last compatible. Input tensor would be permuted to channels last when it 2024-04-03T16:54:18.6092727Z encounters the first convolution layer and stay in that memory format. 2024-04-03T16:54:18.6093500Z Hence following convolutions will not need to permute its input tensor. 2024-04-03T16:54:18.6093970Z 2024-04-03T16:54:18.6094360Z In case where a channels last incompatible layer is between convolution 2024-04-03T16:54:18.6095131Z layers, we need to permute the input tensor back to contiguous format 2024-04-03T16:54:18.6095906Z for that layer. The input tensor will go through the remaining layers in 2024-04-03T16:54:18.6096681Z contiguous format and be permuted to channels last when it encounters 2024-04-03T16:54:18.6097503Z another convolution layer. There's no point in propagating that 2024-04-03T16:54:18.6098253Z permutation to an earlier layer, as most layers are quite agnostic to 2024-04-03T16:54:18.6098821Z ``memory_format``. 2024-04-03T16:54:18.6099054Z 2024-04-03T16:54:18.6099420Z This claim might change when PyTorch supports fusion of permutation, as 2024-04-03T16:54:18.6100206Z there might have been a better spot to fuse the permutation other than 2024-04-03T16:54:18.6100869Z immediately before a convolution. 2024-04-03T16:54:18.6101162Z 2024-04-03T16:54:18.6101259Z Args: 2024-04-03T16:54:18.6101710Z module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container 2024-04-03T16:54:18.6102487Z ``nn.Module`` 2024-04-03T16:54:18.6102953Z memory_format: user specified ``memory_format``, 2024-04-03T16:54:18.6103560Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2024-04-03T16:54:18.6103960Z 2024-04-03T16:54:18.6104076Z Returns: 2024-04-03T16:54:18.6104413Z The original module with updated ``nn.Conv2d`` 2024-04-03T16:54:18.6104775Z 2024-04-03T16:54:18.6104876Z Example: 2024-04-03T16:54:18.6105227Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-04-03T16:54:18.6105763Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2024-04-03T16:54:18.6106448Z >>> input = torch.randint(1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda") 2024-04-03T16:54:18.6107061Z >>> model = nn.Sequential( 2024-04-03T16:54:18.6107471Z >>> nn.Conv2d(8, 4, 3)).cuda().half() 2024-04-03T16:54:18.6107893Z >>> # This is identical to: 2024-04-03T16:54:18.6108537Z >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2024-04-03T16:54:18.6109411Z >>> model = nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2024-04-03T16:54:18.6110027Z >>> out = model(input) 2024-04-03T16:54:18.6110356Z 2024-04-03T16:54:18.6110891Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.6111378Z 2024-04-03T16:54:18.6112383Z msg = Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=76. 2024-04-03T16:54:18.6113771Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.6114594Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format`` 2024-04-03T16:54:18.6115390Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2024-04-03T16:54:18.6116277Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2024-04-03T16:54:18.6117172Z This function is used to facilitate the computation to adopt NHWC kernels, which 2024-04-03T16:54:18.6118119Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2024-04-03T16:54:18.6118695Z 2024-04-03T16:54:18.6118817Z .. note:: 2024-04-03T16:54:18.6119316Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2024-04-03T16:54:18.6120092Z than the utility function ``convert_conv3d_weight_memory_format``. Any 2024-04-03T16:54:18.6120848Z layer with 4d weight will be affected by ``model.to``, which does not 2024-04-03T16:54:18.6121578Z necessarily benefit from conversion to specified ``memory_format``. 2024-04-03T16:54:18.6122342Z One place we are confident in is that NHWC(channels_last) conversion for 2024-04-03T16:54:18.6123116Z convolution in cuDNN, As it is beneficial to run convolution in NHWC, 2024-04-03T16:54:18.6123848Z even in cases where we have to apply permutation to input tensors. 2024-04-03T16:54:18.6124306Z 2024-04-03T16:54:18.6124611Z Hence our strategy here is to convert only the weight of convolution to 2024-04-03T16:54:18.6125220Z channels_last. This ensures that; 2024-04-03T16:54:18.6125790Z 1. Fast convolution kernels will be used, the benefit of which could 2024-04-03T16:54:18.6126591Z outweigh overhead of permutation (if input is not in the same format) 2024-04-03T16:54:18.6127367Z 2. No unnecessary permutations are applied on layers that do not benefit 2024-04-03T16:54:18.6127976Z from memory_format conversion. 2024-04-03T16:54:18.6128253Z 2024-04-03T16:54:18.6128565Z The optimal case is that, layers between convolution layers are channels 2024-04-03T16:54:18.6129359Z last compatible. Input tensor would be permuted to channels last when it 2024-04-03T16:54:18.6130134Z encounters the first convolution layer and stay in that memory format. 2024-04-03T16:54:18.6130905Z Hence following convolutions will not need to permute its input tensor. 2024-04-03T16:54:18.6131385Z 2024-04-03T16:54:18.6131689Z In case where a channels last incompatible layer is between convolution 2024-04-03T16:54:18.6132455Z layers, we need to permute the input tensor back to contiguous format 2024-04-03T16:54:18.6133223Z for that layer. The input tensor will go through the remaining layers in 2024-04-03T16:54:18.6133987Z contiguous format and be permuted to channels last when it encounters 2024-04-03T16:54:18.6134888Z another convolution layer. There's no point in propagating that 2024-04-03T16:54:18.6135628Z permutation to an earlier layer, as most layers are quite agnostic to 2024-04-03T16:54:18.6136191Z ``memory_format``. 2024-04-03T16:54:18.6136420Z 2024-04-03T16:54:18.6136728Z This claim might change when PyTorch supports fusion of permutation, as 2024-04-03T16:54:18.6137567Z there might have been a better spot to fuse the permutation other than 2024-04-03T16:54:18.6138300Z immediately before a convolution. 2024-04-03T16:54:18.6138607Z 2024-04-03T16:54:18.6138701Z Args: 2024-04-03T16:54:18.6139149Z module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container 2024-04-03T16:54:18.6139739Z ``nn.Module`` 2024-04-03T16:54:18.6140218Z memory_format: user specified ``memory_format``, 2024-04-03T16:54:18.6140815Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2024-04-03T16:54:18.6141217Z 2024-04-03T16:54:18.6141326Z Returns: 2024-04-03T16:54:18.6141660Z The original module with updated ``nn.Conv3d`` 2024-04-03T16:54:18.6142170Z 2024-04-03T16:54:18.6142268Z Example: 2024-04-03T16:54:18.6142620Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-04-03T16:54:18.6143154Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2024-04-03T16:54:18.6143863Z >>> input = torch.randint(1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda") 2024-04-03T16:54:18.6144490Z >>> model = nn.Sequential( 2024-04-03T16:54:18.6144890Z >>> nn.Conv3d(8, 4, 3)).cuda().half() 2024-04-03T16:54:18.6145326Z >>> # This is identical to: 2024-04-03T16:54:18.6145908Z >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last) 2024-04-03T16:54:18.6146779Z >>> model = nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last) 2024-04-03T16:54:18.6147413Z >>> out = model(input) 2024-04-03T16:54:18.6147743Z 2024-04-03T16:54:18.6148266Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.6148760Z 2024-04-03T16:54:18.6297405Z msg = Cannot scrape callname=random_structured in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=939. 2024-04-03T16:54:18.6299601Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.6300409Z Prune tensor by removing random channels along the specified dimension. 2024-04-03T16:54:18.6300980Z 2024-04-03T16:54:18.6301420Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2024-04-03T16:54:18.6302504Z by removing the specified ``amount`` of (currently unpruned) channels 2024-04-03T16:54:18.6303608Z along the specified ``dim`` selected at random. 2024-04-03T16:54:18.6304588Z Modifies module in place (and also return the modified module) 2024-04-03T16:54:18.6305090Z by: 2024-04-03T16:54:18.6305242Z 2024-04-03T16:54:18.6305607Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-04-03T16:54:18.6306345Z binary mask applied to the parameter ``name`` by the pruning method. 2024-04-03T16:54:18.6307079Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-04-03T16:54:18.6307799Z original (unpruned) parameter is stored in a new parameter named 2024-04-03T16:54:18.6308537Z ``name+'_orig'``. 2024-04-03T16:54:18.6308865Z 2024-04-03T16:54:18.6308988Z Args: 2024-04-03T16:54:18.6309599Z module (nn.Module): module containing the tensor to prune 2024-04-03T16:54:18.6310469Z name (str): parameter name within ``module`` on which pruning 2024-04-03T16:54:18.6311048Z will act. 2024-04-03T16:54:18.6311479Z amount (int or float): quantity of parameters to prune. 2024-04-03T16:54:18.6312194Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-04-03T16:54:18.6312953Z fraction of parameters to prune. If ``int``, it represents the 2024-04-03T16:54:18.6313617Z absolute number of parameters to prune. 2024-04-03T16:54:18.6314397Z dim (int): index of the dim along which we define channels to prune. 2024-04-03T16:54:18.6315110Z 2024-04-03T16:54:18.6315292Z Returns: 2024-04-03T16:54:18.6316143Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-04-03T16:54:18.6316700Z 2024-04-03T16:54:18.6316933Z Examples: 2024-04-03T16:54:18.6317351Z >>> # xdoctest: +SKIP 2024-04-03T16:54:18.6317722Z >>> m = prune.random_structured( 2024-04-03T16:54:18.6318352Z ... nn.Linear(5, 3), 'weight', amount=3, dim=1 2024-04-03T16:54:18.6318863Z ... ) 2024-04-03T16:54:18.6319254Z >>> columns_pruned = int(sum(torch.sum(m.weight, dim=0) == 0)) 2024-04-03T16:54:18.6319863Z >>> print(columns_pruned) 2024-04-03T16:54:18.6320256Z 3 2024-04-03T16:54:18.6320500Z 2024-04-03T16:54:18.6321081Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.6321570Z 2024-04-03T16:54:18.6322493Z msg = Cannot scrape callname=ln_structured in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=980. 2024-04-03T16:54:18.6323892Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.6325033Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension. 2024-04-03T16:54:18.6325689Z 2024-04-03T16:54:18.6326051Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2024-04-03T16:54:18.6326865Z by removing the specified ``amount`` of (currently unpruned) channels 2024-04-03T16:54:18.6327676Z along the specified ``dim`` with the lowest L\ ``n``-norm. 2024-04-03T16:54:18.6328436Z Modifies module in place (and also return the modified module) 2024-04-03T16:54:18.6329011Z by: 2024-04-03T16:54:18.6329160Z 2024-04-03T16:54:18.6329514Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-04-03T16:54:18.6330334Z binary mask applied to the parameter ``name`` by the pruning method. 2024-04-03T16:54:18.6331131Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-04-03T16:54:18.6331919Z original (unpruned) parameter is stored in a new parameter named 2024-04-03T16:54:18.6332562Z ``name+'_orig'``. 2024-04-03T16:54:18.6332814Z 2024-04-03T16:54:18.6332946Z Args: 2024-04-03T16:54:18.6333321Z module (nn.Module): module containing the tensor to prune 2024-04-03T16:54:18.6334138Z name (str): parameter name within ``module`` on which pruning 2024-04-03T16:54:18.6334729Z will act. 2024-04-03T16:54:18.6335153Z amount (int or float): quantity of parameters to prune. 2024-04-03T16:54:18.6335784Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-04-03T16:54:18.6336538Z fraction of parameters to prune. If ``int``, it represents the 2024-04-03T16:54:18.6337124Z absolute number of parameters to prune. 2024-04-03T16:54:18.6337797Z n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid 2024-04-03T16:54:18.6338499Z entries for argument ``p`` in :func:`torch.norm`. 2024-04-03T16:54:18.6339138Z dim (int): index of the dim along which we define channels to prune. 2024-04-03T16:54:18.6339894Z importance_scores (torch.Tensor): tensor of importance scores (of same 2024-04-03T16:54:18.6340648Z shape as module parameter) used to compute mask for pruning. 2024-04-03T16:54:18.6341367Z The values in this tensor indicate the importance of the corresponding 2024-04-03T16:54:18.6342204Z elements in the parameter being pruned. 2024-04-03T16:54:18.6342856Z If unspecified or None, the module parameter will be used in its place. 2024-04-03T16:54:18.6343334Z 2024-04-03T16:54:18.6343443Z Returns: 2024-04-03T16:54:18.6343896Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-04-03T16:54:18.6344373Z 2024-04-03T16:54:18.6344475Z Examples: 2024-04-03T16:54:18.6344795Z >>> from torch.nn.utils import prune 2024-04-03T16:54:18.6345219Z >>> m = prune.ln_structured( 2024-04-03T16:54:18.6345830Z ... nn.Conv2d(5, 3, 2), 'weight', amount=0.3, dim=1, n=float('-inf') 2024-04-03T16:54:18.6346351Z ... ) 2024-04-03T16:54:18.6346653Z 2024-04-03T16:54:18.6347214Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.6347690Z 2024-04-03T16:54:18.6348540Z msg = Cannot scrape callname=global_unstructured in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1027. 2024-04-03T16:54:18.6349869Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.6350377Z 2024-04-03T16:54:18.6350932Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``. 2024-04-03T16:54:18.6351654Z 2024-04-03T16:54:18.6351777Z Modifies modules in place by: 2024-04-03T16:54:18.6352071Z 2024-04-03T16:54:18.6352425Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-04-03T16:54:18.6353148Z binary mask applied to the parameter ``name`` by the pruning method. 2024-04-03T16:54:18.6353880Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-04-03T16:54:18.6354592Z original (unpruned) parameter is stored in a new parameter named 2024-04-03T16:54:18.6355144Z ``name+'_orig'``. 2024-04-03T16:54:18.6355345Z 2024-04-03T16:54:18.6355433Z Args: 2024-04-03T16:54:18.6355824Z parameters (Iterable of (module, name) tuples): parameters of 2024-04-03T16:54:18.6356529Z the model to prune in a global fashion, i.e. by aggregating all 2024-04-03T16:54:18.6357235Z weights prior to deciding which ones to prune. module must be of 2024-04-03T16:54:18.6357868Z type :class:`nn.Module`, and name must be a string. 2024-04-03T16:54:18.6358512Z pruning_method (function): a valid pruning function from this module, 2024-04-03T16:54:18.6359197Z or a custom one implemented by the user that satisfies the 2024-04-03T16:54:18.6360028Z implementation guidelines and has ``PRUNING_TYPE='unstructured'``. 2024-04-03T16:54:18.6360784Z importance_scores (dict): a dictionary mapping (module, name) tuples to 2024-04-03T16:54:18.6361586Z the corresponding parameter's importance scores tensor. The tensor 2024-04-03T16:54:18.6362447Z should be the same shape as the parameter, and is used for computing 2024-04-03T16:54:18.6363023Z mask for pruning. 2024-04-03T16:54:18.6363512Z If unspecified or None, the parameter will be used in place of its 2024-04-03T16:54:18.6364076Z importance scores. 2024-04-03T16:54:18.6364453Z kwargs: other keyword arguments such as: 2024-04-03T16:54:18.6365027Z amount (int or float): quantity of parameters to prune across the 2024-04-03T16:54:18.6365579Z specified parameters. 2024-04-03T16:54:18.6366060Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-04-03T16:54:18.6366712Z fraction of parameters to prune. If ``int``, it represents the 2024-04-03T16:54:18.6367302Z absolute number of parameters to prune. 2024-04-03T16:54:18.6367634Z 2024-04-03T16:54:18.6367726Z Raises: 2024-04-03T16:54:18.6368114Z TypeError: if ``PRUNING_TYPE != 'unstructured'`` 2024-04-03T16:54:18.6368463Z 2024-04-03T16:54:18.6368551Z Note: 2024-04-03T16:54:18.6369028Z Since global structured pruning doesn't make much sense unless the 2024-04-03T16:54:18.6369744Z norm is normalized by the size of the parameter, we now limit the 2024-04-03T16:54:18.6370360Z scope of global pruning to unstructured methods. 2024-04-03T16:54:18.6370724Z 2024-04-03T16:54:18.6370823Z Examples: 2024-04-03T16:54:18.6371126Z >>> from torch.nn.utils import prune 2024-04-03T16:54:18.6371563Z >>> from collections import OrderedDict 2024-04-03T16:54:18.6372021Z >>> net = nn.Sequential(OrderedDict([ 2024-04-03T16:54:18.6372503Z ... ('first', nn.Linear(10, 4)), 2024-04-03T16:54:18.6372949Z ... ('second', nn.Linear(4, 1)), 2024-04-03T16:54:18.6373330Z ... ])) 2024-04-03T16:54:18.6373611Z >>> parameters_to_prune = ( 2024-04-03T16:54:18.6374197Z ... (net.first, 'weight'), 2024-04-03T16:54:18.6374678Z ... (net.second, 'weight'), 2024-04-03T16:54:18.6375073Z ... ) 2024-04-03T16:54:18.6375360Z >>> prune.global_unstructured( 2024-04-03T16:54:18.6375801Z ... parameters_to_prune, 2024-04-03T16:54:18.6376231Z ... pruning_method=prune.L1Unstructured, 2024-04-03T16:54:18.6376649Z ... amount=10, 2024-04-03T16:54:18.6376943Z ... ) 2024-04-03T16:54:18.6377395Z >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0)) 2024-04-03T16:54:18.6377945Z tensor(10) 2024-04-03T16:54:18.6378119Z 2024-04-03T16:54:18.6378124Z 2024-04-03T16:54:18.6378509Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.6379034Z 2024-04-03T16:54:18.6379853Z msg = Cannot scrape callname=custom_from_mask in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1147. 2024-04-03T16:54:18.6381095Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.6382321Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``. 2024-04-03T16:54:18.6383020Z 2024-04-03T16:54:18.6383299Z Modifies module in place (and also return the modified module) by: 2024-04-03T16:54:18.6383734Z 2024-04-03T16:54:18.6384101Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-04-03T16:54:18.6384931Z binary mask applied to the parameter ``name`` by the pruning method. 2024-04-03T16:54:18.6385677Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-04-03T16:54:18.6386393Z original (unpruned) parameter is stored in a new parameter named 2024-04-03T16:54:18.6386971Z ``name+'_orig'``. 2024-04-03T16:54:18.6387176Z 2024-04-03T16:54:18.6387268Z Args: 2024-04-03T16:54:18.6387654Z module (nn.Module): module containing the tensor to prune 2024-04-03T16:54:18.6388299Z name (str): parameter name within ``module`` on which pruning 2024-04-03T16:54:18.6388898Z will act. 2024-04-03T16:54:18.6389375Z mask (Tensor): binary mask to be applied to the parameter. 2024-04-03T16:54:18.6389768Z 2024-04-03T16:54:18.6389880Z Returns: 2024-04-03T16:54:18.6390329Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-04-03T16:54:18.6390801Z 2024-04-03T16:54:18.6390898Z Examples: 2024-04-03T16:54:18.6391213Z >>> from torch.nn.utils import prune 2024-04-03T16:54:18.6391644Z >>> m = prune.custom_from_mask( 2024-04-03T16:54:18.6392238Z ... nn.Linear(5, 3), name='bias', mask=torch.tensor([0, 1, 0]) 2024-04-03T16:54:18.6392733Z ... ) 2024-04-03T16:54:18.6392995Z >>> print(m.bias_mask) 2024-04-03T16:54:18.6393349Z tensor([0., 1., 0.]) 2024-04-03T16:54:18.6393572Z 2024-04-03T16:54:18.6393671Z 2024-04-03T16:54:18.6394177Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.6394666Z 2024-04-03T16:54:18.7270898Z msg = Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py line=67. 2024-04-03T16:54:18.7272323Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.7273220Z Implements averaged model for Stochastic Weight Averaging (SWA) and 2024-04-03T16:54:18.7273947Z Exponential Moving Average (EMA). 2024-04-03T16:54:18.7274229Z 2024-04-03T16:54:18.7274606Z Stochastic Weight Averaging was proposed in `Averaging Weights Leads to 2024-04-03T16:54:18.7275443Z Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii 2024-04-03T16:54:18.7276249Z Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson 2024-04-03T16:54:18.7276904Z (UAI 2018). 2024-04-03T16:54:18.7277148Z 2024-04-03T16:54:18.7277424Z Exponential Moving Average is a variation of `Polyak averaging`_, 2024-04-03T16:54:18.7278554Z but using exponential weights instead of equal weights across iterations. 2024-04-03T16:54:18.7279244Z 2024-04-03T16:54:18.7279752Z AveragedModel class creates a copy of the provided module :attr:`model` 2024-04-03T16:54:18.7280628Z on the device :attr:`device` and allows to compute running averages of the 2024-04-03T16:54:18.7281307Z parameters of the :attr:`model`. 2024-04-03T16:54:18.7281582Z 2024-04-03T16:54:18.7281736Z Args: 2024-04-03T16:54:18.7282105Z model (torch.nn.Module): model to use with SWA/EMA 2024-04-03T16:54:18.7282848Z device (torch.device, optional): if provided, the averaged model will be 2024-04-03T16:54:18.7283528Z stored on the :attr:`device` 2024-04-03T16:54:18.7284135Z avg_fn (function, optional): the averaging function used to update 2024-04-03T16:54:18.7284984Z parameters; the function must take in the current value of the 2024-04-03T16:54:18.7285771Z :class:`AveragedModel` parameter, the current value of :attr:`model` 2024-04-03T16:54:18.7286548Z parameter, and the number of models already averaged; if None, 2024-04-03T16:54:18.7287303Z an equally weighted average is used (default: None) 2024-04-03T16:54:18.7288040Z multi_avg_fn (function, optional): the averaging function used to update 2024-04-03T16:54:18.7288934Z parameters inplace; the function must take in the current values of the 2024-04-03T16:54:18.7289888Z :class:`AveragedModel` parameters as a list, the current values of :attr:`model` 2024-04-03T16:54:18.7290807Z parameters as a list, and the number of models already averaged; if None, 2024-04-03T16:54:18.7291574Z an equally weighted average is used (default: None) 2024-04-03T16:54:18.7292284Z use_buffers (bool): if ``True``, it will compute running averages for 2024-04-03T16:54:18.7293105Z both the parameters and the buffers of the model. (default: ``False``) 2024-04-03T16:54:18.7293646Z 2024-04-03T16:54:18.7293756Z Example: 2024-04-03T16:54:18.7294149Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:18.7294724Z >>> loader, optimizer, model, loss_fn = ... 2024-04-03T16:54:18.7295349Z >>> swa_model = torch.optim.swa_utils.AveragedModel(model) 2024-04-03T16:54:18.7296107Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, 2024-04-03T16:54:18.7296774Z >>> T_max=300) 2024-04-03T16:54:18.7297201Z >>> swa_start = 160 2024-04-03T16:54:18.7297682Z >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05) 2024-04-03T16:54:18.7298164Z >>> for i in range(300): 2024-04-03T16:54:18.7298594Z >>> for input, target in loader: 2024-04-03T16:54:18.7299099Z >>> optimizer.zero_grad() 2024-04-03T16:54:18.7299615Z >>> loss_fn(model(input), target).backward() 2024-04-03T16:54:18.7300156Z >>> optimizer.step() 2024-04-03T16:54:18.7300615Z >>> if i > swa_start: 2024-04-03T16:54:18.7301031Z >>> swa_model.update_parameters(model) 2024-04-03T16:54:18.7301569Z >>> swa_scheduler.step() 2024-04-03T16:54:18.7301957Z >>> else: 2024-04-03T16:54:18.7302482Z >>> scheduler.step() 2024-04-03T16:54:18.7302871Z >>> 2024-04-03T16:54:18.7303283Z >>> # Update bn statistics for the swa_model at the end 2024-04-03T16:54:18.7303926Z >>> torch.optim.swa_utils.update_bn(loader, swa_model) 2024-04-03T16:54:18.7304313Z 2024-04-03T16:54:18.7304798Z You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters. 2024-04-03T16:54:18.7305715Z If no averaging function is provided, the default is to compute 2024-04-03T16:54:18.7306469Z equally-weighted average of the weights (SWA). 2024-04-03T16:54:18.7306828Z 2024-04-03T16:54:18.7306927Z Example: 2024-04-03T16:54:18.7307337Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:18.7308034Z >>> # Compute exponential moving averages of the weights and buffers 2024-04-03T16:54:18.7308808Z >>> ema_model = torch.optim.swa_utils.AveragedModel(model, 2024-04-03T16:54:18.7309501Z >>> torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True) 2024-04-03T16:54:18.7309957Z 2024-04-03T16:54:18.7310093Z .. note:: 2024-04-03T16:54:18.7310585Z When using SWA/EMA with models containing Batch Normalization you may 2024-04-03T16:54:18.7311364Z need to update the activation statistics for Batch Normalization. 2024-04-03T16:54:18.7312145Z This can be done either by using the :meth:`torch.optim.swa_utils.update_bn` 2024-04-03T16:54:18.7312972Z or by setting :attr:`use_buffers` to `True`. The first approach updates the 2024-04-03T16:54:18.7313915Z statistics in a post-training step by passing data through the model. The 2024-04-03T16:54:18.7314805Z second does it during the parameter update phase by averaging all buffers. 2024-04-03T16:54:18.7315631Z Empirical evidence has shown that updating the statistics in normalization 2024-04-03T16:54:18.7316417Z layers increases accuracy, but you may wish to empirically test which 2024-04-03T16:54:18.7317084Z approach yields the best results in your problem. 2024-04-03T16:54:18.7317446Z 2024-04-03T16:54:18.7317558Z .. note:: 2024-04-03T16:54:18.7318119Z :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model. 2024-04-03T16:54:18.7318653Z 2024-04-03T16:54:18.7318750Z .. note:: 2024-04-03T16:54:18.7319178Z When :meth:`update_parameters` is called for the first time (i.e. 2024-04-03T16:54:18.7319845Z :attr:`n_averaged` is `0`) the parameters of `model` are copied 2024-04-03T16:54:18.7320542Z to the parameters of :class:`AveragedModel`. For every subsequent 2024-04-03T16:54:18.7321236Z call of :meth:`update_parameters` the function `avg_fn` is used 2024-04-03T16:54:18.7321849Z to update the parameters. 2024-04-03T16:54:18.7322118Z 2024-04-03T16:54:18.7322409Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2024-04-03T16:54:18.7323016Z https://arxiv.org/abs/1803.05407 2024-04-03T16:54:18.7323690Z .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should 2024-04-03T16:54:18.7324257Z Average: 2024-04-03T16:54:18.7324635Z https://arxiv.org/abs/1806.05594 2024-04-03T16:54:18.7325258Z .. _SWALP: Stochastic Weight Averaging in Low-Precision Training: 2024-04-03T16:54:18.7325809Z https://arxiv.org/abs/1904.11943 2024-04-03T16:54:18.7326452Z .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That 2024-04-03T16:54:18.7327020Z Generalizes Well: 2024-04-03T16:54:18.7327362Z https://arxiv.org/abs/2001.02312 2024-04-03T16:54:18.7327768Z .. _Polyak averaging: 2024-04-03T16:54:18.7328267Z https://paperswithcode.com/method/polyak-averaging 2024-04-03T16:54:18.7328721Z 2024-04-03T16:54:18.7329251Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.7329728Z 2024-04-03T16:54:18.7330530Z msg = Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py line=280. 2024-04-03T16:54:18.7331726Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:18.7332491Z Anneals the learning rate in each parameter group to a fixed value. 2024-04-03T16:54:18.7332943Z 2024-04-03T16:54:18.7333246Z This learning rate scheduler is meant to be used with Stochastic Weight 2024-04-03T16:54:18.7334091Z Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`). 2024-04-03T16:54:18.7334538Z 2024-04-03T16:54:18.7334630Z Args: 2024-04-03T16:54:18.7335083Z optimizer (torch.optim.Optimizer): wrapped optimizer 2024-04-03T16:54:18.7335754Z swa_lrs (float or list): the learning rate value for all param groups 2024-04-03T16:54:18.7336474Z together or separately for each group. 2024-04-03T16:54:18.7337095Z annealing_epochs (int): number of epochs in the annealing phase 2024-04-03T16:54:18.7337630Z (default: 10) 2024-04-03T16:54:18.7338145Z annealing_strategy (str): "cos" or "linear"; specifies the annealing 2024-04-03T16:54:18.7338863Z strategy: "cos" for cosine annealing, "linear" for linear annealing 2024-04-03T16:54:18.7339420Z (default: "cos") 2024-04-03T16:54:18.7339955Z last_epoch (int): the index of the last epoch (default: -1) 2024-04-03T16:54:18.7340352Z 2024-04-03T16:54:18.7340593Z The :class:`SWALR` scheduler can be used together with other 2024-04-03T16:54:18.7341328Z schedulers to switch to a constant learning rate late in the training 2024-04-03T16:54:18.7341909Z as in the example below. 2024-04-03T16:54:18.7342248Z 2024-04-03T16:54:18.7342345Z Example: 2024-04-03T16:54:18.7342679Z >>> # xdoctest: +SKIP("Undefined variables") 2024-04-03T16:54:18.7343161Z >>> loader, optimizer, model = ... 2024-04-03T16:54:18.7343588Z >>> lr_lambda = lambda epoch: 0.9 2024-04-03T16:54:18.7344170Z >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer, 2024-04-03T16:54:18.7344749Z >>> lr_lambda=lr_lambda) 2024-04-03T16:54:18.7345237Z >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, 2024-04-03T16:54:18.7345904Z >>> anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05) 2024-04-03T16:54:18.7346419Z >>> swa_start = 160 2024-04-03T16:54:18.7346765Z >>> for i in range(300): 2024-04-03T16:54:18.7347150Z >>> for input, target in loader: 2024-04-03T16:54:18.7347598Z >>> optimizer.zero_grad() 2024-04-03T16:54:18.7348077Z >>> loss_fn(model(input), target).backward() 2024-04-03T16:54:18.7348530Z >>> optimizer.step() 2024-04-03T16:54:18.7348922Z >>> if i > swa_start: 2024-04-03T16:54:18.7349312Z >>> swa_scheduler.step() 2024-04-03T16:54:18.7349689Z >>> else: 2024-04-03T16:54:18.7350006Z >>> scheduler.step() 2024-04-03T16:54:18.7350271Z 2024-04-03T16:54:18.7350605Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2024-04-03T16:54:18.7362758Z https://arxiv.org/abs/1803.05407 2024-04-03T16:54:18.7363178Z 2024-04-03T16:54:18.7363785Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:18.7364289Z 2024-04-03T16:54:19.0883866Z msg = Cannot scrape callname=assert_close in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_comparison.py line=1267. 2024-04-03T16:54:19.0885616Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:19.0886382Z Asserts that ``actual`` and ``expected`` are close. 2024-04-03T16:54:19.0886732Z 2024-04-03T16:54:19.0887417Z If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if 2024-04-03T16:54:19.0888158Z 2024-04-03T16:54:19.0888270Z .. math:: 2024-04-03T16:54:19.0888452Z 2024-04-03T16:54:19.0889158Z \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert 2024-04-03T16:54:19.0889923Z 2024-04-03T16:54:19.0890574Z Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are 2024-04-03T16:54:19.0891560Z only considered equal to each other if ``equal_nan`` is ``True``. 2024-04-03T16:54:19.0892058Z 2024-04-03T16:54:19.0892326Z In addition, they are only considered close if they have the same 2024-04-03T16:54:19.0892840Z 2024-04-03T16:54:19.0893168Z - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``), 2024-04-03T16:54:19.0893852Z - ``dtype`` (if ``check_dtype`` is ``True``), 2024-04-03T16:54:19.0894531Z - ``layout`` (if ``check_layout`` is ``True``), and 2024-04-03T16:54:19.0895345Z - stride (if ``check_stride`` is ``True``). 2024-04-03T16:54:19.0895789Z 2024-04-03T16:54:19.0896228Z If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed. 2024-04-03T16:54:19.0896894Z 2024-04-03T16:54:19.0897498Z If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are 2024-04-03T16:54:19.0898769Z checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR, 2024-04-03T16:54:19.0899836Z or ``ccol_indices`` and ``row_indices`` for CSC and BSC layouts, respectively, 2024-04-03T16:54:19.0900906Z are always checked for equality whereas the values are checked for closeness according to the definition above. 2024-04-03T16:54:19.0901730Z 2024-04-03T16:54:19.0902331Z If ``actual`` and ``expected`` are quantized, they are considered close if they have the same 2024-04-03T16:54:19.0903482Z :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the 2024-04-03T16:54:19.0904348Z definition above. 2024-04-03T16:54:19.0904542Z 2024-04-03T16:54:19.0905193Z ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which 2024-04-03T16:54:19.0906525Z :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types 2024-04-03T16:54:19.0907899Z have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s 2024-04-03T16:54:19.0909336Z or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all 2024-04-03T16:54:19.0910410Z their elements are considered close according to the above definition. 2024-04-03T16:54:19.0910950Z 2024-04-03T16:54:19.0911056Z .. note:: 2024-04-03T16:54:19.0911232Z 2024-04-03T16:54:19.0911762Z Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e. 2024-04-03T16:54:19.0913068Z :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus, 2024-04-03T16:54:19.0914113Z Python scalars of different types can be checked, but require ``check_dtype=False``. 2024-04-03T16:54:19.0914738Z 2024-04-03T16:54:19.0914856Z Args: 2024-04-03T16:54:19.0915138Z actual (Any): Actual input. 2024-04-03T16:54:19.0915609Z expected (Any): Expected input. 2024-04-03T16:54:19.0916513Z allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types 2024-04-03T16:54:19.0917442Z are allowed. Otherwise type equality is required. 2024-04-03T16:54:19.0918441Z rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default 2024-04-03T16:54:19.0919525Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2024-04-03T16:54:19.0920623Z atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default 2024-04-03T16:54:19.0921722Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2024-04-03T16:54:19.0922660Z equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal. 2024-04-03T16:54:19.0923580Z check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same 2024-04-03T16:54:19.0924526Z :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different 2024-04-03T16:54:19.0925445Z :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared. 2024-04-03T16:54:19.0926407Z check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this 2024-04-03T16:54:19.0927679Z check is disabled, tensors with different ``dtype``'s are promoted to a common ``dtype`` (according to 2024-04-03T16:54:19.0928648Z :func:`torch.promote_types`) before being compared. 2024-04-03T16:54:19.0929503Z check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this 2024-04-03T16:54:19.0930705Z check is disabled, tensors with different ``layout``'s are converted to strided tensors before being 2024-04-03T16:54:19.0931440Z compared. 2024-04-03T16:54:19.0932130Z check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride. 2024-04-03T16:54:19.0933256Z msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during 2024-04-03T16:54:19.0934548Z the comparison. Can also passed as callable in which case it will be called with the generated message and 2024-04-03T16:54:19.0935434Z should return the new message. 2024-04-03T16:54:19.0935731Z 2024-04-03T16:54:19.0935829Z Raises: 2024-04-03T16:54:19.0936307Z ValueError: If no :class:`torch.Tensor` can be constructed from an input. 2024-04-03T16:54:19.0937009Z ValueError: If only ``rtol`` or ``atol`` is specified. 2024-04-03T16:54:19.0937811Z AssertionError: If corresponding inputs are not Python scalars and are not directly related. 2024-04-03T16:54:19.0938912Z AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have 2024-04-03T16:54:19.0939677Z different types. 2024-04-03T16:54:19.0940500Z AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match. 2024-04-03T16:54:19.0941785Z AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match. 2024-04-03T16:54:19.0943058Z AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`. 2024-04-03T16:54:19.0944047Z AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same 2024-04-03T16:54:19.0944750Z :attr:`~torch.Tensor.layout`. 2024-04-03T16:54:19.0945334Z AssertionError: If only one of corresponding tensors is quantized. 2024-04-03T16:54:19.0946386Z AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s. 2024-04-03T16:54:19.0947450Z AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same 2024-04-03T16:54:19.0948142Z :attr:`~torch.Tensor.device`. 2024-04-03T16:54:19.0948973Z AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``. 2024-04-03T16:54:19.0950082Z AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride. 2024-04-03T16:54:19.0951199Z AssertionError: If the values of corresponding tensors are not close according to the definition above. 2024-04-03T16:54:19.0951903Z 2024-04-03T16:54:19.0952498Z The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching 2024-04-03T16:54:19.0953406Z ``dtype``'s, the maximum of both tolerances is used. 2024-04-03T16:54:19.0953763Z 2024-04-03T16:54:19.0953983Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0954463Z | ``dtype`` | ``rtol`` | ``atol`` | 2024-04-03T16:54:19.0954943Z +===========================+============+==========+ 2024-04-03T16:54:19.0955497Z | :attr:`~torch.float16` | ``1e-3`` | ``1e-5`` | 2024-04-03T16:54:19.0956027Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0956585Z | :attr:`~torch.bfloat16` | ``1.6e-2`` | ``1e-5`` | 2024-04-03T16:54:19.0957135Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0957670Z | :attr:`~torch.float32` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:19.0958290Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0958885Z | :attr:`~torch.float64` | ``1e-7`` | ``1e-7`` | 2024-04-03T16:54:19.0959429Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0959963Z | :attr:`~torch.complex32` | ``1e-3`` | ``1e-5`` | 2024-04-03T16:54:19.0960518Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0961068Z | :attr:`~torch.complex64` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:19.0961604Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0962163Z | :attr:`~torch.complex128` | ``1e-7`` | ``1e-7`` | 2024-04-03T16:54:19.0962781Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0963318Z | :attr:`~torch.quint8` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:19.0963866Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0964424Z | :attr:`~torch.quint2x4` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:19.0964961Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0965586Z | :attr:`~torch.quint4x2` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:19.0966126Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0966654Z | :attr:`~torch.qint8` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:19.0967238Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0967788Z | :attr:`~torch.qint32` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:19.0968314Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0968794Z | other | ``0.0`` | ``0.0`` | 2024-04-03T16:54:19.0969325Z +---------------------------+------------+----------+ 2024-04-03T16:54:19.0969640Z 2024-04-03T16:54:19.0969764Z .. note:: 2024-04-03T16:54:19.0969923Z 2024-04-03T16:54:19.0970441Z :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged 2024-04-03T16:54:19.0971615Z to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might 2024-04-03T16:54:19.0972642Z define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default: 2024-04-03T16:54:19.0973161Z 2024-04-03T16:54:19.0973275Z >>> import functools 2024-04-03T16:54:19.0973847Z >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2024-04-03T16:54:19.0974632Z >>> assert_equal(1e-9, 1e-10) 2024-04-03T16:54:19.0975136Z Traceback (most recent call last): 2024-04-03T16:54:19.0975533Z ... 2024-04-03T16:54:19.0975850Z AssertionError: Scalars are not equal! 2024-04-03T16:54:19.0976259Z 2024-04-03T16:54:19.0976619Z Expected 1e-10 but got 1e-09. 2024-04-03T16:54:19.0977109Z Absolute difference: 9.000000000000001e-10 2024-04-03T16:54:19.0977546Z Relative difference: 9.0 2024-04-03T16:54:19.0977808Z 2024-04-03T16:54:19.0977910Z Examples: 2024-04-03T16:54:19.0978215Z >>> # tensor to tensor comparison 2024-04-03T16:54:19.0978733Z >>> expected = torch.tensor([1e0, 1e-1, 1e-2]) 2024-04-03T16:54:19.0979235Z >>> actual = torch.acos(torch.cos(expected)) 2024-04-03T16:54:19.0979757Z >>> torch.testing.assert_close(actual, expected) 2024-04-03T16:54:19.0980106Z 2024-04-03T16:54:19.0980255Z >>> # scalar to scalar comparison 2024-04-03T16:54:19.0980642Z >>> import math 2024-04-03T16:54:19.0980977Z >>> expected = math.sqrt(2.0) 2024-04-03T16:54:19.0981386Z >>> actual = 2.0 / math.sqrt(2.0) 2024-04-03T16:54:19.0981885Z >>> torch.testing.assert_close(actual, expected) 2024-04-03T16:54:19.0982362Z 2024-04-03T16:54:19.0982524Z >>> # numpy array to numpy array comparison 2024-04-03T16:54:19.0982974Z >>> import numpy as np 2024-04-03T16:54:19.0983422Z >>> expected = np.array([1e0, 1e-1, 1e-2]) 2024-04-03T16:54:19.0983981Z >>> actual = np.arccos(np.cos(expected)) 2024-04-03T16:54:19.0984550Z >>> torch.testing.assert_close(actual, expected) 2024-04-03T16:54:19.0984894Z 2024-04-03T16:54:19.0985076Z >>> # sequence to sequence comparison 2024-04-03T16:54:19.0985505Z >>> import numpy as np 2024-04-03T16:54:19.0986120Z >>> # The types of the sequences do not have to match. They only have to have the same 2024-04-03T16:54:19.0986826Z >>> # length and their elements have to match. 2024-04-03T16:54:19.0987360Z >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2024-04-03T16:54:19.0987859Z >>> actual = tuple(expected) 2024-04-03T16:54:19.0988371Z >>> torch.testing.assert_close(actual, expected) 2024-04-03T16:54:19.0988710Z 2024-04-03T16:54:19.0988855Z >>> # mapping to mapping comparison 2024-04-03T16:54:19.0989322Z >>> from collections import OrderedDict 2024-04-03T16:54:19.0989761Z >>> import numpy as np 2024-04-03T16:54:19.0990117Z >>> foo = torch.tensor(1.0) 2024-04-03T16:54:19.0990490Z >>> bar = 2.0 2024-04-03T16:54:19.0990799Z >>> baz = np.array(3.0) 2024-04-03T16:54:19.0991389Z >>> # The types and a possible ordering of mappings do not have to match. They only 2024-04-03T16:54:19.0992203Z >>> # have to have the same set of keys and their elements have to match. 2024-04-03T16:54:19.0992976Z >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2024-04-03T16:54:19.0993584Z >>> actual = {"baz": baz, "bar": bar, "foo": foo} 2024-04-03T16:54:19.0994112Z >>> torch.testing.assert_close(actual, expected) 2024-04-03T16:54:19.0994458Z 2024-04-03T16:54:19.0994636Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2024-04-03T16:54:19.0995086Z >>> actual = expected.clone() 2024-04-03T16:54:19.0995601Z >>> # By default, directly related instances can be compared 2024-04-03T16:54:19.0996293Z >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2024-04-03T16:54:19.0997016Z >>> # This check can be made more strict with allow_subclasses=False 2024-04-03T16:54:19.0997576Z >>> torch.testing.assert_close( 2024-04-03T16:54:19.0998136Z ... torch.nn.Parameter(actual), expected, allow_subclasses=False 2024-04-03T16:54:19.0998667Z ... ) 2024-04-03T16:54:19.0998959Z Traceback (most recent call last): 2024-04-03T16:54:19.0999356Z ... 2024-04-03T16:54:19.0999781Z TypeError: No comparison pair was able to handle inputs of type 2024-04-03T16:54:19.1000555Z and . 2024-04-03T16:54:19.1001327Z >>> # If the inputs are not directly related, they are never considered close 2024-04-03T16:54:19.1002035Z >>> torch.testing.assert_close(actual.numpy(), expected) 2024-04-03T16:54:19.1002551Z Traceback (most recent call last): 2024-04-03T16:54:19.1002946Z ... 2024-04-03T16:54:19.1003631Z TypeError: No comparison pair was able to handle inputs of type 2024-04-03T16:54:19.1004341Z and . 2024-04-03T16:54:19.1004973Z >>> # Exceptions to these rules are Python scalars. They can be checked regardless of 2024-04-03T16:54:19.1005645Z >>> # their type if check_dtype=False. 2024-04-03T16:54:19.1006166Z >>> torch.testing.assert_close(1.0, 1, check_dtype=False) 2024-04-03T16:54:19.1006559Z 2024-04-03T16:54:19.1006680Z >>> # NaN != NaN by default. 2024-04-03T16:54:19.1007110Z >>> expected = torch.tensor(float("Nan")) 2024-04-03T16:54:19.1007564Z >>> actual = expected.clone() 2024-04-03T16:54:19.1008021Z >>> torch.testing.assert_close(actual, expected) 2024-04-03T16:54:19.1008516Z Traceback (most recent call last): 2024-04-03T16:54:19.1008911Z ... 2024-04-03T16:54:19.1009210Z AssertionError: Scalars are not close! 2024-04-03T16:54:19.1009629Z 2024-04-03T16:54:19.1009979Z Expected nan but got nan. 2024-04-03T16:54:19.1010535Z Absolute difference: nan (up to 1e-05 allowed) 2024-04-03T16:54:19.1011132Z Relative difference: nan (up to 1.3e-06 allowed) 2024-04-03T16:54:19.1011746Z >>> torch.testing.assert_close(actual, expected, equal_nan=True) 2024-04-03T16:54:19.1012161Z 2024-04-03T16:54:19.1012326Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2024-04-03T16:54:19.1012807Z >>> actual = torch.tensor([1.0, 4.0, 5.0]) 2024-04-03T16:54:19.1013323Z >>> # The default error message can be overwritten. 2024-04-03T16:54:19.1014149Z >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!") 2024-04-03T16:54:19.1014896Z Traceback (most recent call last): 2024-04-03T16:54:19.1015297Z ... 2024-04-03T16:54:19.1015634Z AssertionError: Argh, the tensors are not close! 2024-04-03T16:54:19.1016330Z >>> # If msg is a callable, it can be used to augment the generated message with 2024-04-03T16:54:19.1016948Z >>> # extra information 2024-04-03T16:54:19.1017318Z >>> torch.testing.assert_close( 2024-04-03T16:54:19.1017873Z ... actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter" 2024-04-03T16:54:19.1018399Z ... ) 2024-04-03T16:54:19.1018690Z Traceback (most recent call last): 2024-04-03T16:54:19.1019124Z ... 2024-04-03T16:54:19.1019398Z AssertionError: Header 2024-04-03T16:54:19.1019731Z 2024-04-03T16:54:19.1020089Z Tensor-likes are not close! 2024-04-03T16:54:19.1020466Z 2024-04-03T16:54:19.1020780Z Mismatched elements: 2 / 3 (66.7%) 2024-04-03T16:54:19.1021445Z Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed) 2024-04-03T16:54:19.1022388Z Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed) 2024-04-03T16:54:19.1022960Z 2024-04-03T16:54:19.1023230Z Footer 2024-04-03T16:54:19.1023506Z 2024-04-03T16:54:19.1024051Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:19.1024582Z 2024-04-03T16:54:20.2263088Z msg = Cannot scrape callname=register_pytree_node in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=114. 2024-04-03T16:54:20.2265298Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:20.2266038Z Register a container-like type as pytree node. 2024-04-03T16:54:20.2266402Z 2024-04-03T16:54:20.2266561Z Args: 2024-04-03T16:54:20.2266981Z cls (type): A Python type to treat as an internal pytree node. 2024-04-03T16:54:20.2267789Z flatten_fn (callable): A function to be used during flattening, taking an instance of 2024-04-03T16:54:20.2268689Z ``cls`` and returning a pair, with (1) an iterable for the children to be flattened 2024-04-03T16:54:20.2269601Z recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be 2024-04-03T16:54:20.2270370Z passed to the ``unflatten_fn``. 2024-04-03T16:54:20.2271069Z unflatten_fn (callable): A function taking two arguments: the auxiliary data that was 2024-04-03T16:54:20.2271958Z returned by ``flatten_fn`` and stored in the treespec, and the unflattened children. 2024-04-03T16:54:20.2272705Z The function should return an instance of ``cls``. 2024-04-03T16:54:20.2273432Z serialized_type_name (str, optional): A keyword argument used to specify the fully 2024-04-03T16:54:20.2274158Z qualified name used when serializing the tree spec. 2024-04-03T16:54:20.2274954Z to_dumpable_context (callable, optional): An optional keyword argument to custom specify how 2024-04-03T16:54:20.2275917Z to convert the context of the pytree to a custom json dumpable representation. This is 2024-04-03T16:54:20.2277044Z used for json serialization, which is being used in :mod:`torch.export` right now. 2024-04-03T16:54:20.2278065Z from_dumpable_context (callable, optional): An optional keyword argument to custom specify 2024-04-03T16:54:20.2278992Z how to convert the custom json dumpable representation of the context back to the 2024-04-03T16:54:20.2279883Z original context. This is used for json deserialization, which is being used in 2024-04-03T16:54:20.2280535Z :mod:`torch.export` right now. 2024-04-03T16:54:20.2280847Z 2024-04-03T16:54:20.2280965Z Example:: 2024-04-03T16:54:20.2281132Z 2024-04-03T16:54:20.2281261Z >>> # xdoctest: +SKIP 2024-04-03T16:54:20.2281683Z >>> # Registry a Python type with lambda functions 2024-04-03T16:54:20.2282216Z >>> register_pytree_node( 2024-04-03T16:54:20.2282578Z ... set, 2024-04-03T16:54:20.2282915Z ... lambda s: (sorted(s), None, None), 2024-04-03T16:54:20.2283401Z ... lambda children, _: set(children), 2024-04-03T16:54:20.2283830Z ... ) 2024-04-03T16:54:20.2284074Z 2024-04-03T16:54:20.2284618Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:20.2285118Z 2024-04-03T16:54:20.2714509Z msg = Cannot scrape callname=_pt2_selective_checkpoint_context_fn_gen in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1257. 2024-04-03T16:54:20.2716180Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:20.2716683Z 2024-04-03T16:54:20.2717054Z A helper function that generates a pair of contexts to be later passed into 2024-04-03T16:54:20.2717824Z `torch.utils.checkpoint` API to implment selective checkpointing. 2024-04-03T16:54:20.2718293Z 2024-04-03T16:54:20.2718413Z .. warning:: 2024-04-03T16:54:20.2718851Z This is context_fn is intended for use with torch.compile only. 2024-04-03T16:54:20.2719273Z 2024-04-03T16:54:20.2719366Z Args: 2024-04-03T16:54:20.2719869Z policy_fn (Callable[[Callable, List[Any], Dict[str, Any]], bool]): Policy function 2024-04-03T16:54:20.2720752Z to decide whether a particular op should be recomputed in backward pass or not. 2024-04-03T16:54:20.2721372Z In eager mode: 2024-04-03T16:54:20.2721893Z If policy_fn(...) returns True, the op is guaranteed to NOT be recomputed. 2024-04-03T16:54:20.2722673Z If policy_fn(...) returns False, the op is guaranteed to be recomputed. 2024-04-03T16:54:20.2723263Z In torch.compile mode: 2024-04-03T16:54:20.2723800Z If policy_fn(...) returns True, the op is guaranteed to NOT be recomputed. 2024-04-03T16:54:20.2724559Z If policy_fn(...) returns False, the op may or may not be recomputed 2024-04-03T16:54:20.2725236Z (it's up to the partitioner to decide). 2024-04-03T16:54:20.2725566Z 2024-04-03T16:54:20.2725664Z Returns: 2024-04-03T16:54:20.2725950Z A pair of generated contexts. 2024-04-03T16:54:20.2726220Z 2024-04-03T16:54:20.2726334Z Example: 2024-04-03T16:54:20.2726609Z >>> # xdoctest: +REQUIRES(LINUX) 2024-04-03T16:54:20.2726982Z >>> 2024-04-03T16:54:20.2727254Z >>> def get_custom_policy(): 2024-04-03T16:54:20.2727624Z >>> no_recompute_list = [ 2024-04-03T16:54:20.2728038Z >>> torch.ops.aten.mm.default, 2024-04-03T16:54:20.2728447Z >>> ] 2024-04-03T16:54:20.2728797Z >>> def custom_policy(mode, func, *args, **kwargs): 2024-04-03T16:54:20.2729308Z >>> return func in no_recompute_list 2024-04-03T16:54:20.2729749Z >>> return custom_policy 2024-04-03T16:54:20.2730085Z >>> 2024-04-03T16:54:20.2730401Z >>> def selective_checkpointing_context_fn(): 2024-04-03T16:54:20.2731021Z >>> return _pt2_selective_checkpoint_context_fn_gen(get_custom_policy()) 2024-04-03T16:54:20.2731553Z >>> 2024-04-03T16:54:20.2731807Z >>> def gn(x, y): 2024-04-03T16:54:20.2732267Z >>> return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y 2024-04-03T16:54:20.2732900Z >>> 2024-04-03T16:54:20.2733206Z >>> def fn(x, y): 2024-04-03T16:54:20.2733604Z >>> return torch.utils.checkpoint.checkpoint( 2024-04-03T16:54:20.2734153Z >>> gn, x, y, 2024-04-03T16:54:20.2734494Z >>> use_reentrant=False, 2024-04-03T16:54:20.2734966Z >>> context_fn=selective_checkpointing_context_fn, 2024-04-03T16:54:20.2735410Z >>> ) 2024-04-03T16:54:20.2735673Z >>> 2024-04-03T16:54:20.2735979Z >>> x = torch.randn(4, 4, requires_grad=True) 2024-04-03T16:54:20.2736448Z >>> y = torch.randn(4, 4, requires_grad=True) 2024-04-03T16:54:20.2736862Z >>> 2024-04-03T16:54:20.2737143Z >>> compiled_fn = torch.compile(fn) 2024-04-03T16:54:20.2737512Z 2024-04-03T16:54:20.2737910Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:20.2738408Z 2024-04-03T16:54:20.2949632Z msg = Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=927. 2024-04-03T16:54:20.2951284Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:20.2951782Z 2024-04-03T16:54:20.2952002Z Create a :class:`setuptools.Extension` for C++. 2024-04-03T16:54:20.2952340Z 2024-04-03T16:54:20.2952649Z Convenience method that creates a :class:`setuptools.Extension` with the 2024-04-03T16:54:20.2953532Z bare minimum (but often sufficient) arguments to build a C++ extension. 2024-04-03T16:54:20.2954000Z 2024-04-03T16:54:20.2954267Z All arguments are forwarded to the :class:`setuptools.Extension` 2024-04-03T16:54:20.2954990Z constructor. Full list arguments can be found at 2024-04-03T16:54:20.2956057Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2024-04-03T16:54:20.2957028Z 2024-04-03T16:54:20.2957208Z Example: 2024-04-03T16:54:20.2957709Z >>> # xdoctest: +SKIP 2024-04-03T16:54:20.2958352Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-04-03T16:54:20.2959230Z >>> from setuptools import setup 2024-04-03T16:54:20.2960289Z >>> from torch.utils.cpp_extension import BuildExtension, CppExtension 2024-04-03T16:54:20.2960840Z >>> setup( 2024-04-03T16:54:20.2961172Z ... name='extension', 2024-04-03T16:54:20.2961521Z ... ext_modules=[ 2024-04-03T16:54:20.2961838Z ... CppExtension( 2024-04-03T16:54:20.2962240Z ... name='extension', 2024-04-03T16:54:20.2962712Z ... sources=['extension.cpp'], 2024-04-03T16:54:20.2963199Z ... extra_compile_args=['-g'], 2024-04-03T16:54:20.2963760Z ... extra_link_flags=['-Wl,--no-as-needed', '-lm']) 2024-04-03T16:54:20.2964224Z ... ], 2024-04-03T16:54:20.2964486Z ... cmdclass={ 2024-04-03T16:54:20.2964868Z ... 'build_ext': BuildExtension 2024-04-03T16:54:20.2965266Z ... }) 2024-04-03T16:54:20.2965450Z 2024-04-03T16:54:20.2966048Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:20.2966807Z 2024-04-03T16:54:20.2968386Z msg = Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=975. 2024-04-03T16:54:20.2970361Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:20.2970870Z 2024-04-03T16:54:20.2971077Z Create a :class:`setuptools.Extension` for CUDA/C++. 2024-04-03T16:54:20.2971440Z 2024-04-03T16:54:20.2971764Z Convenience method that creates a :class:`setuptools.Extension` with the 2024-04-03T16:54:20.2972488Z bare minimum (but often sufficient) arguments to build a CUDA/C++ 2024-04-03T16:54:20.2973221Z extension. This includes the CUDA include path, library path and runtime 2024-04-03T16:54:20.2973797Z library. 2024-04-03T16:54:20.2973940Z 2024-04-03T16:54:20.2974284Z All arguments are forwarded to the :class:`setuptools.Extension` 2024-04-03T16:54:20.2974903Z constructor. Full list arguments can be found at 2024-04-03T16:54:20.2976082Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2024-04-03T16:54:20.2977188Z 2024-04-03T16:54:20.2977377Z Example: 2024-04-03T16:54:20.2977826Z >>> # xdoctest: +SKIP 2024-04-03T16:54:20.2978537Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-04-03T16:54:20.2979377Z >>> from setuptools import setup 2024-04-03T16:54:20.2980478Z >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension 2024-04-03T16:54:20.2981473Z >>> setup( 2024-04-03T16:54:20.2981819Z ... name='cuda_extension', 2024-04-03T16:54:20.2982380Z ... ext_modules=[ 2024-04-03T16:54:20.2982720Z ... CUDAExtension( 2024-04-03T16:54:20.2983250Z ... name='cuda_extension', 2024-04-03T16:54:20.2983822Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-04-03T16:54:20.2984430Z ... extra_compile_args={'cxx': ['-g'], 2024-04-03T16:54:20.2984985Z ... 'nvcc': ['-O2']}, 2024-04-03T16:54:20.2985578Z ... extra_link_flags=['-Wl,--no-as-needed', '-lcuda']) 2024-04-03T16:54:20.2986059Z ... ], 2024-04-03T16:54:20.2986332Z ... cmdclass={ 2024-04-03T16:54:20.2986707Z ... 'build_ext': BuildExtension 2024-04-03T16:54:20.2987108Z ... }) 2024-04-03T16:54:20.2987271Z 2024-04-03T16:54:20.2987448Z Compute capabilities: 2024-04-03T16:54:20.2987650Z 2024-04-03T16:54:20.2988068Z By default the extension will be compiled to run on all archs of the cards visible during the 2024-04-03T16:54:20.2989054Z building process of the extension, plus PTX. If down the road a new card is installed the 2024-04-03T16:54:20.2990071Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's 2024-04-03T16:54:20.2991135Z newer than the newest version for which your nvcc can build fully-compiled binaries, Pytorch 2024-04-03T16:54:20.2992101Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does 2024-04-03T16:54:20.2992818Z support (see below for details on PTX). 2024-04-03T16:54:20.2993111Z 2024-04-03T16:54:20.2993546Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which 2024-04-03T16:54:20.2994264Z CCs you want the extension to support: 2024-04-03T16:54:20.2994570Z 2024-04-03T16:54:20.2994814Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py`` 2024-04-03T16:54:20.2995570Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py`` 2024-04-03T16:54:20.2996081Z 2024-04-03T16:54:20.2996524Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified 2024-04-03T16:54:20.2997614Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >= 2024-04-03T16:54:20.2998707Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with 2024-04-03T16:54:20.2999785Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to 2024-04-03T16:54:20.3000836Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on 2024-04-03T16:54:20.3001908Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better 2024-04-03T16:54:20.3002909Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6, 2024-04-03T16:54:20.3004018Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but 2024-04-03T16:54:20.3004718Z "8.0 8.6" would be better. 2024-04-03T16:54:20.3004949Z 2024-04-03T16:54:20.3005431Z Note that while it's possible to include all supported archs, the more archs get included the 2024-04-03T16:54:20.3006421Z slower the building process will be, as it will build a separate kernel image for each arch. 2024-04-03T16:54:20.3006991Z 2024-04-03T16:54:20.3007572Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows. 2024-04-03T16:54:20.3008527Z To workaround the issue, move python binding logic to pure C++ file. 2024-04-03T16:54:20.3008970Z 2024-04-03T16:54:20.3009087Z Example use: 2024-04-03T16:54:20.3009358Z #include 2024-04-03T16:54:20.3009797Z at::Tensor SigmoidAlphaBlendForwardCuda(....) 2024-04-03T16:54:20.3010152Z 2024-04-03T16:54:20.3010255Z Instead of: 2024-04-03T16:54:20.3010541Z #include 2024-04-03T16:54:20.3010984Z torch::Tensor SigmoidAlphaBlendForwardCuda(...) 2024-04-03T16:54:20.3011352Z 2024-04-03T16:54:20.3011711Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460 2024-04-03T16:54:20.3012925Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48 2024-04-03T16:54:20.3013720Z 2024-04-03T16:54:20.3013852Z Relocatable device code linking: 2024-04-03T16:54:20.3014200Z 2024-04-03T16:54:20.3014580Z If you want to reference device symbols across compilation units (across object files), 2024-04-03T16:54:20.3015572Z the object files need to be built with `relocatable device code` (-rdc=true or -dc). 2024-04-03T16:54:20.3016595Z An exception to this rule is "dynamic parallelism" (nested kernel launches) which is not used a lot anymore. 2024-04-03T16:54:20.3017735Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it. 2024-04-03T16:54:20.3018861Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step 2024-04-03T16:54:20.3019739Z help reduce the protentional perf degradation of `-rdc`. 2024-04-03T16:54:20.3020341Z Note that it needs to be used at both steps to be useful. 2024-04-03T16:54:20.3020738Z 2024-04-03T16:54:20.3021356Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step. 2024-04-03T16:54:20.3022466Z There is also a case where `-dlink` is used without `-rdc`: 2024-04-03T16:54:20.3023277Z when an extension is linked against a static lib containing rdc-compiled objects 2024-04-03T16:54:20.3024057Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem). 2024-04-03T16:54:20.3024508Z 2024-04-03T16:54:20.3024781Z Note: Ninja is required to build a CUDA Extension with RDC linking. 2024-04-03T16:54:20.3025215Z 2024-04-03T16:54:20.3025327Z Example: 2024-04-03T16:54:20.3025581Z >>> # xdoctest: +SKIP 2024-04-03T16:54:20.3026002Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-04-03T16:54:20.3026469Z >>> CUDAExtension( 2024-04-03T16:54:20.3026830Z ... name='cuda_extension', 2024-04-03T16:54:20.3027368Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-04-03T16:54:20.3027856Z ... dlink=True, 2024-04-03T16:54:20.3028213Z ... dlink_libraries=["dlink_lib"], 2024-04-03T16:54:20.3028726Z ... extra_compile_args={'cxx': ['-g'], 2024-04-03T16:54:20.3029279Z ... 'nvcc': ['-O2', '-rdc=true']}) 2024-04-03T16:54:20.3029614Z 2024-04-03T16:54:20.3029995Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:20.3030490Z 2024-04-03T16:54:20.3031261Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1229. 2024-04-03T16:54:20.3032481Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:20.3032978Z 2024-04-03T16:54:20.3033220Z Load a PyTorch C++ extension just-in-time (JIT). 2024-04-03T16:54:20.3033560Z 2024-04-03T16:54:20.3033844Z To load an extension, a Ninja build file is emitted, which is used to 2024-04-03T16:54:20.3034560Z compile the given sources into a dynamic library. This library is 2024-04-03T16:54:20.3035270Z subsequently loaded into the current Python process as a module and 2024-04-03T16:54:20.3035861Z returned from this function, ready for use. 2024-04-03T16:54:20.3036253Z 2024-04-03T16:54:20.3036602Z By default, the directory to which the build file is emitted and the 2024-04-03T16:54:20.3037402Z resulting library compiled to is ``/torch_extensions/``, where 2024-04-03T16:54:20.3038154Z ```` is the temporary folder on the current platform and ```` 2024-04-03T16:54:20.3038901Z the name of the extension. This location can be overridden in two ways. 2024-04-03T16:54:20.3039630Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it 2024-04-03T16:54:20.3040362Z replaces ``/torch_extensions`` and all extensions will be compiled 2024-04-03T16:54:20.3041104Z into subfolders of this directory. Second, if the ``build_directory`` 2024-04-03T16:54:20.3041866Z argument to this function is supplied, it overrides the entire path, i.e. 2024-04-03T16:54:20.3042598Z the library will be compiled into that folder directly. 2024-04-03T16:54:20.3042985Z 2024-04-03T16:54:20.3043271Z To compile the sources, the default system compiler (``c++``) is used, 2024-04-03T16:54:20.3044054Z which can be overridden by setting the ``CXX`` environment variable. To pass 2024-04-03T16:54:20.3044825Z additional arguments to the compilation process, ``extra_cflags`` or 2024-04-03T16:54:20.3045578Z ``extra_ldflags`` can be provided. For example, to compile your extension 2024-04-03T16:54:20.3046374Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use 2024-04-03T16:54:20.3047051Z ``extra_cflags`` to pass further include directories. 2024-04-03T16:54:20.3047401Z 2024-04-03T16:54:20.3047708Z CUDA support with mixed compilation is provided. Simply pass CUDA source 2024-04-03T16:54:20.3048437Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be 2024-04-03T16:54:20.3049183Z detected and compiled with nvcc rather than the C++ compiler. This includes 2024-04-03T16:54:20.3049936Z passing the CUDA lib64 directory as a library directory, and linking 2024-04-03T16:54:20.3050580Z ``cudart``. You can pass additional flags to nvcc via 2024-04-03T16:54:20.3051212Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various 2024-04-03T16:54:20.3051942Z heuristics for finding the CUDA install directory are used, which usually 2024-04-03T16:54:20.3052703Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the 2024-04-03T16:54:20.3053260Z safest option. 2024-04-03T16:54:20.3053427Z 2024-04-03T16:54:20.3053514Z Args: 2024-04-03T16:54:20.3053950Z name: The name of the extension to build. This MUST be the same as the 2024-04-03T16:54:20.3054664Z name of the pybind11 module! 2024-04-03T16:54:20.3055206Z sources: A list of relative or absolute paths to C++ source files. 2024-04-03T16:54:20.3055940Z extra_cflags: optional list of compiler flags to forward to the build. 2024-04-03T16:54:20.3056690Z extra_cuda_cflags: optional list of compiler flags to forward to nvcc 2024-04-03T16:54:20.3057268Z when building CUDA sources. 2024-04-03T16:54:20.3057816Z extra_ldflags: optional list of linker flags to forward to the build. 2024-04-03T16:54:20.3058544Z extra_include_paths: optional list of include directories to forward 2024-04-03T16:54:20.3059093Z to the build. 2024-04-03T16:54:20.3059504Z build_directory: optional path to use as build workspace. 2024-04-03T16:54:20.3060137Z verbose: If ``True``, turns on verbose logging of load steps. 2024-04-03T16:54:20.3060832Z with_cuda: Determines whether CUDA headers and libraries are added to 2024-04-03T16:54:20.3061496Z the build. If set to ``None`` (default), this value is 2024-04-03T16:54:20.3062257Z automatically determined based on the existence of ``.cu`` or 2024-04-03T16:54:20.3062920Z ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers 2024-04-03T16:54:20.3063451Z and libraries to be included. 2024-04-03T16:54:20.3064008Z is_python_module: If ``True`` (default), imports the produced shared 2024-04-03T16:54:20.3064700Z library as a Python module. If ``False``, behavior depends on 2024-04-03T16:54:20.3065294Z ``is_standalone``. 2024-04-03T16:54:20.3065826Z is_standalone: If ``False`` (default) loads the constructed extension 2024-04-03T16:54:20.3066545Z into the process as a plain dynamic library. If ``True``, build a 2024-04-03T16:54:20.3067105Z standalone executable. 2024-04-03T16:54:20.3067347Z 2024-04-03T16:54:20.3067440Z Returns: 2024-04-03T16:54:20.3067734Z If ``is_python_module`` is ``True``: 2024-04-03T16:54:20.3068261Z Returns the loaded PyTorch extension as a Python module. 2024-04-03T16:54:20.3068650Z 2024-04-03T16:54:20.3068927Z If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``: 2024-04-03T16:54:20.3069652Z Returns nothing. (The shared library is loaded into the process as 2024-04-03T16:54:20.3070248Z a side effect.) 2024-04-03T16:54:20.3070449Z 2024-04-03T16:54:20.3070580Z If ``is_standalone`` is ``True``. 2024-04-03T16:54:20.3071126Z Return the path to the executable. (On Windows, TORCH_LIB_PATH is 2024-04-03T16:54:20.3071803Z added to the PATH environment variable as a side effect.) 2024-04-03T16:54:20.3072199Z 2024-04-03T16:54:20.3072307Z Example: 2024-04-03T16:54:20.3072558Z >>> # xdoctest: +SKIP 2024-04-03T16:54:20.3072952Z >>> from torch.utils.cpp_extension import load 2024-04-03T16:54:20.3073478Z >>> module = load( 2024-04-03T16:54:20.3074099Z ... name='extension', 2024-04-03T16:54:20.3074879Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-04-03T16:54:20.3075408Z ... extra_cflags=['-O2'], 2024-04-03T16:54:20.3075755Z ... verbose=True) 2024-04-03T16:54:20.3075976Z 2024-04-03T16:54:20.3076355Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:20.3076836Z 2024-04-03T16:54:20.3077660Z msg = Cannot scrape callname=load_inline in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1521. 2024-04-03T16:54:20.3078902Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:20.3079409Z 2024-04-03T16:54:20.3079750Z Load a PyTorch C++ extension just-in-time (JIT) from string sources. 2024-04-03T16:54:20.3080197Z 2024-04-03T16:54:20.3080499Z This function behaves exactly like :func:`load`, but takes its sources as 2024-04-03T16:54:20.3081262Z strings rather than filenames. These strings are stored to files in the 2024-04-03T16:54:20.3081984Z build directory, after which the behavior of :func:`load_inline` is 2024-04-03T16:54:20.3082535Z identical to :func:`load`. 2024-04-03T16:54:20.3082755Z 2024-04-03T16:54:20.3082860Z See `the 2024-04-03T16:54:20.3083408Z tests `_ 2024-04-03T16:54:20.3084148Z for good examples of using this function. 2024-04-03T16:54:20.3084451Z 2024-04-03T16:54:20.3084839Z Sources may omit two required parts of a typical non-inline C++ extension: 2024-04-03T16:54:20.3085630Z the necessary header includes, as well as the (pybind11) binding code. More 2024-04-03T16:54:20.3086425Z precisely, strings passed to ``cpp_sources`` are first concatenated into a 2024-04-03T16:54:20.3087150Z single ``.cpp`` file. This file is then prepended with ``#include 2024-04-03T16:54:20.3087669Z ``. 2024-04-03T16:54:20.3087881Z 2024-04-03T16:54:20.3088177Z Furthermore, if the ``functions`` argument is supplied, bindings will be 2024-04-03T16:54:20.3088937Z automatically generated for each function specified. ``functions`` can 2024-04-03T16:54:20.3089698Z either be a list of function names, or a dictionary mapping from function 2024-04-03T16:54:20.3090464Z names to docstrings. If a list is given, the name of each function is used 2024-04-03T16:54:20.3091045Z as its docstring. 2024-04-03T16:54:20.3091220Z 2024-04-03T16:54:20.3091525Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu`` 2024-04-03T16:54:20.3092193Z file and prepended with ``torch/types.h``, ``cuda.h`` and 2024-04-03T16:54:20.3092891Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled 2024-04-03T16:54:20.3093652Z separately, but ultimately linked into a single library. Note that no 2024-04-03T16:54:20.3094483Z bindings are generated for functions in ``cuda_sources`` per se. To bind 2024-04-03T16:54:20.3095261Z to a CUDA kernel, you must create a C++ function that calls it, and either 2024-04-03T16:54:20.3096021Z declare or define this C++ function in one of the ``cpp_sources`` (and 2024-04-03T16:54:20.3096608Z include its name in ``functions``). 2024-04-03T16:54:20.3096878Z 2024-04-03T16:54:20.3097118Z See :func:`load` for a description of arguments omitted below. 2024-04-03T16:54:20.3097532Z 2024-04-03T16:54:20.3097659Z Args: 2024-04-03T16:54:20.3098090Z cpp_sources: A string, or list of strings, containing C++ source code. 2024-04-03T16:54:20.3098831Z cuda_sources: A string, or list of strings, containing CUDA source code. 2024-04-03T16:54:20.3099569Z functions: A list of function names for which to generate function 2024-04-03T16:54:20.3100289Z bindings. If a dictionary is given, it should map function names to 2024-04-03T16:54:20.3100964Z docstrings (which are otherwise just the function names). 2024-04-03T16:54:20.3101646Z with_cuda: Determines whether CUDA headers and libraries are added to 2024-04-03T16:54:20.3102430Z the build. If set to ``None`` (default), this value is 2024-04-03T16:54:20.3103130Z automatically determined based on whether ``cuda_sources`` is 2024-04-03T16:54:20.3103762Z provided. Set it to ``True`` to force CUDA headers 2024-04-03T16:54:20.3104262Z and libraries to be included. 2024-04-03T16:54:20.3104807Z with_pytorch_error_handling: Determines whether pytorch error and 2024-04-03T16:54:20.3105489Z warning macros are handled by pytorch instead of pybind. To do 2024-04-03T16:54:20.3106210Z this, each function ``foo`` is called via an intermediary ``_safe_foo`` 2024-04-03T16:54:20.3106933Z function. This redirection might cause issues in obscure cases 2024-04-03T16:54:20.3107605Z of cpp. This flag should be set to ``False`` when this redirect 2024-04-03T16:54:20.3108139Z causes issues. 2024-04-03T16:54:20.3108332Z 2024-04-03T16:54:20.3108437Z Example: 2024-04-03T16:54:20.3108766Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-04-03T16:54:20.3109327Z >>> from torch.utils.cpp_extension import load_inline 2024-04-03T16:54:20.3109794Z >>> source = """ 2024-04-03T16:54:20.3110167Z at::Tensor sin_add(at::Tensor x, at::Tensor y) { 2024-04-03T16:54:20.3110623Z return x.sin() + y.sin(); 2024-04-03T16:54:20.3110961Z } 2024-04-03T16:54:20.3111178Z """ 2024-04-03T16:54:20.3111566Z >>> module = load_inline(name='inline_extension', 2024-04-03T16:54:20.3112058Z ... cpp_sources=[source], 2024-04-03T16:54:20.3112557Z ... functions=['sin_add']) 2024-04-03T16:54:20.3112881Z 2024-04-03T16:54:20.3112977Z .. note:: 2024-04-03T16:54:20.3113403Z By default, the Ninja backend uses #CPUS + 2 workers to build the 2024-04-03T16:54:20.3114103Z extension. This may use up too many resources on some systems. One 2024-04-03T16:54:20.3114846Z can control the number of workers by setting the `MAX_JOBS` environment 2024-04-03T16:54:20.3115482Z variable to a non-negative number. 2024-04-03T16:54:20.3115761Z 2024-04-03T16:54:20.3116160Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:20.3116869Z 2024-04-03T16:54:20.3136448Z msg = Cannot scrape callname=ThroughputBenchmark in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=60. 2024-04-03T16:54:20.3137822Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:20.3138318Z 2024-04-03T16:54:20.3138758Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark. 2024-04-03T16:54:20.3139320Z 2024-04-03T16:54:20.3139805Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible 2024-04-03T16:54:20.3140718Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference 2024-04-03T16:54:20.3141545Z server like load. It can emulate multiple calling threads to a single module 2024-04-03T16:54:20.3142534Z provided. In the future we plan to enhance this component to support inter and 2024-04-03T16:54:20.3143441Z intra-op parallelism as well as multiple models running in a single process. 2024-04-03T16:54:20.3143935Z 2024-04-03T16:54:20.3144278Z Please note that even though nn.Module is supported, it might incur an overhead 2024-04-03T16:54:20.3145105Z from the need to hold GIL every time we execute Python code or pass around 2024-04-03T16:54:20.3145956Z inputs as Python objects. As soon as you have a ScriptModule version of your 2024-04-03T16:54:20.3146745Z model for inference deployment it is better to switch to using it in this 2024-04-03T16:54:20.3147318Z benchmark. 2024-04-03T16:54:20.3147472Z 2024-04-03T16:54:20.3147587Z Example:: 2024-04-03T16:54:20.3147734Z 2024-04-03T16:54:20.3147881Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:20.3148377Z >>> from torch.utils import ThroughputBenchmark 2024-04-03T16:54:20.3148895Z >>> bench = ThroughputBenchmark(my_module) 2024-04-03T16:54:20.3149486Z >>> # Pre-populate benchmark's data set with the inputs 2024-04-03T16:54:20.3150023Z >>> for input in inputs: 2024-04-03T16:54:20.3150569Z ... # Both args and kwargs work, same as any PyTorch Module / ScriptModule 2024-04-03T16:54:20.3151205Z ... bench.add_input(input[0], x2=input[1]) 2024-04-03T16:54:20.3151779Z >>> # Inputs supplied above are randomly used during the execution 2024-04-03T16:54:20.3152329Z >>> stats = bench.benchmark( 2024-04-03T16:54:20.3152710Z ... num_calling_threads=4, 2024-04-03T16:54:20.3153078Z ... num_warmup_iters = 100, 2024-04-03T16:54:20.3153456Z ... num_iters = 1000, 2024-04-03T16:54:20.3153780Z ... ) 2024-04-03T16:54:20.3154151Z >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms)) 2024-04-03T16:54:20.3154779Z >>> print("Number of iterations: {}".format(stats.num_iters)) 2024-04-03T16:54:20.3155166Z 2024-04-03T16:54:20.3155561Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:20.3156039Z 2024-04-03T16:54:20.3874627Z msg = Cannot scrape callname=DistributedSampler in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/distributed.py line=14. 2024-04-03T16:54:20.3875945Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:20.3876705Z Sampler that restricts data loading to a subset of the dataset. 2024-04-03T16:54:20.3877160Z 2024-04-03T16:54:20.3877347Z It is especially useful in conjunction with 2024-04-03T16:54:20.3878012Z :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each 2024-04-03T16:54:20.3878865Z process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a 2024-04-03T16:54:20.3879700Z :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the 2024-04-03T16:54:20.3880333Z original dataset that is exclusive to it. 2024-04-03T16:54:20.3880646Z 2024-04-03T16:54:20.3880754Z .. note:: 2024-04-03T16:54:20.3881255Z Dataset is assumed to be of constant size and that any instance of it always 2024-04-03T16:54:20.3881929Z returns the same elements in the same order. 2024-04-03T16:54:20.3882262Z 2024-04-03T16:54:20.3882357Z Args: 2024-04-03T16:54:20.3882650Z dataset: Dataset used for sampling. 2024-04-03T16:54:20.3883233Z num_replicas (int, optional): Number of processes participating in 2024-04-03T16:54:20.3883991Z distributed training. By default, :attr:`world_size` is retrieved from the 2024-04-03T16:54:20.3884610Z current distributed group. 2024-04-03T16:54:20.3885347Z rank (int, optional): Rank of the current process within :attr:`num_replicas`. 2024-04-03T16:54:20.3886183Z By default, :attr:`rank` is retrieved from the current distributed 2024-04-03T16:54:20.3886703Z group. 2024-04-03T16:54:20.3887180Z shuffle (bool, optional): If ``True`` (default), sampler will shuffle the 2024-04-03T16:54:20.3887751Z indices. 2024-04-03T16:54:20.3888197Z seed (int, optional): random seed used to shuffle the sampler if 2024-04-03T16:54:20.3888893Z :attr:`shuffle=True`. This number should be identical across all 2024-04-03T16:54:20.3889543Z processes in the distributed group. Default: ``0``. 2024-04-03T16:54:20.3890196Z drop_last (bool, optional): if ``True``, then the sampler will drop the 2024-04-03T16:54:20.3890988Z tail of the data to make it evenly divisible across the number of 2024-04-03T16:54:20.3891707Z replicas. If ``False``, the sampler will add extra indices to make 2024-04-03T16:54:20.3892417Z the data evenly divisible across the replicas. Default: ``False``. 2024-04-03T16:54:20.3892875Z 2024-04-03T16:54:20.3892979Z .. warning:: 2024-04-03T16:54:20.3893408Z In distributed mode, calling the :meth:`set_epoch` method at 2024-04-03T16:54:20.3894365Z the beginning of each epoch **before** creating the :class:`DataLoader` iterator 2024-04-03T16:54:20.3895279Z is necessary to make shuffling work properly across multiple epochs. Otherwise, 2024-04-03T16:54:20.3895957Z the same ordering will be always used. 2024-04-03T16:54:20.3896269Z 2024-04-03T16:54:20.3896384Z Example:: 2024-04-03T16:54:20.3896544Z 2024-04-03T16:54:20.3896660Z >>> # xdoctest: +SKIP 2024-04-03T16:54:20.3897188Z >>> sampler = DistributedSampler(dataset) if is_distributed else None 2024-04-03T16:54:20.3897867Z >>> loader = DataLoader(dataset, shuffle=(sampler is None), 2024-04-03T16:54:20.3898393Z ... sampler=sampler) 2024-04-03T16:54:20.3898884Z >>> for epoch in range(start_epoch, n_epochs): 2024-04-03T16:54:20.3899343Z ... if is_distributed: 2024-04-03T16:54:20.3899733Z ... sampler.set_epoch(epoch) 2024-04-03T16:54:20.3900141Z ... train(loader) 2024-04-03T16:54:20.3900462Z 2024-04-03T16:54:20.3900988Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:20.3901483Z 2024-04-03T16:54:20.3985139Z msg = Cannot scrape callname=collate in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py line=109. 2024-04-03T16:54:20.3986396Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-04-03T16:54:20.3986897Z 2024-04-03T16:54:20.3987271Z General collate function that handles collection type of element within each batch. 2024-04-03T16:54:20.3987797Z 2024-04-03T16:54:20.3988275Z The function also opens function registry to deal with specific element types. `default_collate_fn_map` 2024-04-03T16:54:20.3989255Z provides default collate functions for tensors, numpy arrays, numbers and strings. 2024-04-03T16:54:20.3989784Z 2024-04-03T16:54:20.3989873Z Args: 2024-04-03T16:54:20.3990153Z batch: a single batch to be collated 2024-04-03T16:54:20.3990897Z collate_fn_map: Optional dictionary mapping from element type to the corresponding collate function. 2024-04-03T16:54:20.3991790Z If the element type isn't present in this dictionary, 2024-04-03T16:54:20.3992531Z this function will go through each key of the dictionary in the insertion order to 2024-04-03T16:54:20.3993446Z invoke the corresponding collate function if the element type is a subclass of the key. 2024-04-03T16:54:20.3994017Z 2024-04-03T16:54:20.3994112Z Examples: 2024-04-03T16:54:20.3994453Z >>> def collate_tensor_fn(batch, *, collate_fn_map): 2024-04-03T16:54:20.3994978Z >>> # Extend this function to handle batch of tensors 2024-04-03T16:54:20.3995470Z ... return torch.stack(batch, 0) 2024-04-03T16:54:20.3995987Z >>> def custom_collate(batch): 2024-04-03T16:54:20.3996501Z ... collate_map = {torch.Tensor: collate_tensor_fn} 2024-04-03T16:54:20.3997048Z ... return collate(batch, collate_fn_map=collate_map) 2024-04-03T16:54:20.3997785Z >>> # Extend `default_collate` by in-place modifying `default_collate_fn_map` 2024-04-03T16:54:20.3998528Z >>> default_collate_fn_map.update({torch.Tensor: collate_tensor_fn}) 2024-04-03T16:54:20.3998954Z 2024-04-03T16:54:20.3999043Z Note: 2024-04-03T16:54:20.3999565Z Each collate function requires a positional argument for batch and a keyword argument 2024-04-03T16:54:20.4000359Z for the dictionary of collate functions as `collate_fn_map`. 2024-04-03T16:54:20.4000820Z 2024-04-03T16:54:20.4001610Z Original Error: IndentationError('expected an indented block after function definition on line 1', ('', 2, 1, '_._ = None\n', 2, 2)) 2024-04-03T16:54:20.4002456Z 2024-04-03T16:54:20.4002554Z _._ = None 2024-04-03T16:54:20.4002803Z ^ 2024-04-03T16:54:20.5830091Z gathering tests 2024-04-03T16:54:20.5843184Z running 669 test(s) 2024-04-03T16:54:20.5891239Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0, line 622 <- wrt source file 2024-04-03T16:54:20.5900523Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0 2024-04-03T16:54:20.5903079Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0, line 688 <- wrt source file 2024-04-03T16:54:20.5905165Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0 2024-04-03T16:54:20.5907579Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0, line 736 <- wrt source file 2024-04-03T16:54:20.5910417Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0 2024-04-03T16:54:20.5913092Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0, line 774 <- wrt source file 2024-04-03T16:54:20.5914765Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0 2024-04-03T16:54:20.5916410Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 924 <- wrt source file 2024-04-03T16:54:20.5918082Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2024-04-03T16:54:20.5919670Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::compile:0, line 1863 <- wrt source file 2024-04-03T16:54:20.5921078Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::compile:0 2024-04-03T16:54:20.5922699Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_C.cpython-312-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2024-04-03T16:54:20.5924471Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_C.cpython-312-x86_64-linux-gnu.so::Generator:0 2024-04-03T16:54:20.5926272Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_C.cpython-312-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2024-04-03T16:54:20.5928041Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_C.cpython-312-x86_64-linux-gnu.so::_LinAlgError:0 2024-04-03T16:54:20.5929679Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0, line 53 <- wrt source file 2024-04-03T16:54:20.5931164Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0 2024-04-03T16:54:20.5932760Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0, line 135 <- wrt source file 2024-04-03T16:54:20.5934333Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0 2024-04-03T16:54:20.5935849Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0, line 204 <- wrt source file 2024-04-03T16:54:20.6208979Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0 2024-04-03T16:54:20.6210667Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0, line 116 <- wrt source file 2024-04-03T16:54:20.6212510Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0 2024-04-03T16:54:20.6214256Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 558 <- wrt source file 2024-04-03T16:54:20.9150722Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0 2024-04-03T16:54:20.9152708Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 612 <- wrt source file 2024-04-03T16:54:20.9165401Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2024-04-03T16:54:20.9167121Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1231 <- wrt source file 2024-04-03T16:54:20.9281596Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0 2024-04-03T16:54:20.9285320Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1276 <- wrt source file 2024-04-03T16:54:20.9290112Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0 2024-04-03T16:54:20.9291636Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0, line 1349 <- wrt source file 2024-04-03T16:54:20.9297982Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0 2024-04-03T16:54:20.9299537Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1379 <- wrt source file 2024-04-03T16:54:20.9303880Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2024-04-03T16:54:20.9305455Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1402 <- wrt source file 2024-04-03T16:54:20.9308486Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.dim_order:0 2024-04-03T16:54:20.9310044Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0, line 52 <- wrt source file 2024-04-03T16:54:20.9331528Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0 2024-04-03T16:54:20.9333116Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0, line 63 <- wrt source file 2024-04-03T16:54:20.9339022Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0 2024-04-03T16:54:20.9340906Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0, line 91 <- wrt source file 2024-04-03T16:54:20.9343015Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0 2024-04-03T16:54:20.9344554Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::split:0, line 167 <- wrt source file 2024-04-03T16:54:20.9354161Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::split:0 2024-04-03T16:54:20.9355628Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::einsum:0, line 275 <- wrt source file 2024-04-03T16:54:20.9405504Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::einsum:0 2024-04-03T16:54:20.9407225Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 953 <- wrt source file 2024-04-03T16:54:20.9417283Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0 2024-04-03T16:54:20.9418893Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::tensordot:0, line 1151 <- wrt source file 2024-04-03T16:54:20.9427823Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::tensordot:0 2024-04-03T16:54:20.9429365Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0, line 1231 <- wrt source file 2024-04-03T16:54:20.9434853Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0 2024-04-03T16:54:20.9436407Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::block_diag:0, line 1265 <- wrt source file 2024-04-03T16:54:20.9443840Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::block_diag:0 2024-04-03T16:54:20.9445468Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::cdist:0, line 1316 <- wrt source file 2024-04-03T16:54:20.9457525Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::cdist:0 2024-04-03T16:54:20.9459023Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0, line 1356 <- wrt source file 2024-04-03T16:54:20.9473803Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0 2024-04-03T16:54:20.9475326Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0, line 1392 <- wrt source file 2024-04-03T16:54:20.9490244Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0 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source file 2024-04-03T16:54:20.9575154Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0 2024-04-03T16:54:20.9577196Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0, line 1901 <- wrt source file 2024-04-03T16:54:20.9578768Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0 2024-04-03T16:54:20.9580187Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::list:0, line 422 <- wrt source file 2024-04-03T16:54:20.9581608Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::list:0 2024-04-03T16:54:20.9583151Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::help:0, line 472 <- wrt source file 2024-04-03T16:54:20.9584491Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::help:0 2024-04-03T16:54:20.9585853Z * DOCTEST : 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/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::impl:0, line 316 <- wrt source file 2024-04-03T16:54:20.9617950Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::impl:0 2024-04-03T16:54:20.9619462Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0, line 98 <- wrt source file 2024-04-03T16:54:20.9625573Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0 2024-04-03T16:54:20.9627207Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0, line 401 <- wrt source file 2024-04-03T16:54:20.9660736Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0 2024-04-03T16:54:20.9662740Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0, line 1483 <- wrt source file 2024-04-03T16:54:20.9664857Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0 2024-04-03T16:54:20.9667002Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0, line 1606 <- wrt source file 2024-04-03T16:54:20.9668614Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0 2024-04-03T16:54:20.9670364Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1833 <- wrt source file 2024-04-03T16:54:20.9709048Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2024-04-03T16:54:20.9710686Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0, line 1851 <- wrt source file 2024-04-03T16:54:20.9716038Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0 2024-04-03T16:54:20.9717690Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0, line 37 <- wrt source file 2024-04-03T16:54:20.9719273Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0 2024-04-03T16:54:20.9721416Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::register_package:0, line 153 <- wrt source file 2024-04-03T16:54:20.9723049Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::register_package:0 2024-04-03T16:54:20.9725778Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::save:0, line 614 <- wrt source file 2024-04-03T16:54:20.9727240Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::save:0 2024-04-03T16:54:20.9728731Z * DOCTEST : 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source file 2024-04-03T16:54:20.9770811Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0 2024-04-03T16:54:20.9772561Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1735 <- wrt source file 2024-04-03T16:54:20.9775575Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2024-04-03T16:54:20.9777916Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 138 <- wrt source file 2024-04-03T16:54:20.9779993Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2024-04-03T16:54:20.9781887Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::save:0, line 214 <- wrt source file 2024-04-03T16:54:20.9784363Z * SKIPPED: 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/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2024-04-03T16:54:21.1604621Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 521 <- wrt source file 2024-04-03T16:54:21.1647470Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2024-04-03T16:54:21.1650451Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_op/impl.py::custom_op:0, line 81 <- wrt source file 2024-04-03T16:54:21.1653229Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_op/impl.py::custom_op:0 2024-04-03T16:54:21.1666449Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_op/impl.py::CustomOp.impl:0, line 279 <- wrt source file 2024-04-03T16:54:21.1669498Z * SKIPPED: 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/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2024-04-03T16:54:21.2186010Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/apis.py::grad:0, line 288 <- wrt source file 2024-04-03T16:54:21.2188487Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/apis.py::grad:0 2024-04-03T16:54:21.2191588Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 157 <- wrt source file 2024-04-03T16:54:21.2195072Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2024-04-03T16:54:21.2198670Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 241 <- wrt source file 2024-04-03T16:54:21.2228288Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2024-04-03T16:54:21.2231272Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 462 <- wrt source file 2024-04-03T16:54:21.3113285Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2024-04-03T16:54:21.3116367Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 966 <- wrt source file 2024-04-03T16:54:21.4036256Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2024-04-03T16:54:21.4039051Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1102 <- wrt source file 2024-04-03T16:54:21.4097592Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2024-04-03T16:54:21.4100893Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1260 <- wrt source file 2024-04-03T16:54:21.4117379Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2024-04-03T16:54:21.4121019Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1404 <- wrt source file 2024-04-03T16:54:21.4124179Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2024-04-03T16:54:21.4127712Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1593 <- wrt source file 2024-04-03T16:54:21.4276674Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2024-04-03T16:54:21.4279883Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 35 <- wrt source file 2024-04-03T16:54:21.4283144Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0 2024-04-03T16:54:21.4286291Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 167 <- wrt source file 2024-04-03T16:54:21.4289218Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2024-04-03T16:54:21.4291915Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 73 <- wrt source file 2024-04-03T16:54:21.4294442Z * SKIPPED: 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/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0 2024-04-03T16:54:21.4360265Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 169 <- wrt source file 2024-04-03T16:54:21.4395874Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2024-04-03T16:54:21.4397662Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 304 <- wrt source file 2024-04-03T16:54:21.4399394Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2024-04-03T16:54:21.4401112Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 995 <- wrt source file 2024-04-03T16:54:21.4450167Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2024-04-03T16:54:21.4452012Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1060 <- wrt source file 2024-04-03T16:54:21.4453745Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2024-04-03T16:54:21.4455552Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1281 <- wrt source file 2024-04-03T16:54:21.4468976Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2024-04-03T16:54:21.4470886Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1347 <- wrt source file 2024-04-03T16:54:21.4473293Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2024-04-03T16:54:21.4475177Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1410 <- wrt source file 2024-04-03T16:54:21.4477275Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2024-04-03T16:54:21.4478984Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1455 <- wrt source file 2024-04-03T16:54:21.4480586Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2024-04-03T16:54:21.4482556Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1565 <- wrt source file 2024-04-03T16:54:21.4484726Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2024-04-03T16:54:21.4487019Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 87 <- wrt source file 2024-04-03T16:54:21.4488976Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0 2024-04-03T16:54:21.4491023Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 59 <- wrt source file 2024-04-03T16:54:21.4492610Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2024-04-03T16:54:21.4494515Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 21 <- wrt source file 2024-04-03T16:54:21.4496444Z * SKIPPED: 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/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 59 <- wrt source file 2024-04-03T16:54:21.4509564Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2024-04-03T16:54:21.4511935Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 126 <- wrt source file 2024-04-03T16:54:21.4514027Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2024-04-03T16:54:21.4515974Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 24 <- wrt source file 2024-04-03T16:54:21.4517736Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2024-04-03T16:54:21.4519487Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 276 <- wrt source file 2024-04-03T16:54:21.4541961Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2024-04-03T16:54:21.4544712Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 166 <- wrt source file 2024-04-03T16:54:21.4546859Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2024-04-03T16:54:21.4548573Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 226 <- wrt source file 2024-04-03T16:54:21.4550247Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2024-04-03T16:54:21.4552166Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 287 <- wrt source file 2024-04-03T16:54:21.4553842Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2024-04-03T16:54:21.4555748Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 74 <- wrt source file 2024-04-03T16:54:21.4558240Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2024-04-03T16:54:21.4560644Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 114 <- wrt source file 2024-04-03T16:54:21.4562997Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2024-04-03T16:54:21.4565430Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 33 <- wrt source file 2024-04-03T16:54:21.4567661Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2024-04-03T16:54:21.4569611Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 104 <- wrt source file 2024-04-03T16:54:21.4572086Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2024-04-03T16:54:21.4574431Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 169 <- wrt source file 2024-04-03T16:54:21.4576641Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2024-04-03T16:54:21.4578667Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 235 <- wrt source file 2024-04-03T16:54:21.4580718Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2024-04-03T16:54:21.4584731Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 296 <- wrt source file 2024-04-03T16:54:21.4589043Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2024-04-03T16:54:21.4593278Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 357 <- wrt source file 2024-04-03T16:54:21.4597496Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2024-04-03T16:54:21.4601654Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 28 <- wrt source file 2024-04-03T16:54:21.4605112Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2024-04-03T16:54:21.4608541Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 387 <- wrt source file 2024-04-03T16:54:21.4611828Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2024-04-03T16:54:21.4615229Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 634 <- wrt source file 2024-04-03T16:54:21.4618555Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2024-04-03T16:54:21.4621922Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 970 <- wrt source file 2024-04-03T16:54:21.4625402Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2024-04-03T16:54:21.4628859Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1023 <- wrt source file 2024-04-03T16:54:21.4632268Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2024-04-03T16:54:21.4635729Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1066 <- wrt source file 2024-04-03T16:54:21.4639127Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2024-04-03T16:54:21.4642583Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 31 <- wrt source file 2024-04-03T16:54:21.4645997Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2024-04-03T16:54:21.4649269Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 404 <- wrt source file 2024-04-03T16:54:21.4652393Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2024-04-03T16:54:21.4655691Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 505 <- wrt source file 2024-04-03T16:54:21.4658811Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2024-04-03T16:54:21.4662207Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 690 <- wrt source file 2024-04-03T16:54:21.4665618Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2024-04-03T16:54:21.4669078Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 780 <- wrt source file 2024-04-03T16:54:21.4672465Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2024-04-03T16:54:21.4675895Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 874 <- wrt source file 2024-04-03T16:54:21.4679263Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2024-04-03T16:54:21.4682731Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 84 <- wrt source file 2024-04-03T16:54:21.4686206Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2024-04-03T16:54:21.4689833Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 209 <- wrt source file 2024-04-03T16:54:21.4693410Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2024-04-03T16:54:21.4697154Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 21 <- wrt source file 2024-04-03T16:54:21.4700942Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2024-04-03T16:54:21.4704848Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 152 <- wrt source file 2024-04-03T16:54:21.4708530Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2024-04-03T16:54:21.4712243Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 117 <- wrt source file 2024-04-03T16:54:21.4715429Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2024-04-03T16:54:21.4719294Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0, line 59 <- wrt source file 2024-04-03T16:54:21.4723703Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0 2024-04-03T16:54:21.4728092Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 92 <- wrt source file 2024-04-03T16:54:21.4732483Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2024-04-03T16:54:21.4736878Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 53 <- wrt source file 2024-04-03T16:54:21.4740954Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2024-04-03T16:54:21.4744855Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 19 <- wrt source file 2024-04-03T16:54:21.4748382Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2024-04-03T16:54:21.4751897Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2024-04-03T16:54:21.4755461Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2024-04-03T16:54:21.4758877Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 144 <- wrt source file 2024-04-03T16:54:21.4762072Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2024-04-03T16:54:21.4765402Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 28 <- wrt source file 2024-04-03T16:54:21.4768815Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2024-04-03T16:54:21.4772296Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 67 <- wrt source file 2024-04-03T16:54:21.4775890Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2024-04-03T16:54:21.4779411Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 115 <- wrt source file 2024-04-03T16:54:21.4782976Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2024-04-03T16:54:21.4786606Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 144 <- wrt source file 2024-04-03T16:54:21.4790213Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2024-04-03T16:54:21.4793560Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 85 <- wrt source file 2024-04-03T16:54:21.4796683Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0 2024-04-03T16:54:21.4799929Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 106 <- wrt source file 2024-04-03T16:54:21.4803247Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2024-04-03T16:54:21.4806470Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 216 <- wrt source file 2024-04-03T16:54:21.4809529Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2024-04-03T16:54:21.4812736Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 276 <- wrt source file 2024-04-03T16:54:21.4815950Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2024-04-03T16:54:21.4819176Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 414 <- wrt source file 2024-04-03T16:54:21.4822569Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2024-04-03T16:54:21.4825880Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 579 <- wrt source file 2024-04-03T16:54:21.4829065Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2024-04-03T16:54:21.4832399Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 638 <- wrt source file 2024-04-03T16:54:21.4835854Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2024-04-03T16:54:21.4839496Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 689 <- wrt source file 2024-04-03T16:54:21.4843217Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2024-04-03T16:54:21.4846723Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 56 <- wrt source file 2024-04-03T16:54:21.4849998Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2024-04-03T16:54:21.4853373Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 129 <- wrt source file 2024-04-03T16:54:21.4856806Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2024-04-03T16:54:21.4860162Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 217 <- wrt source file 2024-04-03T16:54:21.4863503Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2024-04-03T16:54:21.4866784Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 435 <- wrt source file 2024-04-03T16:54:21.4870004Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2024-04-03T16:54:21.4873364Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 456 <- wrt source file 2024-04-03T16:54:21.4876706Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2024-04-03T16:54:21.4880018Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 469 <- wrt source file 2024-04-03T16:54:21.4883250Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2024-04-03T16:54:21.4886607Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 490 <- wrt source file 2024-04-03T16:54:21.4889729Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2024-04-03T16:54:21.4892964Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 609 <- wrt source file 2024-04-03T16:54:21.4896210Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2024-04-03T16:54:21.4899829Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 82 <- wrt source file 2024-04-03T16:54:21.4903669Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2024-04-03T16:54:21.4907460Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 79 <- wrt source file 2024-04-03T16:54:21.4911110Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2024-04-03T16:54:21.4914884Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 159 <- wrt source file 2024-04-03T16:54:21.4918682Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2024-04-03T16:54:21.4922494Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 374 <- wrt source file 2024-04-03T16:54:21.4926347Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2024-04-03T16:54:21.4929859Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 24 <- wrt source file 2024-04-03T16:54:21.4932985Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2024-04-03T16:54:21.4936360Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 81 <- wrt source file 2024-04-03T16:54:21.4939308Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::make_dual:0 2024-04-03T16:54:21.4942547Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 153 <- wrt source file 2024-04-03T16:54:21.4945568Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2024-04-03T16:54:21.4948751Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 189 <- wrt source file 2024-04-03T16:54:21.4951760Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::dual_level:0 2024-04-03T16:54:21.4954941Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 63 <- wrt source file 2024-04-03T16:54:21.4958360Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2024-04-03T16:54:21.4961744Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 105 <- wrt source file 2024-04-03T16:54:21.4965201Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2024-04-03T16:54:21.4968537Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 156 <- wrt source file 2024-04-03T16:54:21.4971736Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2024-04-03T16:54:21.4975300Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 201 <- wrt source file 2024-04-03T16:54:21.4978825Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2024-04-03T16:54:21.4982469Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 229 <- wrt source file 2024-04-03T16:54:21.4985973Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2024-04-03T16:54:21.4989202Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::Function:0, line 472 <- wrt source file 2024-04-03T16:54:21.4992064Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::Function:0 2024-04-03T16:54:21.4994936Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::vjp:0, line 291 <- wrt source file 2024-04-03T16:54:21.4997727Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::vjp:0 2024-04-03T16:54:21.5000578Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::jvp:0, line 393 <- wrt source file 2024-04-03T16:54:21.5003379Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::jvp:0 2024-04-03T16:54:21.5006264Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::jacobian:0, line 628 <- wrt source file 2024-04-03T16:54:21.5009178Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::jacobian:0 2024-04-03T16:54:21.5012148Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::hessian:0, line 882 <- wrt source file 2024-04-03T16:54:21.5015101Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::hessian:0 2024-04-03T16:54:21.5018010Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::vhp:0, line 998 <- wrt source file 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/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0 2024-04-03T16:54:21.5060945Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 95 <- wrt source file 2024-04-03T16:54:21.5064542Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0 2024-04-03T16:54:21.5067799Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 132 <- wrt source file 2024-04-03T16:54:21.5070930Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2024-04-03T16:54:21.5074012Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 239 <- wrt source file 2024-04-03T16:54:21.5077025Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2024-04-03T16:54:21.5080000Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 304 <- wrt source file 2024-04-03T16:54:21.5082837Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::save_on_cpu:0 2024-04-03T16:54:21.5085904Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 362 <- wrt source file 2024-04-03T16:54:21.5089091Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2024-04-03T16:54:21.5092304Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 439 <- wrt source file 2024-04-03T16:54:21.5095567Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2024-04-03T16:54:21.5098919Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 683 <- wrt source file 2024-04-03T16:54:21.5102387Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2024-04-03T16:54:21.5105530Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::profile:0, line 155 <- wrt source file 2024-04-03T16:54:21.5108415Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::profile:0 2024-04-03T16:54:21.5111387Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::record_function:0, line 568 <- wrt source file 2024-04-03T16:54:21.5114514Z * SKIPPED: 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2024-04-03T16:54:21.5135008Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 123 <- wrt source file 2024-04-03T16:54:21.5137888Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2024-04-03T16:54:21.5140823Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 136 <- wrt source file 2024-04-03T16:54:21.5143808Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2024-04-03T16:54:21.5146877Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 169 <- wrt source file 2024-04-03T16:54:21.5150075Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2024-04-03T16:54:21.5153272Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 192 <- wrt source file 2024-04-03T16:54:21.5156384Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2024-04-03T16:54:21.5159626Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh.__getitem__:0, line 375 <- wrt source file 2024-04-03T16:54:21.5162970Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh.__getitem__:0 2024-04-03T16:54:21.5166395Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 475 <- wrt source file 2024-04-03T16:54:21.5169828Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2024-04-03T16:54:21.5173241Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 536 <- wrt source file 2024-04-03T16:54:21.5176558Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2024-04-03T16:54:21.5179923Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 1975 <- wrt source file 2024-04-03T16:54:21.5183466Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0 2024-04-03T16:54:21.5186869Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0, line 2065 <- wrt source file 2024-04-03T16:54:21.5190314Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0 2024-04-03T16:54:21.5193647Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0, line 2173 <- wrt source file 2024-04-03T16:54:21.5196851Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0 2024-04-03T16:54:21.5200217Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 2412 <- wrt source file 2024-04-03T16:54:21.5203560Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0 2024-04-03T16:54:21.5207003Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 2618 <- wrt source file 2024-04-03T16:54:21.5210468Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0 2024-04-03T16:54:21.5213966Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 2723 <- wrt source file 2024-04-03T16:54:21.5217428Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2024-04-03T16:54:21.5220766Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 2810 <- wrt source file 2024-04-03T16:54:21.5224059Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2024-04-03T16:54:21.5227409Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 2893 <- wrt source file 2024-04-03T16:54:21.5230863Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2024-04-03T16:54:21.5234342Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 3012 <- wrt source file 2024-04-03T16:54:21.5237771Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0 2024-04-03T16:54:21.5241101Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter:0, line 3171 <- wrt source file 2024-04-03T16:54:21.5244209Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter:0 2024-04-03T16:54:21.5247600Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0, line 3309 <- wrt source file 2024-04-03T16:54:21.5251141Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0 2024-04-03T16:54:21.5254602Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0, line 3436 <- wrt source file 2024-04-03T16:54:21.5257951Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0 2024-04-03T16:54:21.5261272Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0, line 3553 <- wrt source file 2024-04-03T16:54:21.5264659Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0 2024-04-03T16:54:21.5268005Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 3732 <- wrt source file 2024-04-03T16:54:21.5271356Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0 2024-04-03T16:54:21.5274767Z * DOCTEST : 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/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 160 <- wrt source file 2024-04-03T16:54:21.5611579Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::_wait_all:0 2024-04-03T16:54:21.5614583Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 333 <- wrt source file 2024-04-03T16:54:21.5617502Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::shutdown:0 2024-04-03T16:54:21.5620414Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::remote:0, line 586 <- wrt source file 2024-04-03T16:54:21.5623374Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::remote:0 2024-04-03T16:54:21.5626296Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_sync:0, line 770 <- wrt source file 2024-04-03T16:54:21.5629187Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_sync:0 2024-04-03T16:54:21.5632151Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 862 <- wrt source file 2024-04-03T16:54:21.5635205Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_async:0 2024-04-03T16:54:21.5638718Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0, line 58 <- wrt source file 2024-04-03T16:54:21.5642740Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0 2024-04-03T16:54:21.5646509Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 57 <- wrt source file 2024-04-03T16:54:21.5649988Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0 2024-04-03T16:54:21.5653588Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 80 <- wrt source file 2024-04-03T16:54:21.5657253Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0 2024-04-03T16:54:21.5660787Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0, line 52 <- wrt source file 2024-04-03T16:54:21.5664345Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0 2024-04-03T16:54:21.5667812Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 53 <- wrt source file 2024-04-03T16:54:21.5671301Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0 2024-04-03T16:54:21.5674844Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 163 <- wrt source file 2024-04-03T16:54:21.5678331Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2024-04-03T16:54:21.5681859Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 271 <- wrt source file 2024-04-03T16:54:21.5685377Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2024-04-03T16:54:21.5688703Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 27 <- wrt source file 2024-04-03T16:54:21.5691729Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2024-04-03T16:54:21.5694692Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0, line 17 <- wrt source file 2024-04-03T16:54:21.5697435Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0 2024-04-03T16:54:21.5700351Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0, line 26 <- wrt source file 2024-04-03T16:54:21.5703414Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0 2024-04-03T16:54:21.5706497Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0, line 38 <- wrt source file 2024-04-03T16:54:21.5709641Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0 2024-04-03T16:54:21.5712801Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 20 <- wrt source file 2024-04-03T16:54:21.5715727Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0 2024-04-03T16:54:21.5718599Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0, line 13 <- wrt source file 2024-04-03T16:54:21.5721382Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0 2024-04-03T16:54:21.5724483Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 157 <- wrt source file 2024-04-03T16:54:21.5727880Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2024-04-03T16:54:21.5731355Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 31 <- wrt source file 2024-04-03T16:54:21.5735052Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2024-04-03T16:54:21.5738451Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 36 <- wrt source file 2024-04-03T16:54:21.5741496Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2024-04-03T16:54:21.5744726Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0, line 16 <- wrt source file 2024-04-03T16:54:21.5747891Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0 2024-04-03T16:54:21.5751195Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 18 <- wrt source file 2024-04-03T16:54:21.5754539Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2024-04-03T16:54:21.5757639Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0, line 20 <- wrt source file 2024-04-03T16:54:21.5760465Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0 2024-04-03T16:54:21.5763443Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0, line 32 <- wrt source file 2024-04-03T16:54:21.5766497Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0 2024-04-03T16:54:21.5769466Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 19 <- wrt source file 2024-04-03T16:54:21.5772350Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0 2024-04-03T16:54:21.5775448Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 21 <- wrt source file 2024-04-03T16:54:21.5778542Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2024-04-03T16:54:21.5781651Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 21 <- wrt source file 2024-04-03T16:54:21.5784875Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2024-04-03T16:54:21.5788098Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0, line 20 <- wrt source file 2024-04-03T16:54:21.5791340Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0 2024-04-03T16:54:21.5794548Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 20 <- wrt source file 2024-04-03T16:54:21.5797822Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2024-04-03T16:54:21.5801046Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 26 <- wrt source file 2024-04-03T16:54:21.5804261Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2024-04-03T16:54:21.5807308Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0, line 16 <- wrt source file 2024-04-03T16:54:21.5810248Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0 2024-04-03T16:54:21.5813376Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 39 <- wrt source file 2024-04-03T16:54:21.5816590Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2024-04-03T16:54:21.5819693Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 18 <- wrt source file 2024-04-03T16:54:21.5822794Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0 2024-04-03T16:54:21.5825977Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 23 <- wrt source file 2024-04-03T16:54:21.5829276Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2024-04-03T16:54:21.5832862Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 58 <- wrt source file 2024-04-03T16:54:21.5836685Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2024-04-03T16:54:21.5840211Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 34 <- wrt source file 2024-04-03T16:54:21.5843350Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0 2024-04-03T16:54:21.5846726Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 98 <- wrt source file 2024-04-03T16:54:21.5850278Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2024-04-03T16:54:21.5853507Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0, line 18 <- wrt source file 2024-04-03T16:54:21.5856441Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0 2024-04-03T16:54:21.5859647Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 28 <- wrt source file 2024-04-03T16:54:21.5863292Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2024-04-03T16:54:21.5866581Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0, line 15 <- wrt source file 2024-04-03T16:54:21.5869465Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0 2024-04-03T16:54:21.5872416Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0, line 21 <- wrt source file 2024-04-03T16:54:21.5875337Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0 2024-04-03T16:54:21.5878409Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0, line 18 <- wrt source file 2024-04-03T16:54:21.5881377Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0 2024-04-03T16:54:21.5884482Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1031 <- wrt source file 2024-04-03T16:54:21.5887705Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0 2024-04-03T16:54:21.5890911Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1137 <- wrt source file 2024-04-03T16:54:21.5894208Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0 2024-04-03T16:54:21.5897695Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1211 <- wrt source file 2024-04-03T16:54:21.5905180Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2024-04-03T16:54:21.5911387Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0, line 18 <- wrt source file 2024-04-03T16:54:21.5914322Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0 2024-04-03T16:54:21.5917336Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0, line 113 <- wrt source file 2024-04-03T16:54:21.5920341Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0 2024-04-03T16:54:21.5923422Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0, line 17 <- wrt source file 2024-04-03T16:54:21.5926334Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0 2024-04-03T16:54:21.5929345Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0, line 38 <- wrt source file 2024-04-03T16:54:21.5932312Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0 2024-04-03T16:54:21.5935199Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/graph.py::_snake_case:0, line 80 <- wrt source file 2024-04-03T16:54:21.5937926Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/graph.py::_snake_case:0 2024-04-03T16:54:21.5940859Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 1477 <- wrt 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file 2024-04-03T16:54:21.6302002Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2024-04-03T16:54:21.6305606Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 122 <- wrt source file 2024-04-03T16:54:21.6309138Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2024-04-03T16:54:21.6312679Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 214 <- wrt source file 2024-04-03T16:54:21.6316051Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2024-04-03T16:54:21.6319181Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0, line 1517 <- wrt source file 2024-04-03T16:54:21.6322020Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0 2024-04-03T16:54:21.6325139Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 22 <- wrt source file 2024-04-03T16:54:21.6328508Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2024-04-03T16:54:21.6331963Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 461 <- wrt source file 2024-04-03T16:54:21.6335627Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2024-04-03T16:54:21.6339134Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 567 <- wrt source file 2024-04-03T16:54:21.6681116Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2024-04-03T16:54:21.6697545Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 1922 <- wrt source file 2024-04-03T16:54:21.6707804Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0 2024-04-03T16:54:21.6711164Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0, line 2206 <- wrt source file 2024-04-03T16:54:21.6716543Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0 2024-04-03T16:54:21.6719450Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0, line 2342 <- wrt source file 2024-04-03T16:54:21.6742824Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0 2024-04-03T16:54:21.6746077Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0, line 2689 <- wrt source file 2024-04-03T16:54:21.6760564Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0 2024-04-03T16:54:21.6763389Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0, line 2755 <- wrt source file 2024-04-03T16:54:21.6766693Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0 2024-04-03T16:54:21.6769713Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0, line 3075 <- wrt source file 2024-04-03T16:54:21.6776367Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0 2024-04-03T16:54:21.6779360Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3140 <- wrt source file 2024-04-03T16:54:21.6783647Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2024-04-03T16:54:21.6786861Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3217 <- wrt source file 2024-04-03T16:54:21.6790936Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2024-04-03T16:54:21.6794032Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::pad:0, line 4510 <- wrt source file 2024-04-03T16:54:21.6801259Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::pad:0 2024-04-03T16:54:21.6804154Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0, line 23 <- wrt source file 2024-04-03T16:54:21.6809031Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0 2024-04-03T16:54:21.6811919Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0, line 52 <- wrt source file 2024-04-03T16:54:21.6814905Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0 2024-04-03T16:54:21.6817828Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0, line 85 <- wrt source file 2024-04-03T16:54:21.6821571Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0 2024-04-03T16:54:21.6824634Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0, line 114 <- wrt source file 2024-04-03T16:54:21.6827551Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0 2024-04-03T16:54:21.6830457Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0, line 147 <- wrt source file 2024-04-03T16:54:21.6859424Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0 2024-04-03T16:54:21.6863073Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0, line 176 <- wrt source file 2024-04-03T16:54:21.6882230Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0 2024-04-03T16:54:21.6885454Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::calculate_gain:0, line 98 <- wrt source file 2024-04-03T16:54:21.6888098Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::calculate_gain:0 2024-04-03T16:54:21.6891117Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0, line 141 <- wrt source file 2024-04-03T16:54:21.6893626Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0 2024-04-03T16:54:21.6896342Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::normal_:0, line 168 <- wrt source file 2024-04-03T16:54:21.6899093Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::normal_:0 2024-04-03T16:54:21.6902677Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0, line 202 <- wrt source file 2024-04-03T16:54:21.6905669Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0 2024-04-03T16:54:21.6908287Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::constant_:0, line 216 <- wrt source file 2024-04-03T16:54:21.6910978Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::constant_:0 2024-04-03T16:54:21.6913582Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::ones_:0, line 231 <- wrt source file 2024-04-03T16:54:21.6916158Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::ones_:0 2024-04-03T16:54:21.6918872Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0, line 244 <- wrt source file 2024-04-03T16:54:21.6921262Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0 2024-04-03T16:54:21.6923751Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::eye_:0, line 260 <- wrt source file 2024-04-03T16:54:21.6926490Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::eye_:0 2024-04-03T16:54:21.6928964Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0, line 282 <- wrt source file 2024-04-03T16:54:21.6931454Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0 2024-04-03T16:54:21.6934265Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0, line 355 <- wrt source file 2024-04-03T16:54:21.6936935Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0 2024-04-03T16:54:21.6939762Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0, line 387 <- wrt source file 2024-04-03T16:54:21.6942475Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0 2024-04-03T16:54:21.6945260Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 438 <- wrt source file 2024-04-03T16:54:21.6947776Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0 2024-04-03T16:54:21.6950489Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0, line 494 <- wrt source file 2024-04-03T16:54:21.6953292Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0 2024-04-03T16:54:21.6955953Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0, line 525 <- wrt source file 2024-04-03T16:54:21.6958402Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0 2024-04-03T16:54:21.6961230Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0, line 578 <- wrt source file 2024-04-03T16:54:21.6963704Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0 2024-04-03T16:54:21.6966345Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 78 <- wrt source file 2024-04-03T16:54:21.6969317Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2024-04-03T16:54:21.6972261Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 90 <- wrt source file 2024-04-03T16:54:21.6975251Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0 2024-04-03T16:54:21.6978152Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0, line 40 <- wrt source file 2024-04-03T16:54:21.6981028Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0 2024-04-03T16:54:21.6984210Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0, line 82 <- wrt source file 2024-04-03T16:54:21.6987475Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0 2024-04-03T16:54:21.6990947Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0, line 141 <- wrt source file 2024-04-03T16:54:21.6994166Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0 2024-04-03T16:54:21.6997291Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 200 <- wrt source file 2024-04-03T16:54:21.7000853Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2024-04-03T16:54:21.7004113Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 257 <- wrt source file 2024-04-03T16:54:21.7007446Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0 2024-04-03T16:54:21.7010710Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 285 <- wrt source file 2024-04-03T16:54:21.7013727Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2024-04-03T16:54:21.7017377Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 317 <- wrt source file 2024-04-03T16:54:21.7020752Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2024-04-03T16:54:21.7024498Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0, line 350 <- wrt source file 2024-04-03T16:54:21.7027771Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0 2024-04-03T16:54:21.7031011Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0, line 382 <- wrt source file 2024-04-03T16:54:21.7034417Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0 2024-04-03T16:54:21.7037625Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0, line 420 <- wrt source file 2024-04-03T16:54:21.7041251Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0 2024-04-03T16:54:21.7044252Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 464 <- wrt source file 2024-04-03T16:54:21.7047203Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0 2024-04-03T16:54:21.7050658Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0, line 507 <- wrt source file 2024-04-03T16:54:21.7054168Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0 2024-04-03T16:54:21.7057557Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0, line 549 <- wrt source file 2024-04-03T16:54:21.7060813Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0 2024-04-03T16:54:21.7064279Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0, line 602 <- wrt source file 2024-04-03T16:54:21.7067673Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0 2024-04-03T16:54:21.7071133Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0, line 640 <- wrt source file 2024-04-03T16:54:21.7074645Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0 2024-04-03T16:54:21.7077790Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0, line 682 <- wrt source file 2024-04-03T16:54:21.7080733Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0 2024-04-03T16:54:21.7083348Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 725 <- wrt source file 2024-04-03T16:54:21.7086387Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2024-04-03T16:54:21.7089165Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 774 <- wrt source file 2024-04-03T16:54:21.7092183Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2024-04-03T16:54:21.7095564Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 810 <- wrt source file 2024-04-03T16:54:21.7099103Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2024-04-03T16:54:21.7102665Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0, line 843 <- wrt source file 2024-04-03T16:54:21.7106043Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0 2024-04-03T16:54:21.7109563Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 886 <- wrt source file 2024-04-03T16:54:21.7113223Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0 2024-04-03T16:54:21.7117506Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 979 <- wrt source file 2024-04-03T16:54:21.7121376Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2024-04-03T16:54:21.7125096Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1369 <- wrt source file 2024-04-03T16:54:21.7128033Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0 2024-04-03T16:54:21.7131218Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1410 <- wrt source file 2024-04-03T16:54:21.7135127Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0 2024-04-03T16:54:21.7137998Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1433 <- wrt source file 2024-04-03T16:54:21.7141166Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2024-04-03T16:54:21.7144496Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1468 <- wrt source file 2024-04-03T16:54:21.7147647Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0 2024-04-03T16:54:21.7150972Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1525 <- wrt source file 2024-04-03T16:54:21.7154192Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0 2024-04-03T16:54:21.7157417Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1566 <- wrt source file 2024-04-03T16:54:21.7160618Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2024-04-03T16:54:21.7163881Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1602 <- wrt source file 2024-04-03T16:54:21.7167117Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2024-04-03T16:54:21.7170382Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 299 <- wrt source file 2024-04-03T16:54:21.7173633Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2024-04-03T16:54:21.7176864Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 414 <- wrt source file 2024-04-03T16:54:21.7393506Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2024-04-03T16:54:21.7396610Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 525 <- wrt source file 2024-04-03T16:54:22.0075142Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2024-04-03T16:54:22.0191183Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 19 <- wrt source file 2024-04-03T16:54:22.0206890Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2024-04-03T16:54:22.0210069Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0, line 65 <- wrt source file 2024-04-03T16:54:22.0213089Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0 2024-04-03T16:54:22.0216399Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0, line 261 <- wrt source file 2024-04-03T16:54:22.0219419Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0 2024-04-03T16:54:22.0222664Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 433 <- wrt source file 2024-04-03T16:54:22.0225679Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0 2024-04-03T16:54:22.0228853Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0, line 562 <- wrt source file 2024-04-03T16:54:22.0231940Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0 2024-04-03T16:54:22.0235056Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 705 <- wrt source file 2024-04-03T16:54:22.0238131Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0 2024-04-03T16:54:22.0241402Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 36 <- wrt source file 2024-04-03T16:54:22.0244573Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2024-04-03T16:54:22.0247715Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 73 <- wrt source file 2024-04-03T16:54:22.0250835Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2024-04-03T16:54:22.0253849Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 49 <- wrt source file 2024-04-03T16:54:22.0256776Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0 2024-04-03T16:54:22.0259684Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 94 <- wrt source file 2024-04-03T16:54:22.0262686Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2024-04-03T16:54:22.0265847Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 146 <- wrt source file 2024-04-03T16:54:22.0269237Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2024-04-03T16:54:22.0272634Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 191 <- wrt source file 2024-04-03T16:54:22.0346540Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2024-04-03T16:54:22.0349985Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 234 <- wrt source file 2024-04-03T16:54:22.0352971Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2024-04-03T16:54:22.0356093Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 283 <- wrt source file 2024-04-03T16:54:22.0431197Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2024-04-03T16:54:22.0434885Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 26 <- wrt source file 2024-04-03T16:54:22.0438588Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0 2024-04-03T16:54:22.0441432Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0, line 109 <- wrt source file 2024-04-03T16:54:22.0446268Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0 2024-04-03T16:54:22.0449668Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0, line 252 <- wrt source file 2024-04-03T16:54:22.0464450Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0 2024-04-03T16:54:22.0467931Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 150 <- wrt source file 2024-04-03T16:54:22.0480459Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2024-04-03T16:54:22.0483786Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 266 <- wrt source file 2024-04-03T16:54:22.0678237Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2024-04-03T16:54:22.0681807Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 382 <- wrt source file 2024-04-03T16:54:22.3211316Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2024-04-03T16:54:22.3324627Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 78 <- wrt source file 2024-04-03T16:54:22.3327675Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2024-04-03T16:54:22.3330633Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0, line 33 <- wrt source file 2024-04-03T16:54:22.3333625Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0 2024-04-03T16:54:22.3336563Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0, line 79 <- wrt source file 2024-04-03T16:54:22.3342687Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0 2024-04-03T16:54:22.3345641Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 163 <- wrt source file 2024-04-03T16:54:22.3363745Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0 2024-04-03T16:54:22.3366629Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 88 <- wrt source file 2024-04-03T16:54:22.3371233Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0 2024-04-03T16:54:22.3374161Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 184 <- wrt source file 2024-04-03T16:54:22.3397719Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2024-04-03T16:54:22.3401057Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 271 <- wrt source file 2024-04-03T16:54:22.3404950Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2024-04-03T16:54:22.3407985Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 343 <- wrt source file 2024-04-03T16:54:22.3420530Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2024-04-03T16:54:22.3423651Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 450 <- wrt source file 2024-04-03T16:54:22.3430380Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2024-04-03T16:54:22.3433257Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 522 <- wrt source file 2024-04-03T16:54:22.3436625Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0 2024-04-03T16:54:22.3439447Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 604 <- wrt source file 2024-04-03T16:54:22.3444344Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0 2024-04-03T16:54:22.3448039Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 667 <- wrt source file 2024-04-03T16:54:22.3459134Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2024-04-03T16:54:22.3462398Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 842 <- wrt source file 2024-04-03T16:54:22.3469981Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2024-04-03T16:54:22.3473124Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1160 <- wrt source file 2024-04-03T16:54:22.3480775Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2024-04-03T16:54:22.3484374Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1280 <- wrt source file 2024-04-03T16:54:22.3492246Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2024-04-03T16:54:22.3495448Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1337 <- wrt source file 2024-04-03T16:54:22.3501939Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2024-04-03T16:54:22.3505177Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1408 <- wrt source file 2024-04-03T16:54:22.3511056Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2024-04-03T16:54:22.3514142Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1495 <- wrt source file 2024-04-03T16:54:22.3522593Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2024-04-03T16:54:22.3525575Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1707 <- wrt source file 2024-04-03T16:54:22.3555562Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2024-04-03T16:54:22.3558885Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 494 <- wrt source file 2024-04-03T16:54:22.3562098Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2024-04-03T16:54:22.3565255Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0, line 870 <- wrt source file 2024-04-03T16:54:22.3571716Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0 2024-04-03T16:54:22.3574762Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0, line 1097 <- wrt source file 2024-04-03T16:54:22.3579113Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0 2024-04-03T16:54:22.3582945Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 1883 <- wrt source file 2024-04-03T16:54:22.3586074Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2024-04-03T16:54:22.3589324Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2221 <- wrt source file 2024-04-03T16:54:22.3592501Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0 2024-04-03T16:54:22.3595735Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2252 <- wrt source file 2024-04-03T16:54:22.3598990Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2024-04-03T16:54:22.3602183Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2276 <- wrt source file 2024-04-03T16:54:22.3605238Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0 2024-04-03T16:54:22.3608410Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2301 <- wrt source file 2024-04-03T16:54:22.3611582Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2024-04-03T16:54:22.3614787Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2329 <- wrt source file 2024-04-03T16:54:22.3617807Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0 2024-04-03T16:54:22.3622230Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2353 <- wrt source file 2024-04-03T16:54:22.3626092Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0 2024-04-03T16:54:22.3629581Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2386 <- wrt source file 2024-04-03T16:54:22.3633417Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2024-04-03T16:54:22.3637705Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 35 <- wrt source file 2024-04-03T16:54:22.3641970Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2024-04-03T16:54:22.3645156Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 146 <- wrt source file 2024-04-03T16:54:22.3648716Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2024-04-03T16:54:22.3652447Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 243 <- wrt source file 2024-04-03T16:54:22.3657530Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2024-04-03T16:54:22.3660672Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 329 <- wrt source file 2024-04-03T16:54:22.3663913Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2024-04-03T16:54:22.3666967Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 53 <- wrt source file 2024-04-03T16:54:22.3670292Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2024-04-03T16:54:22.3673425Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 106 <- wrt source file 2024-04-03T16:54:22.3691873Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2024-04-03T16:54:22.3695004Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 172 <- wrt source file 2024-04-03T16:54:23.0195226Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2024-04-03T16:54:23.0395662Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 228 <- wrt source file 2024-04-03T16:54:23.0405105Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2024-04-03T16:54:23.0408386Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 281 <- wrt source file 2024-04-03T16:54:23.0411956Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2024-04-03T16:54:23.0415147Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 337 <- wrt source file 2024-04-03T16:54:23.0438448Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2024-04-03T16:54:23.0441581Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 381 <- wrt source file 2024-04-03T16:54:23.0445894Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2024-04-03T16:54:23.0449016Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 425 <- wrt source file 2024-04-03T16:54:23.0453709Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2024-04-03T16:54:23.0456892Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 482 <- wrt source file 2024-04-03T16:54:23.0459949Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2024-04-03T16:54:23.0463546Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 540 <- wrt source file 2024-04-03T16:54:23.0466749Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2024-04-03T16:54:23.0469985Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 583 <- wrt source file 2024-04-03T16:54:23.0473174Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2024-04-03T16:54:23.0476341Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 640 <- wrt source file 2024-04-03T16:54:23.5699788Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2024-04-03T16:54:23.5896956Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 674 <- wrt source file 2024-04-03T16:54:23.5906253Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2024-04-03T16:54:23.5909502Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 728 <- wrt source file 2024-04-03T16:54:23.5912774Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2024-04-03T16:54:23.5915728Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 786 <- wrt source file 2024-04-03T16:54:23.5937170Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2024-04-03T16:54:23.5940320Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 38 <- wrt source file 2024-04-03T16:54:23.5943738Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2024-04-03T16:54:23.5946947Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 91 <- wrt source file 2024-04-03T16:54:23.5950159Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2024-04-03T16:54:23.5953236Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 75 <- wrt source file 2024-04-03T16:54:23.5956132Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2024-04-03T16:54:23.5959077Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 146 <- wrt source file 2024-04-03T16:54:23.6009488Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2024-04-03T16:54:23.6012512Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 223 <- wrt source file 2024-04-03T16:54:23.8293838Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2024-04-03T16:54:23.8340082Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 292 <- wrt source file 2024-04-03T16:54:23.8352729Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2024-04-03T16:54:23.8355950Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 458 <- wrt source file 2024-04-03T16:54:23.9123601Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2024-04-03T16:54:23.9161053Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 532 <- wrt source file 2024-04-03T16:54:23.9173219Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2024-04-03T16:54:23.9176287Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 613 <- wrt source file 2024-04-03T16:54:23.9216560Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2024-04-03T16:54:23.9219436Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 705 <- wrt source file 2024-04-03T16:54:24.0916408Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2024-04-03T16:54:24.0963012Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 774 <- wrt source file 2024-04-03T16:54:24.1012955Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2024-04-03T16:54:24.1016103Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 846 <- wrt source file 2024-04-03T16:54:24.1872160Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2024-04-03T16:54:24.1875115Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 935 <- wrt source file 2024-04-03T16:54:24.1883149Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2024-04-03T16:54:24.1886484Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 985 <- wrt source file 2024-04-03T16:54:24.1939920Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2024-04-03T16:54:24.1943596Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1043 <- wrt source file 2024-04-03T16:54:24.4137067Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2024-04-03T16:54:24.4221777Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1094 <- wrt source file 2024-04-03T16:54:24.4227562Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2024-04-03T16:54:24.4230781Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1128 <- wrt source file 2024-04-03T16:54:24.4238166Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2024-04-03T16:54:24.4241397Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1171 <- wrt source file 2024-04-03T16:54:24.4269923Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2024-04-03T16:54:24.4273380Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1218 <- wrt source file 2024-04-03T16:54:24.4276543Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2024-04-03T16:54:24.4279871Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1249 <- wrt source file 2024-04-03T16:54:24.4284569Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2024-04-03T16:54:24.4287966Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1288 <- wrt source file 2024-04-03T16:54:24.4309559Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2024-04-03T16:54:24.4312426Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0, line 491 <- wrt source file 2024-04-03T16:54:24.4322948Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0 2024-04-03T16:54:24.4325930Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 784 <- wrt source file 2024-04-03T16:54:24.4633694Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0 2024-04-03T16:54:24.4637050Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1053 <- wrt source file 2024-04-03T16:54:24.4651859Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0 2024-04-03T16:54:24.4654673Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1242 <- wrt source file 2024-04-03T16:54:24.4664371Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2024-04-03T16:54:24.4667255Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1346 <- wrt source file 2024-04-03T16:54:24.4675518Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2024-04-03T16:54:24.4678384Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1443 <- wrt source file 2024-04-03T16:54:24.4689905Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2024-04-03T16:54:24.4692864Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 67 <- wrt source file 2024-04-03T16:54:24.4703859Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0 2024-04-03T16:54:24.4706993Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 201 <- wrt source file 2024-04-03T16:54:24.4710373Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2024-04-03T16:54:24.4713753Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 430 <- wrt source file 2024-04-03T16:54:24.4717364Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2024-04-03T16:54:24.4720650Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 84 <- wrt source file 2024-04-03T16:54:25.0701801Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0 2024-04-03T16:54:25.0717118Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 205 <- wrt source file 2024-04-03T16:54:25.0720468Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2024-04-03T16:54:25.0724068Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 258 <- wrt source file 2024-04-03T16:54:25.1316231Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2024-04-03T16:54:25.1320265Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 435 <- wrt source file 2024-04-03T16:54:25.2539272Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2024-04-03T16:54:25.2546816Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 544 <- wrt source file 2024-04-03T16:54:25.2763865Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2024-04-03T16:54:25.2767394Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 795 <- wrt source file 2024-04-03T16:54:25.3118809Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2024-04-03T16:54:25.3121840Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 74 <- wrt source file 2024-04-03T16:54:25.3144797Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2024-04-03T16:54:25.3147772Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 202 <- wrt source file 2024-04-03T16:54:25.3158790Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2024-04-03T16:54:25.3161941Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 248 <- wrt source file 2024-04-03T16:54:25.3169003Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2024-04-03T16:54:25.3172309Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 120 <- wrt source file 2024-04-03T16:54:25.3175440Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2024-04-03T16:54:25.3178325Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 613 <- wrt source file 2024-04-03T16:54:25.3181617Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2024-04-03T16:54:25.3185267Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1385 <- wrt source file 2024-04-03T16:54:25.3188749Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2024-04-03T16:54:25.3192876Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1946 <- wrt source file 2024-04-03T16:54:25.3196538Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2024-04-03T16:54:25.3200529Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 1956 <- wrt source file 2024-04-03T16:54:25.3204379Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2024-04-03T16:54:25.3208514Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 1998 <- wrt source file 2024-04-03T16:54:25.3212574Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2024-04-03T16:54:25.3216248Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 29 <- wrt source file 2024-04-03T16:54:25.3219449Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2024-04-03T16:54:25.3222645Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0, line 31 <- wrt source file 2024-04-03T16:54:25.3225200Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0 2024-04-03T16:54:25.3228073Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 246 <- wrt source file 2024-04-03T16:54:25.3231200Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2024-04-03T16:54:25.3234320Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 335 <- wrt source file 2024-04-03T16:54:25.3237311Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2024-04-03T16:54:25.3240565Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 541 <- wrt source file 2024-04-03T16:54:25.3243670Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2024-04-03T16:54:25.3246630Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0, line 462 <- wrt source file 2024-04-03T16:54:25.3249921Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0 2024-04-03T16:54:25.3252974Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0, line 848 <- wrt source file 2024-04-03T16:54:25.3255741Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0 2024-04-03T16:54:25.3258567Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 884 <- wrt source file 2024-04-03T16:54:25.3261654Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2024-04-03T16:54:25.3264737Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 927 <- wrt source file 2024-04-03T16:54:25.3267673Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2024-04-03T16:54:25.3270567Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0, line 1195 <- wrt source file 2024-04-03T16:54:25.3273108Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0 2024-04-03T16:54:25.3275920Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1223 <- wrt source file 2024-04-03T16:54:25.3279198Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0 2024-04-03T16:54:25.3282494Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 283 <- wrt source file 2024-04-03T16:54:25.3285951Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2024-04-03T16:54:25.3289425Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 360 <- wrt source file 2024-04-03T16:54:25.3292155Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2024-04-03T16:54:25.3295110Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 412 <- wrt source file 2024-04-03T16:54:25.3298046Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2024-04-03T16:54:25.3300760Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 466 <- wrt source file 2024-04-03T16:54:25.3303770Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2024-04-03T16:54:25.3306470Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 494 <- wrt source file 2024-04-03T16:54:25.3316490Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2024-04-03T16:54:25.3319462Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 264 <- wrt source file 2024-04-03T16:54:25.3325974Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2024-04-03T16:54:25.3328942Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 291 <- wrt source file 2024-04-03T16:54:25.3335033Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2024-04-03T16:54:25.3338637Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 173 <- wrt source file 2024-04-03T16:54:25.3341648Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0 2024-04-03T16:54:25.3344699Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 120 <- wrt source file 2024-04-03T16:54:25.3348411Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2024-04-03T16:54:25.3351351Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 142 <- wrt source file 2024-04-03T16:54:25.3355305Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2024-04-03T16:54:25.3358496Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 204 <- wrt source file 2024-04-03T16:54:25.3361637Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2024-04-03T16:54:25.3365371Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 135 <- wrt source file 2024-04-03T16:54:25.3387180Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2024-04-03T16:54:25.3390726Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 207 <- wrt source file 2024-04-03T16:54:25.3393579Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2024-04-03T16:54:25.3396705Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 296 <- wrt source file 2024-04-03T16:54:25.3399864Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2024-04-03T16:54:25.3402964Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 382 <- wrt source file 2024-04-03T16:54:25.3405756Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2024-04-03T16:54:25.3408714Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 435 <- wrt source file 2024-04-03T16:54:25.3411682Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2024-04-03T16:54:25.3414738Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 489 <- wrt source file 2024-04-03T16:54:25.3417454Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2024-04-03T16:54:25.3420097Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 553 <- wrt source file 2024-04-03T16:54:25.3422899Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2024-04-03T16:54:25.3425639Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 653 <- wrt source file 2024-04-03T16:54:25.3428317Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2024-04-03T16:54:25.3431065Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 766 <- wrt source file 2024-04-03T16:54:25.3433817Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2024-04-03T16:54:25.3436623Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 890 <- wrt source file 2024-04-03T16:54:25.3439406Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2024-04-03T16:54:25.3442407Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0, line 1004 <- wrt source file 2024-04-03T16:54:25.3445213Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0 2024-04-03T16:54:25.3447851Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1218 <- wrt source file 2024-04-03T16:54:25.3450348Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2024-04-03T16:54:25.3453358Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1463 <- wrt source file 2024-04-03T16:54:25.3456982Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2024-04-03T16:54:25.3460714Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1479 <- wrt source file 2024-04-03T16:54:25.3464401Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2024-04-03T16:54:25.3467914Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 1624 <- wrt source file 2024-04-03T16:54:25.3470743Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2024-04-03T16:54:25.3473428Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0, line 242 <- wrt source file 2024-04-03T16:54:25.3476060Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0 2024-04-03T16:54:25.3478806Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0, line 19 <- wrt source file 2024-04-03T16:54:25.3481582Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0 2024-04-03T16:54:25.3484273Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0, line 510 <- wrt source file 2024-04-03T16:54:25.3487001Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0 2024-04-03T16:54:25.3489977Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 328 <- wrt source file 2024-04-03T16:54:25.3493101Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2024-04-03T16:54:25.3496379Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_creation.py::make_tensor:0, line 112 <- wrt source file 2024-04-03T16:54:25.3499292Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_creation.py::make_tensor:0 2024-04-03T16:54:25.3502651Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 501 <- wrt source file 2024-04-03T16:54:25.3505980Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::parametrize:0 2024-04-03T16:54:25.3509314Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 656 <- wrt source file 2024-04-03T16:54:25.3512565Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0 2024-04-03T16:54:25.3516210Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4146 <- wrt source file 2024-04-03T16:54:25.3519834Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0 2024-04-03T16:54:25.3523456Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4160 <- wrt source file 2024-04-03T16:54:25.3527028Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0 2024-04-03T16:54:25.3530463Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4190 <- wrt source file 2024-04-03T16:54:25.3533739Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0 2024-04-03T16:54:25.3537191Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 190 <- wrt source file 2024-04-03T16:54:25.3540615Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0 2024-04-03T16:54:25.3544538Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 291 <- wrt source file 2024-04-03T16:54:25.3548080Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0 2024-04-03T16:54:25.3551937Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2024-04-03T16:54:25.9763663Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2024-04-03T16:54:25.9765611Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 260 <- wrt source file 2024-04-03T16:54:25.9771011Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2024-04-03T16:54:25.9772788Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 302 <- wrt source file 2024-04-03T16:54:25.9775216Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2024-04-03T16:54:25.9777036Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 332 <- wrt source file 2024-04-03T16:54:25.9779883Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2024-04-03T16:54:25.9781501Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 367 <- wrt source file 2024-04-03T16:54:25.9784608Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2024-04-03T16:54:25.9786232Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 404 <- wrt source file 2024-04-03T16:54:25.9790458Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2024-04-03T16:54:25.9792300Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 780 <- wrt source file 2024-04-03T16:54:25.9800296Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2024-04-03T16:54:25.9801901Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0, line 869 <- wrt source file 2024-04-03T16:54:25.9806773Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0 2024-04-03T16:54:25.9809499Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 78 <- wrt source file 2024-04-03T16:54:25.9813399Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2024-04-03T16:54:25.9815585Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 282 <- wrt source file 2024-04-03T16:54:25.9817677Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0 2024-04-03T16:54:25.9819730Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 311 <- wrt source file 2024-04-03T16:54:25.9821595Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0 2024-04-03T16:54:25.9823745Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 549 <- wrt source file 2024-04-03T16:54:25.9825462Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0 2024-04-03T16:54:25.9827548Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 751 <- wrt source file 2024-04-03T16:54:25.9829320Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2024-04-03T16:54:25.9831222Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 72 <- wrt source file 2024-04-03T16:54:25.9834091Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0 2024-04-03T16:54:25.9835898Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 96 <- wrt source file 2024-04-03T16:54:25.9837565Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2024-04-03T16:54:25.9839274Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 221 <- wrt source file 2024-04-03T16:54:25.9841060Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0 2024-04-03T16:54:25.9842717Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0, line 444 <- wrt source file 2024-04-03T16:54:25.9844570Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0 2024-04-03T16:54:25.9846363Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0, line 30 <- wrt source file 2024-04-03T16:54:25.9848119Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0 2024-04-03T16:54:25.9850193Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 208 <- wrt source file 2024-04-03T16:54:25.9852239Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2024-04-03T16:54:25.9854826Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 255 <- wrt source file 2024-04-03T16:54:25.9857435Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2024-04-03T16:54:25.9859187Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 37 <- wrt source file 2024-04-03T16:54:25.9860918Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2024-04-03T16:54:25.9862946Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 282 <- wrt source file 2024-04-03T16:54:25.9864700Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2024-04-03T16:54:25.9866621Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 77 <- wrt source file 2024-04-03T16:54:25.9868454Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2024-04-03T16:54:25.9870275Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 239 <- wrt source file 2024-04-03T16:54:25.9872099Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2024-04-03T16:54:25.9874016Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 47 <- wrt source file 2024-04-03T16:54:25.9875978Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2024-04-03T16:54:25.9878862Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 190 <- wrt source file 2024-04-03T16:54:25.9881258Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2024-04-03T16:54:25.9884505Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 82 <- wrt source file 2024-04-03T16:54:25.9887366Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2024-04-03T16:54:25.9889466Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 35 <- wrt source file 2024-04-03T16:54:25.9892027Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2024-04-03T16:54:25.9895269Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 85 <- wrt source file 2024-04-03T16:54:25.9898819Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0 2024-04-03T16:54:25.9901925Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 288 <- wrt source file 2024-04-03T16:54:25.9904115Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0 2024-04-03T16:54:25.9906157Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 368 <- wrt source file 2024-04-03T16:54:25.9908354Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2024-04-03T16:54:25.9910457Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 549 <- wrt source file 2024-04-03T16:54:25.9912512Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2024-04-03T16:54:25.9914564Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 615 <- wrt source file 2024-04-03T16:54:25.9916602Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2024-04-03T16:54:25.9918708Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file 2024-04-03T16:54:25.9920760Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2024-04-03T16:54:25.9922847Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 32 <- wrt source file 2024-04-03T16:54:25.9924908Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2024-04-03T16:54:25.9926949Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 45 <- wrt source file 2024-04-03T16:54:25.9928923Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0 2024-04-03T16:54:25.9930941Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 104 <- wrt source file 2024-04-03T16:54:25.9932952Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0 2024-04-03T16:54:25.9935064Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 171 <- wrt source file 2024-04-03T16:54:25.9937053Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0 2024-04-03T16:54:25.9939036Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 34 <- wrt source file 2024-04-03T16:54:25.9941022Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2024-04-03T16:54:25.9943322Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 21 <- wrt source file 2024-04-03T16:54:25.9945511Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2024-04-03T16:54:25.9947617Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 23 <- wrt source file 2024-04-03T16:54:25.9949688Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2024-04-03T16:54:25.9951756Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 31 <- wrt source file 2024-04-03T16:54:25.9953714Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2024-04-03T16:54:25.9955736Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 31 <- wrt source file 2024-04-03T16:54:25.9957808Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2024-04-03T16:54:25.9959899Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 25 <- wrt source file 2024-04-03T16:54:25.9961927Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0 2024-04-03T16:54:25.9964009Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 69 <- wrt source file 2024-04-03T16:54:25.9965976Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0 2024-04-03T16:54:25.9967956Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 24 <- wrt source file 2024-04-03T16:54:25.9969906Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0 2024-04-03T16:54:25.9971908Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 23 <- wrt source file 2024-04-03T16:54:25.9973931Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2024-04-03T16:54:25.9976018Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 36 <- wrt source file 2024-04-03T16:54:25.9977940Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2024-04-03T16:54:25.9979969Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 433 <- wrt source file 2024-04-03T16:54:26.3609124Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2024-04-03T16:54:26.3612670Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 529 <- wrt source file 2024-04-03T16:54:26.3616297Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2024-04-03T16:54:26.3619851Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 215 <- wrt source file 2024-04-03T16:54:26.3623923Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2024-04-03T16:54:26.3627410Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 325 <- wrt source file 2024-04-03T16:54:26.3629623Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2024-04-03T16:54:26.3631619Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 373 <- wrt source file 2024-04-03T16:54:26.3633688Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2024-04-03T16:54:26.3635602Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 409 <- wrt source file 2024-04-03T16:54:26.3637474Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2024-04-03T16:54:26.3639521Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 460 <- wrt source file 2024-04-03T16:54:26.3642682Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2024-04-03T16:54:26.3645957Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 503 <- wrt source file 2024-04-03T16:54:26.3649334Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2024-04-03T16:54:26.3652849Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 560 <- wrt source file 2024-04-03T16:54:26.3656567Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2024-04-03T16:54:26.3659790Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 626 <- wrt source file 2024-04-03T16:54:26.3663238Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2024-04-03T16:54:26.3666517Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 679 <- wrt source file 2024-04-03T16:54:26.3669698Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2024-04-03T16:54:26.3673056Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 858 <- wrt source file 2024-04-03T16:54:26.3676498Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2024-04-03T16:54:26.3680007Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 945 <- wrt source file 2024-04-03T16:54:26.3683565Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2024-04-03T16:54:26.3687151Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 1051 <- wrt source file 2024-04-03T16:54:26.3690799Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2024-04-03T16:54:26.3694634Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1125 <- wrt source file 2024-04-03T16:54:26.3698558Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2024-04-03T16:54:26.3702686Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1146 <- wrt source file 2024-04-03T16:54:26.3706630Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2024-04-03T16:54:26.3710439Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1170 <- wrt source file 2024-04-03T16:54:26.3714093Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2024-04-03T16:54:26.3717735Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1216 <- wrt source file 2024-04-03T16:54:26.3721214Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2024-04-03T16:54:26.3722986Z ============ 2024-04-03T16:54:26.3723597Z Finished doctests 2024-04-03T16:54:26.3724055Z 314 / 669 passed 2024-04-03T16:54:26.3724541Z  2024-04-03T16:54:26.3725153Z === Found 87 parse-time warnings === 2024-04-03T16:54:26.3726049Z --- Parse Warning: 1 / 87 --- 2024-04-03T16:54:26.3729084Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py line=404. 2024-04-03T16:54:26.3732170Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.3733617Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors. 2024-04-03T16:54:26.3734666Z 2024-04-03T16:54:26.3735306Z This is helpful when you want to visualize data over some 2024-04-03T16:54:26.3736384Z range of inputs. See below for a plotting example. 2024-04-03T16:54:26.3737211Z 2024-04-03T16:54:26.3737923Z Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as 2024-04-03T16:54:26.3739092Z inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`, 2024-04-03T16:54:26.3740349Z this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots 2024-04-03T16:54:26.3741638Z G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where 2024-04-03T16:54:26.3742881Z the output :math:`G_i` is constructed by expanding :math:`T_i` 2024-04-03T16:54:26.3743772Z to the result shape. 2024-04-03T16:54:26.3744378Z 2024-04-03T16:54:26.3744781Z .. note:: 2024-04-03T16:54:26.3745474Z 0D inputs are treated equivalently to 1D inputs of a 2024-04-03T16:54:26.3746375Z single element. 2024-04-03T16:54:26.3746991Z 2024-04-03T16:54:26.3747405Z .. warning:: 2024-04-03T16:54:26.3748131Z `torch.meshgrid(*tensors)` currently has the same behavior 2024-04-03T16:54:26.3749322Z as calling `numpy.meshgrid(*arrays, indexing='ij')`. 2024-04-03T16:54:26.3750118Z 2024-04-03T16:54:26.3750829Z In the future `torch.meshgrid` will transition to 2024-04-03T16:54:26.3751893Z `indexing='xy'` as the default. 2024-04-03T16:54:26.3752608Z 2024-04-03T16:54:26.3753300Z https://github.com/pytorch/pytorch/issues/50276 tracks 2024-04-03T16:54:26.3754426Z this issue with the goal of migrating to NumPy's behavior. 2024-04-03T16:54:26.3755263Z 2024-04-03T16:54:26.3755503Z .. seealso:: 2024-04-03T16:54:26.3755862Z 2024-04-03T16:54:26.3756399Z :func:`torch.cartesian_prod` has the same effect but it 2024-04-03T16:54:26.3757264Z collects the data in a tensor of vectors. 2024-04-03T16:54:26.3758113Z 2024-04-03T16:54:26.3758471Z Args: 2024-04-03T16:54:26.3759409Z tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be 2024-04-03T16:54:26.3760248Z treated as tensors of size :math:`(1,)` automatically 2024-04-03T16:54:26.3761034Z 2024-04-03T16:54:26.3761560Z indexing: (str, optional): the indexing mode, either "xy" 2024-04-03T16:54:26.3762645Z or "ij", defaults to "ij". See warning for future changes. 2024-04-03T16:54:26.3763476Z 2024-04-03T16:54:26.3763984Z If "xy" is selected, the first dimension corresponds 2024-04-03T16:54:26.3764594Z to the cardinality of the second input and the second 2024-04-03T16:54:26.3765295Z dimension corresponds to the cardinality of the first 2024-04-03T16:54:26.3765825Z input. 2024-04-03T16:54:26.3766127Z 2024-04-03T16:54:26.3766481Z If "ij" is selected, the dimensions are in the same 2024-04-03T16:54:26.3767025Z order as the cardinality of the inputs. 2024-04-03T16:54:26.3767459Z 2024-04-03T16:54:26.3767693Z Returns: 2024-04-03T16:54:26.3768089Z seq (sequence of Tensors): If the input has :math:`N` 2024-04-03T16:54:26.3768778Z tensors of size :math:`S_0 \ldots S_{N-1}``, then the 2024-04-03T16:54:26.3769400Z output will also have :math:`N` tensors, where each tensor 2024-04-03T16:54:26.3770015Z is of shape :math:`(S_0, ..., S_{N-1})`. 2024-04-03T16:54:26.3770435Z 2024-04-03T16:54:26.3770683Z Example:: 2024-04-03T16:54:26.3770954Z 2024-04-03T16:54:26.3771236Z >>> x = torch.tensor([1, 2, 3]) 2024-04-03T16:54:26.3771683Z >>> y = torch.tensor([4, 5, 6]) 2024-04-03T16:54:26.3772063Z 2024-04-03T16:54:26.3772508Z Observe the element-wise pairings across the grid, (1, 4), 2024-04-03T16:54:26.3773113Z (1, 5), ..., (3, 6). This is the same thing as the 2024-04-03T16:54:26.3773577Z cartesian product. 2024-04-03T16:54:26.3774193Z >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij') 2024-04-03T16:54:26.3774687Z >>> grid_x 2024-04-03T16:54:26.3775000Z tensor([[1, 1, 1], 2024-04-03T16:54:26.3775356Z [2, 2, 2], 2024-04-03T16:54:26.3775715Z [3, 3, 3]]) 2024-04-03T16:54:26.3776059Z >>> grid_y 2024-04-03T16:54:26.3776381Z tensor([[4, 5, 6], 2024-04-03T16:54:26.3776734Z [4, 5, 6], 2024-04-03T16:54:26.3777074Z [4, 5, 6]]) 2024-04-03T16:54:26.3777414Z 2024-04-03T16:54:26.3777776Z This correspondence can be seen when these grids are 2024-04-03T16:54:26.3778274Z stacked properly. 2024-04-03T16:54:26.3778796Z >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))), 2024-04-03T16:54:26.3779403Z ... torch.cartesian_prod(x, y)) 2024-04-03T16:54:26.3779840Z True 2024-04-03T16:54:26.3780102Z 2024-04-03T16:54:26.3780469Z `torch.meshgrid` is commonly used to produce a grid for 2024-04-03T16:54:26.3781030Z plotting. 2024-04-03T16:54:26.3781410Z >>> # xdoctest: +REQUIRES(module:matplotlib) 2024-04-03T16:54:26.3781928Z >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW) 2024-04-03T16:54:26.3782562Z >>> import matplotlib.pyplot as plt 2024-04-03T16:54:26.3783113Z >>> xs = torch.linspace(-5, 5, steps=100) 2024-04-03T16:54:26.3783663Z >>> ys = torch.linspace(-5, 5, steps=100) 2024-04-03T16:54:26.3784241Z >>> x, y = torch.meshgrid(xs, ys, indexing='xy') 2024-04-03T16:54:26.3784749Z >>> z = torch.sin(torch.sqrt(x * x + y * y)) 2024-04-03T16:54:26.3785365Z >>> ax = plt.axes(projection='3d') 2024-04-03T16:54:26.3785894Z >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy()) 2024-04-03T16:54:26.3786365Z >>> plt.show() 2024-04-03T16:54:26.3786692Z 2024-04-03T16:54:26.3786992Z .. image:: ../_static/img/meshgrid.png 2024-04-03T16:54:26.3787411Z :width: 512 2024-04-03T16:54:26.3787716Z 2024-04-03T16:54:26.3787943Z 2024-04-03T16:54:26.3788484Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.3789067Z 2024-04-03T16:54:26.3789318Z warnings.warn(msg) 2024-04-03T16:54:26.3789609Z 2024-04-03T16:54:26.3789954Z --- Parse Warning: 2 / 87 --- 2024-04-03T16:54:26.3791604Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py line=763. 2024-04-03T16:54:26.3793320Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.3794414Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> Tuple[Tensor, Tensor, Tensor] 2024-04-03T16:54:26.3795163Z 2024-04-03T16:54:26.3795505Z Returns the unique elements of the input tensor. 2024-04-03T16:54:26.3795948Z 2024-04-03T16:54:26.3796495Z .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that 2024-04-03T16:54:26.3797395Z this function also eliminates non-consecutive duplicate values. 2024-04-03T16:54:26.3797917Z 2024-04-03T16:54:26.3798371Z .. note:: Currently in the CUDA implementation and the CPU implementation, 2024-04-03T16:54:26.3799257Z `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument. 2024-04-03T16:54:26.3800222Z Sorting could be slow, so if your input tensor is already sorted, it is recommended to use 2024-04-03T16:54:26.3801035Z :func:`torch.unique_consecutive` which avoids the sorting. 2024-04-03T16:54:26.3801531Z 2024-04-03T16:54:26.3801753Z Args: 2024-04-03T16:54:26.3802068Z input (Tensor): the input tensor 2024-04-03T16:54:26.3802671Z sorted (bool): Whether to sort the unique elements in ascending order 2024-04-03T16:54:26.3803263Z before returning as output. 2024-04-03T16:54:26.3803846Z return_inverse (bool): Whether to also return the indices for where 2024-04-03T16:54:26.3804594Z elements in the original input ended up in the returned unique list. 2024-04-03T16:54:26.3805362Z return_counts (bool): Whether to also return the counts for each unique 2024-04-03T16:54:26.3805921Z element. 2024-04-03T16:54:26.3806414Z dim (int, optional): the dimension to operate upon. If ``None``, the 2024-04-03T16:54:26.3807150Z unique of the flattened input is returned. Otherwise, each of the 2024-04-03T16:54:26.3807857Z tensors indexed by the given dimension is treated as one of the 2024-04-03T16:54:26.3808581Z elements to apply the unique operation upon. See examples for more 2024-04-03T16:54:26.3809174Z details. Default: ``None`` 2024-04-03T16:54:26.3809585Z 2024-04-03T16:54:26.3809817Z Returns: 2024-04-03T16:54:26.3810372Z (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing 2024-04-03T16:54:26.3810992Z 2024-04-03T16:54:26.3811457Z - **output** (*Tensor*): the output list of unique scalar elements. 2024-04-03T16:54:26.3812123Z - **inverse_indices** (*Tensor*): (optional) if 2024-04-03T16:54:26.3812707Z :attr:`return_inverse` is True, there will be an additional 2024-04-03T16:54:26.3813388Z returned tensor (same shape as input) representing the indices 2024-04-03T16:54:26.3814219Z for where elements in the original input map to in the output; 2024-04-03T16:54:26.3814914Z otherwise, this function will only return a single tensor. 2024-04-03T16:54:26.3815529Z - **counts** (*Tensor*): (optional) if 2024-04-03T16:54:26.3816097Z :attr:`return_counts` is True, there will be an additional 2024-04-03T16:54:26.3816752Z returned tensor (same shape as output or output.size(dim), 2024-04-03T16:54:26.3817417Z if dim was specified) representing the number of occurrences 2024-04-03T16:54:26.3818001Z for each unique value or tensor. 2024-04-03T16:54:26.3818407Z 2024-04-03T16:54:26.3818635Z Example:: 2024-04-03T16:54:26.3818899Z 2024-04-03T16:54:26.3819354Z >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long)) 2024-04-03T16:54:26.3819929Z >>> output 2024-04-03T16:54:26.3820232Z tensor([1, 2, 3]) 2024-04-03T16:54:26.3820551Z 2024-04-03T16:54:26.3820844Z >>> output, inverse_indices = torch.unique( 2024-04-03T16:54:26.3821509Z ... torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True) 2024-04-03T16:54:26.3822226Z >>> output 2024-04-03T16:54:26.3822521Z tensor([1, 2, 3]) 2024-04-03T16:54:26.3822862Z >>> inverse_indices 2024-04-03T16:54:26.3823218Z tensor([0, 2, 1, 2]) 2024-04-03T16:54:26.3823540Z 2024-04-03T16:54:26.3823847Z >>> output, inverse_indices = torch.unique( 2024-04-03T16:54:26.3824526Z ... torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True) 2024-04-03T16:54:26.3825113Z >>> output 2024-04-03T16:54:26.3825416Z tensor([1, 2, 3]) 2024-04-03T16:54:26.3825755Z >>> inverse_indices 2024-04-03T16:54:26.3826093Z tensor([[0, 2], 2024-04-03T16:54:26.3826413Z [1, 2]]) 2024-04-03T16:54:26.3826722Z 2024-04-03T16:54:26.3826964Z >>> a = torch.tensor([ 2024-04-03T16:54:26.3827319Z ... [ 2024-04-03T16:54:26.3827622Z ... [1, 1, 0, 0], 2024-04-03T16:54:26.3827976Z ... [1, 1, 0, 0], 2024-04-03T16:54:26.3828336Z ... [0, 0, 1, 1], 2024-04-03T16:54:26.3828692Z ... ], 2024-04-03T16:54:26.3828968Z ... [ 2024-04-03T16:54:26.3829267Z ... [0, 0, 1, 1], 2024-04-03T16:54:26.3829633Z ... [0, 0, 1, 1], 2024-04-03T16:54:26.3829986Z ... [1, 1, 1, 1], 2024-04-03T16:54:26.3830335Z ... ], 2024-04-03T16:54:26.3830625Z ... [ 2024-04-03T16:54:26.3830910Z ... [1, 1, 0, 0], 2024-04-03T16:54:26.3831270Z ... [1, 1, 0, 0], 2024-04-03T16:54:26.3831632Z ... [0, 0, 1, 1], 2024-04-03T16:54:26.3831968Z ... ], 2024-04-03T16:54:26.3832255Z ... ]) 2024-04-03T16:54:26.3832518Z 2024-04-03T16:54:26.3832950Z >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]` 2024-04-03T16:54:26.3833719Z >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match 2024-04-03T16:54:26.3834429Z >>> # each other, so one of them will be removed. 2024-04-03T16:54:26.3834904Z >>> (a[0, :, :] == a[2, :, :]).all() 2024-04-03T16:54:26.3835313Z tensor(True) 2024-04-03T16:54:26.3835684Z >>> a_unique_dim0 = torch.unique(a, dim=0) 2024-04-03T16:54:26.3836110Z >>> a_unique_dim0 2024-04-03T16:54:26.3836451Z tensor([[[0, 0, 1, 1], 2024-04-03T16:54:26.3836806Z [0, 0, 1, 1], 2024-04-03T16:54:26.3837150Z [1, 1, 1, 1]], 2024-04-03T16:54:26.3837512Z [[1, 1, 0, 0], 2024-04-03T16:54:26.3837872Z [1, 1, 0, 0], 2024-04-03T16:54:26.3838255Z [0, 0, 1, 1]]]) 2024-04-03T16:54:26.3838609Z 2024-04-03T16:54:26.3839117Z >>> # Notice which sub-tensors from `a` match with the sub-tensors from 2024-04-03T16:54:26.3839676Z >>> # `a_unique_dim0`: 2024-04-03T16:54:26.3840104Z >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all() 2024-04-03T16:54:26.3840548Z tensor(True) 2024-04-03T16:54:26.3840913Z >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all() 2024-04-03T16:54:26.3841350Z tensor(True) 2024-04-03T16:54:26.3841648Z 2024-04-03T16:54:26.3842063Z >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are 2024-04-03T16:54:26.3842790Z >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of 2024-04-03T16:54:26.3843392Z >>> # them will be removed. 2024-04-03T16:54:26.3865936Z >>> (a[:, 0, :] == a[:, 1, :]).all() 2024-04-03T16:54:26.3866525Z tensor(True) 2024-04-03T16:54:26.3866869Z >>> torch.unique(a, dim=1) 2024-04-03T16:54:26.3867266Z tensor([[[0, 0, 1, 1], 2024-04-03T16:54:26.3867627Z [1, 1, 0, 0]], 2024-04-03T16:54:26.3867979Z [[1, 1, 1, 1], 2024-04-03T16:54:26.3868329Z [0, 0, 1, 1]], 2024-04-03T16:54:26.3868685Z [[0, 0, 1, 1], 2024-04-03T16:54:26.3869034Z [1, 1, 0, 0]]]) 2024-04-03T16:54:26.3869376Z 2024-04-03T16:54:26.3869816Z >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared. 2024-04-03T16:54:26.3870522Z >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and 2024-04-03T16:54:26.3871191Z >>> # `a[:, :, 3]` match each other as well. So in this case, two of the 2024-04-03T16:54:26.3871847Z >>> # sub-tensors will be removed. 2024-04-03T16:54:26.3872283Z >>> (a[:, :, 0] == a[:, :, 1]).all() 2024-04-03T16:54:26.3872691Z tensor(True) 2024-04-03T16:54:26.3873040Z >>> (a[:, :, 2] == a[:, :, 3]).all() 2024-04-03T16:54:26.3873431Z tensor(True) 2024-04-03T16:54:26.3873767Z >>> torch.unique(a, dim=2) 2024-04-03T16:54:26.3874155Z tensor([[[0, 1], 2024-04-03T16:54:26.3874470Z [0, 1], 2024-04-03T16:54:26.3874795Z [1, 0]], 2024-04-03T16:54:26.3875120Z [[1, 0], 2024-04-03T16:54:26.3875421Z [1, 0], 2024-04-03T16:54:26.3875733Z [1, 1]], 2024-04-03T16:54:26.3876050Z [[0, 1], 2024-04-03T16:54:26.3876480Z [0, 1], 2024-04-03T16:54:26.3876799Z [1, 0]]]) 2024-04-03T16:54:26.3877121Z 2024-04-03T16:54:26.3877660Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.3878247Z 2024-04-03T16:54:26.3878492Z warnings.warn(msg) 2024-04-03T16:54:26.3878784Z 2024-04-03T16:54:26.3879125Z --- Parse Warning: 3 / 87 --- 2024-04-03T16:54:26.3880732Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=impl_abstract in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=384. 2024-04-03T16:54:26.3882411Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.3883233Z Register an abstract implementation for this operator. 2024-04-03T16:54:26.3883703Z 2024-04-03T16:54:26.3884155Z An "abstract implementation" specifies the behavior of this operator on 2024-04-03T16:54:26.3884958Z Tensors that carry no data. Given some input Tensors with certain properties 2024-04-03T16:54:26.3885798Z (sizes/strides/storage_offset/device), it specifies what the properties of 2024-04-03T16:54:26.3886413Z the output Tensors are. 2024-04-03T16:54:26.3886740Z 2024-04-03T16:54:26.3887212Z The abstract implementation has the same signature as the operator. 2024-04-03T16:54:26.3887971Z It is run for both FakeTensors and meta tensors. To write an abstract 2024-04-03T16:54:26.3888695Z implementation, assume that all Tensor inputs to the operator are 2024-04-03T16:54:26.3889413Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2024-04-03T16:54:26.3890134Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2024-04-03T16:54:26.3890863Z The abstract implementation must consist of only PyTorch operations 2024-04-03T16:54:26.3891588Z (and may not directly access the storage or data of any input or 2024-04-03T16:54:26.3892146Z intermediate Tensors). 2024-04-03T16:54:26.3892463Z 2024-04-03T16:54:26.3892866Z This API may be used as a decorator (see examples). 2024-04-03T16:54:26.3893367Z 2024-04-03T16:54:26.3893675Z For a detailed guide on custom ops, please see 2024-04-03T16:54:26.3894636Z https://docs.google.com/document/d/1W--T6wz8IY8fOI0Vm8BF44PdBgs283QvpelJZWieQWQ/edit 2024-04-03T16:54:26.3895315Z 2024-04-03T16:54:26.3895537Z Examples: 2024-04-03T16:54:26.3895827Z >>> import torch 2024-04-03T16:54:26.3896176Z >>> import numpy as np 2024-04-03T16:54:26.3896556Z >>> from torch import Tensor 2024-04-03T16:54:26.3896941Z >>> 2024-04-03T16:54:26.3897425Z >>> # Example 1: an operator without data-dependent output shape 2024-04-03T16:54:26.3897972Z >>> torch.library.define( 2024-04-03T16:54:26.3898385Z >>> "mylib::custom_linear", 2024-04-03T16:54:26.3898957Z >>> "(Tensor x, Tensor weight, Tensor bias) -> Tensor") 2024-04-03T16:54:26.3899423Z >>> 2024-04-03T16:54:26.3899803Z >>> @torch.library.impl_abstract("mylib::custom_linear") 2024-04-03T16:54:26.3900358Z >>> def custom_linear_abstract(x, weight): 2024-04-03T16:54:26.3900809Z >>> assert x.dim() == 2 2024-04-03T16:54:26.3901216Z >>> assert weight.dim() == 2 2024-04-03T16:54:26.3901648Z >>> assert bias.dim() == 1 2024-04-03T16:54:26.3902240Z >>> assert x.shape[1] == weight.shape[1] 2024-04-03T16:54:26.3902736Z >>> assert weight.shape[0] == bias.shape[0] 2024-04-03T16:54:26.3903238Z >>> assert x.device == weight.device 2024-04-03T16:54:26.3903657Z >>> 2024-04-03T16:54:26.3903961Z >>> return (x @ weight.t()) + bias 2024-04-03T16:54:26.3904373Z >>> 2024-04-03T16:54:26.3904843Z >>> # Example 2: an operator with data-dependent output shape 2024-04-03T16:54:26.3905611Z >>> torch.library.define("mylib::custom_nonzero", "(Tensor x) -> Tensor") 2024-04-03T16:54:26.3906180Z >>> 2024-04-03T16:54:26.3906578Z >>> @torch.library.impl_abstract("mylib::custom_nonzero") 2024-04-03T16:54:26.3907099Z >>> def custom_nonzero_abstract(x): 2024-04-03T16:54:26.3907673Z >>> # Number of nonzero-elements is data-dependent. 2024-04-03T16:54:26.3908276Z >>> # Since we cannot peek at the data in an abstract impl, 2024-04-03T16:54:26.3908896Z >>> # we use the ctx object to construct a new symint that 2024-04-03T16:54:26.3909504Z >>> # represents the data-dependent size. 2024-04-03T16:54:26.3910064Z >>> ctx = torch.library.get_ctx() 2024-04-03T16:54:26.3910533Z >>> nnz = ctx.new_dynamic_size() 2024-04-03T16:54:26.3910964Z >>> shape = [nnz, x.dim()] 2024-04-03T16:54:26.3911457Z >>> result = x.new_empty(shape, dtype=torch.int64) 2024-04-03T16:54:26.3911936Z >>> return result 2024-04-03T16:54:26.3912269Z >>> 2024-04-03T16:54:26.3912660Z >>> @torch.library.impl("mylib::custom_nonzero", "cpu") 2024-04-03T16:54:26.3913173Z >>> def custom_nonzero_cpu(x): 2024-04-03T16:54:26.3913572Z >>> x_np = x.numpy() 2024-04-03T16:54:26.3914056Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2024-04-03T16:54:26.3914583Z >>> return torch.tensor(res, device=x.device) 2024-04-03T16:54:26.3915002Z 2024-04-03T16:54:26.3915227Z 2024-04-03T16:54:26.3915770Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.3916341Z 2024-04-03T16:54:26.3916587Z warnings.warn(msg) 2024-04-03T16:54:26.3916891Z 2024-04-03T16:54:26.3917211Z --- Parse Warning: 4 / 87 --- 2024-04-03T16:54:26.3918894Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_compiling in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py line=158. 2024-04-03T16:54:26.3920730Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-04-03T16:54:26.3921309Z 2024-04-03T16:54:26.3921847Z Indicates whether a graph is executed/traced as part of torch.compile() or torch.export(). 2024-04-03T16:54:26.3922520Z 2024-04-03T16:54:26.3922986Z Note that there are 2 other related flags that should deprecated eventually: 2024-04-03T16:54:26.3923639Z * torch._dynamo.external_utils.is_compiling() 2024-04-03T16:54:26.3924111Z * torch._utils.is_compiling() 2024-04-03T16:54:26.3924470Z 2024-04-03T16:54:26.3924690Z Example:: 2024-04-03T16:54:26.3924941Z 2024-04-03T16:54:26.3925189Z >>> def forward(self, x): 2024-04-03T16:54:26.3925608Z >>> if not torch.compiler.is_compiling(): 2024-04-03T16:54:26.3926180Z >>> ...logic that is not needed in a compiled/traced graph... 2024-04-03T16:54:26.3926678Z >>> 2024-04-03T16:54:26.3926951Z >>> ...rest of the function... 2024-04-03T16:54:26.3927333Z 2024-04-03T16:54:26.3928209Z Original Error: SyntaxError('invalid syntax', ('', 3, 11, ' ...logic that is not needed in a compiled/traced graph...\n', 3, 16)) 2024-04-03T16:54:26.3929066Z 2024-04-03T16:54:26.3929430Z ...logic that is not needed in a compiled/traced graph... 2024-04-03T16:54:26.3929919Z ^ 2024-04-03T16:54:26.3930184Z warnings.warn(msg) 2024-04-03T16:54:26.3930484Z 2024-04-03T16:54:26.3930816Z --- Parse Warning: 5 / 87 --- 2024-04-03T16:54:26.3932485Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_dynamo_compiling in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py line=179. 2024-04-03T16:54:26.3934305Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-04-03T16:54:26.3934884Z 2024-04-03T16:54:26.3935229Z Indicates whether a graph is traced via TorchDynamo. 2024-04-03T16:54:26.3935677Z 2024-04-03T16:54:26.3936200Z It's stricter than is_compiling() flag, as it would only be set to True when 2024-04-03T16:54:26.3936800Z TorchDynamo is used. 2024-04-03T16:54:26.3937086Z 2024-04-03T16:54:26.3937319Z Example:: 2024-04-03T16:54:26.3937570Z 2024-04-03T16:54:26.3937808Z >>> def forward(self, x): 2024-04-03T16:54:26.3938253Z >>> if not torch.compiler.is_dynamo_compiling(): 2024-04-03T16:54:26.3938982Z >>> ...logic that is not needed in a TorchDynamo-traced graph... 2024-04-03T16:54:26.3939489Z >>> 2024-04-03T16:54:26.3939775Z >>> ...rest of the function... 2024-04-03T16:54:26.3940158Z 2024-04-03T16:54:26.3941042Z Original Error: SyntaxError('invalid syntax', ('', 3, 11, ' ...logic that is not needed in a TorchDynamo-traced graph...\n', 3, 16)) 2024-04-03T16:54:26.3941930Z 2024-04-03T16:54:26.3942510Z ...logic that is not needed in a TorchDynamo-traced graph... 2024-04-03T16:54:26.3943010Z ^ 2024-04-03T16:54:26.3943290Z warnings.warn(msg) 2024-04-03T16:54:26.3943592Z 2024-04-03T16:54:26.3943964Z --- Parse Warning: 6 / 87 --- 2024-04-03T16:54:26.3945602Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.then in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py line=100. 2024-04-03T16:54:26.3947323Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.3947906Z 2024-04-03T16:54:26.3948352Z Append the given callback function to this ``Future``, which will be run 2024-04-03T16:54:26.3949106Z when the ``Future`` is completed. Multiple callbacks can be added to 2024-04-03T16:54:26.3949833Z the same ``Future``, but the order in which they will be executed cannot 2024-04-03T16:54:26.3950578Z be guaranteed (to enforce a certain order consider chaining: 2024-04-03T16:54:26.3951309Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which 2024-04-03T16:54:26.3952053Z is the reference to this ``Future``. The callback function can use the 2024-04-03T16:54:26.3952779Z :meth:`value` method to get the value. Note that if this ``Future`` is 2024-04-03T16:54:26.3953522Z already completed, the given callback will be run immediately inline. 2024-04-03T16:54:26.3954073Z 2024-04-03T16:54:26.3954531Z If the ``Future``'s value contains tensors that reside on GPUs, the 2024-04-03T16:54:26.3955267Z callback might be invoked while the async kernels that are populating 2024-04-03T16:54:26.3956095Z those tensors haven't yet finished executing on the device. However, the 2024-04-03T16:54:26.3956833Z callback will be invoked with some dedicated streams set as current 2024-04-03T16:54:26.3957556Z (fetched from a global pool) which will be synchronized with those 2024-04-03T16:54:26.3958302Z kernels. Hence any operation performed by the callback on these tensors 2024-04-03T16:54:26.3959044Z will be scheduled on the device after the kernels complete. In other 2024-04-03T16:54:26.3959837Z words, as long as the callback doesn't switch streams, it can safely 2024-04-03T16:54:26.3960583Z manipulate the result without any additional synchronization. This is 2024-04-03T16:54:26.3961299Z similar to the non-blocking behavior of :meth:`wait`. 2024-04-03T16:54:26.3961742Z 2024-04-03T16:54:26.3962169Z Similarly, if the callback returns a value that contains tensors that 2024-04-03T16:54:26.3962909Z reside on a GPU, it can do so even if the kernels that are producing 2024-04-03T16:54:26.3963637Z these tensors are still running on the device, as long as the callback 2024-04-03T16:54:26.3964429Z didn't change streams during its execution. If one wants to change 2024-04-03T16:54:26.3965222Z streams, one must be careful to re-synchronize them with the original 2024-04-03T16:54:26.3965969Z streams, that is, those that were current when the callback was invoked. 2024-04-03T16:54:26.3966526Z 2024-04-03T16:54:26.3966755Z Args: 2024-04-03T16:54:26.3967166Z callback(``Callable``): a ``Callable`` that takes this ``Future`` as 2024-04-03T16:54:26.3967749Z the only argument. 2024-04-03T16:54:26.3968149Z 2024-04-03T16:54:26.3968366Z Returns: 2024-04-03T16:54:26.3968760Z A new ``Future`` object that holds the return value of the 2024-04-03T16:54:26.3969439Z ``callback`` and will be marked as completed when the given 2024-04-03T16:54:26.3969942Z ``callback`` finishes. 2024-04-03T16:54:26.3970274Z 2024-04-03T16:54:26.3970642Z .. note:: Note that if the callback function throws, either 2024-04-03T16:54:26.3971297Z through the original future being completed with an exception and 2024-04-03T16:54:26.3972007Z calling ``fut.wait()``, or through other code in the callback, the 2024-04-03T16:54:26.3972714Z future returned by ``then`` will be marked appropriately with the 2024-04-03T16:54:26.3973438Z encountered error. However, if this callback later completes 2024-04-03T16:54:26.3974201Z additional futures, those futures are not marked as completed with 2024-04-03T16:54:26.3974945Z an error and the user is responsible for handling completion/waiting 2024-04-03T16:54:26.3975547Z on those futures independently. 2024-04-03T16:54:26.3975917Z 2024-04-03T16:54:26.3976159Z Example:: 2024-04-03T16:54:26.3976523Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2024-04-03T16:54:26.3976984Z >>> def callback(fut): 2024-04-03T16:54:26.3977414Z ... print(f"RPC return value is {fut.wait()}.") 2024-04-03T16:54:26.3977904Z >>> fut = torch.futures.Future() 2024-04-03T16:54:26.3978416Z >>> # The inserted callback will print the return value when 2024-04-03T16:54:26.3979004Z >>> # receiving the response from "worker1" 2024-04-03T16:54:26.3979495Z >>> cb_fut = fut.then(callback) 2024-04-03T16:54:26.3979891Z >>> chain_cb_fut = cb_fut.then( 2024-04-03T16:54:26.3980378Z ... lambda x : print(f"Chained cb done. {x.wait()}") 2024-04-03T16:54:26.3980839Z ... ) 2024-04-03T16:54:26.3981100Z >>> fut.set_result(5) 2024-04-03T16:54:26.3981458Z RPC return value is 5. 2024-04-03T16:54:26.3981812Z Chained cb done. None 2024-04-03T16:54:26.3982243Z 2024-04-03T16:54:26.3982788Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.3983367Z 2024-04-03T16:54:26.3983601Z warnings.warn(msg) 2024-04-03T16:54:26.3983904Z 2024-04-03T16:54:26.3984238Z --- Parse Warning: 7 / 87 --- 2024-04-03T16:54:26.3985895Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.set_result in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py line=208. 2024-04-03T16:54:26.3987649Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.3988243Z 2024-04-03T16:54:26.3988660Z Set the result for this ``Future``, which will mark this ``Future`` as 2024-04-03T16:54:26.3989399Z completed and trigger all attached callbacks. Note that a ``Future`` 2024-04-03T16:54:26.3989983Z cannot be marked completed twice. 2024-04-03T16:54:26.3990352Z 2024-04-03T16:54:26.3990771Z If the result contains tensors that reside on GPUs, this method can be 2024-04-03T16:54:26.3991505Z called even if the asynchronous kernels that are populating those 2024-04-03T16:54:26.3992303Z tensors haven't yet completed running on the device, provided that the 2024-04-03T16:54:26.3993059Z streams on which those kernels were enqueued are set as the current ones 2024-04-03T16:54:26.3993876Z when this method is called. Put simply, it's safe to call this method 2024-04-03T16:54:26.3994603Z immediately after launching those kernels, without any additional 2024-04-03T16:54:26.3995396Z synchronization, as long as one doesn't change streams in between. This 2024-04-03T16:54:26.3996166Z method will record events on all the relevant current streams and will 2024-04-03T16:54:26.3996902Z use them to ensure proper scheduling for all the consumers of this 2024-04-03T16:54:26.3997426Z ``Future``. 2024-04-03T16:54:26.3997686Z 2024-04-03T16:54:26.3997985Z Args: 2024-04-03T16:54:26.3998331Z result (object): the result object of this ``Future``. 2024-04-03T16:54:26.3998796Z 2024-04-03T16:54:26.3999034Z Example:: 2024-04-03T16:54:26.3999384Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2024-04-03T16:54:26.3999854Z >>> import threading 2024-04-03T16:54:26.4000188Z >>> import time 2024-04-03T16:54:26.4000527Z >>> def slow_set_future(fut, value): 2024-04-03T16:54:26.4000943Z ... time.sleep(0.5) 2024-04-03T16:54:26.4001309Z ... fut.set_result(value) 2024-04-03T16:54:26.4001705Z >>> fut = torch.futures.Future() 2024-04-03T16:54:26.4002160Z >>> t = threading.Thread( 2024-04-03T16:54:26.4002548Z ... target=slow_set_future, 2024-04-03T16:54:26.4002953Z ... args=(fut, torch.ones(2) * 3) 2024-04-03T16:54:26.4003347Z ... ) 2024-04-03T16:54:26.4003605Z >>> t.start() 2024-04-03T16:54:26.4003897Z >>> print(fut.wait()) 2024-04-03T16:54:26.4004253Z tensor([3., 3.]) 2024-04-03T16:54:26.4004562Z >>> t.join() 2024-04-03T16:54:26.4004825Z 2024-04-03T16:54:26.4005347Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4005926Z 2024-04-03T16:54:26.4006159Z warnings.warn(msg) 2024-04-03T16:54:26.4006459Z 2024-04-03T16:54:26.4006789Z --- Parse Warning: 8 / 87 --- 2024-04-03T16:54:26.4008390Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py line=190. 2024-04-03T16:54:26.4010092Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4010815Z Return the sum of each row of the given sparse tensor. 2024-04-03T16:54:26.4011282Z 2024-04-03T16:54:26.4011731Z Returns the sum of each row of the sparse tensor :attr:`input` in the given 2024-04-03T16:54:26.4012488Z dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions, 2024-04-03T16:54:26.4013206Z reduce over all of them. When sum over all ``sparse_dim``, this method 2024-04-03T16:54:26.4013851Z returns a dense tensor instead of a sparse tensor. 2024-04-03T16:54:26.4014399Z 2024-04-03T16:54:26.4014901Z All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output 2024-04-03T16:54:26.4015673Z tensor having :attr:`dim` fewer dimensions than :attr:`input`. 2024-04-03T16:54:26.4016191Z 2024-04-03T16:54:26.4016620Z During backward, only gradients at ``nnz`` locations of :attr:`input` 2024-04-03T16:54:26.4017390Z will propagate back. Note that the gradients of :attr:`input` is coalesced. 2024-04-03T16:54:26.4017971Z 2024-04-03T16:54:26.4018202Z Args: 2024-04-03T16:54:26.4018516Z input (Tensor): the input sparse tensor 2024-04-03T16:54:26.4019246Z dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce 2024-04-03T16:54:26.4019921Z over all dims. 2024-04-03T16:54:26.4020491Z dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor. 2024-04-03T16:54:26.4021157Z Default: dtype of :attr:`input`. 2024-04-03T16:54:26.4021558Z 2024-04-03T16:54:26.4021783Z Example:: 2024-04-03T16:54:26.4022189Z 2024-04-03T16:54:26.4022430Z >>> nnz = 3 2024-04-03T16:54:26.4022736Z >>> dims = [5, 5, 2, 3] 2024-04-03T16:54:26.4023220Z >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)), 2024-04-03T16:54:26.4023862Z torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz) 2024-04-03T16:54:26.4024445Z >>> V = torch.randn(nnz, dims[2], dims[3]) 2024-04-03T16:54:26.4024903Z >>> size = torch.Size(dims) 2024-04-03T16:54:26.4025442Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-04-03T16:54:26.4026025Z >>> S = torch.sparse_coo_tensor(I, V, size) 2024-04-03T16:54:26.4026443Z >>> S 2024-04-03T16:54:26.4026760Z tensor(indices=tensor([[2, 0, 3], 2024-04-03T16:54:26.4027200Z [2, 4, 1]]), 2024-04-03T16:54:26.4027715Z values=tensor([[[-0.6438, -1.6467, 1.4004], 2024-04-03T16:54:26.4028274Z [ 0.3411, 0.0918, -0.2312]], 2024-04-03T16:54:26.4028691Z 2024-04-03T16:54:26.4029032Z [[ 0.5348, 0.0634, -2.0494], 2024-04-03T16:54:26.4029563Z [-0.7125, -1.0646, 2.1844]], 2024-04-03T16:54:26.4030013Z 2024-04-03T16:54:26.4030352Z [[ 0.1276, 0.1874, -0.6334], 2024-04-03T16:54:26.4030890Z [-1.9682, -0.5340, 0.7483]]]), 2024-04-03T16:54:26.4031414Z size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo) 2024-04-03T16:54:26.4031854Z 2024-04-03T16:54:26.4032261Z # when sum over only part of sparse_dims, return a sparse tensor 2024-04-03T16:54:26.4032835Z >>> torch.sparse.sum(S, [1, 3]) 2024-04-03T16:54:26.4033271Z tensor(indices=tensor([[0, 2, 3]]), 2024-04-03T16:54:26.4033779Z values=tensor([[-1.4512, 0.4073], 2024-04-03T16:54:26.4034280Z [-0.8901, 0.2017], 2024-04-03T16:54:26.4034805Z [-0.3183, -1.7539]]), 2024-04-03T16:54:26.4035330Z size=(5, 2), nnz=3, layout=torch.sparse_coo) 2024-04-03T16:54:26.4035768Z 2024-04-03T16:54:26.4036103Z # when sum over all sparse dim, return a dense tensor 2024-04-03T16:54:26.4036603Z # with summed dims squeezed 2024-04-03T16:54:26.4037036Z >>> torch.sparse.sum(S, [0, 1, 3]) 2024-04-03T16:54:26.4037496Z tensor([-2.6596, -1.1450]) 2024-04-03T16:54:26.4037858Z 2024-04-03T16:54:26.4038399Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4038969Z 2024-04-03T16:54:26.4039214Z warnings.warn(msg) 2024-04-03T16:54:26.4039513Z 2024-04-03T16:54:26.4039832Z --- Parse Warning: 9 / 87 --- 2024-04-03T16:54:26.4041400Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/apis.py line=28. 2024-04-03T16:54:26.4043067Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4043660Z 2024-04-03T16:54:26.4044085Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2024-04-03T16:54:26.4044822Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2024-04-03T16:54:26.4045559Z pushes the map into PyTorch operations called by ``func``, effectively 2024-04-03T16:54:26.4046143Z vectorizing those operations. 2024-04-03T16:54:26.4046493Z 2024-04-03T16:54:26.4046927Z vmap is useful for handling batch dimensions: one can write a function 2024-04-03T16:54:26.4047658Z ``func`` that runs on examples and then lift it to a function that can 2024-04-03T16:54:26.4048384Z take batches of examples with ``vmap(func)``. vmap can also be used to 2024-04-03T16:54:26.4049052Z compute batched gradients when composed with autograd. 2024-04-03T16:54:26.4049506Z 2024-04-03T16:54:26.4049740Z .. note:: 2024-04-03T16:54:26.4050148Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2024-04-03T16:54:26.4050765Z convenience. Use whichever one you'd like. 2024-04-03T16:54:26.4051190Z 2024-04-03T16:54:26.4051415Z Args: 2024-04-03T16:54:26.4051836Z func (function): A Python function that takes one or more arguments. 2024-04-03T16:54:26.4052433Z Must return one or more Tensors. 2024-04-03T16:54:26.4053023Z in_dims (int or nested structure): Specifies which dimension of the 2024-04-03T16:54:26.4053724Z inputs should be mapped over. ``in_dims`` should have a 2024-04-03T16:54:26.4054466Z structure like the inputs. If the ``in_dim`` for a particular 2024-04-03T16:54:26.4055148Z input is None, then that indicates there is no map dimension. 2024-04-03T16:54:26.4055677Z Default: 0. 2024-04-03T16:54:26.4056144Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2024-04-03T16:54:26.4056847Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2024-04-03T16:54:26.4057521Z it should have one element per output. Default: 0. 2024-04-03T16:54:26.4058114Z randomness (str): Specifies whether the randomness in this 2024-04-03T16:54:26.4058879Z vmap should be the same or different across batches. If 'different', 2024-04-03T16:54:26.4059666Z the randomness for each batch will be different. If 'same', the 2024-04-03T16:54:26.4060444Z randomness will be the same across batches. If 'error', any calls to 2024-04-03T16:54:26.4061252Z random functions will error. Default: 'error'. WARNING: this flag 2024-04-03T16:54:26.4061966Z only applies to random PyTorch operations and does not apply to 2024-04-03T16:54:26.4062746Z Python's random module or numpy randomness. 2024-04-03T16:54:26.4063463Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2024-04-03T16:54:26.4064306Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2024-04-03T16:54:26.4065226Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2024-04-03T16:54:26.4066186Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2024-04-03T16:54:26.4066814Z 2024-04-03T16:54:26.4067046Z Returns: 2024-04-03T16:54:26.4067455Z Returns a new "batched" function. It takes the same inputs as 2024-04-03T16:54:26.4068125Z ``func``, except each input has an extra dimension at the index 2024-04-03T16:54:26.4068793Z specified by ``in_dims``. It takes returns the same outputs as 2024-04-03T16:54:26.4069450Z ``func``, except each output has an extra dimension at the index 2024-04-03T16:54:26.4069989Z specified by ``out_dims``. 2024-04-03T16:54:26.4070337Z 2024-04-03T16:54:26.4070557Z .. warning: 2024-04-03T16:54:26.4071063Z :func:`vmap` works best with functional-style code. Please do not 2024-04-03T16:54:26.4071798Z perform any side-effects in ``func``, with the exception of 2024-04-03T16:54:26.4072569Z in-place PyTorch operations. Examples of side-effects include mutating 2024-04-03T16:54:26.4073346Z Python data structures and assigning values to variables not captured 2024-04-03T16:54:26.4073908Z in ``func``. 2024-04-03T16:54:26.4074183Z 2024-04-03T16:54:26.4074649Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2024-04-03T16:54:26.4075501Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2024-04-03T16:54:26.4076242Z rummaging through docs, use :func:`vmap` to construct a new function. 2024-04-03T16:54:26.4076782Z 2024-04-03T16:54:26.4077172Z >>> torch.dot # [D], [D] -> [] 2024-04-03T16:54:26.4077854Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2024-04-03T16:54:26.4078469Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2024-04-03T16:54:26.4078916Z >>> batched_dot(x, y) 2024-04-03T16:54:26.4079223Z 2024-04-03T16:54:26.4079681Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2024-04-03T16:54:26.4080290Z model authoring experience. 2024-04-03T16:54:26.4080616Z 2024-04-03T16:54:26.4080887Z >>> batch_size, feature_size = 3, 5 2024-04-03T16:54:26.4081416Z >>> weights = torch.randn(feature_size, requires_grad=True) 2024-04-03T16:54:26.4081931Z >>> 2024-04-03T16:54:26.4082205Z >>> def model(feature_vec): 2024-04-03T16:54:26.4082653Z >>> # Very simple linear model with activation 2024-04-03T16:54:26.4083150Z >>> return feature_vec.dot(weights).relu() 2024-04-03T16:54:26.4083575Z >>> 2024-04-03T16:54:26.4083928Z >>> examples = torch.randn(batch_size, feature_size) 2024-04-03T16:54:26.4084435Z >>> result = torch.vmap(model)(examples) 2024-04-03T16:54:26.4084851Z 2024-04-03T16:54:26.4085339Z :func:`vmap` can also help vectorize computations that were previously difficult 2024-04-03T16:54:26.4086273Z or impossible to batch. One example is higher-order gradient computation. 2024-04-03T16:54:26.4087120Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2024-04-03T16:54:26.4087961Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2024-04-03T16:54:26.4088768Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2024-04-03T16:54:26.4089600Z we can vectorize the whole computation, computing the Jacobian in a single 2024-04-03T16:54:26.4090210Z call to ``autograd.grad``. 2024-04-03T16:54:26.4090535Z 2024-04-03T16:54:26.4090775Z >>> # Setup 2024-04-03T16:54:26.4091062Z >>> N = 5 2024-04-03T16:54:26.4091348Z >>> f = lambda x: x ** 2 2024-04-03T16:54:26.4091803Z >>> x = torch.randn(N, requires_grad=True) 2024-04-03T16:54:26.4092262Z >>> y = f(x) 2024-04-03T16:54:26.4092554Z >>> I_N = torch.eye(N) 2024-04-03T16:54:26.4092885Z >>> 2024-04-03T16:54:26.4093168Z >>> # Sequential approach 2024-04-03T16:54:26.4093699Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2024-04-03T16:54:26.4094384Z >>> for v in I_N.unbind()] 2024-04-03T16:54:26.4094865Z >>> jacobian = torch.stack(jacobian_rows) 2024-04-03T16:54:26.4095266Z >>> 2024-04-03T16:54:26.4095571Z >>> # vectorized gradient computation 2024-04-03T16:54:26.4095990Z >>> def get_vjp(v): 2024-04-03T16:54:26.4096364Z >>> return torch.autograd.grad(y, x, v) 2024-04-03T16:54:26.4096851Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2024-04-03T16:54:26.4097251Z 2024-04-03T16:54:26.4097761Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2024-04-03T16:54:26.4098376Z 2024-04-03T16:54:26.4098769Z >>> torch.dot # [D], [D] -> [] 2024-04-03T16:54:26.4099590Z >>> batched_dot = torch.vmap(torch.vmap(torch.dot)) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2024-04-03T16:54:26.4100311Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2024-04-03T16:54:26.4100830Z >>> batched_dot(x, y) # tensor of size [2, 3] 2024-04-03T16:54:26.4101249Z 2024-04-03T16:54:26.4101706Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2024-04-03T16:54:26.4102526Z the dimension that each inputs are batched along as 2024-04-03T16:54:26.4102978Z 2024-04-03T16:54:26.4103354Z >>> torch.dot # [N], [N] -> [] 2024-04-03T16:54:26.4104080Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2024-04-03T16:54:26.4104728Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2024-04-03T16:54:26.4105389Z >>> batched_dot(x, y) # output is [5] instead of [2] if batched along the 0th dimension 2024-04-03T16:54:26.4105987Z 2024-04-03T16:54:26.4106477Z If there are multiple inputs each of which is batched along different dimensions, 2024-04-03T16:54:26.4107266Z ``in_dims`` must be a tuple with the batch dimension for each input as 2024-04-03T16:54:26.4107793Z 2024-04-03T16:54:26.4108177Z >>> torch.dot # [D], [D] -> [] 2024-04-03T16:54:26.4108915Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2024-04-03T16:54:26.4109634Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2024-04-03T16:54:26.4110388Z >>> batched_dot(x, y) # second arg doesn't have a batch dim because in_dim[1] was None 2024-04-03T16:54:26.4110994Z 2024-04-03T16:54:26.4111457Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2024-04-03T16:54:26.4112096Z matching the shape of the input: 2024-04-03T16:54:26.4112468Z 2024-04-03T16:54:26.4112832Z >>> f = lambda dict: torch.dot(dict['x'], dict['y']) 2024-04-03T16:54:26.4113343Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2024-04-03T16:54:26.4113860Z >>> input = {'x': x, 'y': y} 2024-04-03T16:54:26.4114414Z >>> batched_dot = torch.vmap(f, in_dims=({'x': 0, 'y': None},)) 2024-04-03T16:54:26.4114929Z >>> batched_dot(input) 2024-04-03T16:54:26.4115255Z 2024-04-03T16:54:26.4115759Z By default, the output is batched along the first dimension. However, it can be batched 2024-04-03T16:54:26.4116467Z along any dimension by using ``out_dims`` 2024-04-03T16:54:26.4116867Z 2024-04-03T16:54:26.4117102Z >>> f = lambda x: x ** 2 2024-04-03T16:54:26.4117471Z >>> x = torch.randn(2, 5) 2024-04-03T16:54:26.4117889Z >>> batched_pow = torch.vmap(f, out_dims=1) 2024-04-03T16:54:26.4118323Z >>> batched_pow(x) # [5, 2] 2024-04-03T16:54:26.4118673Z 2024-04-03T16:54:26.4119247Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2024-04-03T16:54:26.4119944Z accept kwargs 2024-04-03T16:54:26.4120211Z 2024-04-03T16:54:26.4120461Z >>> x = torch.randn([2, 5]) 2024-04-03T16:54:26.4120833Z >>> def fn(x, scale=4.): 2024-04-03T16:54:26.4121200Z >>> return x * scale 2024-04-03T16:54:26.4121527Z >>> 2024-04-03T16:54:26.4121798Z >>> batched_pow = torch.vmap(fn) 2024-04-03T16:54:26.4122270Z >>> assert torch.allclose(batched_pow(x), x * 4) 2024-04-03T16:54:26.4122924Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2024-04-03T16:54:26.4123476Z 2024-04-03T16:54:26.4123713Z .. note:: 2024-04-03T16:54:26.4124240Z vmap does not provide general autobatching or handle variable-length 2024-04-03T16:54:26.4124811Z sequences out of the box. 2024-04-03T16:54:26.4125157Z 2024-04-03T16:54:26.4125681Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4126250Z 2024-04-03T16:54:26.4126573Z warnings.warn(msg) 2024-04-03T16:54:26.4127024Z 2024-04-03T16:54:26.4127513Z --- Parse Warning: 10 / 87 --- 2024-04-03T16:54:26.4130556Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_almost_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=329. 2024-04-03T16:54:26.4133687Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4134836Z 2024-04-03T16:54:26.4135550Z Raises an AssertionError if two items are not equal up to desired 2024-04-03T16:54:26.4136446Z precision. 2024-04-03T16:54:26.4136839Z 2024-04-03T16:54:26.4137453Z .. note:: It is recommended to use one of `assert_allclose`, 2024-04-03T16:54:26.4138554Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-04-03T16:54:26.4139731Z instead of this function for more consistent floating point 2024-04-03T16:54:26.4140618Z comparisons. 2024-04-03T16:54:26.4141160Z 2024-04-03T16:54:26.4141899Z The test verifies that the elements of `actual` and `desired` satisfy. 2024-04-03T16:54:26.4143001Z 2024-04-03T16:54:26.4143733Z ``abs(desired-actual) < float64(1.5 * 10**(-decimal))`` 2024-04-03T16:54:26.4144517Z 2024-04-03T16:54:26.4145289Z That is a looser test than originally documented, but agrees with what the 2024-04-03T16:54:26.4146819Z actual implementation in `assert_array_almost_equal` did up to rounding 2024-04-03T16:54:26.4148188Z vagaries. An exception is raised at conflicting values. For ndarrays this 2024-04-03T16:54:26.4149265Z delegates to assert_array_almost_equal 2024-04-03T16:54:26.4149931Z 2024-04-03T16:54:26.4150328Z Parameters 2024-04-03T16:54:26.4150825Z ---------- 2024-04-03T16:54:26.4151291Z actual : array_like 2024-04-03T16:54:26.4151847Z The object to check. 2024-04-03T16:54:26.4152411Z desired : array_like 2024-04-03T16:54:26.4152953Z The expected object. 2024-04-03T16:54:26.4153539Z decimal : int, optional 2024-04-03T16:54:26.4154240Z Desired precision, default is 7. 2024-04-03T16:54:26.4154942Z err_msg : str, optional 2024-04-03T16:54:26.4155684Z The error message to be printed in case of failure. 2024-04-03T16:54:26.4156527Z verbose : bool, optional 2024-04-03T16:54:26.4157406Z If True, the conflicting values are appended to the error message. 2024-04-03T16:54:26.4158386Z 2024-04-03T16:54:26.4158771Z Raises 2024-04-03T16:54:26.4159243Z ------ 2024-04-03T16:54:26.4159681Z AssertionError 2024-04-03T16:54:26.4160448Z If actual and desired are not equal up to specified precision. 2024-04-03T16:54:26.4161378Z 2024-04-03T16:54:26.4161771Z See Also 2024-04-03T16:54:26.4162246Z -------- 2024-04-03T16:54:26.4163138Z assert_allclose: Compare two array_like objects for equality with desired 2024-04-03T16:54:26.4164333Z relative and/or absolute precision. 2024-04-03T16:54:26.4165352Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-04-03T16:54:26.4166251Z 2024-04-03T16:54:26.4166629Z Examples 2024-04-03T16:54:26.4167098Z -------- 2024-04-03T16:54:26.4167718Z >>> from torch._numpy.testing import assert_almost_equal 2024-04-03T16:54:26.4168717Z >>> assert_almost_equal(2.3333333333333, 2.33333334) 2024-04-03T16:54:26.4169688Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10) 2024-04-03T16:54:26.4170613Z Traceback (most recent call last): 2024-04-03T16:54:26.4171284Z ... 2024-04-03T16:54:26.4171701Z AssertionError: 2024-04-03T16:54:26.4172267Z Arrays are not almost equal to 10 decimals 2024-04-03T16:54:26.4173002Z ACTUAL: 2.3333333333333 2024-04-03T16:54:26.4173554Z DESIRED: 2.33333334 2024-04-03T16:54:26.4174160Z 2024-04-03T16:54:26.4174733Z >>> assert_almost_equal(np.array([1.0,2.3333333333333]), 2024-04-03T16:54:26.4175641Z ... np.array([1.0,2.33333334]), decimal=9) 2024-04-03T16:54:26.4176432Z Traceback (most recent call last): 2024-04-03T16:54:26.4177101Z ... 2024-04-03T16:54:26.4177537Z AssertionError: 2024-04-03T16:54:26.4178133Z Arrays are not almost equal to 9 decimals 2024-04-03T16:54:26.4178824Z 2024-04-03T16:54:26.4179306Z Mismatched elements: 1 / 2 (50%) 2024-04-03T16:54:26.4180205Z Max absolute difference: 6.666699636781459e-09 2024-04-03T16:54:26.4181188Z Max relative difference: 2.8571569790287484e-09 2024-04-03T16:54:26.4182228Z x: torch.ndarray([1.0000, 2.3333], dtype=float64) 2024-04-03T16:54:26.4183100Z y: torch.ndarray([1.0000, 2.3333], dtype=float64) 2024-04-03T16:54:26.4183817Z 2024-04-03T16:54:26.4184174Z 2024-04-03T16:54:26.4185161Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4186194Z 2024-04-03T16:54:26.4186611Z warnings.warn(msg) 2024-04-03T16:54:26.4187119Z 2024-04-03T16:54:26.4187679Z --- Parse Warning: 11 / 87 --- 2024-04-03T16:54:26.4190791Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_approx_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=454. 2024-04-03T16:54:26.4193974Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4195180Z 2024-04-03T16:54:26.4195946Z Raises an AssertionError if two items are not equal up to significant 2024-04-03T16:54:26.4196915Z digits. 2024-04-03T16:54:26.4197304Z 2024-04-03T16:54:26.4197912Z .. note:: It is recommended to use one of `assert_allclose`, 2024-04-03T16:54:26.4199020Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-04-03T16:54:26.4200163Z instead of this function for more consistent floating point 2024-04-03T16:54:26.4201118Z comparisons. 2024-04-03T16:54:26.4201674Z 2024-04-03T16:54:26.4202431Z Given two numbers, check that they are approximately equal. 2024-04-03T16:54:26.4203632Z Approximately equal is defined as the number of significant digits 2024-04-03T16:54:26.4204634Z that agree. 2024-04-03T16:54:26.4205067Z 2024-04-03T16:54:26.4205464Z Parameters 2024-04-03T16:54:26.4205973Z ---------- 2024-04-03T16:54:26.4206428Z actual : scalar 2024-04-03T16:54:26.4206923Z The object to check. 2024-04-03T16:54:26.4207508Z desired : scalar 2024-04-03T16:54:26.4208019Z The expected object. 2024-04-03T16:54:26.4208601Z significant : int, optional 2024-04-03T16:54:26.4209267Z Desired precision, default is 7. 2024-04-03T16:54:26.4209974Z err_msg : str, optional 2024-04-03T16:54:26.4210806Z The error message to be printed in case of failure. 2024-04-03T16:54:26.4211725Z verbose : bool, optional 2024-04-03T16:54:26.4212620Z If True, the conflicting values are appended to the error message. 2024-04-03T16:54:26.4213657Z 2024-04-03T16:54:26.4214146Z Raises 2024-04-03T16:54:26.4214639Z ------ 2024-04-03T16:54:26.4215046Z AssertionError 2024-04-03T16:54:26.4215812Z If actual and desired are not equal up to specified precision. 2024-04-03T16:54:26.4216750Z 2024-04-03T16:54:26.4217103Z See Also 2024-04-03T16:54:26.4217597Z -------- 2024-04-03T16:54:26.4218407Z assert_allclose: Compare two array_like objects for equality with desired 2024-04-03T16:54:26.4219533Z relative and/or absolute precision. 2024-04-03T16:54:26.4220574Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-04-03T16:54:26.4221524Z 2024-04-03T16:54:26.4221917Z Examples 2024-04-03T16:54:26.4222604Z -------- 2024-04-03T16:54:26.4223690Z >>> np.testing.assert_approx_equal(0.12345677777777e-20, 0.1234567e-20) # doctest: +SKIP 2024-04-03T16:54:26.4225401Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345671e-20, # doctest: +SKIP 2024-04-03T16:54:26.4226614Z ... significant=8) 2024-04-03T16:54:26.4227965Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345672e-20, # doctest: +SKIP 2024-04-03T16:54:26.4229170Z ... significant=8) 2024-04-03T16:54:26.4229984Z Traceback (most recent call last): 2024-04-03T16:54:26.4230640Z ... 2024-04-03T16:54:26.4231086Z AssertionError: 2024-04-03T16:54:26.4231666Z Items are not equal to 8 significant digits: 2024-04-03T16:54:26.4232517Z ACTUAL: 1.234567e-21 2024-04-03T16:54:26.4233171Z DESIRED: 1.2345672e-21 2024-04-03T16:54:26.4233711Z 2024-04-03T16:54:26.4234293Z the evaluated condition that raises the exception is 2024-04-03T16:54:26.4235083Z 2024-04-03T16:54:26.4235856Z >>> abs(0.12345670e-20/1e-21 - 0.12345672e-20/1e-21) >= 10**-(8-1) 2024-04-03T16:54:26.4236688Z True 2024-04-03T16:54:26.4237053Z 2024-04-03T16:54:26.4237417Z 2024-04-03T16:54:26.4238365Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4239428Z 2024-04-03T16:54:26.4239837Z warnings.warn(msg) 2024-04-03T16:54:26.4240307Z 2024-04-03T16:54:26.4240874Z --- Parse Warning: 12 / 87 --- 2024-04-03T16:54:26.4243955Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=733. 2024-04-03T16:54:26.4247398Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4248465Z 2024-04-03T16:54:26.4249162Z Raises an AssertionError if two array_like objects are not equal. 2024-04-03T16:54:26.4250070Z 2024-04-03T16:54:26.4250822Z Given two array_like objects, check that the shape is equal and all 2024-04-03T16:54:26.4252142Z elements of these objects are equal (but see the Notes for the special 2024-04-03T16:54:26.4253544Z handling of a scalar). An exception is raised at shape mismatch or 2024-04-03T16:54:26.4254980Z conflicting values. In contrast to the standard usage in numpy, NaNs 2024-04-03T16:54:26.4256301Z are compared like numbers, no assertion is raised if both objects have 2024-04-03T16:54:26.4257348Z NaNs in the same positions. 2024-04-03T16:54:26.4257945Z 2024-04-03T16:54:26.4258694Z The usual caution for verifying equality with floating point numbers is 2024-04-03T16:54:26.4259689Z advised. 2024-04-03T16:54:26.4260108Z 2024-04-03T16:54:26.4260497Z Parameters 2024-04-03T16:54:26.4261027Z ---------- 2024-04-03T16:54:26.4261484Z x : array_like 2024-04-03T16:54:26.4261988Z The actual object to check. 2024-04-03T16:54:26.4262787Z y : array_like 2024-04-03T16:54:26.4263432Z The desired, expected object. 2024-04-03T16:54:26.4264164Z err_msg : str, optional 2024-04-03T16:54:26.4264899Z The error message to be printed in case of failure. 2024-04-03T16:54:26.4265772Z verbose : bool, optional 2024-04-03T16:54:26.4266639Z If True, the conflicting values are appended to the error message. 2024-04-03T16:54:26.4267642Z strict : bool, optional 2024-04-03T16:54:26.4271222Z If True, raise an AssertionError when either the shape or the data 2024-04-03T16:54:26.4272403Z type of the array_like objects does not match. The special 2024-04-03T16:54:26.4273619Z handling for scalars mentioned in the Notes section is disabled. 2024-04-03T16:54:26.4274541Z 2024-04-03T16:54:26.4274928Z Raises 2024-04-03T16:54:26.4275402Z ------ 2024-04-03T16:54:26.4275834Z AssertionError 2024-04-03T16:54:26.4276427Z If actual and desired objects are not equal. 2024-04-03T16:54:26.4277176Z 2024-04-03T16:54:26.4277582Z See Also 2024-04-03T16:54:26.4278079Z -------- 2024-04-03T16:54:26.4278895Z assert_allclose: Compare two array_like objects for equality with desired 2024-04-03T16:54:26.4280043Z relative and/or absolute precision. 2024-04-03T16:54:26.4281095Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-04-03T16:54:26.4282034Z 2024-04-03T16:54:26.4282396Z Notes 2024-04-03T16:54:26.4282834Z ----- 2024-04-03T16:54:26.4283552Z When one of `x` and `y` is a scalar and the other is array_like, the 2024-04-03T16:54:26.4284888Z function checks that each element of the array_like object is equal to 2024-04-03T16:54:26.4286251Z the scalar. This behaviour can be disabled with the `strict` parameter. 2024-04-03T16:54:26.4287242Z 2024-04-03T16:54:26.4287635Z Examples 2024-04-03T16:54:26.4288125Z -------- 2024-04-03T16:54:26.4288689Z The first assert does not raise an exception: 2024-04-03T16:54:26.4289437Z 2024-04-03T16:54:26.4290015Z >>> np.testing.assert_array_equal([1.0,2.33333,np.nan], 2024-04-03T16:54:26.4290954Z ... [np.exp(0),2.33333, np.nan]) 2024-04-03T16:54:26.4291675Z 2024-04-03T16:54:26.4292436Z Use `assert_allclose` or one of the nulp (number of floating point values) 2024-04-03T16:54:26.4293456Z functions for these cases instead: 2024-04-03T16:54:26.4294229Z 2024-04-03T16:54:26.4294801Z >>> np.testing.assert_allclose([1.0,np.pi,np.nan], 2024-04-03T16:54:26.4295720Z ... [1, np.sqrt(np.pi)**2, np.nan], 2024-04-03T16:54:26.4296855Z ... rtol=1e-10, atol=0) 2024-04-03T16:54:26.4297573Z 2024-04-03T16:54:26.4298282Z As mentioned in the Notes section, `assert_array_equal` has special 2024-04-03T16:54:26.4299609Z handling for scalars. Here the test checks that each value in `x` is 3: 2024-04-03T16:54:26.4300605Z 2024-04-03T16:54:26.4301044Z >>> x = np.full((2, 5), fill_value=3) 2024-04-03T16:54:26.4301802Z >>> np.testing.assert_array_equal(x, 3) 2024-04-03T16:54:26.4302686Z 2024-04-03T16:54:26.4303439Z Use `strict` to raise an AssertionError when comparing a scalar with an 2024-04-03T16:54:26.4304438Z array: 2024-04-03T16:54:26.4304953Z 2024-04-03T16:54:26.4305517Z >>> np.testing.assert_array_equal(x, 3, strict=True) 2024-04-03T16:54:26.4306421Z Traceback (most recent call last): 2024-04-03T16:54:26.4307087Z ... 2024-04-03T16:54:26.4307524Z AssertionError: 2024-04-03T16:54:26.4308059Z Arrays are not equal 2024-04-03T16:54:26.4308623Z 2024-04-03T16:54:26.4309093Z (shapes (2, 5), () mismatch) 2024-04-03T16:54:26.4309766Z x: torch.ndarray([[3, 3, 3, 3, 3], 2024-04-03T16:54:26.4310445Z [3, 3, 3, 3, 3]]) 2024-04-03T16:54:26.4310999Z y: torch.ndarray(3) 2024-04-03T16:54:26.4311516Z 2024-04-03T16:54:26.4312236Z The `strict` parameter also ensures that the array data types match: 2024-04-03T16:54:26.4313261Z 2024-04-03T16:54:26.4313749Z >>> x = np.array([2, 2, 2]) 2024-04-03T16:54:26.4314519Z >>> y = np.array([2., 2., 2.], dtype=np.float32) 2024-04-03T16:54:26.4315453Z >>> np.testing.assert_array_equal(x, y, strict=True) 2024-04-03T16:54:26.4316332Z Traceback (most recent call last): 2024-04-03T16:54:26.4317005Z ... 2024-04-03T16:54:26.4317443Z AssertionError: 2024-04-03T16:54:26.4317973Z Arrays are not equal 2024-04-03T16:54:26.4318519Z 2024-04-03T16:54:26.4319145Z (dtypes dtype("int64"), dtype("float32") mismatch) 2024-04-03T16:54:26.4319991Z x: torch.ndarray([2, 2, 2]) 2024-04-03T16:54:26.4320658Z y: torch.ndarray([2., 2., 2.]) 2024-04-03T16:54:26.4321275Z 2024-04-03T16:54:26.4322273Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4323343Z 2024-04-03T16:54:26.4323760Z warnings.warn(msg) 2024-04-03T16:54:26.4324293Z 2024-04-03T16:54:26.4324892Z --- Parse Warning: 13 / 87 --- 2024-04-03T16:54:26.4328023Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_almost_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=839. 2024-04-03T16:54:26.4331329Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4332434Z 2024-04-03T16:54:26.4333180Z Raises an AssertionError if two objects are not equal up to desired 2024-04-03T16:54:26.4334249Z precision. 2024-04-03T16:54:26.4334685Z 2024-04-03T16:54:26.4335330Z .. note:: It is recommended to use one of `assert_allclose`, 2024-04-03T16:54:26.4336455Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-04-03T16:54:26.4337658Z instead of this function for more consistent floating point 2024-04-03T16:54:26.4338592Z comparisons. 2024-04-03T16:54:26.4339119Z 2024-04-03T16:54:26.4339928Z The test verifies identical shapes and that the elements of ``actual`` and 2024-04-03T16:54:26.4340970Z ``desired`` satisfy. 2024-04-03T16:54:26.4341483Z 2024-04-03T16:54:26.4342296Z ``abs(desired-actual) < 1.5 * 10**(-decimal)`` 2024-04-03T16:54:26.4343046Z 2024-04-03T16:54:26.4343842Z That is a looser test than originally documented, but agrees with what the 2024-04-03T16:54:26.4345266Z actual implementation did up to rounding vagaries. An exception is raised 2024-04-03T16:54:26.4346670Z at shape mismatch or conflicting values. In contrast to the standard usage 2024-04-03T16:54:26.4348192Z in numpy, NaNs are compared like numbers, no assertion is raised if both 2024-04-03T16:54:26.4349355Z objects have NaNs in the same positions. 2024-04-03T16:54:26.4350064Z 2024-04-03T16:54:26.4350451Z Parameters 2024-04-03T16:54:26.4350995Z ---------- 2024-04-03T16:54:26.4351437Z x : array_like 2024-04-03T16:54:26.4351966Z The actual object to check. 2024-04-03T16:54:26.4352626Z y : array_like 2024-04-03T16:54:26.4353157Z The desired, expected object. 2024-04-03T16:54:26.4353832Z decimal : int, optional 2024-04-03T16:54:26.4354592Z Desired precision, default is 6. 2024-04-03T16:54:26.4355284Z err_msg : str, optional 2024-04-03T16:54:26.4356004Z The error message to be printed in case of failure. 2024-04-03T16:54:26.4356841Z verbose : bool, optional 2024-04-03T16:54:26.4357713Z If True, the conflicting values are appended to the error message. 2024-04-03T16:54:26.4358674Z 2024-04-03T16:54:26.4359071Z Raises 2024-04-03T16:54:26.4359547Z ------ 2024-04-03T16:54:26.4359949Z AssertionError 2024-04-03T16:54:26.4360725Z If actual and desired are not equal up to specified precision. 2024-04-03T16:54:26.4361570Z 2024-04-03T16:54:26.4361741Z See Also 2024-04-03T16:54:26.4361970Z -------- 2024-04-03T16:54:26.4362628Z assert_allclose: Compare two array_like objects for equality with desired 2024-04-03T16:54:26.4362991Z relative and/or absolute precision. 2024-04-03T16:54:26.4363459Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-04-03T16:54:26.4363631Z 2024-04-03T16:54:26.4363795Z Examples 2024-04-03T16:54:26.4364009Z -------- 2024-04-03T16:54:26.4364303Z the first assert does not raise an exception 2024-04-03T16:54:26.4364453Z 2024-04-03T16:54:26.4364843Z >>> np.testing.assert_array_almost_equal([1.0,2.333,np.nan], 2024-04-03T16:54:26.4365139Z ... [1.0,2.333,np.nan]) 2024-04-03T16:54:26.4365284Z 2024-04-03T16:54:26.4365656Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], 2024-04-03T16:54:26.4365962Z ... [1.0,2.33339,np.nan], decimal=5) 2024-04-03T16:54:26.4366206Z Traceback (most recent call last): 2024-04-03T16:54:26.4366367Z ... 2024-04-03T16:54:26.4366564Z AssertionError: 2024-04-03T16:54:26.4366828Z Arrays are not almost equal to 5 decimals 2024-04-03T16:54:26.4367002Z 2024-04-03T16:54:26.4367240Z Mismatched elements: 1 / 3 (33.3%) 2024-04-03T16:54:26.4367642Z Max absolute difference: 5.999999999994898e-05 2024-04-03T16:54:26.4368022Z Max relative difference: 2.5713661239633743e-05 2024-04-03T16:54:26.4368398Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2024-04-03T16:54:26.4368767Z y: torch.ndarray([1.0000, 2.3334, nan], dtype=float64) 2024-04-03T16:54:26.4368938Z 2024-04-03T16:54:26.4369337Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], 2024-04-03T16:54:26.4369638Z ... [1.0,2.33333, 5], decimal=5) 2024-04-03T16:54:26.4369899Z Traceback (most recent call last): 2024-04-03T16:54:26.4370061Z ... 2024-04-03T16:54:26.4370250Z AssertionError: 2024-04-03T16:54:26.4370536Z Arrays are not almost equal to 5 decimals 2024-04-03T16:54:26.4370724Z 2024-04-03T16:54:26.4370955Z x and y nan location mismatch: 2024-04-03T16:54:26.4371349Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2024-04-03T16:54:26.4371721Z y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64) 2024-04-03T16:54:26.4371874Z 2024-04-03T16:54:26.4372043Z 2024-04-03T16:54:26.4372744Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4372887Z 2024-04-03T16:54:26.4373086Z warnings.warn(msg) 2024-04-03T16:54:26.4373340Z 2024-04-03T16:54:26.4373698Z --- Parse Warning: 14 / 87 --- 2024-04-03T16:54:26.4376426Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=clear_and_catch_warnings in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1789. 2024-04-03T16:54:26.4377194Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4377727Z Context manager that resets warning registry for catching warnings 2024-04-03T16:54:26.4377879Z 2024-04-03T16:54:26.4378577Z Warnings can be slippery, because, whenever a warning is triggered, Python 2024-04-03T16:54:26.4379101Z adds a ``__warningregistry__`` member to the *calling* module. This makes 2024-04-03T16:54:26.4379662Z it impossible to retrigger the warning in this module, whatever you put in 2024-04-03T16:54:26.4380222Z the warnings filters. This context manager accepts a sequence of `modules` 2024-04-03T16:54:26.4380564Z as a keyword argument to its constructor and: 2024-04-03T16:54:26.4380714Z 2024-04-03T16:54:26.4381280Z * stores and removes any ``__warningregistry__`` entries in given `modules` 2024-04-03T16:54:26.4381454Z on entry; 2024-04-03T16:54:26.4381884Z * resets ``__warningregistry__`` to its previous state on exit. 2024-04-03T16:54:26.4382234Z 2024-04-03T16:54:26.4382943Z This makes it possible to trigger any warning afresh inside the context 2024-04-03T16:54:26.4383430Z manager without disturbing the state of warnings outside. 2024-04-03T16:54:26.4383605Z 2024-04-03T16:54:26.4384188Z For compatibility with Python 3.0, please consider all arguments to be 2024-04-03T16:54:26.4384469Z keyword-only. 2024-04-03T16:54:26.4384645Z 2024-04-03T16:54:26.4384814Z Parameters 2024-04-03T16:54:26.4385029Z ---------- 2024-04-03T16:54:26.4385254Z record : bool, optional 2024-04-03T16:54:26.4385689Z Specifies whether warnings should be captured by a custom 2024-04-03T16:54:26.4386252Z implementation of ``warnings.showwarning()`` and be appended to a list 2024-04-03T16:54:26.4386790Z returned by the context manager. Otherwise None is returned by the 2024-04-03T16:54:26.4387299Z context manager. The objects appended to the list are arguments whose 2024-04-03T16:54:26.4387686Z attributes mirror the arguments to ``showwarning()``. 2024-04-03T16:54:26.4387911Z modules : sequence, optional 2024-04-03T16:54:26.4388433Z Sequence of modules for which to reset warnings registry on entry and 2024-04-03T16:54:26.4389032Z restore on exit. To work correctly, all 'ignore' filters should 2024-04-03T16:54:26.4389280Z filter by one of these modules. 2024-04-03T16:54:26.4389430Z 2024-04-03T16:54:26.4389616Z Examples 2024-04-03T16:54:26.4389830Z -------- 2024-04-03T16:54:26.4390026Z >>> import warnings 2024-04-03T16:54:26.4390490Z >>> with np.testing.clear_and_catch_warnings( # doctest: +SKIP 2024-04-03T16:54:26.4390768Z ... modules=[np.core.fromnumeric]): 2024-04-03T16:54:26.4391122Z ... warnings.simplefilter('always') 2024-04-03T16:54:26.4391779Z ... warnings.filterwarnings('ignore', module='np.core.fromnumeric') 2024-04-03T16:54:26.4392213Z ... # do something that raises a warning but ignore those in 2024-04-03T16:54:26.4392441Z ... # np.core.fromnumeric 2024-04-03T16:54:26.4392599Z 2024-04-03T16:54:26.4393332Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4393482Z 2024-04-03T16:54:26.4393658Z warnings.warn(msg) 2024-04-03T16:54:26.4393797Z 2024-04-03T16:54:26.4394168Z --- Parse Warning: 15 / 87 --- 2024-04-03T16:54:26.4396648Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Conv1d in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=272. 2024-04-03T16:54:26.4397548Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4398076Z Applies a 1D convolution over a quantized input signal composed of 2024-04-03T16:54:26.4398326Z several quantized input planes. 2024-04-03T16:54:26.4398489Z 2024-04-03T16:54:26.4399022Z For details on input arguments, parameters, and implementation see 2024-04-03T16:54:26.4399228Z :class:`~torch.nn.Conv1d`. 2024-04-03T16:54:26.4399385Z 2024-04-03T16:54:26.4399644Z .. note:: 2024-04-03T16:54:26.4400127Z Only `zeros` is supported for the :attr:`padding_mode` argument. 2024-04-03T16:54:26.4400289Z 2024-04-03T16:54:26.4400455Z .. note:: 2024-04-03T16:54:26.4400861Z Only `torch.quint8` is supported for the input data type. 2024-04-03T16:54:26.4401029Z 2024-04-03T16:54:26.4401176Z 2024-04-03T16:54:26.4401350Z Attributes: 2024-04-03T16:54:26.4401873Z weight (Tensor): packed tensor derived from the learnable weight 2024-04-03T16:54:26.4402088Z parameter. 2024-04-03T16:54:26.4402426Z scale (Tensor): scalar for the output scale 2024-04-03T16:54:26.4402877Z zero_point (Tensor): scalar for the output zero point 2024-04-03T16:54:26.4403069Z 2024-04-03T16:54:26.4403416Z See :class:`~torch.nn.Conv1d` for other attributes. 2024-04-03T16:54:26.4403589Z 2024-04-03T16:54:26.4403784Z Examples:: 2024-04-03T16:54:26.4403946Z 2024-04-03T16:54:26.4404313Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE) 2024-04-03T16:54:26.4404641Z >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2) 2024-04-03T16:54:26.4404927Z >>> input = torch.randn(20, 16, 100) 2024-04-03T16:54:26.4405179Z >>> # quantize input to quint8 2024-04-03T16:54:26.4405396Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4405929Z >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, 2024-04-03T16:54:26.4406248Z ... dtype=torch.quint8) 2024-04-03T16:54:26.4406460Z >>> output = m(q_input) 2024-04-03T16:54:26.4406631Z 2024-04-03T16:54:26.4406793Z 2024-04-03T16:54:26.4407519Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4407683Z 2024-04-03T16:54:26.4407880Z warnings.warn(msg) 2024-04-03T16:54:26.4408037Z 2024-04-03T16:54:26.4408392Z --- Parse Warning: 16 / 87 --- 2024-04-03T16:54:26.4410818Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LSTM in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=8. 2024-04-03T16:54:26.4411593Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4411959Z A quantized long short-term memory (LSTM). 2024-04-03T16:54:26.4412104Z 2024-04-03T16:54:26.4412802Z For the description and the argument types, please, refer to :class:`~torch.nn.LSTM` 2024-04-03T16:54:26.4412951Z 2024-04-03T16:54:26.4413140Z Attributes: 2024-04-03T16:54:26.4413431Z layers : instances of the `_LSTMLayer` 2024-04-03T16:54:26.4413576Z 2024-04-03T16:54:26.4413752Z .. note:: 2024-04-03T16:54:26.4414429Z To access the weights and biases, you need to access them per layer. 2024-04-03T16:54:26.4414903Z See examples in :class:`~torch.ao.nn.quantizable.LSTM` 2024-04-03T16:54:26.4415058Z 2024-04-03T16:54:26.4415256Z Examples:: 2024-04-03T16:54:26.4415457Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4415682Z >>> custom_module_config = { 2024-04-03T16:54:26.4416269Z ... 'float_to_observed_custom_module_class': { 2024-04-03T16:54:26.4416543Z ... nn.LSTM: nn.quantizable.LSTM, 2024-04-03T16:54:26.4416707Z ... }, 2024-04-03T16:54:26.4417178Z ... 'observed_to_quantized_custom_module_class': { 2024-04-03T16:54:26.4417511Z ... nn.quantizable.LSTM: nn.quantized.LSTM, 2024-04-03T16:54:26.4417694Z ... } 2024-04-03T16:54:26.4417861Z ... } 2024-04-03T16:54:26.4418389Z >>> tq.prepare(model, prepare_custom_module_class=custom_module_config) 2024-04-03T16:54:26.4419001Z >>> tq.convert(model, convert_custom_module_class=custom_module_config) 2024-04-03T16:54:26.4419169Z 2024-04-03T16:54:26.4419915Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4420083Z 2024-04-03T16:54:26.4420278Z warnings.warn(msg) 2024-04-03T16:54:26.4420427Z 2024-04-03T16:54:26.4420812Z --- Parse Warning: 17 / 87 --- 2024-04-03T16:54:26.4424036Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229. 2024-04-03T16:54:26.4424854Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4425351Z Squashes the sparse masks into the appropriate tensors. 2024-04-03T16:54:26.4440688Z 2024-04-03T16:54:26.4441296Z If either the `params_to_keep` or `params_to_keep_per_layer` is set, 2024-04-03T16:54:26.4441751Z the module will have a `sparse_params` dict attached to it. 2024-04-03T16:54:26.4441921Z 2024-04-03T16:54:26.4442087Z Args: 2024-04-03T16:54:26.4442518Z params_to_keep: List of keys to save in the module or a dict 2024-04-03T16:54:26.4442918Z representing the modules and keys that will have 2024-04-03T16:54:26.4443214Z sparsity parameters saved 2024-04-03T16:54:26.4443724Z params_to_keep_per_layer: Dict to specify the params that should be 2024-04-03T16:54:26.4444095Z saved for specific layers. The keys in the dict 2024-04-03T16:54:26.4444485Z should be the module fqn, while the values should 2024-04-03T16:54:26.4444894Z be a list of strings with the names of the variables 2024-04-03T16:54:26.4445171Z to save in the `sparse_params` 2024-04-03T16:54:26.4445313Z 2024-04-03T16:54:26.4445496Z Examples: 2024-04-03T16:54:26.4445802Z >>> # xdoctest: +SKIP("locals are undefined") 2024-04-03T16:54:26.4446176Z >>> # Don't save any sparse params 2024-04-03T16:54:26.4446433Z >>> sparsifier.squash_mask() 2024-04-03T16:54:26.4446874Z >>> hasattr(model.submodule1, 'sparse_params') 2024-04-03T16:54:26.4447033Z False 2024-04-03T16:54:26.4447191Z 2024-04-03T16:54:26.4447465Z >>> # Keep sparse params per layer 2024-04-03T16:54:26.4447708Z >>> sparsifier.squash_mask( 2024-04-03T16:54:26.4447973Z ... params_to_keep_per_layer={ 2024-04-03T16:54:26.4448403Z ... 'submodule1.linear1': ('foo', 'bar'), 2024-04-03T16:54:26.4448807Z ... 'submodule2.linear42': ('baz',) 2024-04-03T16:54:26.4448982Z ... }) 2024-04-03T16:54:26.4449344Z >>> print(model.submodule1.linear1.sparse_params) 2024-04-03T16:54:26.4449647Z {'foo': 42, 'bar': 24} 2024-04-03T16:54:26.4450016Z >>> print(model.submodule2.linear42.sparse_params) 2024-04-03T16:54:26.4450264Z {'baz': 0.1} 2024-04-03T16:54:26.4450425Z 2024-04-03T16:54:26.4450717Z >>> # Keep sparse params for all layers 2024-04-03T16:54:26.4451378Z >>> sparsifier.squash_mask(params_to_keep=('foo', 'bar')) 2024-04-03T16:54:26.4451744Z >>> print(model.submodule1.linear1.sparse_params) 2024-04-03T16:54:26.4452024Z {'foo': 42, 'bar': 24} 2024-04-03T16:54:26.4452390Z >>> print(model.submodule2.linear42.sparse_params) 2024-04-03T16:54:26.4452692Z {'foo': 42, 'bar': 24} 2024-04-03T16:54:26.4452840Z 2024-04-03T16:54:26.4453318Z >>> # Keep some sparse params for all layers, and specific ones for 2024-04-03T16:54:26.4453545Z >>> # some other layers 2024-04-03T16:54:26.4453881Z >>> sparsifier.squash_mask( 2024-04-03T16:54:26.4454367Z ... params_to_keep=('foo', 'bar'), 2024-04-03T16:54:26.4454635Z ... params_to_keep_per_layer={ 2024-04-03T16:54:26.4455037Z ... 'submodule2.linear42': ('baz',) 2024-04-03T16:54:26.4455231Z ... }) 2024-04-03T16:54:26.4455606Z >>> print(model.submodule1.linear1.sparse_params) 2024-04-03T16:54:26.4455889Z {'foo': 42, 'bar': 24} 2024-04-03T16:54:26.4456285Z >>> print(model.submodule2.linear42.sparse_params) 2024-04-03T16:54:26.4456622Z {'foo': 42, 'bar': 24, 'baz': 0.1} 2024-04-03T16:54:26.4456776Z 2024-04-03T16:54:26.4457546Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4457735Z 2024-04-03T16:54:26.4457917Z warnings.warn(msg) 2024-04-03T16:54:26.4458077Z 2024-04-03T16:54:26.4458444Z --- Parse Warning: 18 / 87 --- 2024-04-03T16:54:26.4461219Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DTypeConfig in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=175. 2024-04-03T16:54:26.4462208Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4462367Z 2024-04-03T16:54:26.4463007Z Config object that specifies the supported data types passed as arguments to 2024-04-03T16:54:26.4463562Z quantize ops in the reference model spec, for input and output activations, 2024-04-03T16:54:26.4463756Z weights, and biases. 2024-04-03T16:54:26.4463914Z 2024-04-03T16:54:26.4464291Z For example, consider the following reference model: 2024-04-03T16:54:26.4464446Z 2024-04-03T16:54:26.4464949Z quant1 - [dequant1 - fp32_linear - quant2] - dequant2 2024-04-03T16:54:26.4465105Z 2024-04-03T16:54:26.4465653Z The pattern in the square brackets refers to the reference pattern of 2024-04-03T16:54:26.4466218Z statically quantized linear. Setting the input dtype as `torch.quint8` 2024-04-03T16:54:26.4466792Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument 2024-04-03T16:54:26.4467360Z to the first quantize op (quant1). Similarly, setting the output dtype as 2024-04-03T16:54:26.4467897Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to 2024-04-03T16:54:26.4468129Z the second quantize op (quant2). 2024-04-03T16:54:26.4468295Z 2024-04-03T16:54:26.4468849Z Note that the dtype here does not refer to the interface dtypes of the 2024-04-03T16:54:26.4469363Z op. For example, the "input dtype" here is not the dtype of the input 2024-04-03T16:54:26.4469907Z tensor passed to the quantized linear op. Though it can still be the 2024-04-03T16:54:26.4470402Z same as the interface dtype, this is not always the case, e.g. the 2024-04-03T16:54:26.4470937Z interface dtype is fp32 in dynamic quantization but the "input dtype" 2024-04-03T16:54:26.4471472Z specified in the DTypeConfig would still be quint8. The semantics of 2024-04-03T16:54:26.4471994Z dtypes here are the same as the semantics of the dtypes specified in 2024-04-03T16:54:26.4472323Z the observers. 2024-04-03T16:54:26.4472483Z 2024-04-03T16:54:26.4473129Z These dtypes are matched against the ones specified in the user’s 2024-04-03T16:54:26.4473686Z QConfig. If there is a match, and the QConfig satisfies the constraints 2024-04-03T16:54:26.4474216Z specified in the DTypeConfig (if any), then we will quantize the given 2024-04-03T16:54:26.4474731Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and 2024-04-03T16:54:26.4474961Z the pattern will not be quantized. 2024-04-03T16:54:26.4475086Z 2024-04-03T16:54:26.4475236Z Example usage:: 2024-04-03T16:54:26.4475336Z 2024-04-03T16:54:26.4475560Z >>> # xdoctest: +SKIP(failing) 2024-04-03T16:54:26.4475700Z >>> dtype_config1 = DTypeConfig( 2024-04-03T16:54:26.4475845Z ... input_dtype=torch.quint8, 2024-04-03T16:54:26.4475980Z ... output_dtype=torch.quint8, 2024-04-03T16:54:26.4476108Z ... weight_dtype=torch.qint8, 2024-04-03T16:54:26.4476292Z ... bias_dtype=torch.float) 2024-04-03T16:54:26.4476430Z 2024-04-03T16:54:26.4476649Z >>> dtype_config2 = DTypeConfig( 2024-04-03T16:54:26.4476841Z ... input_dtype=DTypeWithConstraints( 2024-04-03T16:54:26.4476962Z ... dtype=torch.quint8, 2024-04-03T16:54:26.4477097Z ... quant_min_lower_bound=0, 2024-04-03T16:54:26.4477252Z ... quant_max_upper_bound=255, 2024-04-03T16:54:26.4477401Z ... ), 2024-04-03T16:54:26.4477613Z ... output_dtype=DTypeWithConstraints( 2024-04-03T16:54:26.4477734Z ... dtype=torch.quint8, 2024-04-03T16:54:26.4477869Z ... quant_min_lower_bound=0, 2024-04-03T16:54:26.4478021Z ... quant_max_upper_bound=255, 2024-04-03T16:54:26.4478114Z ... ), 2024-04-03T16:54:26.4478277Z ... weight_dtype=DTypeWithConstraints( 2024-04-03T16:54:26.4478407Z ... dtype=torch.qint8, 2024-04-03T16:54:26.4478627Z ... quant_min_lower_bound=-128, 2024-04-03T16:54:26.4478766Z ... quant_max_upper_bound=127, 2024-04-03T16:54:26.4478870Z ... ), 2024-04-03T16:54:26.4478993Z ... bias_dtype=torch.float) 2024-04-03T16:54:26.4479079Z 2024-04-03T16:54:26.4479221Z >>> dtype_config1.input_dtype 2024-04-03T16:54:26.4479322Z torch.quint8 2024-04-03T16:54:26.4479404Z 2024-04-03T16:54:26.4479544Z >>> dtype_config2.input_dtype 2024-04-03T16:54:26.4479646Z torch.quint8 2024-04-03T16:54:26.4479731Z 2024-04-03T16:54:26.4479922Z >>> dtype_config2.input_dtype_with_constraints 2024-04-03T16:54:26.4480619Z DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None) 2024-04-03T16:54:26.4480716Z 2024-04-03T16:54:26.4481110Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4481198Z 2024-04-03T16:54:26.4481320Z warnings.warn(msg) 2024-04-03T16:54:26.4481405Z 2024-04-03T16:54:26.4481609Z --- Parse Warning: 19 / 87 --- 2024-04-03T16:54:26.4483441Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=286. 2024-04-03T16:54:26.4483846Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4483932Z 2024-04-03T16:54:26.4484303Z Takes in optional filter values and generates two tables with desired information. 2024-04-03T16:54:26.4484389Z 2024-04-03T16:54:26.4484720Z The generated tables are presented in both a list-of-lists format 2024-04-03T16:54:26.4484817Z 2024-04-03T16:54:26.4485098Z The reason for the two tables are that they handle different things: 2024-04-03T16:54:26.4485360Z 1.) the first table handles all tensor level information 2024-04-03T16:54:26.4485651Z 2.) the second table handles and displays all channel based information 2024-04-03T16:54:26.4485740Z 2024-04-03T16:54:26.4486211Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2024-04-03T16:54:26.4487090Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2024-04-03T16:54:26.4488103Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2024-04-03T16:54:26.4488272Z 2024-04-03T16:54:26.4488564Z Tensor table columns: 2024-04-03T16:54:26.4489032Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2024-04-03T16:54:26.4489500Z ---- --------- --------- --------- --------- --------- 2024-04-03T16:54:26.4489654Z 2024-04-03T16:54:26.4489952Z Per-Channel table columns: 2024-04-03T16:54:26.4490498Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2024-04-03T16:54:26.4491005Z ---- --------- ------- --------- --------- --------- --------- 2024-04-03T16:54:26.4491174Z 2024-04-03T16:54:26.4491337Z Args: 2024-04-03T16:54:26.4491991Z feature_filter (str, optional): Filters the features presented to only those that 2024-04-03T16:54:26.4492321Z contain this filter substring 2024-04-03T16:54:26.4492768Z Default = "", results in all the features being printed 2024-04-03T16:54:26.4493418Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-04-03T16:54:26.4494171Z Default = "", results in all the modules in the reports to be visible in the table 2024-04-03T16:54:26.4494330Z 2024-04-03T16:54:26.4494578Z Returns a dictionary with two keys: 2024-04-03T16:54:26.4495024Z (Dict[str, Tuple[List, List]]) A dict containing two keys: 2024-04-03T16:54:26.4495317Z "tensor_level_info", "channel_level_info" 2024-04-03T16:54:26.4495579Z Each key maps to a tuple with: 2024-04-03T16:54:26.4495861Z A list of the headers of each table 2024-04-03T16:54:26.4496333Z A list of lists containing the table information row by row 2024-04-03T16:54:26.4496775Z The 0th index row will contain the headers of the columns 2024-04-03T16:54:26.4497061Z The rest of the rows will contain data 2024-04-03T16:54:26.4497212Z 2024-04-03T16:54:26.4497419Z Example Use: 2024-04-03T16:54:26.4497735Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:26.4498103Z >>> mod_report_visualizer.generate_filtered_tables( 2024-04-03T16:54:26.4498403Z ... feature_filter = "per_channel_min", 2024-04-03T16:54:26.4498643Z ... module_fqn_filter = "block1" 2024-04-03T16:54:26.4499310Z ... ) # generates table with per_channel_min info for all modules in block 1 of the model 2024-04-03T16:54:26.4499486Z 2024-04-03T16:54:26.4500222Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4500387Z 2024-04-03T16:54:26.4500583Z warnings.warn(msg) 2024-04-03T16:54:26.4500735Z 2024-04-03T16:54:26.4501128Z --- Parse Warning: 20 / 87 --- 2024-04-03T16:54:26.4504036Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=379. 2024-04-03T16:54:26.4504566Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4504671Z 2024-04-03T16:54:26.4505045Z Takes in optional filter values and prints out formatted tables of the information. 2024-04-03T16:54:26.4505241Z 2024-04-03T16:54:26.4505742Z The reason for the two tables printed out instead of one large one are that they handle different things: 2024-04-03T16:54:26.4505964Z 1.) the first table handles all tensor level information 2024-04-03T16:54:26.4506272Z 2.) the second table handles and displays all channel based information 2024-04-03T16:54:26.4506360Z 2024-04-03T16:54:26.4506827Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2024-04-03T16:54:26.4507386Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2024-04-03T16:54:26.4507909Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2024-04-03T16:54:26.4507999Z 2024-04-03T16:54:26.4508122Z Tensor table columns: 2024-04-03T16:54:26.4508384Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2024-04-03T16:54:26.4508630Z ---- --------- --------- --------- --------- --------- 2024-04-03T16:54:26.4508729Z 2024-04-03T16:54:26.4508886Z Per-Channel table columns: 2024-04-03T16:54:26.4508970Z 2024-04-03T16:54:26.4509286Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2024-04-03T16:54:26.4509554Z ---- --------- ------- --------- --------- --------- --------- 2024-04-03T16:54:26.4509651Z 2024-04-03T16:54:26.4509778Z Args: 2024-04-03T16:54:26.4510167Z feature_filter (str, optional): Filters the features presented to only those that 2024-04-03T16:54:26.4510315Z contain this filter substring 2024-04-03T16:54:26.4510535Z Default = "", results in all the features being printed 2024-04-03T16:54:26.4510881Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-04-03T16:54:26.4511237Z Default = "", results in all the modules in the reports to be visible in the table 2024-04-03T16:54:26.4511328Z 2024-04-03T16:54:26.4511428Z Example Use: 2024-04-03T16:54:26.4511615Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:26.4511830Z >>> mod_report_visualizer.generate_table_visualization( 2024-04-03T16:54:26.4511992Z ... feature_filter = "per_channel_min", 2024-04-03T16:54:26.4512142Z ... module_fqn_filter = "block1" 2024-04-03T16:54:26.4512234Z ... ) 2024-04-03T16:54:26.4512486Z >>> # prints out neatly formatted table with per_channel_min info 2024-04-03T16:54:26.4512671Z >>> # for all modules in block 1 of the model 2024-04-03T16:54:26.4512758Z 2024-04-03T16:54:26.4513166Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4513252Z 2024-04-03T16:54:26.4513362Z warnings.warn(msg) 2024-04-03T16:54:26.4513460Z 2024-04-03T16:54:26.4513663Z --- Parse Warning: 21 / 87 --- 2024-04-03T16:54:26.4515493Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=532. 2024-04-03T16:54:26.4515909Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4515996Z 2024-04-03T16:54:26.4516328Z Takes in a feature and optional module_filter and plots of the desired data. 2024-04-03T16:54:26.4516428Z 2024-04-03T16:54:26.4516800Z For per channel features, it averages the value across the channels and plots a point 2024-04-03T16:54:26.4517184Z per module. The reason for this is that for models with hundreds of channels, it can 2024-04-03T16:54:26.4517564Z be hard to differentiate one channel line from another, and so the point of generating 2024-04-03T16:54:26.4517935Z a single average point per module is to give a sense of general trends that encourage 2024-04-03T16:54:26.4518091Z further deep dives. 2024-04-03T16:54:26.4518180Z 2024-04-03T16:54:26.4518272Z Note: 2024-04-03T16:54:26.4518652Z Only features in the report that have tensor value data are plottable by this class 2024-04-03T16:54:26.4518867Z When the tensor information is plotted, it will plot: 2024-04-03T16:54:26.4519049Z idx as the x val, feature value as the y_val 2024-04-03T16:54:26.4519284Z When the channel information is plotted, it will plot: 2024-04-03T16:54:26.4519681Z the first idx of each module as the x val, feature value as the y_val [for each channel] 2024-04-03T16:54:26.4520050Z The reason for this is that we want to be able to compare values across the 2024-04-03T16:54:26.4520379Z channels for same layer, and it will be hard if values are staggered by idx 2024-04-03T16:54:26.4520603Z This means each module is represented by only 1 x value 2024-04-03T16:54:26.4520711Z Args: 2024-04-03T16:54:26.4521009Z feature_filter (str): Filters the features presented to only those that 2024-04-03T16:54:26.4521144Z contain this filter substring 2024-04-03T16:54:26.4521501Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-04-03T16:54:26.4521840Z Default = "", results in all the modules in the reports to be visible in the table 2024-04-03T16:54:26.4521926Z 2024-04-03T16:54:26.4522066Z Example Use: 2024-04-03T16:54:26.4522262Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:26.4522473Z >>> mod_report_visualizer.generate_plot_visualization( 2024-04-03T16:54:26.4522648Z ... feature_filter = "per_channel_min", 2024-04-03T16:54:26.4522786Z ... module_fqn_filter = "block1" 2024-04-03T16:54:26.4522889Z ... ) 2024-04-03T16:54:26.4523127Z >>> # outputs line plot of per_channel_min information for all 2024-04-03T16:54:26.4523442Z >>> # modules in block1 of model each channel gets it's own line, 2024-04-03T16:54:26.4523761Z >>> # and it's plotted across the in-order modules on the x-axis 2024-04-03T16:54:26.4523849Z 2024-04-03T16:54:26.4524236Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4524333Z 2024-04-03T16:54:26.4524442Z warnings.warn(msg) 2024-04-03T16:54:26.4524529Z 2024-04-03T16:54:26.4524742Z --- Parse Warning: 22 / 87 --- 2024-04-03T16:54:26.4526605Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=600. 2024-04-03T16:54:26.4527019Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4527106Z 2024-04-03T16:54:26.4527485Z Takes in a feature and optional module_filter and plots the histogram of desired data. 2024-04-03T16:54:26.4527585Z 2024-04-03T16:54:26.4527676Z Note: 2024-04-03T16:54:26.4528051Z Only features in the report that have tensor value data can be viewed as a histogram 2024-04-03T16:54:26.4528436Z If you want to plot a histogram from all the channel values of a specific feature for 2024-04-03T16:54:26.4528788Z a specific model, make sure to specify both the model and the feature properly 2024-04-03T16:54:26.4529141Z in the filters and you should be able to see a distribution of the channel data 2024-04-03T16:54:26.4529239Z 2024-04-03T16:54:26.4529332Z Args: 2024-04-03T16:54:26.4529681Z feature_filter (str, optional): Filters the features presented to only those that 2024-04-03T16:54:26.4529830Z contain this filter substring 2024-04-03T16:54:26.4530050Z Default = "", results in all the features being printed 2024-04-03T16:54:26.4530438Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-04-03T16:54:26.4530776Z Default = "", results in all the modules in the reports to be visible in the table 2024-04-03T16:54:26.4531080Z num_bins (int, optional): The number of bins to create the histogram with 2024-04-03T16:54:26.4531348Z Default = 10, the values will be split into 10 equal sized bins 2024-04-03T16:54:26.4531439Z 2024-04-03T16:54:26.4531541Z Example Use: 2024-04-03T16:54:26.4531668Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4532044Z >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization( 2024-04-03T16:54:26.4532236Z ... feature_filter = "per_channel_min", 2024-04-03T16:54:26.4532387Z ... module_fqn_filter = "block1" 2024-04-03T16:54:26.4532477Z ... ) 2024-04-03T16:54:26.4532857Z # outputs histogram of per_channel_min information for all modules in block1 of model 2024-04-03T16:54:26.4533202Z information is gathered across all channels for all modules in block 1 for the 2024-04-03T16:54:26.4533498Z per_channel_min and is displayed in a histogram of equally sized bins 2024-04-03T16:54:26.4533598Z 2024-04-03T16:54:26.4533988Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4534163Z 2024-04-03T16:54:26.4534287Z warnings.warn(msg) 2024-04-03T16:54:26.4534407Z 2024-04-03T16:54:26.4534634Z --- Parse Warning: 23 / 87 --- 2024-04-03T16:54:26.4536069Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=gather_object in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2461. 2024-04-03T16:54:26.4536471Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4536571Z 2024-04-03T16:54:26.4536858Z Gathers picklable objects from the whole group in a single process. 2024-04-03T16:54:26.4536945Z 2024-04-03T16:54:26.4537281Z Similar to :func:`gather`, but Python objects can be passed in. Note that the 2024-04-03T16:54:26.4537475Z object must be picklable in order to be gathered. 2024-04-03T16:54:26.4537562Z 2024-04-03T16:54:26.4537673Z Args: 2024-04-03T16:54:26.4537841Z obj (Any): Input object. Must be picklable. 2024-04-03T16:54:26.4538119Z object_gather_list (list[Any]): Output list. On the ``dst`` rank, it 2024-04-03T16:54:26.4538382Z should be correctly sized as the size of the group for this 2024-04-03T16:54:26.4538742Z collective and will contain the output. Must be ``None`` on non-dst 2024-04-03T16:54:26.4538873Z ranks. (default is ``None``) 2024-04-03T16:54:26.4539401Z dst (int, optional): Destination rank on global process group (regardless of ``group`` argument). (default is 0) 2024-04-03T16:54:26.4539702Z group: (ProcessGroup, optional): The process group to work on. If None, 2024-04-03T16:54:26.4539965Z the default process group will be used. Default is ``None``. 2024-04-03T16:54:26.4540054Z 2024-04-03T16:54:26.4540149Z Returns: 2024-04-03T16:54:26.4540420Z None. On the ``dst`` rank, ``object_gather_list`` will contain the 2024-04-03T16:54:26.4540542Z output of the collective. 2024-04-03T16:54:26.4540627Z 2024-04-03T16:54:26.4540947Z .. note:: Note that this API differs slightly from the gather collective 2024-04-03T16:54:26.4541257Z since it does not provide an async_op handle and thus will be a blocking 2024-04-03T16:54:26.4541354Z call. 2024-04-03T16:54:26.4541453Z 2024-04-03T16:54:26.4541833Z .. note:: For NCCL-based processed groups, internal tensor representations 2024-04-03T16:54:26.4542287Z of objects must be moved to the GPU device before communication takes 2024-04-03T16:54:26.4542498Z place. In this case, the device used is given by 2024-04-03T16:54:26.4542909Z ``torch.cuda.current_device()`` and it is the user's responsiblity to 2024-04-03T16:54:26.4543214Z ensure that this is set so that each rank has an individual GPU, via 2024-04-03T16:54:26.4543342Z ``torch.cuda.set_device()``. 2024-04-03T16:54:26.4543430Z 2024-04-03T16:54:26.4543543Z .. warning:: 2024-04-03T16:54:26.4543813Z :func:`gather_object` uses ``pickle`` module implicitly, which is 2024-04-03T16:54:26.4544120Z known to be insecure. It is possible to construct malicious pickle data 2024-04-03T16:54:26.4544421Z which will execute arbitrary code during unpickling. Only call this 2024-04-03T16:54:26.4544606Z function with data you trust. 2024-04-03T16:54:26.4544694Z 2024-04-03T16:54:26.4544810Z .. warning:: 2024-04-03T16:54:26.4545095Z Calling :func:`gather_object` with GPU tensors is not well supported 2024-04-03T16:54:26.4545465Z and inefficient as it incurs GPU -> CPU transfer since tensors would be 2024-04-03T16:54:26.4545702Z pickled. Please consider using :func:`gather` instead. 2024-04-03T16:54:26.4545791Z 2024-04-03T16:54:26.4545888Z Example:: 2024-04-03T16:54:26.4546083Z >>> # xdoctest: +SKIP("need process group init") 2024-04-03T16:54:26.4546324Z >>> # Note: Process group initialization omitted on each rank. 2024-04-03T16:54:26.4546488Z >>> import torch.distributed as dist 2024-04-03T16:54:26.4546652Z >>> # Assumes world_size of 3. 2024-04-03T16:54:26.4546925Z >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object 2024-04-03T16:54:26.4547098Z >>> output = [None for _ in gather_objects] 2024-04-03T16:54:26.4547214Z >>> dist.gather_object( 2024-04-03T16:54:26.4547366Z ... gather_objects[dist.get_rank()], 2024-04-03T16:54:26.4547557Z ... output if dist.get_rank() == 0 else None, 2024-04-03T16:54:26.4547656Z ... dst=0 2024-04-03T16:54:26.4547749Z ... ) 2024-04-03T16:54:26.4547860Z >>> # On rank 0 2024-04-03T16:54:26.4547955Z >>> output 2024-04-03T16:54:26.4548096Z ['foo', 12, {1: 2}] 2024-04-03T16:54:26.4548199Z 2024-04-03T16:54:26.4548586Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4548673Z 2024-04-03T16:54:26.4548795Z warnings.warn(msg) 2024-04-03T16:54:26.4548883Z 2024-04-03T16:54:26.4549084Z --- Parse Warning: 24 / 87 --- 2024-04-03T16:54:26.4550375Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/launch.py line=1. 2024-04-03T16:54:26.4550777Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4550877Z 2024-04-03T16:54:26.4551025Z Module ``torch.distributed.launch``. 2024-04-03T16:54:26.4551112Z 2024-04-03T16:54:26.4551458Z ``torch.distributed.launch`` is a module that spawns up multiple distributed 2024-04-03T16:54:26.4551649Z training processes on each of the training nodes. 2024-04-03T16:54:26.4551735Z 2024-04-03T16:54:26.4551848Z .. warning:: 2024-04-03T16:54:26.4551934Z 2024-04-03T16:54:26.4552364Z This module is going to be deprecated in favor of :ref:`torchrun `. 2024-04-03T16:54:26.4552461Z 2024-04-03T16:54:26.4552863Z The utility can be used for single-node distributed training, in which one or 2024-04-03T16:54:26.4553188Z more processes per node will be spawned. The utility can be used for either 2024-04-03T16:54:26.4553499Z CPU training or GPU training. If the utility is used for GPU training, 2024-04-03T16:54:26.4553832Z each distributed process will be operating on a single GPU. This can achieve 2024-04-03T16:54:26.4554205Z well-improved single-node training performance. It can also be used in 2024-04-03T16:54:26.4554619Z multi-node distributed training, by spawning up multiple processes on each node 2024-04-03T16:54:26.4555015Z for well-improved multi-node distributed training performance as well. 2024-04-03T16:54:26.4555328Z This will especially be beneficial for systems with multiple Infiniband 2024-04-03T16:54:26.4555731Z interfaces that have direct-GPU support, since all of them can be utilized for 2024-04-03T16:54:26.4555867Z aggregated communication bandwidth. 2024-04-03T16:54:26.4555966Z 2024-04-03T16:54:26.4556353Z In both cases of single-node distributed training or multi-node distributed 2024-04-03T16:54:26.4556698Z training, this utility will launch the given number of processes per node 2024-04-03T16:54:26.4557092Z (``--nproc-per-node``). If used for GPU training, this number needs to be less 2024-04-03T16:54:26.4557405Z or equal to the number of GPUs on the current system (``nproc_per_node``), 2024-04-03T16:54:26.4557690Z and each process will be operating on a single GPU from *GPU 0 to 2024-04-03T16:54:26.4557851Z GPU (nproc_per_node - 1)*. 2024-04-03T16:54:26.4557937Z 2024-04-03T16:54:26.4558066Z **How to use this module:** 2024-04-03T16:54:26.4558153Z 2024-04-03T16:54:26.4558397Z 1. Single-Node multi-process distributed training 2024-04-03T16:54:26.4558496Z 2024-04-03T16:54:26.4558586Z :: 2024-04-03T16:54:26.4558671Z 2024-04-03T16:54:26.4559090Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-04-03T16:54:26.4559435Z YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other 2024-04-03T16:54:26.4559599Z arguments of your training script) 2024-04-03T16:54:26.4559701Z 2024-04-03T16:54:26.4560040Z 2. Multi-Node multi-process distributed training: (e.g. two nodes) 2024-04-03T16:54:26.4560126Z 2024-04-03T16:54:26.4560226Z 2024-04-03T16:54:26.4560423Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)* 2024-04-03T16:54:26.4560520Z 2024-04-03T16:54:26.4560612Z :: 2024-04-03T16:54:26.4560697Z 2024-04-03T16:54:26.4561080Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-04-03T16:54:26.4561350Z --nnodes=2 --node-rank=0 --master-addr="192.168.1.1" 2024-04-03T16:54:26.4561682Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2024-04-03T16:54:26.4561899Z and all other arguments of your training script) 2024-04-03T16:54:26.4561989Z 2024-04-03T16:54:26.4562081Z Node 2: 2024-04-03T16:54:26.4562180Z 2024-04-03T16:54:26.4562269Z :: 2024-04-03T16:54:26.4562354Z 2024-04-03T16:54:26.4562735Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-04-03T16:54:26.4563000Z --nnodes=2 --node-rank=1 --master-addr="192.168.1.1" 2024-04-03T16:54:26.4563339Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2024-04-03T16:54:26.4563555Z and all other arguments of your training script) 2024-04-03T16:54:26.4563646Z 2024-04-03T16:54:26.4563874Z 3. To look up what optional arguments this module offers: 2024-04-03T16:54:26.4563974Z 2024-04-03T16:54:26.4564063Z :: 2024-04-03T16:54:26.4564148Z 2024-04-03T16:54:26.4564382Z python -m torch.distributed.launch --help 2024-04-03T16:54:26.4564470Z 2024-04-03T16:54:26.4564565Z 2024-04-03T16:54:26.4564680Z **Important Notices:** 2024-04-03T16:54:26.4564771Z 2024-04-03T16:54:26.4565088Z 1. This utility and multi-process distributed (single-node or 2024-04-03T16:54:26.4565481Z multi-node) GPU training currently only achieves the best performance using 2024-04-03T16:54:26.4565818Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to 2024-04-03T16:54:26.4565944Z use for GPU training. 2024-04-03T16:54:26.4566031Z 2024-04-03T16:54:26.4566390Z 2. In your training program, you must parse the command-line argument: 2024-04-03T16:54:26.4566797Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module. 2024-04-03T16:54:26.4567109Z If your training program uses GPUs, you should ensure that your code only 2024-04-03T16:54:26.4567382Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by: 2024-04-03T16:54:26.4567479Z 2024-04-03T16:54:26.4567607Z Parsing the local_rank argument 2024-04-03T16:54:26.4567694Z 2024-04-03T16:54:26.4567797Z :: 2024-04-03T16:54:26.4567885Z 2024-04-03T16:54:26.4568001Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4568125Z >>> import argparse 2024-04-03T16:54:26.4568292Z >>> parser = argparse.ArgumentParser() 2024-04-03T16:54:26.4568575Z >>> parser.add_argument("--local-rank", type=int) 2024-04-03T16:54:26.4568710Z >>> args = parser.parse_args() 2024-04-03T16:54:26.4568798Z 2024-04-03T16:54:26.4568969Z Set your device to local rank using either 2024-04-03T16:54:26.4569054Z 2024-04-03T16:54:26.4569145Z :: 2024-04-03T16:54:26.4569241Z 2024-04-03T16:54:26.4569510Z >>> torch.cuda.set_device(args.local_rank) # before your code runs 2024-04-03T16:54:26.4569598Z 2024-04-03T16:54:26.4569696Z or 2024-04-03T16:54:26.4569782Z 2024-04-03T16:54:26.4569870Z :: 2024-04-03T16:54:26.4569967Z 2024-04-03T16:54:26.4570143Z >>> with torch.cuda.device(args.local_rank): 2024-04-03T16:54:26.4570286Z >>> # your code to run 2024-04-03T16:54:26.4570420Z >>> ... 2024-04-03T16:54:26.4570506Z 2024-04-03T16:54:26.4570829Z 3. In your training program, you are supposed to call the following function 2024-04-03T16:54:26.4571178Z at the beginning to start the distributed backend. It is strongly recommended 2024-04-03T16:54:26.4571480Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work, 2024-04-03T16:54:26.4571756Z but ``env://`` is the one that is officially supported by this module. 2024-04-03T16:54:26.4571859Z 2024-04-03T16:54:26.4571949Z :: 2024-04-03T16:54:26.4572044Z 2024-04-03T16:54:26.4572373Z >>> torch.distributed.init_process_group(backend='YOUR BACKEND', 2024-04-03T16:54:26.4572616Z >>> init_method='env://') 2024-04-03T16:54:26.4572714Z 2024-04-03T16:54:26.4573038Z 4. In your training program, you can either use regular distributed functions 2024-04-03T16:54:26.4573370Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your 2024-04-03T16:54:26.4573659Z training program uses GPUs for training and you would like to use 2024-04-03T16:54:26.4573917Z :func:`torch.nn.parallel.DistributedDataParallel` module, 2024-04-03T16:54:26.4574130Z here is how to configure it. 2024-04-03T16:54:26.4574231Z 2024-04-03T16:54:26.4574321Z :: 2024-04-03T16:54:26.4574407Z 2024-04-03T16:54:26.4574683Z >>> model = torch.nn.parallel.DistributedDataParallel(model, 2024-04-03T16:54:26.4574883Z >>> device_ids=[args.local_rank], 2024-04-03T16:54:26.4575090Z >>> output_device=args.local_rank) 2024-04-03T16:54:26.4575190Z 2024-04-03T16:54:26.4575515Z Please ensure that ``device_ids`` argument is set to be the only GPU device id 2024-04-03T16:54:26.4575852Z that your code will be operating on. This is generally the local rank of the 2024-04-03T16:54:26.4576177Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``, 2024-04-03T16:54:26.4576476Z and ``output_device`` needs to be ``args.local_rank`` in order to use this 2024-04-03T16:54:26.4576582Z utility 2024-04-03T16:54:26.4576670Z 2024-04-03T16:54:26.4577015Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable 2024-04-03T16:54:26.4577316Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with 2024-04-03T16:54:26.4577682Z ``--use-env=True``. You must adjust the subprocess example above to replace 2024-04-03T16:54:26.4578037Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher 2024-04-03T16:54:26.4578326Z will not pass ``--local-rank`` when you specify this flag. 2024-04-03T16:54:26.4578414Z 2024-04-03T16:54:26.4578525Z .. warning:: 2024-04-03T16:54:26.4578609Z 2024-04-03T16:54:26.4578890Z ``local_rank`` is NOT globally unique: it is only unique per process 2024-04-03T16:54:26.4579230Z on a machine. Thus, don't use it to decide if you should, e.g., 2024-04-03T16:54:26.4579387Z write to a networked filesystem. See 2024-04-03T16:54:26.4579705Z https://github.com/pytorch/pytorch/issues/12042 for an example of 2024-04-03T16:54:26.4579995Z how things can go wrong if you don't do this correctly. 2024-04-03T16:54:26.4580079Z 2024-04-03T16:54:26.4580166Z 2024-04-03T16:54:26.4580265Z 2024-04-03T16:54:26.4580350Z 2024-04-03T16:54:26.4580735Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4580835Z 2024-04-03T16:54:26.4580946Z warnings.warn(msg) 2024-04-03T16:54:26.4581033Z 2024-04-03T16:54:26.4581245Z --- Parse Warning: 25 / 87 --- 2024-04-03T16:54:26.4582967Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=init_from_local_shards in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=343. 2024-04-03T16:54:26.4583436Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4583524Z 2024-04-03T16:54:26.4583845Z Creates an :class:`ShardedTensor` from local shards and the global metadata. 2024-04-03T16:54:26.4584056Z Needs to be called on all ranks in an SPMD fashion. 2024-04-03T16:54:26.4584146Z 2024-04-03T16:54:26.4584238Z Args: 2024-04-03T16:54:26.4584611Z local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list 2024-04-03T16:54:26.4584842Z of shards that represent the local shards on this rank. 2024-04-03T16:54:26.4585153Z global_size (int...): a list, tuple, or `torch.Size` of integers defining the 2024-04-03T16:54:26.4585325Z shape of the overall sharded tensor. 2024-04-03T16:54:26.4585413Z 2024-04-03T16:54:26.4585515Z Keyword args: 2024-04-03T16:54:26.4585867Z process_group (ProcessGroup, optional): The process group to work on. If None, 2024-04-03T16:54:26.4586034Z the default process group will be used. 2024-04-03T16:54:26.4586270Z init_rrefs (bool, optional): Whether or not to initialize 2024-04-03T16:54:26.4586547Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2024-04-03T16:54:26.4586811Z Need to initialize the RPC Framework if specified as ``True``. 2024-04-03T16:54:26.4586937Z Default: ``False``. 2024-04-03T16:54:26.4587029Z 2024-04-03T16:54:26.4587123Z Returns: 2024-04-03T16:54:26.4587336Z A :class:`ShardedTensor` object handle on this rank 2024-04-03T16:54:26.4587422Z 2024-04-03T16:54:26.4587508Z 2024-04-03T16:54:26.4587613Z Examples: 2024-04-03T16:54:26.4587954Z Suppose we want construct a sharded tensor on two ranks, global size = (10, 5), 2024-04-03T16:54:26.4588211Z each shard have a (5, 5) local tensor, we can do it like below: 2024-04-03T16:54:26.4588311Z 2024-04-03T16:54:26.4588408Z on rank 0: 2024-04-03T16:54:26.4588565Z >>> # xdoctest: +SKIP("not distributed") 2024-04-03T16:54:26.4588736Z >>> local_shard_metadata = ShardMetadata( 2024-04-03T16:54:26.4588862Z >>> shard_offsets=[0, 0], 2024-04-03T16:54:26.4588980Z >>> shard_lengths=[5, 5], 2024-04-03T16:54:26.4589122Z >>> placement="rank:0/cuda:0" 2024-04-03T16:54:26.4589211Z >>> ) 2024-04-03T16:54:26.4589477Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2024-04-03T16:54:26.4589768Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2024-04-03T16:54:26.4589853Z 2024-04-03T16:54:26.4589961Z on rank 1: 2024-04-03T16:54:26.4590117Z >>> # xdoctest: +SKIP("not distributed") 2024-04-03T16:54:26.4590273Z >>> local_shard_metadata = ShardMetadata( 2024-04-03T16:54:26.4590402Z >>> shard_offsets=[5, 0], 2024-04-03T16:54:26.4590523Z >>> shard_lengths=[5, 5], 2024-04-03T16:54:26.4590654Z >>> placement="rank:1/cuda:1" 2024-04-03T16:54:26.4590756Z >>> ) 2024-04-03T16:54:26.4591040Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2024-04-03T16:54:26.4591291Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2024-04-03T16:54:26.4591390Z 2024-04-03T16:54:26.4591785Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4591871Z 2024-04-03T16:54:26.4591993Z warnings.warn(msg) 2024-04-03T16:54:26.4592078Z 2024-04-03T16:54:26.4592276Z --- Parse Warning: 26 / 87 --- 2024-04-03T16:54:26.4593888Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=749. 2024-04-03T16:54:26.4594316Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4594441Z 2024-04-03T16:54:26.4594775Z Initialize a ShardedTensor given only one local tensor, global sharded tensor 2024-04-03T16:54:26.4594916Z size and sharding spec on each rank. 2024-04-03T16:54:26.4595016Z 2024-04-03T16:54:26.4595108Z Args: 2024-04-03T16:54:26.4595413Z local_tensor (Tensor): Single tensor of local shard stored in each rank. 2024-04-03T16:54:26.4595758Z sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): 2024-04-03T16:54:26.4595977Z The specification describing how to shard the Tensor. 2024-04-03T16:54:26.4596208Z global_size (Sequence[int]): Size of the sharded tensor. 2024-04-03T16:54:26.4596527Z process_group (ProcessGroup, optional): The process group to aggregate on. 2024-04-03T16:54:26.4596634Z Default: None 2024-04-03T16:54:26.4596872Z init_rrefs (bool, optional): Whether or not to initialize 2024-04-03T16:54:26.4597146Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2024-04-03T16:54:26.4597413Z Need to initialize the RPC Framework if specified as ``True``. 2024-04-03T16:54:26.4597537Z Default: ``False``. 2024-04-03T16:54:26.4597619Z 2024-04-03T16:54:26.4597712Z Returns: 2024-04-03T16:54:26.4598053Z A :class:`ShardedTensor` sharded based on the given sharding_spec with local 2024-04-03T16:54:26.4598205Z tensor stored in the current rank. 2024-04-03T16:54:26.4598292Z 2024-04-03T16:54:26.4598400Z Examples: 2024-04-03T16:54:26.4598512Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4598695Z >>> # All tensors below are of torch.int64 type. 2024-04-03T16:54:26.4598867Z >>> # We have 2 process groups, 2 ranks. 2024-04-03T16:54:26.4599104Z >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank 2024-04-03T16:54:26.4599379Z >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2])) 2024-04-03T16:54:26.4599486Z >>> local_tensor 2024-04-03T16:54:26.4599606Z tensor([[1, 2, 3, 4]]) # Rank 0 2024-04-03T16:54:26.4599740Z tensor([[3, 4, 5, 6]]) # Rank 1 2024-04-03T16:54:26.4599851Z >>> sharding_dim = 0 2024-04-03T16:54:26.4600007Z >>> sharding_spec = ChunkShardingSpec( 2024-04-03T16:54:26.4600133Z dim=sharding_dim, 2024-04-03T16:54:26.4600242Z placements=[ 2024-04-03T16:54:26.4600353Z "rank:0/cuda:0", 2024-04-03T16:54:26.4600505Z "rank:1/cuda:1", 2024-04-03T16:54:26.4600596Z ], 2024-04-03T16:54:26.4600689Z ) 2024-04-03T16:54:26.4601037Z >>> st = ShardedTensor._init_from_local_tensor(local_tensor, sharding_spec, [2, 4]) 2024-04-03T16:54:26.4601130Z >>> st 2024-04-03T16:54:26.4601235Z ShardedTensor( 2024-04-03T16:54:26.4601373Z ShardedTensorMetadata( 2024-04-03T16:54:26.4601491Z shards_metadata=[ 2024-04-03T16:54:26.4601843Z ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0), 2024-04-03T16:54:26.4602223Z ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1), 2024-04-03T16:54:26.4602318Z ], 2024-04-03T16:54:26.4602451Z size=torch.Size([2, 4]) 2024-04-03T16:54:26.4602543Z ) 2024-04-03T16:54:26.4602654Z >>> st.local_tensor() 2024-04-03T16:54:26.4602788Z tensor([1, 2, 3, 4]) # Rank 0 2024-04-03T16:54:26.4602903Z tensor([3, 4, 5, 6]) # Rank 1 2024-04-03T16:54:26.4602989Z 2024-04-03T16:54:26.4603366Z Warning: This API is experimental and subject to change. It lacks of a fully across 2024-04-03T16:54:26.4603695Z rank validations, and we only validate the local shard on the current rank. 2024-04-03T16:54:26.4604050Z We fully rely on the user to ensure local tensor is sharded based on the 2024-04-03T16:54:26.4604200Z sharding spec. 2024-04-03T16:54:26.4604286Z 2024-04-03T16:54:26.4604682Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4604781Z 2024-04-03T16:54:26.4604890Z warnings.warn(msg) 2024-04-03T16:54:26.4604978Z 2024-04-03T16:54:26.4605189Z --- Parse Warning: 27 / 87 --- 2024-04-03T16:54:26.4606711Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor.reshard in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=993. 2024-04-03T16:54:26.4607125Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4607211Z 2024-04-03T16:54:26.4607559Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support 2024-04-03T16:54:26.4607677Z single local shard. 2024-04-03T16:54:26.4607765Z 2024-04-03T16:54:26.4608132Z If ``resharding_spec`` is same as the original one, this becomes a no-op. 2024-04-03T16:54:26.4608472Z If only ``resharding_spec`` shares the same sharding dim with the original one, 2024-04-03T16:54:26.4608600Z we swap local shards directly. 2024-04-03T16:54:26.4608958Z For more generic cases, we merge different shards across different ranks and split 2024-04-03T16:54:26.4609318Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API. 2024-04-03T16:54:26.4609408Z 2024-04-03T16:54:26.4609513Z Args: 2024-04-03T16:54:26.4609889Z resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The 2024-04-03T16:54:26.4610106Z specification describing how the tensor is sharded. 2024-04-03T16:54:26.4610207Z 2024-04-03T16:54:26.4610301Z Returns: 2024-04-03T16:54:26.4610570Z A :class:`ShardedTensor` object whose local shards are resharded. 2024-04-03T16:54:26.4610670Z 2024-04-03T16:54:26.4610768Z Examples: 2024-04-03T16:54:26.4610881Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4611051Z >>> # We have 2 process groups, 2 ranks. 2024-04-03T16:54:26.4611292Z >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank 2024-04-03T16:54:26.4611448Z >>> tensor = torch.stack([tensor, tensor]) 2024-04-03T16:54:26.4611553Z >>> tensor 2024-04-03T16:54:26.4611714Z tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0 2024-04-03T16:54:26.4611868Z tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1 2024-04-03T16:54:26.4612063Z tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2 2024-04-03T16:54:26.4612225Z tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3 2024-04-03T16:54:26.4612347Z >>> sharding_dim = 0 2024-04-03T16:54:26.4612477Z >>> spec = ChunkShardingSpec( 2024-04-03T16:54:26.4612592Z dim=sharding_dim, 2024-04-03T16:54:26.4612711Z placements=[ 2024-04-03T16:54:26.4612823Z "rank:0/cuda:0", 2024-04-03T16:54:26.4612934Z "rank:1/cuda:1", 2024-04-03T16:54:26.4613050Z "rank:2/cuda:2", 2024-04-03T16:54:26.4613184Z "rank:3/cuda:3", 2024-04-03T16:54:26.4613278Z ], 2024-04-03T16:54:26.4613384Z ) 2024-04-03T16:54:26.4613508Z >>> current_offsets = [0] * 2 2024-04-03T16:54:26.4613640Z >>> current_offsets[0] = rank * 2 2024-04-03T16:54:26.4613794Z >>> shard_metadata = ShardMetadata( 2024-04-03T16:54:26.4613989Z shard_offsets=copy.deepcopy(current_offsets), 2024-04-03T16:54:26.4614201Z shard_sizes=tensor.size(), 2024-04-03T16:54:26.4614373Z placement=spec.placements[rank], 2024-04-03T16:54:26.4614464Z ) 2024-04-03T16:54:26.4614575Z >>> local_shards = [ 2024-04-03T16:54:26.4614686Z Shard( 2024-04-03T16:54:26.4614794Z tensor=tensor, 2024-04-03T16:54:26.4614971Z metadata=shard_metadata, 2024-04-03T16:54:26.4615109Z ) 2024-04-03T16:54:26.4615202Z ] 2024-04-03T16:54:26.4615515Z >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size()) 2024-04-03T16:54:26.4615623Z >>> sharding_dim = 1 2024-04-03T16:54:26.4615786Z >>> resharding_spec = ChunkShardingSpec( 2024-04-03T16:54:26.4615913Z dim=sharding_dim, 2024-04-03T16:54:26.4616021Z placements=[ 2024-04-03T16:54:26.4616133Z "rank:0/cuda:0", 2024-04-03T16:54:26.4616252Z "rank:1/cuda:1", 2024-04-03T16:54:26.4616356Z "rank:2/cuda:2", 2024-04-03T16:54:26.4616463Z "rank:3/cuda:3", 2024-04-03T16:54:26.4616569Z ], 2024-04-03T16:54:26.4616660Z ) 2024-04-03T16:54:26.4616788Z >>> st.reshard(resharding_spec) 2024-04-03T16:54:26.4616951Z >>> tensor = st.local_shards()[0].tensor 2024-04-03T16:54:26.4617048Z >>> tensor 2024-04-03T16:54:26.4617244Z tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0 2024-04-03T16:54:26.4617445Z tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1 2024-04-03T16:54:26.4617629Z tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2 2024-04-03T16:54:26.4617834Z tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3 2024-04-03T16:54:26.4617921Z 2024-04-03T16:54:26.4618317Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4618418Z 2024-04-03T16:54:26.4618527Z warnings.warn(msg) 2024-04-03T16:54:26.4618613Z 2024-04-03T16:54:26.4618823Z --- Parse Warning: 28 / 87 --- 2024-04-03T16:54:26.4620283Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardingPlan in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12. 2024-04-03T16:54:26.4620689Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4620787Z 2024-04-03T16:54:26.4621071Z Representation of a sharding plan, describes how to shard a module 2024-04-03T16:54:26.4621448Z across hosts. `plan` is used to shard module parameters according to the spec provided, 2024-04-03T16:54:26.4621837Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output 2024-04-03T16:54:26.4622314Z layout of a module with a spec, and when to convert back to data parallel fashion. 2024-04-03T16:54:26.4622468Z 2024-04-03T16:54:26.4622562Z Args: 2024-04-03T16:54:26.4622928Z plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`, 2024-04-03T16:54:26.4623166Z :class:`torch.distributed._shard.sharder.Sharder`]): 2024-04-03T16:54:26.4623633Z a dict describes how to shard a module, there're currently two ways to shard a module: 2024-04-03T16:54:26.4623988Z 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of 2024-04-03T16:54:26.4624158Z a parameter to a `ShardingSpec`. 2024-04-03T16:54:26.4624564Z 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module 2024-04-03T16:54:26.4624694Z to a `Sharder` object. 2024-04-03T16:54:26.4625139Z output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional): 2024-04-03T16:54:26.4625577Z a dict specifies the layout of a module's output which produces a ShardedTensor, 2024-04-03T16:54:26.4625926Z keyed by the name of module to ShardingSpec("" in key means the root module). 2024-04-03T16:54:26.4626037Z Default: `None` 2024-04-03T16:54:26.4626386Z return_local_tensor (List[str], optional): a list of string, each element enables 2024-04-03T16:54:26.4626852Z a module's sharded output to be returned as a Tensor from its local shards to 2024-04-03T16:54:26.4627216Z ensure further processing in a data parallel fashion. ("" in list means the 2024-04-03T16:54:26.4627319Z root module). 2024-04-03T16:54:26.4627430Z Default: None 2024-04-03T16:54:26.4627525Z Example: 2024-04-03T16:54:26.4627949Z Suppose we want to shard a module with two linear layers and then run it with DDP, we also 2024-04-03T16:54:26.4628360Z want to convert the output of the second linear layer back to DDP, we can do it as follows: 2024-04-03T16:54:26.4628463Z 2024-04-03T16:54:26.4628682Z >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d) 2024-04-03T16:54:26.4628809Z >>> class MyModule(nn.Module): 2024-04-03T16:54:26.4628936Z >>> def __init__(self): 2024-04-03T16:54:26.4629054Z >>> super().__init__() 2024-04-03T16:54:26.4629181Z >>> self.fc1 = nn.Linear() 2024-04-03T16:54:26.4629320Z >>> self.gelu = nn.GELU() 2024-04-03T16:54:26.4629448Z >>> self.fc2 = nn.Linear() 2024-04-03T16:54:26.4629576Z >>> self.relu = nn.Linear() 2024-04-03T16:54:26.4629676Z >>> 2024-04-03T16:54:26.4629806Z >>> def forward(self, input): 2024-04-03T16:54:26.4630032Z >>> return self.relu(self.fc2(self.gelu(self.fc1(input)))) 2024-04-03T16:54:26.4630129Z 2024-04-03T16:54:26.4630216Z 2024-04-03T16:54:26.4630388Z >>> # xdoctest: +SKIP("Undefined spec1, spec2) 2024-04-03T16:54:26.4630539Z >>> sharding_plan = ShardingPlan( 2024-04-03T16:54:26.4630638Z >>> plan={ 2024-04-03T16:54:26.4630756Z >>> "fc1.weight": spec1, 2024-04-03T16:54:26.4630889Z >>> "fc2.weight": spec2 2024-04-03T16:54:26.4630984Z >>> }, 2024-04-03T16:54:26.4631091Z >>> output_plan={ 2024-04-03T16:54:26.4631218Z >>> "fc2": output_spec 2024-04-03T16:54:26.4631313Z >>> }, 2024-04-03T16:54:26.4631454Z >>> return_local_tensor=["fc2"] 2024-04-03T16:54:26.4631544Z >>> ) 2024-04-03T16:54:26.4631629Z 2024-04-03T16:54:26.4632034Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4632121Z 2024-04-03T16:54:26.4632229Z warnings.warn(msg) 2024-04-03T16:54:26.4632324Z 2024-04-03T16:54:26.4632522Z --- Parse Warning: 29 / 87 --- 2024-04-03T16:54:26.4634143Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=post_localSGD_hook in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=71. 2024-04-03T16:54:26.4634592Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4634678Z 2024-04-03T16:54:26.4634839Z Run post-localSGD algorithm. 2024-04-03T16:54:26.4634936Z 2024-04-03T16:54:26.4635309Z This DDP communication hook is used for running post-localSGD algorithm, 2024-04-03T16:54:26.4635527Z by combining with a model averaging component (e.g., 2024-04-03T16:54:26.4635989Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`) 2024-04-03T16:54:26.4636130Z that runs after the optimizer step. 2024-04-03T16:54:26.4636227Z 2024-04-03T16:54:26.4636321Z Args: 2024-04-03T16:54:26.4636667Z state (PostLocalSGDState): State information to run post-localSGD. 2024-04-03T16:54:26.4637057Z Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD. 2024-04-03T16:54:26.4637718Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2024-04-03T16:54:26.4638070Z Note that since DDP comm hook only supports single process single device mode, 2024-04-03T16:54:26.4638313Z only exactly one tensor is stored in this bucket. 2024-04-03T16:54:26.4638428Z 2024-04-03T16:54:26.4638527Z Returns: 2024-04-03T16:54:26.4638865Z Future handler of the communication, which updates the gradients in place. 2024-04-03T16:54:26.4638949Z 2024-04-03T16:54:26.4639068Z Example:: 2024-04-03T16:54:26.4639183Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4639502Z >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup, 2024-04-03T16:54:26.4639678Z start_localSGD_iter=10) 2024-04-03T16:54:26.4639908Z >>> ddp_model.register_comm_hook(state, post_localSGD_hook) 2024-04-03T16:54:26.4640373Z >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``. 2024-04-03T16:54:26.4640862Z >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module. 2024-04-03T16:54:26.4640954Z 2024-04-03T16:54:26.4641351Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4641454Z 2024-04-03T16:54:26.4641565Z warnings.warn(msg) 2024-04-03T16:54:26.4641655Z 2024-04-03T16:54:26.4641867Z --- Parse Warning: 30 / 87 --- 2024-04-03T16:54:26.4643444Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=powerSGD_hook in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=338. 2024-04-03T16:54:26.4643867Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4643952Z 2024-04-03T16:54:26.4644084Z Implement PowerSGD algorithm. 2024-04-03T16:54:26.4644183Z 2024-04-03T16:54:26.4644478Z This DDP communication hook implements PowerSGD gradient compression 2024-04-03T16:54:26.4644784Z algorithm described in the `paper `_. 2024-04-03T16:54:26.4645116Z Once gradient tensors are aggregated across all workers, this hook applies 2024-04-03T16:54:26.4645234Z compression as follows: 2024-04-03T16:54:26.4645322Z 2024-04-03T16:54:26.4646041Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups: 2024-04-03T16:54:26.4646128Z 2024-04-03T16:54:26.4646712Z 1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth. 2024-04-03T16:54:26.4646802Z 2024-04-03T16:54:26.4647390Z 1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases). 2024-04-03T16:54:26.4647486Z 2024-04-03T16:54:26.4647615Z 2. Handles uncompressed tensors: 2024-04-03T16:54:26.4647699Z 2024-04-03T16:54:26.4648386Z 2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression; 2024-04-03T16:54:26.4648475Z 2024-04-03T16:54:26.4648928Z 2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor. 2024-04-03T16:54:26.4649023Z 2024-04-03T16:54:26.4649357Z 3. Handles the tensors that should be compressed by PowerSGD compression: 2024-04-03T16:54:26.4649444Z 2024-04-03T16:54:26.4649868Z 3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M, 2024-04-03T16:54:26.4650309Z such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized; 2024-04-03T16:54:26.4650409Z 2024-04-03T16:54:26.4650603Z 3.2. Computes each P in Ps, which is equal to MQ; 2024-04-03T16:54:26.4650689Z 2024-04-03T16:54:26.4650828Z 3.3. Allreduces Ps as a batch; 2024-04-03T16:54:26.4650914Z 2024-04-03T16:54:26.4651052Z 3.4. Orthogonalizes each P in Ps; 2024-04-03T16:54:26.4651151Z 2024-04-03T16:54:26.4651451Z 3.5. Computes each Q in Qs, which is approximately equal to M^TP; 2024-04-03T16:54:26.4651566Z 2024-04-03T16:54:26.4651703Z 3.6. Allreduces Qs as a batch; 2024-04-03T16:54:26.4651786Z 2024-04-03T16:54:26.4652207Z 3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T. 2024-04-03T16:54:26.4652300Z 2024-04-03T16:54:26.4652844Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations. 2024-04-03T16:54:26.4653237Z This not only gives the user more control over the tradeoff between speedup and accuracy, 2024-04-03T16:54:26.4653837Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers. 2024-04-03T16:54:26.4653924Z 2024-04-03T16:54:26.4654109Z Args: 2024-04-03T16:54:26.4654671Z state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc. 2024-04-03T16:54:26.4655163Z To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter`` 2024-04-03T16:54:26.4655309Z and ``min_compression_rate``. 2024-04-03T16:54:26.4655968Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2024-04-03T16:54:26.4656316Z Note that since DDP comm hook only supports single process single device mode, 2024-04-03T16:54:26.4656525Z only exactly one tensor is stored in this bucket. 2024-04-03T16:54:26.4656613Z 2024-04-03T16:54:26.4656706Z Returns: 2024-04-03T16:54:26.4657042Z Future handler of the communication, which updates the gradients in place. 2024-04-03T16:54:26.4657129Z 2024-04-03T16:54:26.4657604Z Example:: 2024-04-03T16:54:26.4657722Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4658073Z >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1, 2024-04-03T16:54:26.4658311Z start_powerSGD_iter=10, min_compression_rate=0.5) 2024-04-03T16:54:26.4658523Z >>> ddp_model.register_comm_hook(state, powerSGD_hook) 2024-04-03T16:54:26.4658610Z 2024-04-03T16:54:26.4659026Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4659111Z 2024-04-03T16:54:26.4659221Z warnings.warn(msg) 2024-04-03T16:54:26.4659320Z 2024-04-03T16:54:26.4659519Z --- Parse Warning: 31 / 87 --- 2024-04-03T16:54:26.4661184Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PeriodicModelAverager in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=32. 2024-04-03T16:54:26.4661598Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4661684Z 2024-04-03T16:54:26.4661982Z Averages parameters periodically after the warm-up stage. 2024-04-03T16:54:26.4662164Z 2024-04-03T16:54:26.4662598Z This can be used for running `post-local SGD `_, 2024-04-03T16:54:26.4662916Z by running :class:`~torch.nn.DistributedDataParallel` (DDP) 2024-04-03T16:54:26.4663229Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`. 2024-04-03T16:54:26.4663316Z 2024-04-03T16:54:26.4663422Z Args: 2024-04-03T16:54:26.4663637Z period (int): The number of steps per model averaging. 2024-04-03T16:54:26.4664004Z Usually the period should be greater than ``1`` to reduce the communication cost. 2024-04-03T16:54:26.4664190Z Otherwise, only DDP needs to be used. 2024-04-03T16:54:26.4664625Z warmup_steps (int): The number of warm-up steps. During this stage, 2024-04-03T16:54:26.4664802Z model averaging is skipped. 2024-04-03T16:54:26.4665143Z process_group: The process group to be used for all-reduce. 2024-04-03T16:54:26.4665389Z If ``None``, the default process group, which 2024-04-03T16:54:26.4665860Z is created by :func:`torch.distributed.init_process_group`, 2024-04-03T16:54:26.4666023Z will be used. (default: ``None``) 2024-04-03T16:54:26.4666108Z 2024-04-03T16:54:26.4666222Z Example:: 2024-04-03T16:54:26.4666309Z 2024-04-03T16:54:26.4666476Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:26.4666600Z >>> import torch 2024-04-03T16:54:26.4666749Z >>> import torch.distributed as dist 2024-04-03T16:54:26.4667160Z >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD 2024-04-03T16:54:26.4667528Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2024-04-03T16:54:26.4667647Z >>> import torch.nn as nn 2024-04-03T16:54:26.4667737Z >>> 2024-04-03T16:54:26.4667983Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2024-04-03T16:54:26.4668114Z >>> torch.cuda.set_device(rank) 2024-04-03T16:54:26.4668294Z >>> module = nn.Linear(1, 1, bias=False).cuda() 2024-04-03T16:54:26.4668499Z >>> model = nn.parallel.DistributedDataParallel( 2024-04-03T16:54:26.4668683Z >>> module, device_ids=[rank], output_device=rank 2024-04-03T16:54:26.4668783Z >>> ) 2024-04-03T16:54:26.4669028Z >>> # Register a post-localSGD communication hook. 2024-04-03T16:54:26.4669409Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2024-04-03T16:54:26.4669634Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-04-03T16:54:26.4669724Z >>> 2024-04-03T16:54:26.4670100Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2024-04-03T16:54:26.4670317Z >>> # After 100 steps, run model averaging every 4 steps. 2024-04-03T16:54:26.4670761Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-04-03T16:54:26.4671097Z >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2024-04-03T16:54:26.4671223Z >>> for step in range(0, 200): 2024-04-03T16:54:26.4671345Z >>> optimizer.zero_grad() 2024-04-03T16:54:26.4671565Z >>> loss = loss_fn(output, labels) 2024-04-03T16:54:26.4671677Z >>> loss.backward() 2024-04-03T16:54:26.4671899Z >>> optimizer.step() 2024-04-03T16:54:26.4672169Z >>> # Will average model parameters globally every 4 steps. Thus, 2024-04-03T16:54:26.4672504Z >>> # inter-node communication only occurs every 4 iterations after 2024-04-03T16:54:26.4672664Z >>> # the initial ``warmup_steps`` period. 2024-04-03T16:54:26.4672883Z >>> averager.average_parameters(model.parameters()) 2024-04-03T16:54:26.4672970Z 2024-04-03T16:54:26.4673361Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4673461Z 2024-04-03T16:54:26.4673571Z warnings.warn(msg) 2024-04-03T16:54:26.4673754Z 2024-04-03T16:54:26.4674011Z --- Parse Warning: 32 / 87 --- 2024-04-03T16:54:26.4675860Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=HierarchicalModelAverager in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=16. 2024-04-03T16:54:26.4676546Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4676634Z 2024-04-03T16:54:26.4677060Z Runs hierarchical model averaging (`hierarchical SGD `_). 2024-04-03T16:54:26.4677160Z 2024-04-03T16:54:26.4677602Z Process groups of different sizes are organized in a hierarchy, and they average parameters 2024-04-03T16:54:26.4677972Z by using different periods concurrently after the warm-up stage. 2024-04-03T16:54:26.4678541Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager` 2024-04-03T16:54:26.4679067Z that supports `post-local SGD `_, which essentially only supports 2024-04-03T16:54:26.4679570Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine 2024-04-03T16:54:26.4680044Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`. 2024-04-03T16:54:26.4680511Z Similarly, the process groups within this class do not have such an intra-machine process 2024-04-03T16:54:26.4680961Z subgroup, which should be embedded by the post-local SGD communication hook instead. 2024-04-03T16:54:26.4681049Z 2024-04-03T16:54:26.4681140Z Args: 2024-04-03T16:54:26.4681507Z period_group_size_dict: An ordered dict mapping keys of model averaging period to 2024-04-03T16:54:26.4681891Z process group size, used for initializing process groups of 2024-04-03T16:54:26.4682213Z different sizes in a hierarchy to average parameters concurrently. 2024-04-03T16:54:26.4682499Z Particularly, at each iteration, there will be at most a single 2024-04-03T16:54:26.4682896Z process group that runs averaging -- the period of such group should 2024-04-03T16:54:26.4683207Z have the largest period which the current step can be divided by. 2024-04-03T16:54:26.4683436Z For example, if the dict has three keys: 2, 4, and 8, 2024-04-03T16:54:26.4683720Z then this means totally three process groups will be created to 2024-04-03T16:54:26.4684023Z average parameters every 2, 4, and 8 iterations, respectively. 2024-04-03T16:54:26.4684291Z At the 4th iteration, only the second process group will run 2024-04-03T16:54:26.4684549Z averaging, because the first process group should be a 2024-04-03T16:54:26.4684860Z subset of the second process group, and no need to execute the first 2024-04-03T16:54:26.4685023Z process group redundantly. 2024-04-03T16:54:26.4685321Z On the other hand, the third process group can only be triggered 2024-04-03T16:54:26.4685669Z every 8 iterations, so it will not be triggered at the 4th iteration. 2024-04-03T16:54:26.4686165Z warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped. 2024-04-03T16:54:26.4686753Z process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging. 2024-04-03T16:54:26.4687008Z If ``None``, the default process group, which is created 2024-04-03T16:54:26.4687344Z by :func:`torch.distributed.init_process_group`, will be used. 2024-04-03T16:54:26.4687512Z (default: ``None``) 2024-04-03T16:54:26.4687599Z 2024-04-03T16:54:26.4687709Z Example:: 2024-04-03T16:54:26.4687907Z >>> # xdoctest: +SKIP('undefined rank') 2024-04-03T16:54:26.4688062Z >>> from collections import OrderedDict 2024-04-03T16:54:26.4688171Z >>> import torch 2024-04-03T16:54:26.4688318Z >>> import torch.distributed as dist 2024-04-03T16:54:26.4688675Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2024-04-03T16:54:26.4688813Z >>> PostLocalSGDState, 2024-04-03T16:54:26.4688930Z >>> post_localSGD_hook, 2024-04-03T16:54:26.4689053Z >>> ) 2024-04-03T16:54:26.4689579Z >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD 2024-04-03T16:54:26.4689698Z >>> import torch.nn as nn 2024-04-03T16:54:26.4689801Z >>> 2024-04-03T16:54:26.4690027Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2024-04-03T16:54:26.4690157Z >>> torch.cuda.set_device(rank) 2024-04-03T16:54:26.4690347Z >>> module = nn.Linear(1, 1, bias=False).to(rank) 2024-04-03T16:54:26.4690553Z >>> model = nn.parallel.DistributedDataParallel( 2024-04-03T16:54:26.4690741Z >>> module, device_ids=[rank], output_device=rank 2024-04-03T16:54:26.4690845Z >>> ) 2024-04-03T16:54:26.4691087Z >>> # Register a post-localSGD communication hook. 2024-04-03T16:54:26.4691551Z >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4. 2024-04-03T16:54:26.4691715Z >>> subgroup, _ = dist.new_subgroups() 2024-04-03T16:54:26.4692121Z >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100) 2024-04-03T16:54:26.4692338Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-04-03T16:54:26.4692434Z >>> 2024-04-03T16:54:26.4692814Z >>> # Average parameters among each group of 8 processes every 4 iterations, and among all 2024-04-03T16:54:26.4692983Z >>> # the 16 processes every 16 iterations. 2024-04-03T16:54:26.4693238Z >>> averager = hierarchicalSGD.HierarchicalModelAverager( 2024-04-03T16:54:26.4693542Z >>> period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100) 2024-04-03T16:54:26.4693995Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-04-03T16:54:26.4694462Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2024-04-03T16:54:26.4694673Z >>> # After 100 steps, run model averaging at two levels. 2024-04-03T16:54:26.4694816Z >>> for step in range(0, 200): 2024-04-03T16:54:26.4694944Z >>> optimizer.zero_grad() 2024-04-03T16:54:26.4695094Z >>> loss = loss_fn(output, labels) 2024-04-03T16:54:26.4695210Z >>> loss.backward() 2024-04-03T16:54:26.4695326Z >>> optimizer.step() 2024-04-03T16:54:26.4695536Z >>> # Average parameters after ``optimizer.step()``. 2024-04-03T16:54:26.4696002Z >>> # Thus, the inter-node communication only occurs periodically after ``warmup_steps``. 2024-04-03T16:54:26.4696248Z >>> averager.average_parameters(model.parameters()) 2024-04-03T16:54:26.4696344Z 2024-04-03T16:54:26.4696447Z .. warning :: 2024-04-03T16:54:26.4696812Z The last group size in the dict must be the size of the provided ``process_group``, 2024-04-03T16:54:26.4697124Z which indicates model averaging at the highest level of the hierarchy. 2024-04-03T16:54:26.4697546Z If ``process_group`` is not provided, then the last group size should be equal to the world size. 2024-04-03T16:54:26.4697634Z 2024-04-03T16:54:26.4697745Z .. warning :: 2024-04-03T16:54:26.4698067Z `HierarchicalModelAverager` is experimental and subject to change. 2024-04-03T16:54:26.4698162Z 2024-04-03T16:54:26.4698550Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4698635Z 2024-04-03T16:54:26.4698749Z warnings.warn(msg) 2024-04-03T16:54:26.4698832Z 2024-04-03T16:54:26.4699031Z --- Parse Warning: 33 / 87 --- 2024-04-03T16:54:26.4700766Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=74. 2024-04-03T16:54:26.4701264Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4701384Z 2024-04-03T16:54:26.4701791Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint 2024-04-03T16:54:26.4702255Z on the coordinator rank, and then broadcast and shard each tensor to all ranks. 2024-04-03T16:54:26.4702342Z 2024-04-03T16:54:26.4702565Z . N.B. Intended to be used with DynamicMetaLoadPlanner 2024-04-03T16:54:26.4702649Z 2024-04-03T16:54:26.4702759Z .. warning:: 2024-04-03T16:54:26.4702975Z Current implementation only supports loading Tensors. 2024-04-03T16:54:26.4703063Z 2024-04-03T16:54:26.4703217Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:26.4703328Z >>> sd = {"mode": model} 2024-04-03T16:54:26.4703425Z >>> dcp.load( 2024-04-03T16:54:26.4703527Z >>> sd, 2024-04-03T16:54:26.4703725Z >>> storage_reader=BroadcastingTorchSaveReader(), 2024-04-03T16:54:26.4703880Z >>> planner=DynamicMetaLoadPlanner(), 2024-04-03T16:54:26.4704035Z >>> checkpoint_id="path_to_model.pt" 2024-04-03T16:54:26.4704123Z >>> ) 2024-04-03T16:54:26.4704209Z 2024-04-03T16:54:26.4704609Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4704695Z 2024-04-03T16:54:26.4704802Z warnings.warn(msg) 2024-04-03T16:54:26.4704897Z 2024-04-03T16:54:26.4705094Z --- Parse Warning: 34 / 87 --- 2024-04-03T16:54:26.4706625Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=182. 2024-04-03T16:54:26.4707033Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4707114Z 2024-04-03T16:54:26.4707598Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, 2024-04-03T16:54:26.4708130Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a 2024-04-03T16:54:26.4708268Z metadata file, like Torch Save files. 2024-04-03T16:54:26.4708361Z 2024-04-03T16:54:26.4708604Z . N.B. Intended to be used with BroadcastingTorchSaveReader 2024-04-03T16:54:26.4708689Z 2024-04-03T16:54:26.4708791Z .. warning:: 2024-04-03T16:54:26.4709011Z Current implementation only supports loading Tensors. 2024-04-03T16:54:26.4709094Z 2024-04-03T16:54:26.4709241Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:26.4709409Z >>> sd = {"mode": model} 2024-04-03T16:54:26.4709507Z >>> dcp.load( 2024-04-03T16:54:26.4709611Z >>> sd, 2024-04-03T16:54:26.4709805Z >>> storage_reader=BroadcastingTorchSaveReader(), 2024-04-03T16:54:26.4709960Z >>> planner=DynamicMetaLoadPlanner(), 2024-04-03T16:54:26.4710110Z >>> checkpoint_id="path_to_model.pt" 2024-04-03T16:54:26.4710199Z >>> ) 2024-04-03T16:54:26.4710295Z 2024-04-03T16:54:26.4710686Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4710773Z 2024-04-03T16:54:26.4710891Z warnings.warn(msg) 2024-04-03T16:54:26.4710976Z 2024-04-03T16:54:26.4711223Z --- Parse Warning: 35 / 87 --- 2024-04-03T16:54:26.4712786Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=212. 2024-04-03T16:54:26.4713187Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4713273Z 2024-04-03T16:54:26.4713561Z Load a state_dict in conjunction with FSDP sharded optimizer state. 2024-04-03T16:54:26.4713648Z 2024-04-03T16:54:26.4713867Z This is the current recommended way to checkpoint FSDP. 2024-04-03T16:54:26.4714022Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4714259Z >>> import torch.distributed.checkpoint as dist_cp 2024-04-03T16:54:26.4714365Z >>> # Save 2024-04-03T16:54:26.4714475Z >>> model: torch.nn.Model 2024-04-03T16:54:26.4714620Z >>> optim_params = model.parameters() 2024-04-03T16:54:26.4714810Z >>> optim = torch.optim.SGD(optim_params, lr=0.01) 2024-04-03T16:54:26.4714899Z >>> # Save 2024-04-03T16:54:26.4715187Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT): 2024-04-03T16:54:26.4715305Z >>> state_dict = { 2024-04-03T16:54:26.4715508Z >>> "optimizer": FSDP.optim_state_dict(model, optim), 2024-04-03T16:54:26.4715639Z >>> "model": model.state_dict() 2024-04-03T16:54:26.4715733Z >>> } 2024-04-03T16:54:26.4715851Z >>> dist_cp.save_state_dict( 2024-04-03T16:54:26.4715971Z >>> state_dict=optim_state, 2024-04-03T16:54:26.4716212Z >>> storage_writer=dist_cp.FileSystemWriter("checkpoint"), 2024-04-03T16:54:26.4716384Z >>> planner=dist_cp.DefaultSavePlanner(), 2024-04-03T16:54:26.4716477Z >>> ) 2024-04-03T16:54:26.4716575Z >>> 2024-04-03T16:54:26.4716665Z >>> # Load 2024-04-03T16:54:26.4716971Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT): 2024-04-03T16:54:26.4717145Z >>> model_state_dict = model_tp.state_dict() 2024-04-03T16:54:26.4717253Z >>> checkpoint = { 2024-04-03T16:54:26.4717390Z >>> "model": model_state_dict 2024-04-03T16:54:26.4717479Z >>> } 2024-04-03T16:54:26.4717595Z >>> dist_cp.load_state_dict( 2024-04-03T16:54:26.4717727Z >>> state_dict=checkpoint, 2024-04-03T16:54:26.4717965Z >>> storage_reader=dist_cp.FileSystemReader(checkpoint_file), 2024-04-03T16:54:26.4718133Z >>> planner=dist_cp.DefaultLoadPlanner(), 2024-04-03T16:54:26.4718229Z >>> ) 2024-04-03T16:54:26.4718422Z >>> model.load_state_dict(checkpoint["model_state"]) 2024-04-03T16:54:26.4718512Z >>> 2024-04-03T16:54:26.4718748Z >>> optim_state = dist_cp.load_sharded_optimizer_state_dict( 2024-04-03T16:54:26.4718857Z >>> model_state_dict, 2024-04-03T16:54:26.4718991Z >>> optimizer_key="optimizer", 2024-04-03T16:54:26.4719228Z >>> storage_reader=dist_cp.FileSystemReader("checkpoint"), 2024-04-03T16:54:26.4719317Z >>> ) 2024-04-03T16:54:26.4719402Z >>> 2024-04-03T16:54:26.4719599Z >>> flattened_osd = FSDP.optim_state_dict_to_load( 2024-04-03T16:54:26.4719761Z >>> model, optim, optim_state["optimizer"] 2024-04-03T16:54:26.4719893Z >>> ) 2024-04-03T16:54:26.4719977Z >>> 2024-04-03T16:54:26.4720126Z >>> optim.load_state_dict(flattened_osd) 2024-04-03T16:54:26.4720216Z 2024-04-03T16:54:26.4720605Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4720687Z 2024-04-03T16:54:26.4720806Z warnings.warn(msg) 2024-04-03T16:54:26.4720889Z 2024-04-03T16:54:26.4721085Z --- Parse Warning: 36 / 87 --- 2024-04-03T16:54:26.4722564Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=109. 2024-04-03T16:54:26.4722969Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4723050Z 2024-04-03T16:54:26.4723438Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2024-04-03T16:54:26.4723524Z 2024-04-03T16:54:26.4723909Z SavePlanners are stateful objects that can be used to customize the whole save process. 2024-04-03T16:54:26.4724001Z 2024-04-03T16:54:26.4724391Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2024-04-03T16:54:26.4724539Z will be visible to the whole process. 2024-04-03T16:54:26.4724622Z 2024-04-03T16:54:26.4725024Z A planner subclass can expect the following sequence of calls during save_state_dict: 2024-04-03T16:54:26.4725143Z 2024-04-03T16:54:26.4725334Z 1) set_up_planner - called on all ranks. 2024-04-03T16:54:26.4725491Z Signals the start of a checkpoint save. 2024-04-03T16:54:26.4725586Z 2024-04-03T16:54:26.4725783Z 2) create_local_plan - called on all ranks. 2024-04-03T16:54:26.4726166Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2024-04-03T16:54:26.4726265Z 2024-04-03T16:54:26.4726551Z 3) create_global_plan - called on the coordinator rank only. 2024-04-03T16:54:26.4726808Z Takes the SavePlan from all ranks and make any global decision. 2024-04-03T16:54:26.4726904Z 2024-04-03T16:54:26.4727081Z 4) finish_plan - called on all ranks. 2024-04-03T16:54:26.4727375Z This gives each rank a chance to adjust to global planning decisions. 2024-04-03T16:54:26.4727468Z 2024-04-03T16:54:26.4727714Z 5) resolve_data - called multiple times on each rank 2024-04-03T16:54:26.4728004Z Lookups a value on the `state_dict` for the storage layer to write. 2024-04-03T16:54:26.4728087Z 2024-04-03T16:54:26.4728487Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2024-04-03T16:54:26.4728736Z most changes can be expressed by changes in a single method. 2024-04-03T16:54:26.4728820Z 2024-04-03T16:54:26.4728972Z There are 3 usual patterns of extension: 2024-04-03T16:54:26.4729067Z 2024-04-03T16:54:26.4729402Z Rewriting state_dict. This is the simplest way to extend the save process as it 2024-04-03T16:54:26.4729751Z doesn't requite understanding the intrincacies of how SavePlan works: 2024-04-03T16:54:26.4729847Z 2024-04-03T16:54:26.4729986Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:26.4730153Z >>> class RenamePlanner(DefaultSavePlanner): 2024-04-03T16:54:26.4730377Z >>> def set_up_planner(self, state_dict, is_coordinator): 2024-04-03T16:54:26.4730529Z >>> # prefix all keys with `foo_`` 2024-04-03T16:54:26.4730890Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, is_coordinator) 2024-04-03T16:54:26.4730982Z 2024-04-03T16:54:26.4731433Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2024-04-03T16:54:26.4731528Z 2024-04-03T16:54:26.4731667Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:26.4731829Z >>> class FP16Planner(DefaultSavePlanner): 2024-04-03T16:54:26.4732001Z >>> def create_local_plan(self): 2024-04-03T16:54:26.4732151Z >>> plan = super().create_local_plan() 2024-04-03T16:54:26.4732261Z >>> for p in plan: 2024-04-03T16:54:26.4732419Z >>> if p.tensor_data is not None: 2024-04-03T16:54:26.4732632Z >>> p.tensor_data.properties.dtype = torch.float16 2024-04-03T16:54:26.4732745Z >>> return plan 2024-04-03T16:54:26.4732843Z >>> 2024-04-03T16:54:26.4732994Z >>> def resolve_data(self, write_item): 2024-04-03T16:54:26.4733158Z >>> item = super().resolve_data(write_item) 2024-04-03T16:54:26.4733567Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2024-04-03T16:54:26.4733654Z 2024-04-03T16:54:26.4734299Z Using the global planning step to make central decisions that can't be made individually by each rank 2024-04-03T16:54:26.4734386Z 2024-04-03T16:54:26.4734529Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:26.4734669Z >>> from itertools import islice 2024-04-03T16:54:26.4734802Z >>> from dataclasses import replace 2024-04-03T16:54:26.4735019Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2024-04-03T16:54:26.4735496Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2024-04-03T16:54:26.4735757Z >>> # This sample doesn't handle ShardedTensors 2024-04-03T16:54:26.4735951Z >>> def create_global_plan(self, all_plans): 2024-04-03T16:54:26.4736079Z >>> def chunk(it, size): 2024-04-03T16:54:26.4736187Z >>> it = iter(it) 2024-04-03T16:54:26.4736407Z >>> return list(iter(lambda: tuple(islice(it, size)), ())) 2024-04-03T16:54:26.4736520Z >>> all_plans = [ 2024-04-03T16:54:26.4736712Z >>> replace(plan, items=items) for plan, items in 2024-04-03T16:54:26.4736963Z >>> zip(all_plans, chunk(all_plans[0].items, len(all_plans))) 2024-04-03T16:54:26.4737058Z >>> ] 2024-04-03T16:54:26.4737238Z >>> return super().create_global_plan(all_plans) 2024-04-03T16:54:26.4737334Z 2024-04-03T16:54:26.4737695Z Finally, some planners need to save additional metadata in the checkpoint, this is 2024-04-03T16:54:26.4738051Z accomplished by having each rank contribute their data items in the local plan and 2024-04-03T16:54:26.4738201Z the global planner aggregate them: 2024-04-03T16:54:26.4738290Z 2024-04-03T16:54:26.4738430Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:26.4738639Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2024-04-03T16:54:26.4738857Z >>> def create_local_plan(self) -> SavePlan: 2024-04-03T16:54:26.4739008Z >>> plan = super().create_local_plan() 2024-04-03T16:54:26.4739282Z >>> return replace(plan, planner_data="per-rank-data") 2024-04-03T16:54:26.4739371Z >>> 2024-04-03T16:54:26.4739849Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2024-04-03T16:54:26.4740109Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2024-04-03T16:54:26.4740316Z >>> merged_data = [p.planner_data for p in global_plan] 2024-04-03T16:54:26.4740541Z >>> metadata = replace(metadata, planner_data=merged_data) 2024-04-03T16:54:26.4740686Z >>> return global_plan, metadata 2024-04-03T16:54:26.4740777Z 2024-04-03T16:54:26.4741169Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4741254Z 2024-04-03T16:54:26.4741363Z warnings.warn(msg) 2024-04-03T16:54:26.4741456Z 2024-04-03T16:54:26.4741652Z --- Parse Warning: 37 / 87 --- 2024-04-03T16:54:26.4743216Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=53. 2024-04-03T16:54:26.4743681Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4743770Z 2024-04-03T16:54:26.4743967Z Load a distributed ``state_dict`` in SPMD style. 2024-04-03T16:54:26.4744052Z 2024-04-03T16:54:26.4744299Z Each rank will try to read the least amount of data necessary 2024-04-03T16:54:26.4744622Z to fullfill the requested `state_dict`. When loading :class:`ShardedTensor` 2024-04-03T16:54:26.4744952Z or :class:`DTensor` instances, each rank only reads data for their local shards. 2024-04-03T16:54:26.4745038Z 2024-04-03T16:54:26.4745435Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2024-04-03T16:54:26.4745779Z load will first call ``state_dict`` before attempting deserialization, followed by 2024-04-03T16:54:26.4745994Z ``load_state_dict`` once the deserialization is complete. 2024-04-03T16:54:26.4746087Z 2024-04-03T16:54:26.4746193Z .. warning:: 2024-04-03T16:54:26.4746416Z All tensors in ``state_dict`` must be allocated on their 2024-04-03T16:54:26.4746635Z destination device *prior to* calling this function. 2024-04-03T16:54:26.4746720Z 2024-04-03T16:54:26.4747103Z All non-tensor data is loaded using `torch.load()` and modified in place 2024-04-03T16:54:26.4747206Z on state_dict. 2024-04-03T16:54:26.4747325Z 2024-04-03T16:54:26.4747477Z .. warning:: 2024-04-03T16:54:26.4747751Z Users must call `load_state_dict` on the root module to ensure load 2024-04-03T16:54:26.4748038Z pos-processing and non-tensor data properly propagates. 2024-04-03T16:54:26.4748135Z 2024-04-03T16:54:26.4748226Z .. note: 2024-04-03T16:54:26.4748543Z If no process group is initialized, this function can assumesbe the intent 2024-04-03T16:54:26.4748860Z is to load a checkpoint into the local process. This can be useful in the 2024-04-03T16:54:26.4749200Z case of local inference, and when using regular Tensors (as opposed to DTensor 2024-04-03T16:54:26.4749315Z or ShardedTensor) 2024-04-03T16:54:26.4749411Z 2024-04-03T16:54:26.4749501Z .. note: 2024-04-03T16:54:26.4749679Z Rank 0 is assumed to be the coordinator rank. 2024-04-03T16:54:26.4749772Z 2024-04-03T16:54:26.4749860Z Args: 2024-04-03T16:54:26.4750060Z state_dict (Dict[str, Any]): The state_dict to save. 2024-04-03T16:54:26.4750253Z checkpoint_id (Union[str, os.PathLike, None]): 2024-04-03T16:54:26.4750544Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-04-03T16:54:26.4750842Z depends on the storage. It can be a path to a folder or to a file. 2024-04-03T16:54:26.4751132Z It can also be a key if the storage is a key-value store. 2024-04-03T16:54:26.4751241Z (Default: ``None``) 2024-04-03T16:54:26.4751412Z storage_reader (Optional[StorageReader]): 2024-04-03T16:54:26.4751685Z Instance of StorageWriter used to perform reads. If this is not 2024-04-03T16:54:26.4751952Z specified, DCP will automatically infer the reader based on the 2024-04-03T16:54:26.4752221Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-04-03T16:54:26.4752352Z be raised. (Default: ``None``) 2024-04-03T16:54:26.4752492Z planner (Optional[LoadPlanner]): 2024-04-03T16:54:26.4752766Z Instance of LoadPlanner. If this is not specificed, the default 2024-04-03T16:54:26.4752930Z planner will be used. (Default: ``None``) 2024-04-03T16:54:26.4753099Z process_group (Optional[ProcessGroup]): 2024-04-03T16:54:26.4753389Z ProcessGroup to be used for cross-rank synchronization. 2024-04-03T16:54:26.4753499Z (Default: ``None``) 2024-04-03T16:54:26.4753595Z 2024-04-03T16:54:26.4753685Z Returns: 2024-04-03T16:54:26.4753773Z None. 2024-04-03T16:54:26.4753897Z 2024-04-03T16:54:26.4753987Z Examples 2024-04-03T16:54:26.4754095Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4754216Z >>> my_model = MyModule() 2024-04-03T16:54:26.4754392Z >>> optimizer = Adagrad(my_model.parameters()) 2024-04-03T16:54:26.4754553Z >>> model_state_dict = my_model.state_dict() 2024-04-03T16:54:26.4754960Z >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader("/checkpoint/1") 2024-04-03T16:54:26.4755047Z 2024-04-03T16:54:26.4755248Z >>> torch.distributed.checkpoint.load_state_dict( 2024-04-03T16:54:26.4755403Z >>> state_dict=model_state_dict, 2024-04-03T16:54:26.4755580Z >>> storage_reader=fs_storage_reader, 2024-04-03T16:54:26.4755667Z >>> ) 2024-04-03T16:54:26.4755762Z 2024-04-03T16:54:26.4756020Z >>> # module.load_state_dict() function might have customized steps 2024-04-03T16:54:26.4756191Z >>> # to flush the state_dict, must call it to 2024-04-03T16:54:26.4756314Z >>> # ensure correct behavior. 2024-04-03T16:54:26.4756475Z >>> my_model.load_state_dict(model_state_dict) 2024-04-03T16:54:26.4756565Z 2024-04-03T16:54:26.4756654Z .. note:: 2024-04-03T16:54:26.4756927Z load_state_dict uses collectives to coordinate reads across ranks. 2024-04-03T16:54:26.4757278Z For NCCL-based process groups, internal tensor representations of 2024-04-03T16:54:26.4757617Z objects must be moved to the GPU device before communication takes place. 2024-04-03T16:54:26.4757952Z In this case, the device used is given by ``torch.cuda.current_device()`` 2024-04-03T16:54:26.4758353Z and it is the user's responsibility to ensure that this is set so that each 2024-04-03T16:54:26.4758600Z rank has an individual GPU, via ``torch.cuda.set_device()``. 2024-04-03T16:54:26.4758683Z 2024-04-03T16:54:26.4759076Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4759164Z 2024-04-03T16:54:26.4759270Z warnings.warn(msg) 2024-04-03T16:54:26.4759359Z 2024-04-03T16:54:26.4759557Z --- Parse Warning: 38 / 87 --- 2024-04-03T16:54:26.4760992Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=save in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=60. 2024-04-03T16:54:26.4761390Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4761478Z 2024-04-03T16:54:26.4761635Z Save a distributed model in SPMD style. 2024-04-03T16:54:26.4761719Z 2024-04-03T16:54:26.4761965Z This function is different from ``torch.save()`` as it handles 2024-04-03T16:54:26.4762312Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards. 2024-04-03T16:54:26.4762395Z 2024-04-03T16:54:26.4762745Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2024-04-03T16:54:26.4762944Z save will call ``state_dict`` before serialization. 2024-04-03T16:54:26.4763031Z 2024-04-03T16:54:26.4763137Z .. warning:: 2024-04-03T16:54:26.4763453Z There is no guarantees of Backwards Compatibility across PyTorch versions 2024-04-03T16:54:26.4763564Z for saved state_dicts. 2024-04-03T16:54:26.4763653Z 2024-04-03T16:54:26.4763747Z .. warning:: 2024-04-03T16:54:26.4764036Z If using the `process_group` argument, make sure that only its ranks 2024-04-03T16:54:26.4764319Z call `save_state_dict` and that all data in state_dict belong to it. 2024-04-03T16:54:26.4764406Z 2024-04-03T16:54:26.4764497Z .. note:: 2024-04-03T16:54:26.4764932Z When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of 2024-04-03T16:54:26.4765280Z the shard_group should be calling `save_state_dict` and the corresponding process 2024-04-03T16:54:26.4765438Z group needs to be passed in. 2024-04-03T16:54:26.4765530Z 2024-04-03T16:54:26.4765620Z .. note:: 2024-04-03T16:54:26.4765990Z If no process group is available, this function assumes the intention is to save the 2024-04-03T16:54:26.4766134Z state_dict in the local process. 2024-04-03T16:54:26.4766215Z 2024-04-03T16:54:26.4766317Z .. note: 2024-04-03T16:54:26.4766496Z Rank 0 is assumed to be the coordinator rank. 2024-04-03T16:54:26.4766580Z 2024-04-03T16:54:26.4766680Z 2024-04-03T16:54:26.4766770Z Args: 2024-04-03T16:54:26.4766969Z state_dict (Dict[str, Any]): The state_dict to save. 2024-04-03T16:54:26.4767188Z checkpoint_id (Union[str, os.PathLike, None]): 2024-04-03T16:54:26.4767476Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-04-03T16:54:26.4767756Z depends on the storage. It can be a path to a folder or to a file. 2024-04-03T16:54:26.4768059Z It can also be a key if the storage is a key-value store. 2024-04-03T16:54:26.4768173Z (Default: ``None``) 2024-04-03T16:54:26.4768338Z storage_writer (Optional[StorageWriter]): 2024-04-03T16:54:26.4768623Z Instance of StorageWriter used to perform writes. If this is not 2024-04-03T16:54:26.4768892Z specified, DCP will automatically infer the writer based on the 2024-04-03T16:54:26.4769181Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-04-03T16:54:26.4769352Z be raised. (Default: ``None``) 2024-04-03T16:54:26.4769490Z planner (Optional[SavePlanner]): 2024-04-03T16:54:26.4769769Z Instance of SavePlanner. If this is not specificed, the default 2024-04-03T16:54:26.4769935Z planner will be used. (Default: ``None``) 2024-04-03T16:54:26.4770098Z process_group (Optional[ProcessGroup]): 2024-04-03T16:54:26.4770407Z ProcessGroup to be used for cross-rank synchronization. 2024-04-03T16:54:26.4770519Z (Default: ``None``) 2024-04-03T16:54:26.4770607Z 2024-04-03T16:54:26.4770706Z Returns: 2024-04-03T16:54:26.4770910Z Metadata: Metadata object for the saved checkpoint. 2024-04-03T16:54:26.4770998Z 2024-04-03T16:54:26.4771102Z Example: 2024-04-03T16:54:26.4771212Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4771332Z >>> my_model = MyModule() 2024-04-03T16:54:26.4771431Z 2024-04-03T16:54:26.4771573Z >>> state_dict = {"model": my_model} 2024-04-03T16:54:26.4771662Z 2024-04-03T16:54:26.4772063Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter("/checkpoint/1") 2024-04-03T16:54:26.4772238Z >>> torch.distributed.checkpoint.save( 2024-04-03T16:54:26.4772358Z >>> state_dict=state_dict, 2024-04-03T16:54:26.4772519Z >>> storage_writer=fs_storage_writer, 2024-04-03T16:54:26.4772610Z >>> ) 2024-04-03T16:54:26.4772706Z 2024-04-03T16:54:26.4772799Z .. note:: 2024-04-03T16:54:26.4773079Z save_state_dict uses collectives to coordinate writes across ranks. 2024-04-03T16:54:26.4773435Z For NCCL-based process groups, internal tensor representations of 2024-04-03T16:54:26.4773756Z objects must be moved to the GPU device before communication takes place. 2024-04-03T16:54:26.4774174Z In this case, the device used is given by ``torch.cuda.current_device()`` 2024-04-03T16:54:26.4774546Z and it is the user's responsibility to ensure that this is set so that 2024-04-03T16:54:26.4774820Z each rank has an individual GPU, via ``torch.cuda.set_device()``. 2024-04-03T16:54:26.4774905Z 2024-04-03T16:54:26.4775312Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4775398Z 2024-04-03T16:54:26.4775511Z warnings.warn(msg) 2024-04-03T16:54:26.4775606Z 2024-04-03T16:54:26.4775802Z --- Parse Warning: 39 / 87 --- 2024-04-03T16:54:26.4777295Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_save in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=162. 2024-04-03T16:54:26.4777733Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4778292Z Asynchronous version of ``save_state_dict``. This code first de-stages the state_dict on CPU, and then calls 2024-04-03T16:54:26.4778429Z `save` in a separate thread. 2024-04-03T16:54:26.4778516Z 2024-04-03T16:54:26.4778621Z .. warning:: 2024-04-03T16:54:26.4778863Z This feature is experimental and subject to change. 2024-04-03T16:54:26.4778946Z 2024-04-03T16:54:26.4779037Z Args: 2024-04-03T16:54:26.4779250Z state_dict (Dict[str, Any]): The state_dict to save. 2024-04-03T16:54:26.4779438Z checkpoint_id (Union[str, os.PathLike, None]): 2024-04-03T16:54:26.4779733Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-04-03T16:54:26.4780033Z depends on the storage. It can be a path to a folder or to a file. 2024-04-03T16:54:26.4780331Z It can also be a key if the storage is a key-value store. 2024-04-03T16:54:26.4780450Z (Default: ``None``) 2024-04-03T16:54:26.4780621Z storage_writer (Optional[StorageWriter]): 2024-04-03T16:54:26.4780927Z Instance of StorageWriter used to perform writes. If this is not 2024-04-03T16:54:26.4781237Z specified, DCP will automatically infer the writer based on the 2024-04-03T16:54:26.4781506Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-04-03T16:54:26.4781648Z be raised. (Default: ``None``) 2024-04-03T16:54:26.4781800Z planner (Optional[SavePlanner]): 2024-04-03T16:54:26.4782182Z Instance of SavePlanner. If this is not specificed, the default 2024-04-03T16:54:26.4782365Z planner will be used. (Default: ``None``) 2024-04-03T16:54:26.4782530Z process_group (Optional[ProcessGroup]): 2024-04-03T16:54:26.4782834Z ProcessGroup to be used for cross-rank synchronization. 2024-04-03T16:54:26.4782959Z (Default: ``None``) 2024-04-03T16:54:26.4783046Z 2024-04-03T16:54:26.4783139Z Returns: 2024-04-03T16:54:26.4783426Z Future: A future holding the resultant Metadata object from `save`. 2024-04-03T16:54:26.4783515Z 2024-04-03T16:54:26.4783609Z Example: 2024-04-03T16:54:26.4783735Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4783856Z >>> my_model = MyModule() 2024-04-03T16:54:26.4783940Z 2024-04-03T16:54:26.4784092Z >>> state_dict = {"model": my_model} 2024-04-03T16:54:26.4784174Z 2024-04-03T16:54:26.4784574Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter("/checkpoint/1") 2024-04-03T16:54:26.4784860Z >>> checkpoint_future = torch.distributed.checkpoint.async_save( 2024-04-03T16:54:26.4784986Z >>> state_dict=state_dict, 2024-04-03T16:54:26.4785143Z >>> storage_writer=fs_storage_writer, 2024-04-03T16:54:26.4785244Z >>> ) 2024-04-03T16:54:26.4785332Z >>> 2024-04-03T16:54:26.4785458Z >>> # ... do some work ... 2024-04-03T16:54:26.4785549Z >>> 2024-04-03T16:54:26.4785682Z >>> checkpoint_future.result() 2024-04-03T16:54:26.4785775Z 2024-04-03T16:54:26.4785866Z 2024-04-03T16:54:26.4786255Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4786353Z 2024-04-03T16:54:26.4786458Z warnings.warn(msg) 2024-04-03T16:54:26.4786544Z 2024-04-03T16:54:26.4786747Z --- Parse Warning: 40 / 87 --- 2024-04-03T16:54:26.4788115Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixedPrecision in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=113. 2024-04-03T16:54:26.4788563Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4788659Z 2024-04-03T16:54:26.4788915Z This configures FSDP-native mixed precision training. 2024-04-03T16:54:26.4788998Z 2024-04-03T16:54:26.4789107Z Attributes: 2024-04-03T16:54:26.4789415Z param_dtype (Optional[torch.dtype]): This specifies the dtype for model 2024-04-03T16:54:26.4789696Z parameters during forward and backward and thus the dtype for 2024-04-03T16:54:26.4790032Z forward and backward computation. Outside forward and backward, the 2024-04-03T16:54:26.4790287Z *sharded* parameters are kept in full precision (e.g. for the 2024-04-03T16:54:26.4790570Z optimizer step), and for model checkpointing, the parameters are 2024-04-03T16:54:26.4790772Z always saved in full precision. (Default: ``None``) 2024-04-03T16:54:26.4791050Z reduce_dtype (Optional[torch.dtype]): This specifies the dtype for 2024-04-03T16:54:26.4791401Z gradient reduction (i.e. reduce-scatter or all-reduce). If this is 2024-04-03T16:54:26.4791649Z ``None`` but ``param_dtype`` is not ``None``, then this takes on 2024-04-03T16:54:26.4791945Z the ``param_dtype`` value, still running gradient reduction in low 2024-04-03T16:54:26.4792263Z precision. This is permitted to differ from ``param_dtype``, e.g. 2024-04-03T16:54:26.4792525Z to force gradient reduction to run in full precision. (Default: 2024-04-03T16:54:26.4792636Z ``None``) 2024-04-03T16:54:26.4792911Z buffer_dtype (Optional[torch.dtype]): This specifies the dtype for 2024-04-03T16:54:26.4793181Z buffers. FSDP does not shard buffers. Rather, FSDP casts them to 2024-04-03T16:54:26.4793446Z ``buffer_dtype`` in the first forward pass and keeps them in that 2024-04-03T16:54:26.4793721Z dtype thereafter. For model checkpointing, the buffers are saved 2024-04-03T16:54:26.4793963Z in full precision except for ``LOCAL_STATE_DICT``. (Default: 2024-04-03T16:54:26.4794065Z ``None``) 2024-04-03T16:54:26.4794319Z keep_low_precision_grads (bool): If ``False``, then FSDP upcasts 2024-04-03T16:54:26.4794604Z gradients to full precision after the backward pass in preparation 2024-04-03T16:54:26.4794893Z for the optimizer step. If ``True``, then FSDP keeps the gradients 2024-04-03T16:54:26.4795174Z in the dtype used for gradient reduction, which can save memory if 2024-04-03T16:54:26.4795453Z using a custom optimizer that supports running in low precision. 2024-04-03T16:54:26.4795565Z (Default: ``False``) 2024-04-03T16:54:26.4795837Z cast_forward_inputs (bool): If ``True``, then this FSDP module casts 2024-04-03T16:54:26.4796118Z its forward args and kwargs to ``param_dtype``. This is to ensure 2024-04-03T16:54:26.4796393Z that parameter and input dtypes match for forward computation, as 2024-04-03T16:54:26.4796673Z required by many ops. This may need to be set to ``True`` when only 2024-04-03T16:54:26.4796963Z applying mixed precision to some but not all FSDP modules, in which 2024-04-03T16:54:26.4797309Z case a mixed-precision FSDP submodule needs to recast its inputs. 2024-04-03T16:54:26.4797421Z (Default: ``False``) 2024-04-03T16:54:26.4797711Z cast_root_forward_inputs (bool): If ``True``, then the root FSDP module 2024-04-03T16:54:26.4797978Z casts its forward args and kwargs to ``param_dtype``, overriding 2024-04-03T16:54:26.4798307Z the value of ``cast_forward_inputs``. For non-root FSDP modules, 2024-04-03T16:54:26.4798490Z this does not do anything. (Default: ``True``) 2024-04-03T16:54:26.4798768Z _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies 2024-04-03T16:54:26.4799054Z module classes to ignore for mixed precision when using an 2024-04-03T16:54:26.4799292Z ``auto_wrap_policy``: Modules of these classes will have FSDP 2024-04-03T16:54:26.4799566Z applied to them separately with mixed precision disabled (meaning 2024-04-03T16:54:26.4799851Z that the final FSDP construction would deviate from the specified 2024-04-03T16:54:26.4800111Z policy). If ``auto_wrap_policy`` is not specified, then this does 2024-04-03T16:54:26.4800389Z not do anything. This API is experimental and subject to change. 2024-04-03T16:54:26.4800544Z (Default: ``(_BatchNorm,)``) 2024-04-03T16:54:26.4800631Z 2024-04-03T16:54:26.4800858Z .. note:: This API is experimental and subject to change. 2024-04-03T16:54:26.4800942Z 2024-04-03T16:54:26.4801233Z .. note:: Only floating point tensors are cast to their specified dtypes. 2024-04-03T16:54:26.4801327Z 2024-04-03T16:54:26.4801570Z .. note:: In ``summon_full_params``, parameters are forced to full 2024-04-03T16:54:26.4801698Z precision, but buffers are not. 2024-04-03T16:54:26.4801789Z 2024-04-03T16:54:26.4802065Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when 2024-04-03T16:54:26.4802353Z their inputs are in a low precision like ``float16`` or ``bfloat16``. 2024-04-03T16:54:26.4802759Z Disabling FSDP's mixed precision for those norm modules only means that 2024-04-03T16:54:26.4803071Z the affine parameters are kept in ``float32``. However, this incurs 2024-04-03T16:54:26.4803455Z separate all-gathers and reduce-scatters for those norm modules, which 2024-04-03T16:54:26.4803754Z may be inefficient, so if the workload permits, the user should prefer 2024-04-03T16:54:26.4803943Z to still apply mixed precision to those modules. 2024-04-03T16:54:26.4804038Z 2024-04-03T16:54:26.4804324Z .. note:: By default, if the user passes a model with any ``_BatchNorm`` 2024-04-03T16:54:26.4804594Z modules and specifies an ``auto_wrap_policy``, then the batch norm 2024-04-03T16:54:26.4804900Z modules will have FSDP applied to them separately with mixed precision 2024-04-03T16:54:26.4805123Z disabled. See the ``_module_classes_to_ignore`` argument. 2024-04-03T16:54:26.4805208Z 2024-04-03T16:54:26.4805484Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and 2024-04-03T16:54:26.4805763Z ``cast_forward_inputs=False`` by default. For the root FSDP instance, 2024-04-03T16:54:26.4805994Z its ``cast_root_forward_inputs`` takes precedence over its 2024-04-03T16:54:26.4806279Z ``cast_forward_inputs``. For non-root FSDP instances, their 2024-04-03T16:54:26.4806559Z ``cast_root_forward_inputs`` values are ignored. The default setting is 2024-04-03T16:54:26.4806861Z sufficient for the typical case where each FSDP instance has the same 2024-04-03T16:54:26.4807146Z ``MixedPrecision`` configuration and only needs to cast inputs to the 2024-04-03T16:54:26.4807442Z ``param_dtype`` at the beginning of the model's forward pass. 2024-04-03T16:54:26.4807537Z 2024-04-03T16:54:26.4807816Z .. note:: For nested FSDP instances with different ``MixedPrecision`` 2024-04-03T16:54:26.4808129Z configurations, we recommend setting individual ``cast_forward_inputs`` 2024-04-03T16:54:26.4808427Z values to configure casting inputs or not before each instance's 2024-04-03T16:54:26.4808691Z forward. In such a case, since the casts happen before each FSDP 2024-04-03T16:54:26.4809035Z instance's forward, a parent FSDP instance should have its non-FSDP 2024-04-03T16:54:26.4809338Z submodules run before its FSDP submodules to avoid the activation dtype 2024-04-03T16:54:26.4809621Z being changed due to a different ``MixedPrecision`` configuration. 2024-04-03T16:54:26.4809749Z 2024-04-03T16:54:26.4809847Z Example:: 2024-04-03T16:54:26.4809931Z 2024-04-03T16:54:26.4810112Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:26.4810337Z >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3)) 2024-04-03T16:54:26.4810445Z >>> model[1] = FSDP( 2024-04-03T16:54:26.4810555Z >>> model[1], 2024-04-03T16:54:26.4810940Z >>> mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True), 2024-04-03T16:54:26.4811040Z >>> ) 2024-04-03T16:54:26.4811142Z >>> model = FSDP( 2024-04-03T16:54:26.4811240Z >>> model, 2024-04-03T16:54:26.4811661Z >>> mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True), 2024-04-03T16:54:26.4811752Z >>> ) 2024-04-03T16:54:26.4811834Z 2024-04-03T16:54:26.4812135Z The above shows a working example. On the other hand, if ``model[1]`` 2024-04-03T16:54:26.4812399Z were replaced with ``model[0]``, meaning that the submodule using 2024-04-03T16:54:26.4812685Z different ``MixedPrecision`` ran its forward first, then ``model[1]`` 2024-04-03T16:54:26.4812977Z would incorrectly see ``float16`` activations instead of ``bfloat16`` 2024-04-03T16:54:26.4813069Z ones. 2024-04-03T16:54:26.4813157Z 2024-04-03T16:54:26.4813252Z 2024-04-03T16:54:26.4813672Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4813788Z 2024-04-03T16:54:26.4813910Z warnings.warn(msg) 2024-04-03T16:54:26.4813997Z 2024-04-03T16:54:26.4814296Z --- Parse Warning: 41 / 87 --- 2024-04-03T16:54:26.4816029Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=651. 2024-04-03T16:54:26.4816435Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4816795Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2024-04-03T16:54:26.4816883Z 2024-04-03T16:54:26.4817304Z Also takes (optional) configuration for the model's and optimizer's state dict. 2024-04-03T16:54:26.4817600Z The target module does not have to be a FSDP module. If the target 2024-04-03T16:54:26.4817893Z module is a FSDP module, its ``state_dict_type`` will also be changed. 2024-04-03T16:54:26.4817989Z 2024-04-03T16:54:26.4818320Z .. note:: This API should be called for only the top-level (root) 2024-04-03T16:54:26.4818421Z module. 2024-04-03T16:54:26.4818513Z 2024-04-03T16:54:26.4818806Z .. note:: This API enables users to transparently use the conventional 2024-04-03T16:54:26.4819065Z ``state_dict`` API to take model checkpoints in cases where the 2024-04-03T16:54:26.4819362Z root FSDP module is wrapped by another ``nn.Module``. For example, 2024-04-03T16:54:26.4819703Z the following will ensure ``state_dict`` is called on all non-FSDP 2024-04-03T16:54:26.4820003Z instances, while dispatching into `sharded_state_dict` implementation 2024-04-03T16:54:26.4820116Z for FSDP: 2024-04-03T16:54:26.4820206Z 2024-04-03T16:54:26.4820311Z Example:: 2024-04-03T16:54:26.4820407Z 2024-04-03T16:54:26.4820586Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:26.4820733Z >>> model = DDP(FSDP(...)) 2024-04-03T16:54:26.4820871Z >>> FSDP.set_state_dict_type( 2024-04-03T16:54:26.4820974Z >>> model, 2024-04-03T16:54:26.4821158Z >>> StateDictType.SHARDED_STATE_DICT, 2024-04-03T16:54:26.4821444Z >>> state_dict_config = ShardedStateDictConfig(offload_to_cpu=True), 2024-04-03T16:54:26.4821775Z >>> optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True), 2024-04-03T16:54:26.4821881Z >>> ) 2024-04-03T16:54:26.4822158Z >>> param_state_dict = model.state_dict() 2024-04-03T16:54:26.4822383Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2024-04-03T16:54:26.4822480Z 2024-04-03T16:54:26.4822576Z Args: 2024-04-03T16:54:26.4822744Z module (torch.nn.Module): Root module. 2024-04-03T16:54:26.4823054Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2024-04-03T16:54:26.4823406Z state_dict_config (Optional[StateDictConfig]): the configuration for the 2024-04-03T16:54:26.4823556Z target ``state_dict_type``. 2024-04-03T16:54:26.4823887Z optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration 2024-04-03T16:54:26.4824036Z for the optimizer state dict. 2024-04-03T16:54:26.4824133Z 2024-04-03T16:54:26.4824228Z Returns: 2024-04-03T16:54:26.4824514Z A StateDictSettings that include the previous state_dict type and 2024-04-03T16:54:26.4824664Z configuration for the module. 2024-04-03T16:54:26.4824757Z 2024-04-03T16:54:26.4825179Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4825319Z 2024-04-03T16:54:26.4825425Z warnings.warn(msg) 2024-04-03T16:54:26.4825507Z 2024-04-03T16:54:26.4825721Z --- Parse Warning: 42 / 87 --- 2024-04-03T16:54:26.4827428Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=798. 2024-04-03T16:54:26.4827846Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4828194Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2024-04-03T16:54:26.4828278Z 2024-04-03T16:54:26.4828716Z This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of 2024-04-03T16:54:26.4828887Z :meth:`set_state_dict_type` for the detail. 2024-04-03T16:54:26.4828975Z 2024-04-03T16:54:26.4829087Z Example:: 2024-04-03T16:54:26.4829170Z 2024-04-03T16:54:26.4829347Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:26.4829487Z >>> model = DDP(FSDP(...)) 2024-04-03T16:54:26.4829627Z >>> with FSDP.state_dict_type( 2024-04-03T16:54:26.4829727Z >>> model, 2024-04-03T16:54:26.4829910Z >>> StateDictType.SHARDED_STATE_DICT, 2024-04-03T16:54:26.4830001Z >>> ): 2024-04-03T16:54:26.4830171Z >>> checkpoint = model.state_dict() 2024-04-03T16:54:26.4830256Z 2024-04-03T16:54:26.4830348Z Args: 2024-04-03T16:54:26.4830519Z module (torch.nn.Module): Root module. 2024-04-03T16:54:26.4830823Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2024-04-03T16:54:26.4831125Z state_dict_config (Optional[StateDictConfig]): the model ``state_dict`` 2024-04-03T16:54:26.4831342Z configuration for the target ``state_dict_type``. 2024-04-03T16:54:26.4831641Z optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer 2024-04-03T16:54:26.4831909Z ``state_dict`` configuration for the target ``state_dict_type``. 2024-04-03T16:54:26.4832011Z 2024-04-03T16:54:26.4832396Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4832483Z 2024-04-03T16:54:26.4832602Z warnings.warn(msg) 2024-04-03T16:54:26.4832721Z 2024-04-03T16:54:26.4832920Z --- Parse Warning: 43 / 87 --- 2024-04-03T16:54:26.4834636Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1775. 2024-04-03T16:54:26.4835033Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4835128Z 2024-04-03T16:54:26.4835511Z Transform the state-dict of an optimizer corresponding to a sharded model. 2024-04-03T16:54:26.4835626Z 2024-04-03T16:54:26.4835950Z The given state-dict can be transformed to one of three types: 2024-04-03T16:54:26.4836345Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict. 2024-04-03T16:54:26.4836432Z 2024-04-03T16:54:26.4836750Z For full optimizer state_dict, all states are unflattened and not sharded. 2024-04-03T16:54:26.4837053Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to 2024-04-03T16:54:26.4837158Z avoid OOM. 2024-04-03T16:54:26.4837244Z 2024-04-03T16:54:26.4837547Z For sharded optimizer state_dict, all states are unflattened but sharded. 2024-04-03T16:54:26.4837844Z CPU only can be specified via :meth:`state_dict_type` to further save 2024-04-03T16:54:26.4837960Z memory. 2024-04-03T16:54:26.4838075Z 2024-04-03T16:54:26.4838373Z For local state_dict, no transformation will be performed. But a state 2024-04-03T16:54:26.4838703Z will be converted from nn.Tensor to ShardedTensor to represent its sharding 2024-04-03T16:54:26.4838837Z nature (this is not supported yet). 2024-04-03T16:54:26.4838929Z 2024-04-03T16:54:26.4839024Z Example:: 2024-04-03T16:54:26.4839107Z 2024-04-03T16:54:26.4839279Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:26.4839593Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2024-04-03T16:54:26.4839803Z >>> from torch.distributed.fsdp import StateDictType 2024-04-03T16:54:26.4840046Z >>> from torch.distributed.fsdp import FullStateDictConfig 2024-04-03T16:54:26.4840305Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2024-04-03T16:54:26.4840429Z >>> # Save a checkpoint 2024-04-03T16:54:26.4840539Z >>> model, optim = ... 2024-04-03T16:54:26.4840665Z >>> FSDP.set_state_dict_type( 2024-04-03T16:54:26.4840767Z >>> model, 2024-04-03T16:54:26.4840917Z >>> StateDictType.FULL_STATE_DICT, 2024-04-03T16:54:26.4841091Z >>> FullStateDictConfig(rank0_only=False), 2024-04-03T16:54:26.4841295Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-04-03T16:54:26.4841387Z >>> ) 2024-04-03T16:54:26.4841524Z >>> state_dict = model.state_dict() 2024-04-03T16:54:26.4841754Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2024-04-03T16:54:26.4841940Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2024-04-03T16:54:26.4842050Z >>> # Load a checkpoint 2024-04-03T16:54:26.4842164Z >>> model, optim = ... 2024-04-03T16:54:26.4842358Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2024-04-03T16:54:26.4842479Z >>> FSDP.set_state_dict_type( 2024-04-03T16:54:26.4842580Z >>> model, 2024-04-03T16:54:26.4842728Z >>> StateDictType.FULL_STATE_DICT, 2024-04-03T16:54:26.4842900Z >>> FullStateDictConfig(rank0_only=False), 2024-04-03T16:54:26.4843092Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-04-03T16:54:26.4843182Z >>> ) 2024-04-03T16:54:26.4843333Z >>> model.load_state_dict(state_dict) 2024-04-03T16:54:26.4843524Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2024-04-03T16:54:26.4843665Z >>> model, optim, optim_state_dict 2024-04-03T16:54:26.4843795Z >>> ) 2024-04-03T16:54:26.4843949Z >>> optim.load_state_dict(optim_state_dict) 2024-04-03T16:54:26.4844030Z 2024-04-03T16:54:26.4844127Z Args: 2024-04-03T16:54:26.4844385Z model (torch.nn.Module): Root module (which may or may not be a 2024-04-03T16:54:26.4844648Z :class:`FullyShardedDataParallel` instance) whose parameters 2024-04-03T16:54:26.4844835Z were passed into the optimizer ``optim``. 2024-04-03T16:54:26.4845114Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2024-04-03T16:54:26.4845219Z parameters. 2024-04-03T16:54:26.4845539Z optim_state_dict (Dict[str, Any]): the target optimizer state_dict to 2024-04-03T16:54:26.4845826Z transform. If the value is None, optim.state_dict() will be used. ( 2024-04-03T16:54:26.4845954Z Default: ``None``) 2024-04-03T16:54:26.4846336Z group (dist.ProcessGroup): Model's process group across which parameters 2024-04-03T16:54:26.4846589Z are sharded or ``None`` if using the default process group. ( 2024-04-03T16:54:26.4846711Z Default: ``None``) 2024-04-03T16:54:26.4852989Z 2024-04-03T16:54:26.4853129Z Returns: 2024-04-03T16:54:26.4853416Z Dict[str, Any]: A :class:`dict` containing the optimizer state for 2024-04-03T16:54:26.4853659Z ``model``. The sharding of the optimizer state is based on 2024-04-03T16:54:26.4853844Z ``state_dict_type``. 2024-04-03T16:54:26.4853958Z 2024-04-03T16:54:26.4854484Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4854568Z 2024-04-03T16:54:26.4854682Z warnings.warn(msg) 2024-04-03T16:54:26.4854773Z 2024-04-03T16:54:26.4854976Z --- Parse Warning: 44 / 87 --- 2024-04-03T16:54:26.4856752Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1872. 2024-04-03T16:54:26.4857161Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4857246Z 2024-04-03T16:54:26.4857836Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model. 2024-04-03T16:54:26.4857919Z 2024-04-03T16:54:26.4858136Z Given a ``optim_state_dict`` that is transformed through 2024-04-03T16:54:26.4858427Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer 2024-04-03T16:54:26.4858715Z state_dict that can be loaded to ``optim`` which is the optimizer for 2024-04-03T16:54:26.4858978Z ``model``. ``model`` must be sharded by FullyShardedDataParallel. 2024-04-03T16:54:26.4859061Z 2024-04-03T16:54:26.4859227Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:26.4859550Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2024-04-03T16:54:26.4859764Z >>> from torch.distributed.fsdp import StateDictType 2024-04-03T16:54:26.4860001Z >>> from torch.distributed.fsdp import FullStateDictConfig 2024-04-03T16:54:26.4860271Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2024-04-03T16:54:26.4860386Z >>> # Save a checkpoint 2024-04-03T16:54:26.4860495Z >>> model, optim = ... 2024-04-03T16:54:26.4860625Z >>> FSDP.set_state_dict_type( 2024-04-03T16:54:26.4860723Z >>> model, 2024-04-03T16:54:26.4860874Z >>> StateDictType.FULL_STATE_DICT, 2024-04-03T16:54:26.4861054Z >>> FullStateDictConfig(rank0_only=False), 2024-04-03T16:54:26.4861249Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-04-03T16:54:26.4861341Z >>> ) 2024-04-03T16:54:26.4861485Z >>> state_dict = model.state_dict() 2024-04-03T16:54:26.4861633Z >>> original_osd = optim.state_dict() 2024-04-03T16:54:26.4861853Z >>> optim_state_dict = FSDP.optim_state_dict( 2024-04-03T16:54:26.4861947Z >>> model, 2024-04-03T16:54:26.4862183Z >>> optim, 2024-04-03T16:54:26.4862340Z >>> optim_state_dict=original_osd 2024-04-03T16:54:26.4862429Z >>> ) 2024-04-03T16:54:26.4862616Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2024-04-03T16:54:26.4862740Z >>> # Load a checkpoint 2024-04-03T16:54:26.4862850Z >>> model, optim = ... 2024-04-03T16:54:26.4863048Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2024-04-03T16:54:26.4863185Z >>> FSDP.set_state_dict_type( 2024-04-03T16:54:26.4863336Z >>> model, 2024-04-03T16:54:26.4863490Z >>> StateDictType.FULL_STATE_DICT, 2024-04-03T16:54:26.4863674Z >>> FullStateDictConfig(rank0_only=False), 2024-04-03T16:54:26.4863867Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-04-03T16:54:26.4863959Z >>> ) 2024-04-03T16:54:26.4864114Z >>> model.load_state_dict(state_dict) 2024-04-03T16:54:26.4864309Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2024-04-03T16:54:26.4864460Z >>> model, optim, optim_state_dict 2024-04-03T16:54:26.4864548Z >>> ) 2024-04-03T16:54:26.4864703Z >>> optim.load_state_dict(optim_state_dict) 2024-04-03T16:54:26.4864796Z 2024-04-03T16:54:26.4864884Z Args: 2024-04-03T16:54:26.4865177Z model (torch.nn.Module): Root module (which may or may not be a 2024-04-03T16:54:26.4865489Z :class:`FullyShardedDataParallel` instance) whose parameters 2024-04-03T16:54:26.4865659Z were passed into the optimizer ``optim``. 2024-04-03T16:54:26.4865936Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2024-04-03T16:54:26.4866052Z parameters. 2024-04-03T16:54:26.4866332Z optim_state_dict (Dict[str, Any]): The optimizer states to be loaded. 2024-04-03T16:54:26.4866592Z is_named_optimizer (bool): Is this optimizer a NamedOptimizer or 2024-04-03T16:54:26.4866884Z KeyedOptimizer. Only set to True if ``optim`` is TorchRec's 2024-04-03T16:54:26.4867167Z KeyedOptimizer or torch.distributed's NamedOptimizer. 2024-04-03T16:54:26.4867422Z load_directly (bool): If this is set to True, this API will also 2024-04-03T16:54:26.4867690Z call optim.load_state_dict(result) before returning the result. 2024-04-03T16:54:26.4867975Z Otherwise, users are responsible to call ``optim.load_state_dict()`` 2024-04-03T16:54:26.4868100Z (Default: ``False``) 2024-04-03T16:54:26.4868478Z group (dist.ProcessGroup): Model's process group across which parameters 2024-04-03T16:54:26.4868729Z are sharded or ``None`` if using the default process group. ( 2024-04-03T16:54:26.4868848Z Default: ``None``) 2024-04-03T16:54:26.4868932Z 2024-04-03T16:54:26.4869319Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4869418Z 2024-04-03T16:54:26.4869528Z warnings.warn(msg) 2024-04-03T16:54:26.4869615Z 2024-04-03T16:54:26.4869824Z --- Parse Warning: 45 / 87 --- 2024-04-03T16:54:26.4871313Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.__init__ in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=136. 2024-04-03T16:54:26.4871728Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4871811Z 2024-04-03T16:54:26.4872100Z RemoteModule instance can only be created after RPC initialization. 2024-04-03T16:54:26.4872197Z 2024-04-03T16:54:26.4872511Z It creates a user-specified module on a specified remote node. 2024-04-03T16:54:26.4872831Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2024-04-03T16:54:26.4872961Z executed on the remote node. 2024-04-03T16:54:26.4873319Z It takes care of autograd recording to ensure the backward pass propagates 2024-04-03T16:54:26.4873517Z gradients back to the corresponding remote module. 2024-04-03T16:54:26.4874002Z It can be shared across processors using `RPC framework `__, 2024-04-03T16:54:26.4874254Z without incurring any overheads of copying the actual module, 2024-04-03T16:54:26.4874533Z which is equivalent to an :class:`~torch.distributed.rpc.RRef` 2024-04-03T16:54:26.4874659Z pointing to the remote module. 2024-04-03T16:54:26.4874746Z 2024-04-03T16:54:26.4875057Z The arguments of ``forward_async`` and ``forward`` are the same as 2024-04-03T16:54:26.4875324Z the ``forward`` method of the module returned by the ``module_cls``. 2024-04-03T16:54:26.4875410Z 2024-04-03T16:54:26.4875838Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now. 2024-04-03T16:54:26.4875922Z 2024-04-03T16:54:26.4876256Z Particularly, to create a hybrid model, typically the local modules should be 2024-04-03T16:54:26.4876765Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``). 2024-04-03T16:54:26.4876867Z Hybrid Example: 2024-04-03T16:54:26.4877011Z >>> class HybridModel(nn.Module): 2024-04-03T16:54:26.4877140Z >>> def __init__(self): 2024-04-03T16:54:26.4877316Z >>> nn.Module.__init__(self) 2024-04-03T16:54:26.4877550Z >>> self.remote_embedding = RemoteModule(...) 2024-04-03T16:54:26.4877719Z >>> self.local_linear = nn.Linear(...) 2024-04-03T16:54:26.4877806Z 2024-04-03T16:54:26.4878088Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2024-04-03T16:54:26.4878495Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``, 2024-04-03T16:54:26.4878766Z the generated ``RemoteModule`` will have 2 methods in signature of 2024-04-03T16:54:26.4878991Z ``def forward(input: Tensor) -> Tensor:`` and 2024-04-03T16:54:26.4879252Z ``def forward_async(input: Tensor) -> Future[Tensor]:``. 2024-04-03T16:54:26.4879340Z 2024-04-03T16:54:26.4879457Z .. note:: 2024-04-03T16:54:26.4879647Z If the remote module is placed on a cuda device, 2024-04-03T16:54:26.4879972Z any input CPU tensors will be automatically moved to the same cuda device, 2024-04-03T16:54:26.4880551Z and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend. 2024-04-03T16:54:26.4880636Z 2024-04-03T16:54:26.4880739Z Args: 2024-04-03T16:54:26.4881218Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-04-03T16:54:26.4881639Z The device can be a local device or a remote device specified by one of the following remote 2024-04-03T16:54:26.4881748Z formats: 2024-04-03T16:54:26.4881832Z 2024-04-03T16:54:26.4882019Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2024-04-03T16:54:26.4882229Z 2. "/" (ex: "trainer0/cuda:0"). 2024-04-03T16:54:26.4882315Z 2024-04-03T16:54:26.4882648Z In addition, the device field can be optional and the default value is "cpu". 2024-04-03T16:54:26.4882807Z module_cls (nn.Module): For example, 2024-04-03T16:54:26.4882941Z >>> class MyModule(nn.Module): 2024-04-03T16:54:26.4883067Z >>> def forward(input): 2024-04-03T16:54:26.4883203Z >>> return input + 1 2024-04-03T16:54:26.4883296Z >>> 2024-04-03T16:54:26.4883413Z >>> module_cls = MyModule 2024-04-03T16:54:26.4883683Z args (Sequence, optional): args to be passed to ``module_cls``. 2024-04-03T16:54:26.4883936Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2024-04-03T16:54:26.4884306Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2024-04-03T16:54:26.4884668Z to be created. The type object should be decorated by @torch.jit.interface. 2024-04-03T16:54:26.4885036Z If not provided, the generated RemoteModule is not torchscript-able. 2024-04-03T16:54:26.4885367Z Warning, this is an experimental API and susceptible to frequent changes. 2024-04-03T16:54:26.4885451Z 2024-04-03T16:54:26.4885546Z Returns: 2024-04-03T16:54:26.4885873Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-04-03T16:54:26.4886265Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2024-04-03T16:54:26.4886615Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-04-03T16:54:26.4886855Z on the user-provided module on the remote side. 2024-04-03T16:54:26.4886939Z 2024-04-03T16:54:26.4887046Z Example:: 2024-04-03T16:54:26.4887247Z Run the following code in two different processes: 2024-04-03T16:54:26.4887331Z 2024-04-03T16:54:26.4887481Z >>> # xdoctest: +SKIP("distributed") 2024-04-03T16:54:26.4887584Z >>> # On worker 0: 2024-04-03T16:54:26.4887687Z >>> import torch 2024-04-03T16:54:26.4887855Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:26.4887985Z >>> from torch import nn, Tensor 2024-04-03T16:54:26.4888303Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-04-03T16:54:26.4888431Z >>> 2024-04-03T16:54:26.4888606Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-04-03T16:54:26.4888761Z >>> remote_linear_module = RemoteModule( 2024-04-03T16:54:26.4888938Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-04-03T16:54:26.4889027Z >>> ) 2024-04-03T16:54:26.4889160Z >>> input = torch.randn(128, 20) 2024-04-03T16:54:26.4889371Z >>> ret_fut = remote_linear_module.forward_async(input) 2024-04-03T16:54:26.4889487Z >>> ret = ret_fut.wait() 2024-04-03T16:54:26.4889592Z >>> rpc.shutdown() 2024-04-03T16:54:26.4889686Z 2024-04-03T16:54:26.4889787Z >>> # On worker 1: 2024-04-03T16:54:26.4889899Z >>> import torch 2024-04-03T16:54:26.4890057Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:26.4890145Z >>> 2024-04-03T16:54:26.4890329Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-04-03T16:54:26.4890436Z >>> rpc.shutdown() 2024-04-03T16:54:26.4890518Z 2024-04-03T16:54:26.4890918Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4891001Z 2024-04-03T16:54:26.4891107Z warnings.warn(msg) 2024-04-03T16:54:26.4891199Z 2024-04-03T16:54:26.4891397Z --- Parse Warning: 46 / 87 --- 2024-04-03T16:54:26.4892965Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=512. 2024-04-03T16:54:26.4893378Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4893462Z 2024-04-03T16:54:26.4893894Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef. 2024-04-03T16:54:26.4893979Z 2024-04-03T16:54:26.4894492Z This alternate initialization method can be particularly useful if we want to create multiple 2024-04-03T16:54:26.4894920Z RemoteModule instances that share the same underlying module and reduce memory consumption. 2024-04-03T16:54:26.4895006Z 2024-04-03T16:54:26.4895368Z Moreover, this also provides a workaround for passing script RemoteModule over RPC, 2024-04-03T16:54:26.4895613Z which is not supported. The recommended way is as follows: 2024-04-03T16:54:26.4895700Z 2024-04-03T16:54:26.4895889Z 1. the sender creates a RemoteModule; 2024-04-03T16:54:26.4896089Z 2. the sender sends its ``module_rref`` over RPC; 2024-04-03T16:54:26.4896538Z 3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``. 2024-04-03T16:54:26.4896626Z 2024-04-03T16:54:26.4896735Z Example:: 2024-04-03T16:54:26.4896935Z Run the following code in two different processes: 2024-04-03T16:54:26.4897021Z 2024-04-03T16:54:26.4897174Z >>> # xdoctest: +SKIP("distributed") 2024-04-03T16:54:26.4897281Z >>> # On worker 0: 2024-04-03T16:54:26.4897398Z >>> import torch 2024-04-03T16:54:26.4897591Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:26.4897726Z >>> from torch import nn, Tensor 2024-04-03T16:54:26.4898023Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-04-03T16:54:26.4898109Z >>> 2024-04-03T16:54:26.4898282Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-04-03T16:54:26.4898429Z >>> remote_module = RemoteModule( 2024-04-03T16:54:26.4898596Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-04-03T16:54:26.4898688Z >>> ) 2024-04-03T16:54:26.4898787Z >>> 2024-04-03T16:54:26.4898922Z >>> remote_module1 = rpc.rpc_sync( 2024-04-03T16:54:26.4899031Z >>> "worker1/cpu", 2024-04-03T16:54:26.4899201Z >>> RemoteModule.init_from_module_rref, 2024-04-03T16:54:26.4899430Z >>> ("worker1/cpu", remote_module1.get_module_rref()), 2024-04-03T16:54:26.4899552Z >>> ) 2024-04-03T16:54:26.4899670Z >>> rpc.shutdown() 2024-04-03T16:54:26.4899756Z 2024-04-03T16:54:26.4899865Z >>> # On worker 1: 2024-04-03T16:54:26.4899977Z >>> import torch 2024-04-03T16:54:26.4900136Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:26.4900236Z >>> 2024-04-03T16:54:26.4900412Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-04-03T16:54:26.4900519Z >>> rpc.shutdown() 2024-04-03T16:54:26.4900613Z 2024-04-03T16:54:26.4900701Z Args: 2024-04-03T16:54:26.4901184Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-04-03T16:54:26.4901610Z The device can be a local device or a remote device specified by one of the following remote 2024-04-03T16:54:26.4901706Z formats: 2024-04-03T16:54:26.4901793Z 2024-04-03T16:54:26.4901989Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2024-04-03T16:54:26.4902314Z 2. "/" (ex: "trainer0/cuda:0"). 2024-04-03T16:54:26.4902403Z 2024-04-03T16:54:26.4902752Z In addition, the device field can be optional and the default value is "cpu". 2024-04-03T16:54:26.4903090Z module_rref (RRef[nn.Module]): The module reference shared by both the caller and 2024-04-03T16:54:26.4903217Z the created remote module. 2024-04-03T16:54:26.4903588Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2024-04-03T16:54:26.4903920Z to be created. The type object should be decorated by @torch.jit.interface. 2024-04-03T16:54:26.4904297Z If not provided, the generated RemoteModule is not torchscript-able. 2024-04-03T16:54:26.4904619Z Warning, this is an experimental API and susceptible to frequent changes. 2024-04-03T16:54:26.4904707Z 2024-04-03T16:54:26.4904809Z Returns: 2024-04-03T16:54:26.4905128Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-04-03T16:54:26.4905509Z user-provided ``module_rref``, it has a blocking ``forward`` method and an 2024-04-03T16:54:26.4905867Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-04-03T16:54:26.4906103Z on the user-provided module on the remote side. 2024-04-03T16:54:26.4906190Z 2024-04-03T16:54:26.4906584Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4906722Z 2024-04-03T16:54:26.4906830Z warnings.warn(msg) 2024-04-03T16:54:26.4906926Z 2024-04-03T16:54:26.4907126Z --- Parse Warning: 47 / 87 --- 2024-04-03T16:54:26.4908585Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RemoteModule in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=604. 2024-04-03T16:54:26.4908988Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4909075Z 2024-04-03T16:54:26.4909425Z A RemoteModule instance can only be created after RPC initialization. 2024-04-03T16:54:26.4909510Z 2024-04-03T16:54:26.4909837Z It creates a user-specified module on a specified remote node. 2024-04-03T16:54:26.4910172Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2024-04-03T16:54:26.4910300Z executed on the remote node. 2024-04-03T16:54:26.4910622Z It takes care of autograd recording to ensure the backward pass propagates 2024-04-03T16:54:26.4910835Z gradients back to the corresponding remote module. 2024-04-03T16:54:26.4910922Z 2024-04-03T16:54:26.4911223Z It generates two methods ``forward_async`` and ``forward`` based on the 2024-04-03T16:54:26.4911546Z signature of the ``forward`` method of ``module_cls``. ``forward_async`` 2024-04-03T16:54:26.4911926Z runs asynchronously and returns a Future. The arguments of ``forward_async`` 2024-04-03T16:54:26.4912205Z and ``forward`` are the same as the ``forward`` method of the module 2024-04-03T16:54:26.4912334Z returned by the ``module_cls``. 2024-04-03T16:54:26.4912419Z 2024-04-03T16:54:26.4912700Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2024-04-03T16:54:26.4913112Z that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``, 2024-04-03T16:54:26.4913413Z the generated ``RemoteModule`` will have 2 methods with the signatures: 2024-04-03T16:54:26.4913508Z 2024-04-03T16:54:26.4913719Z | ``def forward(input: Tensor) -> Tensor:`` 2024-04-03T16:54:26.4913994Z | ``def forward_async(input: Tensor) -> Future[Tensor]:`` 2024-04-03T16:54:26.4914079Z 2024-04-03T16:54:26.4914171Z Args: 2024-04-03T16:54:26.4914659Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-04-03T16:54:26.4915121Z The format should be "/", where the device field can be parsed as torch.device type. 2024-04-03T16:54:26.4915310Z E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0". 2024-04-03T16:54:26.4915658Z In addition, the device field can be optional and the default value is "cpu". 2024-04-03T16:54:26.4916003Z module_cls (nn.Module): Class for the module to be created remotely. For example, 2024-04-03T16:54:26.4916092Z 2024-04-03T16:54:26.4916232Z >>> class MyModule(nn.Module): 2024-04-03T16:54:26.4916355Z >>> def forward(input): 2024-04-03T16:54:26.4916478Z >>> return input + 1 2024-04-03T16:54:26.4916581Z >>> 2024-04-03T16:54:26.4916702Z >>> module_cls = MyModule 2024-04-03T16:54:26.4916786Z 2024-04-03T16:54:26.4917054Z args (Sequence, optional): args to be passed to ``module_cls``. 2024-04-03T16:54:26.4917311Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2024-04-03T16:54:26.4917404Z 2024-04-03T16:54:26.4917497Z Returns: 2024-04-03T16:54:26.4917817Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-04-03T16:54:26.4918197Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2024-04-03T16:54:26.4918546Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-04-03T16:54:26.4918815Z on the user-provided module on the remote side. 2024-04-03T16:54:26.4918914Z 2024-04-03T16:54:26.4919014Z Example:: 2024-04-03T16:54:26.4919215Z Run the following code in two different processes: 2024-04-03T16:54:26.4919308Z 2024-04-03T16:54:26.4919453Z >>> # xdoctest: +SKIP("distributed") 2024-04-03T16:54:26.4919559Z >>> # On worker 0: 2024-04-03T16:54:26.4919673Z >>> import torch 2024-04-03T16:54:26.4919838Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:26.4919968Z >>> from torch import nn, Tensor 2024-04-03T16:54:26.4920298Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-04-03T16:54:26.4920389Z >>> 2024-04-03T16:54:26.4920575Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-04-03T16:54:26.4920729Z >>> remote_linear_module = RemoteModule( 2024-04-03T16:54:26.4920898Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-04-03T16:54:26.4920997Z >>> ) 2024-04-03T16:54:26.4921127Z >>> input = torch.randn(128, 20) 2024-04-03T16:54:26.4921332Z >>> ret_fut = remote_linear_module.forward_async(input) 2024-04-03T16:54:26.4921456Z >>> ret = ret_fut.wait() 2024-04-03T16:54:26.4921564Z >>> rpc.shutdown() 2024-04-03T16:54:26.4921648Z 2024-04-03T16:54:26.4921760Z >>> # On worker 1: 2024-04-03T16:54:26.4921863Z >>> import torch 2024-04-03T16:54:26.4922054Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:26.4922180Z >>> 2024-04-03T16:54:26.4922358Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-04-03T16:54:26.4922465Z >>> rpc.shutdown() 2024-04-03T16:54:26.4922559Z 2024-04-03T16:54:26.4922808Z Furthermore, a more practical example that is combined with 2024-04-03T16:54:26.4923420Z `DistributedDataParallel `__ (DDP) 2024-04-03T16:54:26.4923877Z can be found in this `tutorial `__. 2024-04-03T16:54:26.4923963Z 2024-04-03T16:54:26.4924360Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4924447Z 2024-04-03T16:54:26.4924552Z warnings.warn(msg) 2024-04-03T16:54:26.4924644Z 2024-04-03T16:54:26.4924842Z --- Parse Warning: 48 / 87 --- 2024-04-03T16:54:26.4926306Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedOptimizer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=127. 2024-04-03T16:54:26.4926720Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4926807Z 2024-04-03T16:54:26.4927103Z DistributedOptimizer takes remote references to parameters scattered 2024-04-03T16:54:26.4927432Z across workers and applies the given optimizer locally for each parameter. 2024-04-03T16:54:26.4927519Z 2024-04-03T16:54:26.4927850Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order 2024-04-03T16:54:26.4928044Z to retrieve the gradients for specific parameters. 2024-04-03T16:54:26.4928130Z 2024-04-03T16:54:26.4928248Z Concurrent calls to 2024-04-03T16:54:26.4928527Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`, 2024-04-03T16:54:26.4928710Z either from the same or different clients, will 2024-04-03T16:54:26.4929087Z be serialized on each worker -- as each worker's optimizer can only work 2024-04-03T16:54:26.4929381Z on one set of gradients at a time. However, there is no guarantee that 2024-04-03T16:54:26.4929761Z the full forward-backward-optimizer sequence will execute for one client 2024-04-03T16:54:26.4930076Z at a time. This means that the gradients being applied may not correspond 2024-04-03T16:54:26.4930376Z to the latest forward pass executed on a given worker. Also, there is no 2024-04-03T16:54:26.4930551Z guaranteed ordering across workers. 2024-04-03T16:54:26.4930637Z 2024-04-03T16:54:26.4930963Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled 2024-04-03T16:54:26.4931282Z by default, so that optimizer updates are not blocked by the Python Global 2024-04-03T16:54:26.4931612Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed 2024-04-03T16:54:26.4931928Z Model Parallel). This feature is currently enabled for most optimizers. You 2024-04-03T16:54:26.4932308Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support 2024-04-03T16:54:26.4932438Z for your own custom optimizers. 2024-04-03T16:54:26.4932522Z 2024-04-03T16:54:26.4932624Z Args: 2024-04-03T16:54:26.4932877Z optimizer_class (optim.Optimizer): the class of optimizer to 2024-04-03T16:54:26.4933004Z instantiate on each worker. 2024-04-03T16:54:26.4933297Z params_rref (list[RRef]): list of RRefs to local or remote parameters 2024-04-03T16:54:26.4933401Z to optimize. 2024-04-03T16:54:26.4933698Z args: arguments to pass to the optimizer constructor on each worker. 2024-04-03T16:54:26.4933996Z kwargs: arguments to pass to the optimizer constructor on each worker. 2024-04-03T16:54:26.4934185Z 2024-04-03T16:54:26.4934291Z Example:: 2024-04-03T16:54:26.4934471Z >>> # xdoctest: +SKIP("distributed") 2024-04-03T16:54:26.4934723Z >>> import torch.distributed.autograd as dist_autograd 2024-04-03T16:54:26.4934895Z >>> import torch.distributed.rpc as rpc 2024-04-03T16:54:26.4935020Z >>> from torch import optim 2024-04-03T16:54:26.4935274Z >>> from torch.distributed.optim import DistributedOptimizer 2024-04-03T16:54:26.4935375Z >>> 2024-04-03T16:54:26.4935554Z >>> with dist_autograd.context() as context_id: 2024-04-03T16:54:26.4935663Z >>> # Forward pass. 2024-04-03T16:54:26.4935941Z >>> rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3)) 2024-04-03T16:54:26.4936208Z >>> rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1)) 2024-04-03T16:54:26.4936372Z >>> loss = rref1.to_here() + rref2.to_here() 2024-04-03T16:54:26.4936472Z >>> 2024-04-03T16:54:26.4936585Z >>> # Backward pass. 2024-04-03T16:54:26.4936791Z >>> dist_autograd.backward(context_id, [loss.sum()]) 2024-04-03T16:54:26.4936881Z >>> 2024-04-03T16:54:26.4936987Z >>> # Optimizer. 2024-04-03T16:54:26.4937151Z >>> dist_optim = DistributedOptimizer( 2024-04-03T16:54:26.4937258Z >>> optim.SGD, 2024-04-03T16:54:26.4937367Z >>> [rref1, rref2], 2024-04-03T16:54:26.4937474Z >>> lr=0.05, 2024-04-03T16:54:26.4937565Z >>> ) 2024-04-03T16:54:26.4937696Z >>> dist_optim.step(context_id) 2024-04-03T16:54:26.4937787Z 2024-04-03T16:54:26.4937982Z __ https://github.com/pytorch/tutorials/pull/1465 2024-04-03T16:54:26.4938066Z 2024-04-03T16:54:26.4938463Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4938549Z 2024-04-03T16:54:26.4938655Z warnings.warn(msg) 2024-04-03T16:54:26.4938752Z 2024-04-03T16:54:26.4938954Z --- Parse Warning: 49 / 87 --- 2024-04-03T16:54:26.4940512Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PostLocalSGDOptimizer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=8. 2024-04-03T16:54:26.4940929Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4941016Z 2024-04-03T16:54:26.4941635Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD `_, 2024-04-03T16:54:26.4941863Z This optimizer runs local optimizer at every step. 2024-04-03T16:54:26.4942513Z After the warm-up stage, it averages parameters periodically afer the local optimizer is applied. 2024-04-03T16:54:26.4942608Z 2024-04-03T16:54:26.4942699Z Args: 2024-04-03T16:54:26.4942823Z optim: The local optimizer. 2024-04-03T16:54:26.4943184Z averager: A model averager instance to run post-localSGD algorithm. 2024-04-03T16:54:26.4943270Z 2024-04-03T16:54:26.4943373Z Example:: 2024-04-03T16:54:26.4943472Z 2024-04-03T16:54:26.4943641Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:26.4943740Z >>> import torch 2024-04-03T16:54:26.4943965Z >>> import torch.distributed as dist 2024-04-03T16:54:26.4944326Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2024-04-03T16:54:26.4944456Z >>> import torch.nn as nn 2024-04-03T16:54:26.4944711Z >>> from torch.distributed.optim import PostLocalSGDOptimizer 2024-04-03T16:54:26.4945069Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2024-04-03T16:54:26.4945197Z >>> PostLocalSGDState, 2024-04-03T16:54:26.4945310Z >>> post_localSGD_hook, 2024-04-03T16:54:26.4945402Z >>> ) 2024-04-03T16:54:26.4945503Z >>> 2024-04-03T16:54:26.4945709Z >>> model = nn.parallel.DistributedDataParallel( 2024-04-03T16:54:26.4945928Z >>> module, device_ids=[rank], output_device=rank 2024-04-03T16:54:26.4946062Z >>> ) 2024-04-03T16:54:26.4946150Z >>> 2024-04-03T16:54:26.4946397Z >>> # Register a post-localSGD communication hook. 2024-04-03T16:54:26.4946784Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2024-04-03T16:54:26.4946994Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-04-03T16:54:26.4947081Z >>> 2024-04-03T16:54:26.4947429Z >>> # Create a post-localSGD optimizer that wraps a local optimizer. 2024-04-03T16:54:26.4947783Z >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as 2024-04-03T16:54:26.4948009Z >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-04-03T16:54:26.4948284Z >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01) 2024-04-03T16:54:26.4948429Z >>> opt = PostLocalSGDOptimizer( 2024-04-03T16:54:26.4948557Z >>> optim=local_optim, 2024-04-03T16:54:26.4948880Z >>> averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2024-04-03T16:54:26.4948970Z >>> ) 2024-04-03T16:54:26.4949068Z >>> 2024-04-03T16:54:26.4949385Z >>> # In the first 100 steps, DDP runs global gradient averaging at every step. 2024-04-03T16:54:26.4949879Z >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default), 2024-04-03T16:54:26.4950774Z >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer. 2024-04-03T16:54:26.4951760Z >>> for step in range(0, 200): 2024-04-03T16:54:26.4952153Z >>> opt.zero_grad() 2024-04-03T16:54:26.4952535Z >>> loss = loss_fn(output, labels) 2024-04-03T16:54:26.4952957Z >>> loss.backward() 2024-04-03T16:54:26.4953291Z >>> opt.step() 2024-04-03T16:54:26.4953589Z 2024-04-03T16:54:26.4954120Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.4954682Z 2024-04-03T16:54:26.4954927Z warnings.warn(msg) 2024-04-03T16:54:26.4955237Z 2024-04-03T16:54:26.4955563Z --- Parse Warning: 50 / 87 --- 2024-04-03T16:54:26.4957502Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=281. 2024-04-03T16:54:26.4959563Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.4960150Z 2024-04-03T16:54:26.4960823Z Wrap an arbitrary :class:`optim.Optimizer ` and shards its states across ranks in the group. 2024-04-03T16:54:26.4961605Z 2024-04-03T16:54:26.4961892Z The sharing is done as described by ZeRO_. 2024-04-03T16:54:26.4962297Z 2024-04-03T16:54:26.4962625Z The local optimizer instance in each rank is only 2024-04-03T16:54:26.4963274Z responsible for updating approximately ``1 / world_size`` parameters and 2024-04-03T16:54:26.4964071Z hence only needs to keep ``1 / world_size`` optimizer states. After 2024-04-03T16:54:26.4964840Z parameters are updated locally, each rank will broadcast its parameters to 2024-04-03T16:54:26.4965582Z all other peers to keep all model replicas in the same state. 2024-04-03T16:54:26.4966230Z ``ZeroRedundancyOptimizer`` can be used in conjunction with 2024-04-03T16:54:26.4967052Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak 2024-04-03T16:54:26.4967676Z memory consumption. 2024-04-03T16:54:26.4967961Z 2024-04-03T16:54:26.4968486Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number 2024-04-03T16:54:26.4969291Z of parameters at each rank. Each parameter belongs to a single rank and is 2024-04-03T16:54:26.4970122Z not divided among ranks. The partition is arbitrary and might not match the 2024-04-03T16:54:26.4970815Z the parameter registration or usage order. 2024-04-03T16:54:26.4971225Z 2024-04-03T16:54:26.4971445Z Arguments: 2024-04-03T16:54:26.4971875Z params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s 2024-04-03T16:54:26.4972560Z or :class:`dict` s giving all parameters, which will be sharded 2024-04-03T16:54:26.4973084Z across ranks. 2024-04-03T16:54:26.4973386Z 2024-04-03T16:54:26.4973622Z Keyword Args: 2024-04-03T16:54:26.4974161Z optimizer_class (:class:`torch.nn.Optimizer`): the class of the local 2024-04-03T16:54:26.4974724Z optimizer. 2024-04-03T16:54:26.4975200Z process_group (``ProcessGroup``, optional): ``torch.distributed`` 2024-04-03T16:54:26.4975882Z ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by 2024-04-03T16:54:26.4976489Z :meth:`torch.distributed.init_process_group`). 2024-04-03T16:54:26.4977140Z parameters_as_bucket_view (bool, optional): if ``True``, parameters are 2024-04-03T16:54:26.4977892Z packed into buckets to speed up communication, and ``param.data`` 2024-04-03T16:54:26.4978608Z fields point to bucket views at different offsets; if ``False``, 2024-04-03T16:54:26.4979316Z each individual parameter is communicated separately, and each 2024-04-03T16:54:26.4979948Z ``params.data`` stays intact (default: ``False``). 2024-04-03T16:54:26.4980556Z overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is 2024-04-03T16:54:26.4981307Z overlapped with :class:`DistributedDataParallel` 's gradient 2024-04-03T16:54:26.4982006Z synchronization; this requires (1) either a functional optimizer 2024-04-03T16:54:26.4982794Z for the ``optimizer_class`` argument or one with a functional 2024-04-03T16:54:26.4983439Z equivalent and (2) registering a DDP communication hook 2024-04-03T16:54:26.4984097Z constructed from one of the functions in ``ddp_zero_hook.py``; 2024-04-03T16:54:26.4984737Z parameters are packed into buckets matching those in 2024-04-03T16:54:26.4985338Z :class:`DistributedDataParallel`, meaning that the 2024-04-03T16:54:26.4985923Z ``parameters_as_bucket_view`` argument is ignored. 2024-04-03T16:54:26.4986562Z If ``False``, :meth:`step` runs disjointly after the backward pass 2024-04-03T16:54:26.4987086Z (per normal). 2024-04-03T16:54:26.4987476Z (default: ``False``) 2024-04-03T16:54:26.4988001Z **defaults: any trailing arguments, which are forwarded to the local 2024-04-03T16:54:26.4988538Z optimizer. 2024-04-03T16:54:26.4988825Z 2024-04-03T16:54:26.4989062Z Example:: 2024-04-03T16:54:26.4989301Z 2024-04-03T16:54:26.4989550Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.4989912Z >>> import torch.nn as nn 2024-04-03T16:54:26.4990433Z >>> from torch.distributed.optim import ZeroRedundancyOptimizer 2024-04-03T16:54:26.4991144Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2024-04-03T16:54:26.4991930Z >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)]) 2024-04-03T16:54:26.4992556Z >>> ddp = DDP(model, device_ids=[rank]) 2024-04-03T16:54:26.4993015Z >>> opt = ZeroRedundancyOptimizer( 2024-04-03T16:54:26.4993444Z >>> ddp.parameters(), 2024-04-03T16:54:26.4993852Z >>> optimizer_class=torch.optim.Adam, 2024-04-03T16:54:26.4994267Z >>> lr=0.01 2024-04-03T16:54:26.4994555Z >>> ) 2024-04-03T16:54:26.4994835Z >>> ddp(inputs).sum().backward() 2024-04-03T16:54:26.4995226Z >>> opt.step() 2024-04-03T16:54:26.4995512Z 2024-04-03T16:54:26.4995736Z .. warning:: 2024-04-03T16:54:26.4996181Z Currently, ``ZeroRedundancyOptimizer`` requires that all of the 2024-04-03T16:54:26.4996889Z passed-in parameters are the same dense type. 2024-04-03T16:54:26.4997348Z 2024-04-03T16:54:26.4997585Z .. warning:: 2024-04-03T16:54:26.4998046Z If you pass ``overlap_with_ddp=True``, be wary of the following: Given 2024-04-03T16:54:26.4998764Z the way that overlapping :class:`DistributedDataParallel` with 2024-04-03T16:54:26.4999510Z :class:`ZeroRedundancyOptimizer` is currently implemented, the first 2024-04-03T16:54:26.5000268Z two or three training iterations do not perform parameter updates in 2024-04-03T16:54:26.5000973Z the optimizer step, depending on if ``static_graph=False`` or 2024-04-03T16:54:26.5001635Z ``static_graph=True``, respectively. This is because it needs 2024-04-03T16:54:26.5002280Z information about the gradient bucketing strategy used by 2024-04-03T16:54:26.5002956Z :class:`DistributedDataParallel`, which is not finalized until the 2024-04-03T16:54:26.5003678Z second forward pass if ``static_graph=False`` or until the third 2024-04-03T16:54:26.5004400Z forward pass if ``static_graph=True``. To adjust for this, one option 2024-04-03T16:54:26.5004982Z is to prepend dummy inputs. 2024-04-03T16:54:26.5005331Z 2024-04-03T16:54:26.5005792Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change. 2024-04-03T16:54:26.5006369Z 2024-04-03T16:54:26.5006651Z .. _ZeRO: https://arxiv.org/abs/1910.02054 2024-04-03T16:54:26.5007062Z 2024-04-03T16:54:26.5007285Z 2024-04-03T16:54:26.5007806Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5008390Z 2024-04-03T16:54:26.5008637Z warnings.warn(msg) 2024-04-03T16:54:26.5008922Z 2024-04-03T16:54:26.5009261Z --- Parse Warning: 51 / 87 --- 2024-04-03T16:54:26.5010985Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_execution in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=5. 2024-04-03T16:54:26.5012765Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5013358Z 2024-04-03T16:54:26.5013827Z A decorator for a function indicating that the return value of the function 2024-04-03T16:54:26.5014687Z is guaranteed to be a :class:`~torch.futures.Future` object and this 2024-04-03T16:54:26.5015466Z function can run asynchronously on the RPC callee. More specifically, the 2024-04-03T16:54:26.5016271Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped 2024-04-03T16:54:26.5017111Z function and installs subsequent processing steps as a callback to that 2024-04-03T16:54:26.5017886Z :class:`~torch.futures.Future`. The installed callback will read the value 2024-04-03T16:54:26.5018662Z from the :class:`~torch.futures.Future` when completed and send the 2024-04-03T16:54:26.5019359Z value back as the RPC response. That also means the returned 2024-04-03T16:54:26.5020071Z :class:`~torch.futures.Future` only exists on the callee side and is never 2024-04-03T16:54:26.5020884Z sent through RPC. This decorator is useful when the wrapped function's 2024-04-03T16:54:26.5021650Z (``fn``) execution needs to pause and resume due to, e.g., containing 2024-04-03T16:54:26.5022484Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals. 2024-04-03T16:54:26.5023043Z 2024-04-03T16:54:26.5023474Z .. note:: To enable asynchronous execution, applications must pass the 2024-04-03T16:54:26.5024236Z function object returned by this decorator to RPC APIs. If RPC detected 2024-04-03T16:54:26.5025008Z attributes installed by this decorator, it knows that this function 2024-04-03T16:54:26.5025716Z returns a ``Future`` object and will handle that accordingly. 2024-04-03T16:54:26.5026424Z However, this does not mean this decorator has to be outmost one when 2024-04-03T16:54:26.5027213Z defining a function. For example, when combined with ``@staticmethod`` 2024-04-03T16:54:26.5028000Z or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the 2024-04-03T16:54:26.5028756Z inner decorator to allow the target function be recognized as a static 2024-04-03T16:54:26.5029518Z or class function. This target function can still execute asynchronously 2024-04-03T16:54:26.5030607Z because, when accessed, the static or class method preserves attributes 2024-04-03T16:54:26.5031293Z installed by ``@rpc.functions.async_execution``. 2024-04-03T16:54:26.5031730Z 2024-04-03T16:54:26.5031958Z 2024-04-03T16:54:26.5032194Z Example:: 2024-04-03T16:54:26.5032620Z The returned :class:`~torch.futures.Future` object can come from 2024-04-03T16:54:26.5033225Z :meth:`~torch.distributed.rpc.rpc_async`, 2024-04-03T16:54:26.5033850Z :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future` 2024-04-03T16:54:26.5034540Z constructor. The example below shows directly using the 2024-04-03T16:54:26.5035085Z :class:`~torch.futures.Future` returned by 2024-04-03T16:54:26.5035568Z :meth:`~torch.futures.Future.then`. 2024-04-03T16:54:26.5035967Z 2024-04-03T16:54:26.5036247Z >>> from torch.distributed import rpc 2024-04-03T16:54:26.5036656Z >>> 2024-04-03T16:54:26.5036954Z >>> # omitting setup and shutdown RPC 2024-04-03T16:54:26.5037337Z >>> 2024-04-03T16:54:26.5037596Z >>> # On all workers 2024-04-03T16:54:26.5037969Z >>> @rpc.functions.async_execution 2024-04-03T16:54:26.5038402Z >>> def async_add_chained(to, x, y, z): 2024-04-03T16:54:26.5038967Z >>> # This function runs on "worker1" and returns immediately when 2024-04-03T16:54:26.5039645Z >>> # the callback is installed through the `then(cb)` API. In the 2024-04-03T16:54:26.5040315Z >>> # mean time, the `rpc_async` to "worker2" can run concurrently. 2024-04-03T16:54:26.5040962Z >>> # When the return value of that `rpc_async` arrives at 2024-04-03T16:54:26.5041598Z >>> # "worker1", "worker1" will run the lambda function accordingly 2024-04-03T16:54:26.5042268Z >>> # and set the value for the previously returned `Future`, which 2024-04-03T16:54:26.5042957Z >>> # will then trigger RPC to send the result back to "worker0". 2024-04-03T16:54:26.5043604Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-04-03T16:54:26.5044129Z >>> lambda fut: fut.wait() + z 2024-04-03T16:54:26.5044591Z >>> ) 2024-04-03T16:54:26.5044861Z >>> 2024-04-03T16:54:26.5045103Z >>> # On worker0 2024-04-03T16:54:26.5045427Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.5045781Z >>> ret = rpc.rpc_sync( 2024-04-03T16:54:26.5046126Z >>> "worker1", 2024-04-03T16:54:26.5046457Z >>> async_add_chained, 2024-04-03T16:54:26.5046880Z >>> args=("worker2", torch.ones(2), 1, 1) 2024-04-03T16:54:26.5047288Z >>> ) 2024-04-03T16:54:26.5047607Z >>> print(ret) # prints tensor([3., 3.]) 2024-04-03T16:54:26.5048010Z 2024-04-03T16:54:26.5048476Z When combined with TorchScript decorators, this decorator must be the 2024-04-03T16:54:26.5049054Z outmost one. 2024-04-03T16:54:26.5049332Z 2024-04-03T16:54:26.5049577Z >>> from torch import Tensor 2024-04-03T16:54:26.5050004Z >>> from torch.futures import Future 2024-04-03T16:54:26.5050470Z >>> from torch.distributed import rpc 2024-04-03T16:54:26.5050869Z >>> 2024-04-03T16:54:26.5051172Z >>> # omitting setup and shutdown RPC 2024-04-03T16:54:26.5051567Z >>> 2024-04-03T16:54:26.5051813Z >>> # On all workers 2024-04-03T16:54:26.5052148Z >>> @torch.jit.script 2024-04-03T16:54:26.5052652Z >>> def script_add(x: Tensor, y: Tensor) -> Tensor: 2024-04-03T16:54:26.5053098Z >>> return x + y 2024-04-03T16:54:26.5053445Z >>> 2024-04-03T16:54:26.5053775Z >>> @rpc.functions.async_execution 2024-04-03T16:54:26.5054271Z >>> @torch.jit.script 2024-04-03T16:54:26.5054835Z >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]: 2024-04-03T16:54:26.5055442Z >>> return rpc.rpc_async(to, script_add, (x, y)) 2024-04-03T16:54:26.5055872Z >>> 2024-04-03T16:54:26.5056125Z >>> # On worker0 2024-04-03T16:54:26.5056439Z >>> ret = rpc.rpc_sync( 2024-04-03T16:54:26.5056775Z >>> "worker1", 2024-04-03T16:54:26.5057088Z >>> async_add, 2024-04-03T16:54:26.5057444Z >>> args=("worker2", torch.ones(2), 1) 2024-04-03T16:54:26.5057839Z >>> ) 2024-04-03T16:54:26.5058147Z >>> print(ret) # prints tensor([2., 2.]) 2024-04-03T16:54:26.5058548Z 2024-04-03T16:54:26.5058971Z When combined with static or class method, this decorator must be the 2024-04-03T16:54:26.5059535Z inner one. 2024-04-03T16:54:26.5059796Z 2024-04-03T16:54:26.5060070Z >>> from torch.distributed import rpc 2024-04-03T16:54:26.5060471Z >>> 2024-04-03T16:54:26.5060766Z >>> # omitting setup and shutdown RPC 2024-04-03T16:54:26.5061145Z >>> 2024-04-03T16:54:26.5061406Z >>> # On all workers 2024-04-03T16:54:26.5061767Z >>> class AsyncExecutionClass: 2024-04-03T16:54:26.5062239Z >>> 2024-04-03T16:54:26.5062499Z >>> @staticmethod 2024-04-03T16:54:26.5062880Z >>> @rpc.functions.async_execution 2024-04-03T16:54:26.5063332Z >>> def static_async_add(to, x, y, z): 2024-04-03T16:54:26.5063879Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-04-03T16:54:26.5064418Z >>> lambda fut: fut.wait() + z 2024-04-03T16:54:26.5064816Z >>> ) 2024-04-03T16:54:26.5065092Z >>> 2024-04-03T16:54:26.5065349Z >>> @classmethod 2024-04-03T16:54:26.5065720Z >>> @rpc.functions.async_execution 2024-04-03T16:54:26.5066191Z >>> def class_async_add(cls, to, x, y, z): 2024-04-03T16:54:26.5066681Z >>> ret_fut = torch.futures.Future() 2024-04-03T16:54:26.5067196Z >>> rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-04-03T16:54:26.5067764Z >>> lambda fut: ret_fut.set_result(fut.wait() + z) 2024-04-03T16:54:26.5068230Z >>> ) 2024-04-03T16:54:26.5068521Z >>> return ret_fut 2024-04-03T16:54:26.5068860Z >>> 2024-04-03T16:54:26.5069227Z >>> @rpc.functions.async_execution 2024-04-03T16:54:26.5069687Z >>> def bound_async_add(self, to, x, y, z): 2024-04-03T16:54:26.5070241Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-04-03T16:54:26.5070786Z >>> lambda fut: fut.wait() + z 2024-04-03T16:54:26.5071202Z >>> ) 2024-04-03T16:54:26.5071473Z >>> 2024-04-03T16:54:26.5071723Z >>> # On worker0 2024-04-03T16:54:26.5072033Z >>> ret = rpc.rpc_sync( 2024-04-03T16:54:26.5072380Z >>> "worker1", 2024-04-03T16:54:26.5072772Z >>> AsyncExecutionClass.static_async_add, 2024-04-03T16:54:26.5073307Z >>> args=("worker2", torch.ones(2), 1, 2) 2024-04-03T16:54:26.5073709Z >>> ) 2024-04-03T16:54:26.5074014Z >>> print(ret) # prints tensor([4., 4.]) 2024-04-03T16:54:26.5074425Z >>> 2024-04-03T16:54:26.5074681Z >>> ret = rpc.rpc_sync( 2024-04-03T16:54:26.5075035Z >>> "worker1", 2024-04-03T16:54:26.5075421Z >>> AsyncExecutionClass.class_async_add, 2024-04-03T16:54:26.5075899Z >>> args=("worker2", torch.ones(2), 1, 2) 2024-04-03T16:54:26.5076304Z >>> ) 2024-04-03T16:54:26.5076612Z >>> print(ret) # prints tensor([4., 4.]) 2024-04-03T16:54:26.5077000Z 2024-04-03T16:54:26.5077343Z This decorator also works with RRef helpers, i.e., . 2024-04-03T16:54:26.5077933Z :meth:`torch.distributed.rpc.RRef.rpc_sync`, 2024-04-03T16:54:26.5078519Z :meth:`torch.distributed.rpc.RRef.rpc_async`, and 2024-04-03T16:54:26.5079069Z :meth:`torch.distributed.rpc.RRef.remote`. 2024-04-03T16:54:26.5079503Z 2024-04-03T16:54:26.5079784Z >>> from torch.distributed import rpc 2024-04-03T16:54:26.5080185Z >>> 2024-04-03T16:54:26.5080512Z >>> # reuse the AsyncExecutionClass class above 2024-04-03T16:54:26.5081051Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-04-03T16:54:26.5081708Z >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2) 2024-04-03T16:54:26.5082318Z >>> print(ret) # prints tensor([4., 4.]) 2024-04-03T16:54:26.5082714Z >>> 2024-04-03T16:54:26.5083078Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-04-03T16:54:26.5083775Z >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait() 2024-04-03T16:54:26.5084410Z >>> print(ret) # prints tensor([4., 4.]) 2024-04-03T16:54:26.5084822Z >>> 2024-04-03T16:54:26.5085177Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-04-03T16:54:26.5085853Z >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here() 2024-04-03T16:54:26.5086504Z >>> print(ret) # prints tensor([4., 4.]) 2024-04-03T16:54:26.5086911Z 2024-04-03T16:54:26.5087445Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5088023Z 2024-04-03T16:54:26.5088273Z warnings.warn(msg) 2024-04-03T16:54:26.5088564Z 2024-04-03T16:54:26.5088899Z --- Parse Warning: 52 / 87 --- 2024-04-03T16:54:26.5090783Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=105. 2024-04-03T16:54:26.5092737Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5093317Z 2024-04-03T16:54:26.5093715Z Set device mapping between each RPC caller and callee pair. This 2024-04-03T16:54:26.5094477Z function can be called multiple times to incrementally add 2024-04-03T16:54:26.5094997Z device placement configurations. 2024-04-03T16:54:26.5095363Z 2024-04-03T16:54:26.5095586Z Args: 2024-04-03T16:54:26.5095829Z to (str): Callee name. 2024-04-03T16:54:26.5096341Z device_map (Dict of int, str, or torch.device): Device placement 2024-04-03T16:54:26.5097057Z mappings from this worker to the callee. This map must be 2024-04-03T16:54:26.5097550Z invertible. 2024-04-03T16:54:26.5097837Z 2024-04-03T16:54:26.5098067Z Example: 2024-04-03T16:54:26.5098360Z >>> # xdoctest: +SKIP("distributed") 2024-04-03T16:54:26.5098772Z >>> # both workers 2024-04-03T16:54:26.5099089Z >>> def add(x, y): 2024-04-03T16:54:26.5099536Z >>> print(x) # tensor([1., 1.], device='cuda:1') 2024-04-03T16:54:26.5100014Z >>> return x + y, (x + y).to(2) 2024-04-03T16:54:26.5100403Z >>> 2024-04-03T16:54:26.5100673Z >>> # on worker 0 2024-04-03T16:54:26.5101061Z >>> options = TensorPipeRpcBackendOptions( 2024-04-03T16:54:26.5101525Z >>> num_worker_threads=8, 2024-04-03T16:54:26.5101921Z >>> device_maps={"worker1": {0: 1}} 2024-04-03T16:54:26.5102556Z >>> # maps worker0's cuda:0 to worker1's cuda:1 2024-04-03T16:54:26.5102994Z >>> ) 2024-04-03T16:54:26.5103305Z >>> options.set_device_map("worker1", {1: 2}) 2024-04-03T16:54:26.5103857Z >>> # maps worker0's cuda:1 to worker1's cuda:2 2024-04-03T16:54:26.5104282Z >>> 2024-04-03T16:54:26.5104526Z >>> rpc.init_rpc( 2024-04-03T16:54:26.5104842Z >>> "worker0", 2024-04-03T16:54:26.5105149Z >>> rank=0, 2024-04-03T16:54:26.5105487Z >>> world_size=2, 2024-04-03T16:54:26.5105920Z >>> backend=rpc.BackendType.TENSORPIPE, 2024-04-03T16:54:26.5106390Z >>> rpc_backend_options=options 2024-04-03T16:54:26.5106768Z >>> ) 2024-04-03T16:54:26.5107020Z >>> 2024-04-03T16:54:26.5107280Z >>> x = torch.ones(2) 2024-04-03T16:54:26.5107712Z >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1)) 2024-04-03T16:54:26.5108338Z >>> # The first argument will be moved to cuda:1 on worker1. When 2024-04-03T16:54:26.5108998Z >>> # sending the return value back, it will follow the invert of 2024-04-03T16:54:26.5109639Z >>> # the device map, and hence will be moved back to cuda:0 and 2024-04-03T16:54:26.5110159Z >>> # cuda:1 on worker0 2024-04-03T16:54:26.5110658Z >>> print(rets[0]) # tensor([2., 2.], device='cuda:0') 2024-04-03T16:54:26.5111254Z >>> print(rets[1]) # tensor([2., 2.], device='cuda:1') 2024-04-03T16:54:26.5111696Z 2024-04-03T16:54:26.5112222Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5112789Z 2024-04-03T16:54:26.5113026Z warnings.warn(msg) 2024-04-03T16:54:26.5113326Z 2024-04-03T16:54:26.5113644Z --- Parse Warning: 53 / 87 --- 2024-04-03T16:54:26.5115460Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInput in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=333. 2024-04-03T16:54:26.5117344Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5117929Z 2024-04-03T16:54:26.5118678Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to 2024-04-03T16:54:26.5119790Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``. 2024-04-03T16:54:26.5120449Z 2024-04-03T16:54:26.5120673Z Keyword Args: 2024-04-03T16:54:26.5121059Z input_layouts (Union[Placement, Tuple[Placement]]): 2024-04-03T16:54:26.5121890Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2024-04-03T16:54:26.5123016Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2024-04-03T16:54:26.5123793Z as a placeholder. 2024-04-03T16:54:26.5124271Z desired_input_layouts (Union[Placement, Tuple[Placement]]): 2024-04-03T16:54:26.5125244Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2024-04-03T16:54:26.5126402Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. 2024-04-03T16:54:26.5127171Z use_local_output (bool, optional): 2024-04-03T16:54:26.5127967Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2024-04-03T16:54:26.5128713Z Returns: 2024-04-03T16:54:26.5129407Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs. 2024-04-03T16:54:26.5130074Z 2024-04-03T16:54:26.5130298Z Example:: 2024-04-03T16:54:26.5130583Z >>> # xdoctest: +SKIP(failing) 2024-04-03T16:54:26.5131277Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput 2024-04-03T16:54:26.5132099Z >>> from torch.distributed.device_mesh import init_device_mesh 2024-04-03T16:54:26.5132608Z >>> ... 2024-04-03T16:54:26.5133193Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2024-04-03T16:54:26.5133925Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2024-04-03T16:54:26.5134428Z >>> 2024-04-03T16:54:26.5135085Z >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor 2024-04-03T16:54:26.5135938Z >>> # and then redistributed to Replicated DTensor. 2024-04-03T16:54:26.5136399Z >>> parallelize_module( 2024-04-03T16:54:26.5136834Z >>> block, # this can be a submodule or module 2024-04-03T16:54:26.5137279Z >>> tp_mesh, 2024-04-03T16:54:26.5137594Z >>> parallelize_plan={ 2024-04-03T16:54:26.5138013Z >>> "attn": PrepareModuleInput( 2024-04-03T16:54:26.5138519Z >>> input_layouts=(Shard(0), None, None, ...), 2024-04-03T16:54:26.5139081Z >>> desired_input_layouts=(Replicate(), None, None, ...) 2024-04-03T16:54:26.5139566Z >>> ), 2024-04-03T16:54:26.5139855Z >>> } 2024-04-03T16:54:26.5140109Z >>> ) 2024-04-03T16:54:26.5140365Z 2024-04-03T16:54:26.5140898Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5141463Z 2024-04-03T16:54:26.5141712Z warnings.warn(msg) 2024-04-03T16:54:26.5142013Z 2024-04-03T16:54:26.5142465Z --- Parse Warning: 54 / 87 --- 2024-04-03T16:54:26.5144284Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleOutput in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=414. 2024-04-03T16:54:26.5146173Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5146758Z 2024-04-03T16:54:26.5147528Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to 2024-04-03T16:54:26.5148656Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``. 2024-04-03T16:54:26.5149315Z 2024-04-03T16:54:26.5149550Z Keyword Args: 2024-04-03T16:54:26.5149933Z output_layouts (Union[Placement, Tuple[Placement]]): 2024-04-03T16:54:26.5150776Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2024-04-03T16:54:26.5151931Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2024-04-03T16:54:26.5152811Z ``None`` need to be specified as a placeholder. 2024-04-03T16:54:26.5153412Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2024-04-03T16:54:26.5154355Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2024-04-03T16:54:26.5155289Z have the desired DTensor layouts. 2024-04-03T16:54:26.5155851Z use_local_output (bool, optional): 2024-04-03T16:54:26.5156641Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2024-04-03T16:54:26.5157399Z Returns: 2024-04-03T16:54:26.5158026Z A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs. 2024-04-03T16:54:26.5158649Z 2024-04-03T16:54:26.5158890Z Example:: 2024-04-03T16:54:26.5159180Z >>> # xdoctest: +SKIP(failing) 2024-04-03T16:54:26.5159920Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput 2024-04-03T16:54:26.5160756Z >>> from torch.distributed.device_mesh import init_device_mesh 2024-04-03T16:54:26.5161266Z >>> ... 2024-04-03T16:54:26.5161853Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2024-04-03T16:54:26.5162588Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2024-04-03T16:54:26.5163010Z >>> 2024-04-03T16:54:26.5163716Z >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor 2024-04-03T16:54:26.5164587Z >>> # and then redistributed to Sharded DTensor. 2024-04-03T16:54:26.5165078Z >>> parallelize_module( 2024-04-03T16:54:26.5165543Z >>> block, # this can be a submodule or module 2024-04-03T16:54:26.5165974Z >>> tp_mesh, 2024-04-03T16:54:26.5166361Z >>> parallelize_plan = PrepareModuleOutput( 2024-04-03T16:54:26.5166855Z >>> output_layouts=Replicate(), 2024-04-03T16:54:26.5167296Z >>> desired_output_layouts=Shard(0) 2024-04-03T16:54:26.5167708Z >>> ) 2024-04-03T16:54:26.5167972Z >>> ) 2024-04-03T16:54:26.5168207Z 2024-04-03T16:54:26.5168736Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5169309Z 2024-04-03T16:54:26.5169543Z warnings.warn(msg) 2024-04-03T16:54:26.5169839Z 2024-04-03T16:54:26.5170166Z --- Parse Warning: 55 / 87 --- 2024-04-03T16:54:26.5171944Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixtureSameFamily in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=11. 2024-04-03T16:54:26.5173811Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5174493Z 2024-04-03T16:54:26.5174917Z The `MixtureSameFamily` distribution implements a (batch of) mixture 2024-04-03T16:54:26.5175675Z distribution where all component are from different parameterizations of 2024-04-03T16:54:26.5176441Z the same distribution type. It is parameterized by a `Categorical` 2024-04-03T16:54:26.5177135Z "selecting distribution" (over `k` component) and a component 2024-04-03T16:54:26.5177806Z distribution, i.e., a `Distribution` with a rightmost batch shape 2024-04-03T16:54:26.5178455Z (equal to `[k]`) which indexes each (batch of) component. 2024-04-03T16:54:26.5178914Z 2024-04-03T16:54:26.5179140Z Examples:: 2024-04-03T16:54:26.5179395Z 2024-04-03T16:54:26.5179686Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:26.5180257Z >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally 2024-04-03T16:54:26.5180829Z >>> # weighted normal distributions 2024-04-03T16:54:26.5181281Z >>> mix = D.Categorical(torch.ones(5,)) 2024-04-03T16:54:26.5181774Z >>> comp = D.Normal(torch.randn(5,), torch.rand(5,)) 2024-04-03T16:54:26.5182400Z >>> gmm = MixtureSameFamily(mix, comp) 2024-04-03T16:54:26.5182802Z 2024-04-03T16:54:26.5183186Z >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally 2024-04-03T16:54:26.5183853Z >>> # weighted bivariate normal distributions 2024-04-03T16:54:26.5184341Z >>> mix = D.Categorical(torch.ones(5,)) 2024-04-03T16:54:26.5184783Z >>> comp = D.Independent(D.Normal( 2024-04-03T16:54:26.5185252Z ... torch.randn(5,2), torch.rand(5,2)), 1) 2024-04-03T16:54:26.5185743Z >>> gmm = MixtureSameFamily(mix, comp) 2024-04-03T16:54:26.5186132Z 2024-04-03T16:54:26.5186505Z >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each 2024-04-03T16:54:26.5187187Z >>> # consisting of 5 random weighted bivariate normal distributions 2024-04-03T16:54:26.5187797Z >>> mix = D.Categorical(torch.rand(3,5)) 2024-04-03T16:54:26.5188253Z >>> comp = D.Independent(D.Normal( 2024-04-03T16:54:26.5188730Z ... torch.randn(3,5,2), torch.rand(3,5,2)), 1) 2024-04-03T16:54:26.5189233Z >>> gmm = MixtureSameFamily(mix, comp) 2024-04-03T16:54:26.5189625Z 2024-04-03T16:54:26.5189851Z Args: 2024-04-03T16:54:26.5190322Z mixture_distribution: `torch.distributions.Categorical`-like 2024-04-03T16:54:26.5190991Z instance. Manages the probability of selecting component. 2024-04-03T16:54:26.5191630Z The number of categories must match the rightmost batch 2024-04-03T16:54:26.5192275Z dimension of the `component_distribution`. Must have either 2024-04-03T16:54:26.5192897Z scalar `batch_shape` or `batch_shape` matching 2024-04-03T16:54:26.5193518Z `component_distribution.batch_shape[:-1]` 2024-04-03T16:54:26.5194200Z component_distribution: `torch.distributions.Distribution`-like 2024-04-03T16:54:26.5194925Z instance. Right-most batch dimension indexes component. 2024-04-03T16:54:26.5195413Z 2024-04-03T16:54:26.5195935Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5196501Z 2024-04-03T16:54:26.5196747Z warnings.warn(msg) 2024-04-03T16:54:26.5197058Z 2024-04-03T16:54:26.5197386Z --- Parse Warning: 56 / 87 --- 2024-04-03T16:54:26.5199164Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedBernoulli in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=108. 2024-04-03T16:54:26.5201032Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5201621Z 2024-04-03T16:54:26.5201989Z Creates a RelaxedBernoulli distribution, parametrized by 2024-04-03T16:54:26.5202636Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits` 2024-04-03T16:54:26.5203352Z (but not both). This is a relaxed version of the `Bernoulli` distribution, 2024-04-03T16:54:26.5204066Z so the values are in (0, 1), and has reparametrizable samples. 2024-04-03T16:54:26.5204564Z 2024-04-03T16:54:26.5204796Z Example:: 2024-04-03T16:54:26.5205041Z 2024-04-03T16:54:26.5205418Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-04-03T16:54:26.5205939Z >>> m = RelaxedBernoulli(torch.tensor([2.2]), 2024-04-03T16:54:26.5206440Z ... torch.tensor([0.1, 0.2, 0.3, 0.99])) 2024-04-03T16:54:26.5206883Z >>> m.sample() 2024-04-03T16:54:26.5207229Z tensor([ 0.2951, 0.3442, 0.8918, 0.9021]) 2024-04-03T16:54:26.5207619Z 2024-04-03T16:54:26.5207846Z Args: 2024-04-03T16:54:26.5208175Z temperature (Tensor): relaxation temperature 2024-04-03T16:54:26.5208727Z probs (Number, Tensor): the probability of sampling `1` 2024-04-03T16:54:26.5209379Z logits (Number, Tensor): the log-odds of sampling `1` 2024-04-03T16:54:26.5209839Z 2024-04-03T16:54:26.5210347Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5210923Z 2024-04-03T16:54:26.5211165Z warnings.warn(msg) 2024-04-03T16:54:26.5211448Z 2024-04-03T16:54:26.5211814Z --- Parse Warning: 57 / 87 --- 2024-04-03T16:54:26.5213646Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedOneHotCategorical in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=96. 2024-04-03T16:54:26.5215650Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5216239Z 2024-04-03T16:54:26.5216657Z Creates a RelaxedOneHotCategorical distribution parametrized by 2024-04-03T16:54:26.5217341Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`. 2024-04-03T16:54:26.5218117Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so 2024-04-03T16:54:26.5218827Z its samples are on simplex, and are reparametrizable. 2024-04-03T16:54:26.5219285Z 2024-04-03T16:54:26.5219507Z Example:: 2024-04-03T16:54:26.5219757Z 2024-04-03T16:54:26.5220116Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-04-03T16:54:26.5220671Z >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]), 2024-04-03T16:54:26.5221224Z ... torch.tensor([0.1, 0.2, 0.3, 0.4])) 2024-04-03T16:54:26.5221674Z >>> m.sample() 2024-04-03T16:54:26.5222013Z tensor([ 0.1294, 0.2324, 0.3859, 0.2523]) 2024-04-03T16:54:26.5222521Z 2024-04-03T16:54:26.5222796Z Args: 2024-04-03T16:54:26.5223149Z temperature (Tensor): relaxation temperature 2024-04-03T16:54:26.5223631Z probs (Tensor): event probabilities 2024-04-03T16:54:26.5223880Z logits (Tensor): unnormalized log probability for each event 2024-04-03T16:54:26.5223980Z 2024-04-03T16:54:26.5224369Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5224455Z 2024-04-03T16:54:26.5224579Z warnings.warn(msg) 2024-04-03T16:54:26.5224665Z 2024-04-03T16:54:26.5224865Z --- Parse Warning: 58 / 87 --- 2024-04-03T16:54:26.5226397Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assoc_in in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=229. 2024-04-03T16:54:26.5226797Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5227052Z Return a new dict with new, potentially nested, key value pair 2024-04-03T16:54:26.5227150Z 2024-04-03T16:54:26.5227316Z >>> purchase = {'name': 'Alice', 2024-04-03T16:54:26.5227560Z ... 'order': {'items': ['Apple', 'Orange'], 2024-04-03T16:54:26.5227768Z ... 'costs': [0.50, 1.25]}, 2024-04-03T16:54:26.5227991Z ... 'credit card': '5555-1234-1234-1234'} 2024-04-03T16:54:26.5228345Z >>> assoc_in(purchase, ['order', 'costs'], [0.25, 1.00]) # doctest: +SKIP 2024-04-03T16:54:26.5228531Z {'credit card': '5555-1234-1234-1234', 2024-04-03T16:54:26.5228661Z 'name': 'Alice', 2024-04-03T16:54:26.5228962Z 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} 2024-04-03T16:54:26.5229052Z 2024-04-03T16:54:26.5229437Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5229533Z 2024-04-03T16:54:26.5229641Z warnings.warn(msg) 2024-04-03T16:54:26.5229724Z 2024-04-03T16:54:26.5229933Z --- Parse Warning: 59 / 87 --- 2024-04-03T16:54:26.5231454Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=update_in in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=244. 2024-04-03T16:54:26.5231867Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5232058Z Update value in a (potentially) nested dictionary 2024-04-03T16:54:26.5232182Z 2024-04-03T16:54:26.5232288Z inputs: 2024-04-03T16:54:26.5232466Z d - dictionary on which to operate 2024-04-03T16:54:26.5232832Z keys - list or tuple giving the location of the value to be changed in d 2024-04-03T16:54:26.5233045Z func - function to operate on that value 2024-04-03T16:54:26.5233131Z 2024-04-03T16:54:26.5233422Z If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the 2024-04-03T16:54:26.5233741Z original dictionary with v replaced by func(v), but does not mutate the 2024-04-03T16:54:26.5233851Z original dictionary. 2024-04-03T16:54:26.5233935Z 2024-04-03T16:54:26.5234305Z If k0 is not a key in d, update_in creates nested dictionaries to the depth 2024-04-03T16:54:26.5234600Z specified by the keys, with the innermost value set to func(default). 2024-04-03T16:54:26.5234696Z 2024-04-03T16:54:26.5234813Z >>> inc = lambda x: x + 1 2024-04-03T16:54:26.5234990Z >>> update_in({'a': 0}, ['a'], inc) 2024-04-03T16:54:26.5235120Z {'a': 1} 2024-04-03T16:54:26.5235204Z 2024-04-03T16:54:26.5235379Z >>> transaction = {'name': 'Alice', 2024-04-03T16:54:26.5235639Z ... 'purchase': {'items': ['Apple', 'Orange'], 2024-04-03T16:54:26.5235858Z ... 'costs': [0.50, 1.25]}, 2024-04-03T16:54:26.5236109Z ... 'credit card': '5555-1234-1234-1234'} 2024-04-03T16:54:26.5236505Z >>> update_in(transaction, ['purchase', 'costs'], sum) # doctest: +SKIP 2024-04-03T16:54:26.5236689Z {'credit card': '5555-1234-1234-1234', 2024-04-03T16:54:26.5236823Z 'name': 'Alice', 2024-04-03T16:54:26.5237108Z 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} 2024-04-03T16:54:26.5237192Z 2024-04-03T16:54:26.5237349Z >>> # updating a value when k0 is not in d 2024-04-03T16:54:26.5237527Z >>> update_in({}, [1, 2, 3], str, default="bar") 2024-04-03T16:54:26.5237662Z {1: {2: {3: 'bar'}}} 2024-04-03T16:54:26.5237861Z >>> update_in({1: 'foo'}, [2, 3, 4], inc, 0) 2024-04-03T16:54:26.5238023Z {1: 'foo', 2: {3: {4: 1}}} 2024-04-03T16:54:26.5238112Z 2024-04-03T16:54:26.5238515Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5238602Z 2024-04-03T16:54:26.5238709Z warnings.warn(msg) 2024-04-03T16:54:26.5238809Z 2024-04-03T16:54:26.5239008Z --- Parse Warning: 60 / 87 --- 2024-04-03T16:54:26.5240515Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_in in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=302. 2024-04-03T16:54:26.5240929Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5241140Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. 2024-04-03T16:54:26.5241228Z 2024-04-03T16:54:26.5241500Z If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless 2024-04-03T16:54:26.5241765Z ``no_default`` is specified, then it raises KeyError or IndexError. 2024-04-03T16:54:26.5241861Z 2024-04-03T16:54:26.5242142Z ``get_in`` is a generalization of ``operator.getitem`` for nested data 2024-04-03T16:54:26.5242312Z structures such as dictionaries and lists. 2024-04-03T16:54:26.5242412Z 2024-04-03T16:54:26.5242589Z >>> transaction = {'name': 'Alice', 2024-04-03T16:54:26.5242840Z ... 'purchase': {'items': ['Apple', 'Orange'], 2024-04-03T16:54:26.5243077Z ... 'costs': [0.50, 1.25]}, 2024-04-03T16:54:26.5243302Z ... 'credit card': '5555-1234-1234-1234'} 2024-04-03T16:54:26.5243532Z >>> get_in(['purchase', 'items', 0], transaction) 2024-04-03T16:54:26.5243668Z 'Apple' 2024-04-03T16:54:26.5243872Z >>> get_in(['name'], transaction) 2024-04-03T16:54:26.5243994Z 'Alice' 2024-04-03T16:54:26.5244225Z >>> get_in(['purchase', 'total'], transaction) 2024-04-03T16:54:26.5244475Z >>> get_in(['purchase', 'items', 'apple'], transaction) 2024-04-03T16:54:26.5244707Z >>> get_in(['purchase', 'items', 10], transaction) 2024-04-03T16:54:26.5244949Z >>> get_in(['purchase', 'total'], transaction, 0) 2024-04-03T16:54:26.5245042Z 0 2024-04-03T16:54:26.5245243Z >>> get_in(['y'], {}, no_default=True) 2024-04-03T16:54:26.5245386Z Traceback (most recent call last): 2024-04-03T16:54:26.5245484Z ... 2024-04-03T16:54:26.5245628Z KeyError: 'y' 2024-04-03T16:54:26.5245745Z 2024-04-03T16:54:26.5245846Z See Also: 2024-04-03T16:54:26.5245966Z itertoolz.get 2024-04-03T16:54:26.5246076Z operator.getitem 2024-04-03T16:54:26.5246163Z 2024-04-03T16:54:26.5246570Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5246661Z 2024-04-03T16:54:26.5246771Z warnings.warn(msg) 2024-04-03T16:54:26.5246872Z 2024-04-03T16:54:26.5247073Z --- Parse Warning: 61 / 87 --- 2024-04-03T16:54:26.5248625Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=groupby in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=354. 2024-04-03T16:54:26.5249070Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5249213Z Group a collection by a key function 2024-04-03T16:54:26.5249317Z 2024-04-03T16:54:26.5249610Z >>> names = ['Alice', 'Bob', 'Charlie', 'Dan', 'Edith', 'Frank'] 2024-04-03T16:54:26.5249766Z >>> groupby(len, names) # doctest: +SKIP 2024-04-03T16:54:26.5250074Z {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']} 2024-04-03T16:54:26.5250164Z 2024-04-03T16:54:26.5250295Z >>> iseven = lambda x: x % 2 == 0 2024-04-03T16:54:26.5250540Z >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8]) # doctest: +SKIP 2024-04-03T16:54:26.5250684Z {False: [1, 3, 5, 7], True: [2, 4, 6, 8]} 2024-04-03T16:54:26.5250771Z 2024-04-03T16:54:26.5251010Z Non-callable keys imply grouping on a member. 2024-04-03T16:54:26.5251098Z 2024-04-03T16:54:26.5251357Z >>> groupby('gender', [{'name': 'Alice', 'gender': 'F'}, 2024-04-03T16:54:26.5251590Z ... {'name': 'Bob', 'gender': 'M'}, 2024-04-03T16:54:26.5251870Z ... {'name': 'Charlie', 'gender': 'M'}]) # doctest:+SKIP 2024-04-03T16:54:26.5252063Z {'F': [{'gender': 'F', 'name': 'Alice'}], 2024-04-03T16:54:26.5252252Z 'M': [{'gender': 'M', 'name': 'Bob'}, 2024-04-03T16:54:26.5252444Z {'gender': 'M', 'name': 'Charlie'}]} 2024-04-03T16:54:26.5252541Z 2024-04-03T16:54:26.5252722Z Not to be confused with ``itertools.groupby`` 2024-04-03T16:54:26.5252812Z 2024-04-03T16:54:26.5252920Z See Also: 2024-04-03T16:54:26.5253009Z countby 2024-04-03T16:54:26.5253099Z 2024-04-03T16:54:26.5253495Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5253580Z 2024-04-03T16:54:26.5253688Z warnings.warn(msg) 2024-04-03T16:54:26.5253782Z 2024-04-03T16:54:26.5253982Z --- Parse Warning: 62 / 87 --- 2024-04-03T16:54:26.5255446Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=574. 2024-04-03T16:54:26.5255859Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5256133Z Applies Batch Normalization over a N-Dimensional input. 2024-04-03T16:54:26.5256220Z 2024-04-03T16:54:26.5256861Z The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper 2024-04-03T16:54:26.5257150Z `Batch Normalization: Accelerating Deep Network Training by Reducing 2024-04-03T16:54:26.5257434Z Internal Covariate Shift `__ . 2024-04-03T16:54:26.5257519Z 2024-04-03T16:54:26.5257621Z .. math:: 2024-04-03T16:54:26.5257719Z 2024-04-03T16:54:26.5258123Z y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta 2024-04-03T16:54:26.5258211Z 2024-04-03T16:54:26.5258589Z The mean and standard-deviation are calculated per-dimension over all 2024-04-03T16:54:26.5258998Z mini-batches of the same process groups. :math:`\gamma` and :math:`\beta` 2024-04-03T16:54:26.5259316Z are learnable parameter vectors of size `C` (where `C` is the input size). 2024-04-03T16:54:26.5259570Z By default, the elements of :math:`\gamma` are sampled from 2024-04-03T16:54:26.5259860Z :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0. 2024-04-03T16:54:26.5260281Z The standard-deviation is calculated via the biased estimator, equivalent to 2024-04-03T16:54:26.5260418Z `torch.var(input, unbiased=False)`. 2024-04-03T16:54:26.5260507Z 2024-04-03T16:54:26.5260839Z Also by default, during training this layer keeps running estimates of its 2024-04-03T16:54:26.5261171Z computed mean and variance, which are then used for normalization during 2024-04-03T16:54:26.5261515Z evaluation. The running estimates are kept with a default :attr:`momentum` 2024-04-03T16:54:26.5261622Z of 0.1. 2024-04-03T16:54:26.5261710Z 2024-04-03T16:54:26.5262014Z If :attr:`track_running_stats` is set to ``False``, this layer then does not 2024-04-03T16:54:26.5262416Z keep running estimates, and batch statistics are instead used during 2024-04-03T16:54:26.5262534Z evaluation time as well. 2024-04-03T16:54:26.5262622Z 2024-04-03T16:54:26.5262731Z .. note:: 2024-04-03T16:54:26.5263025Z This :attr:`momentum` argument is different from one used in optimizer 2024-04-03T16:54:26.5263326Z classes and the conventional notion of momentum. Mathematically, the 2024-04-03T16:54:26.5263515Z update rule for running statistics here is 2024-04-03T16:54:26.5264000Z :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`, 2024-04-03T16:54:26.5264309Z where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the 2024-04-03T16:54:26.5264425Z new observed value. 2024-04-03T16:54:26.5264512Z 2024-04-03T16:54:26.5264932Z Because the Batch Normalization is done for each channel in the ``C`` dimension, computing 2024-04-03T16:54:26.5265350Z statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch 2024-04-03T16:54:26.5265626Z Normalization or Spatio-temporal Batch Normalization. 2024-04-03T16:54:26.5265728Z 2024-04-03T16:54:26.5265913Z Currently :class:`SyncBatchNorm` only supports 2024-04-03T16:54:26.5266282Z :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use 2024-04-03T16:54:26.5266575Z :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert 2024-04-03T16:54:26.5266843Z :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping 2024-04-03T16:54:26.5266969Z Network with DDP. 2024-04-03T16:54:26.5267050Z 2024-04-03T16:54:26.5267143Z Args: 2024-04-03T16:54:26.5267376Z num_features: :math:`C` from an expected input of size 2024-04-03T16:54:26.5267484Z :math:`(N, C, +)` 2024-04-03T16:54:26.5267744Z eps: a value added to the denominator for numerical stability. 2024-04-03T16:54:26.5267906Z Default: ``1e-5`` 2024-04-03T16:54:26.5268157Z momentum: the value used for the running_mean and running_var 2024-04-03T16:54:26.5268487Z computation. Can be set to ``None`` for cumulative moving average 2024-04-03T16:54:26.5268654Z (i.e. simple average). Default: 0.1 2024-04-03T16:54:26.5268927Z affine: a boolean value that when set to ``True``, this module has 2024-04-03T16:54:26.5269123Z learnable affine parameters. Default: ``True`` 2024-04-03T16:54:26.5269420Z track_running_stats: a boolean value that when set to ``True``, this 2024-04-03T16:54:26.5269731Z module tracks the running mean and variance, and when set to ``False``, 2024-04-03T16:54:26.5270082Z this module does not track such statistics, and initializes statistics 2024-04-03T16:54:26.5270349Z buffers :attr:`running_mean` and :attr:`running_var` as ``None``. 2024-04-03T16:54:26.5270669Z When these buffers are ``None``, this module always uses batch statistics. 2024-04-03T16:54:26.5270883Z in both training and eval modes. Default: ``True`` 2024-04-03T16:54:26.5271198Z process_group: synchronization of stats happen within each process group 2024-04-03T16:54:26.5271487Z individually. Default behavior is synchronization across the whole 2024-04-03T16:54:26.5271596Z world 2024-04-03T16:54:26.5271681Z 2024-04-03T16:54:26.5271776Z Shape: 2024-04-03T16:54:26.5271982Z - Input: :math:`(N, C, +)` 2024-04-03T16:54:26.5272258Z - Output: :math:`(N, C, +)` (same shape as input) 2024-04-03T16:54:26.5272357Z 2024-04-03T16:54:26.5272453Z .. note:: 2024-04-03T16:54:26.5272777Z Synchronization of batchnorm statistics occurs only while training, i.e. 2024-04-03T16:54:26.5273050Z synchronization is disabled when ``model.eval()`` is set or if 2024-04-03T16:54:26.5273210Z ``self.training`` is otherwise ``False``. 2024-04-03T16:54:26.5273297Z 2024-04-03T16:54:26.5273411Z Examples:: 2024-04-03T16:54:26.5273495Z 2024-04-03T16:54:26.5273607Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.5273761Z >>> # With Learnable Parameters 2024-04-03T16:54:26.5273896Z >>> m = nn.SyncBatchNorm(100) 2024-04-03T16:54:26.5274053Z >>> # creating process group (optional) 2024-04-03T16:54:26.5274253Z >>> # ranks is a list of int identifying rank ids. 2024-04-03T16:54:26.5274375Z >>> ranks = list(range(8)) 2024-04-03T16:54:26.5274513Z >>> r1, r2 = ranks[:4], ranks[4:] 2024-04-03T16:54:26.5274720Z >>> # Note: every rank calls into new_group for every 2024-04-03T16:54:26.5274921Z >>> # process group created, even if that rank is not 2024-04-03T16:54:26.5275053Z >>> # part of the group. 2024-04-03T16:54:26.5275378Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2024-04-03T16:54:26.5275642Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2024-04-03T16:54:26.5275805Z >>> # Without Learnable Parameters 2024-04-03T16:54:26.5276082Z >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group) 2024-04-03T16:54:26.5276242Z >>> input = torch.randn(20, 100, 35, 45, 10) 2024-04-03T16:54:26.5276371Z >>> output = m(input) 2024-04-03T16:54:26.5276457Z 2024-04-03T16:54:26.5284466Z >>> # network is nn.BatchNorm layer 2024-04-03T16:54:26.5284927Z >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group) 2024-04-03T16:54:26.5285163Z >>> # only single gpu per process is currently supported 2024-04-03T16:54:26.5285467Z >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel( 2024-04-03T16:54:26.5285632Z >>> sync_bn_network, 2024-04-03T16:54:26.5285809Z >>> device_ids=[args.local_rank], 2024-04-03T16:54:26.5286072Z >>> output_device=args.local_rank) 2024-04-03T16:54:26.5286179Z 2024-04-03T16:54:26.5286602Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5286689Z 2024-04-03T16:54:26.5286810Z warnings.warn(msg) 2024-04-03T16:54:26.5286895Z 2024-04-03T16:54:26.5287101Z --- Parse Warning: 63 / 87 --- 2024-04-03T16:54:26.5288664Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=790. 2024-04-03T16:54:26.5289073Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5289503Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers. 2024-04-03T16:54:26.5289590Z 2024-04-03T16:54:26.5289689Z Args: 2024-04-03T16:54:26.5290027Z module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers 2024-04-03T16:54:26.5290309Z process_group (optional): process group to scope synchronization, 2024-04-03T16:54:26.5290453Z default is the whole world 2024-04-03T16:54:26.5290553Z 2024-04-03T16:54:26.5290649Z Returns: 2024-04-03T16:54:26.5291028Z The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm` 2024-04-03T16:54:26.5291382Z layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer, 2024-04-03T16:54:26.5291677Z a new :class:`torch.nn.SyncBatchNorm` layer object will be returned 2024-04-03T16:54:26.5291788Z instead. 2024-04-03T16:54:26.5291872Z 2024-04-03T16:54:26.5291981Z Example:: 2024-04-03T16:54:26.5292079Z 2024-04-03T16:54:26.5292243Z >>> # Network with nn.BatchNorm layer 2024-04-03T16:54:26.5292438Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-04-03T16:54:26.5292604Z >>> module = torch.nn.Sequential( 2024-04-03T16:54:26.5292763Z >>> torch.nn.Linear(20, 100), 2024-04-03T16:54:26.5292928Z >>> torch.nn.BatchNorm1d(100), 2024-04-03T16:54:26.5293051Z >>> ).cuda() 2024-04-03T16:54:26.5293221Z >>> # creating process group (optional) 2024-04-03T16:54:26.5293417Z >>> # ranks is a list of int identifying rank ids. 2024-04-03T16:54:26.5293560Z >>> ranks = list(range(8)) 2024-04-03T16:54:26.5293704Z >>> r1, r2 = ranks[:4], ranks[4:] 2024-04-03T16:54:26.5293906Z >>> # Note: every rank calls into new_group for every 2024-04-03T16:54:26.5294228Z >>> # process group created, even if that rank is not 2024-04-03T16:54:26.5294361Z >>> # part of the group. 2024-04-03T16:54:26.5294536Z >>> # xdoctest: +SKIP("distributed") 2024-04-03T16:54:26.5294868Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2024-04-03T16:54:26.5295141Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2024-04-03T16:54:26.5295549Z >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group) 2024-04-03T16:54:26.5295638Z 2024-04-03T16:54:26.5295736Z 2024-04-03T16:54:26.5296143Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5296230Z 2024-04-03T16:54:26.5296343Z warnings.warn(msg) 2024-04-03T16:54:26.5296441Z 2024-04-03T16:54:26.5296640Z --- Parse Warning: 64 / 87 --- 2024-04-03T16:54:26.5297965Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Unflatten in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=56. 2024-04-03T16:54:26.5298409Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5298494Z 2024-04-03T16:54:26.5298928Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`. 2024-04-03T16:54:26.5299015Z 2024-04-03T16:54:26.5299384Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can 2024-04-03T16:54:26.5299718Z be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively. 2024-04-03T16:54:26.5299802Z 2024-04-03T16:54:26.5300258Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be 2024-04-03T16:54:26.5300650Z a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input; a `NamedShape` 2024-04-03T16:54:26.5300869Z (tuple of `(name, size)` tuples) for `NamedTensor` input. 2024-04-03T16:54:26.5300966Z 2024-04-03T16:54:26.5301063Z Shape: 2024-04-03T16:54:26.5301452Z - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at 2024-04-03T16:54:26.5301801Z dimension :attr:`dim` and :math:`*` means any number of dimensions including none. 2024-04-03T16:54:26.5302297Z - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and 2024-04-03T16:54:26.5302516Z :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`. 2024-04-03T16:54:26.5302648Z 2024-04-03T16:54:26.5302740Z Args: 2024-04-03T16:54:26.5302938Z dim (Union[int, str]): Dimension to be unflattened 2024-04-03T16:54:26.5303406Z unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension 2024-04-03T16:54:26.5303490Z 2024-04-03T16:54:26.5303587Z Examples: 2024-04-03T16:54:26.5303728Z >>> input = torch.randn(2, 50) 2024-04-03T16:54:26.5303845Z >>> # With tuple of ints 2024-04-03T16:54:26.5303961Z >>> m = nn.Sequential( 2024-04-03T16:54:26.5304092Z >>> nn.Linear(50, 50), 2024-04-03T16:54:26.5304221Z >>> nn.Unflatten(1, (2, 5, 5)) 2024-04-03T16:54:26.5304323Z >>> ) 2024-04-03T16:54:26.5304434Z >>> output = m(input) 2024-04-03T16:54:26.5304541Z >>> output.size() 2024-04-03T16:54:26.5304665Z torch.Size([2, 2, 5, 5]) 2024-04-03T16:54:26.5304773Z >>> # With torch.Size 2024-04-03T16:54:26.5304887Z >>> m = nn.Sequential( 2024-04-03T16:54:26.5305012Z >>> nn.Linear(50, 50), 2024-04-03T16:54:26.5305174Z >>> nn.Unflatten(1, torch.Size([2, 5, 5])) 2024-04-03T16:54:26.5305265Z >>> ) 2024-04-03T16:54:26.5305388Z >>> output = m(input) 2024-04-03T16:54:26.5305493Z >>> output.size() 2024-04-03T16:54:26.5305606Z torch.Size([2, 2, 5, 5]) 2024-04-03T16:54:26.5305771Z >>> # With namedshape (tuple of tuples) 2024-04-03T16:54:26.5306031Z >>> input = torch.randn(2, 50, names=('N', 'features')) 2024-04-03T16:54:26.5306378Z >>> unflatten = nn.Unflatten('features', (('C', 2), ('H', 5), ('W', 5))) 2024-04-03T16:54:26.5306518Z >>> output = unflatten(input) 2024-04-03T16:54:26.5306623Z >>> output.size() 2024-04-03T16:54:26.5306735Z torch.Size([2, 2, 5, 5]) 2024-04-03T16:54:26.5306833Z 2024-04-03T16:54:26.5307221Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5307310Z 2024-04-03T16:54:26.5307433Z warnings.warn(msg) 2024-04-03T16:54:26.5307519Z 2024-04-03T16:54:26.5307729Z --- Parse Warning: 65 / 87 --- 2024-04-03T16:54:26.5309174Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1530. 2024-04-03T16:54:26.5309576Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5309886Z Creates a criterion that measures the triplet loss given input 2024-04-03T16:54:26.5310144Z tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor, 2024-04-03T16:54:26.5310425Z positive, and negative examples, respectively), and a nonnegative, 2024-04-03T16:54:26.5310825Z real-valued function ("distance function") used to compute the relationship 2024-04-03T16:54:26.5311120Z between the anchor and positive example ("positive distance") and the 2024-04-03T16:54:26.5311329Z anchor and negative example ("negative distance"). 2024-04-03T16:54:26.5311417Z 2024-04-03T16:54:26.5311794Z The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``) 2024-04-03T16:54:26.5311923Z can be described as: 2024-04-03T16:54:26.5312010Z 2024-04-03T16:54:26.5312110Z .. math:: 2024-04-03T16:54:26.5312317Z \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad 2024-04-03T16:54:26.5312605Z l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\} 2024-04-03T16:54:26.5312693Z 2024-04-03T16:54:26.5313128Z where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function 2024-04-03T16:54:26.5313515Z quantifying the closeness of two tensors, referred to as the :attr:`distance_function`; 2024-04-03T16:54:26.5313871Z and :math:`margin` is a nonnegative margin representing the minimum difference 2024-04-03T16:54:26.5314249Z between the positive and negative distances that is required for the loss to 2024-04-03T16:54:26.5314567Z be 0. The input tensors have :math:`N` elements each and can be of any shape 2024-04-03T16:54:26.5314734Z that the distance function can handle. 2024-04-03T16:54:26.5314818Z 2024-04-03T16:54:26.5315007Z If :attr:`reduction` is not ``'none'`` 2024-04-03T16:54:26.5315171Z (default ``'mean'``), then: 2024-04-03T16:54:26.5315257Z 2024-04-03T16:54:26.5315353Z .. math:: 2024-04-03T16:54:26.5315464Z \ell(x, y) = 2024-04-03T16:54:26.5315565Z \begin{cases} 2024-04-03T16:54:26.5315909Z \operatorname{mean}(L), & \text{if reduction} = \text{`mean';}\\ 2024-04-03T16:54:26.5316245Z \operatorname{sum}(L), & \text{if reduction} = \text{`sum'.} 2024-04-03T16:54:26.5316344Z \end{cases} 2024-04-03T16:54:26.5316430Z 2024-04-03T16:54:26.5316762Z See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet 2024-04-03T16:54:26.5317099Z loss for input tensors using the :math:`l_p` distance as the distance function. 2024-04-03T16:54:26.5317184Z 2024-04-03T16:54:26.5317288Z Args: 2024-04-03T16:54:26.5317715Z distance_function (Callable, optional): A nonnegative, real-valued function that 2024-04-03T16:54:26.5317977Z quantifies the closeness of two tensors. If not specified, 2024-04-03T16:54:26.5318203Z `nn.PairwiseDistance` will be used. Default: ``None`` 2024-04-03T16:54:26.5318559Z margin (float, optional): A nonnegative margin representing the minimum difference 2024-04-03T16:54:26.5318938Z between the positive and negative distances required for the loss to be 0. Larger 2024-04-03T16:54:26.5319308Z margins penalize cases where the negative examples are not distant enough from the 2024-04-03T16:54:26.5319541Z anchors, relative to the positives. Default: :math:`1`. 2024-04-03T16:54:26.5319891Z swap (bool, optional): Whether to use the distance swap described in the paper 2024-04-03T16:54:26.5320231Z `Learning shallow convolutional feature descriptors with triplet losses` by 2024-04-03T16:54:26.5320593Z V. Balntas, E. Riba et al. If True, and if the positive example is closer to the 2024-04-03T16:54:26.5320961Z negative example than the anchor is, swaps the positive example and the anchor in 2024-04-03T16:54:26.5321168Z the loss computation. Default: ``False``. 2024-04-03T16:54:26.5321550Z reduction (str, optional): Specifies the (optional) reduction to apply to the output: 2024-04-03T16:54:26.5321891Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2024-04-03T16:54:26.5322213Z ``'mean'``: the sum of the output will be divided by the number of 2024-04-03T16:54:26.5322632Z elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'`` 2024-04-03T16:54:26.5322720Z 2024-04-03T16:54:26.5322806Z 2024-04-03T16:54:26.5322912Z Shape: 2024-04-03T16:54:26.5323348Z - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions 2024-04-03T16:54:26.5323525Z as supported by the distance function. 2024-04-03T16:54:26.5323957Z - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar 2024-04-03T16:54:26.5324062Z otherwise. 2024-04-03T16:54:26.5324160Z 2024-04-03T16:54:26.5324263Z Examples:: 2024-04-03T16:54:26.5324348Z 2024-04-03T16:54:26.5324481Z >>> # Initialize embeddings 2024-04-03T16:54:26.5324632Z >>> embedding = nn.Embedding(1000, 128) 2024-04-03T16:54:26.5324797Z >>> anchor_ids = torch.randint(0, 1000, (1,)) 2024-04-03T16:54:26.5324980Z >>> positive_ids = torch.randint(0, 1000, (1,)) 2024-04-03T16:54:26.5325173Z >>> negative_ids = torch.randint(0, 1000, (1,)) 2024-04-03T16:54:26.5325348Z >>> anchor = embedding(anchor_ids) 2024-04-03T16:54:26.5325514Z >>> positive = embedding(positive_ids) 2024-04-03T16:54:26.5325665Z >>> negative = embedding(negative_ids) 2024-04-03T16:54:26.5325755Z >>> 2024-04-03T16:54:26.5325943Z >>> # Built-in Distance Function 2024-04-03T16:54:26.5326052Z >>> triplet_loss = \ 2024-04-03T16:54:26.5326419Z >>> nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance()) 2024-04-03T16:54:26.5326618Z >>> output = triplet_loss(anchor, positive, negative) 2024-04-03T16:54:26.5326732Z >>> output.backward() 2024-04-03T16:54:26.5326833Z >>> 2024-04-03T16:54:26.5326963Z >>> # Custom Distance Function 2024-04-03T16:54:26.5327081Z >>> def l_infinity(x1, x2): 2024-04-03T16:54:26.5327360Z >>> return torch.max(torch.abs(x1 - x2), dim=1).values 2024-04-03T16:54:26.5327454Z >>> 2024-04-03T16:54:26.5327710Z >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time") 2024-04-03T16:54:26.5327833Z >>> triplet_loss = ( 2024-04-03T16:54:26.5328188Z >>> nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5)) 2024-04-03T16:54:26.5328385Z >>> output = triplet_loss(anchor, positive, negative) 2024-04-03T16:54:26.5328509Z >>> output.backward() 2024-04-03T16:54:26.5328597Z >>> 2024-04-03T16:54:26.5328750Z >>> # Custom Distance Function (Lambda) 2024-04-03T16:54:26.5328871Z >>> triplet_loss = ( 2024-04-03T16:54:26.5329043Z >>> nn.TripletMarginWithDistanceLoss( 2024-04-03T16:54:26.5329397Z >>> distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y))) 2024-04-03T16:54:26.5329595Z >>> output = triplet_loss(anchor, positive, negative) 2024-04-03T16:54:26.5329706Z >>> output.backward() 2024-04-03T16:54:26.5329803Z 2024-04-03T16:54:26.5329903Z Reference: 2024-04-03T16:54:26.5330314Z V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses: 2024-04-03T16:54:26.5330569Z http://www.bmva.org/bmvc/2016/papers/paper119/index.html 2024-04-03T16:54:26.5330660Z 2024-04-03T16:54:26.5331055Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17)) 2024-04-03T16:54:26.5331160Z 2024-04-03T16:54:26.5331271Z warnings.warn(msg) 2024-04-03T16:54:26.5331356Z 2024-04-03T16:54:26.5331600Z --- Parse Warning: 66 / 87 --- 2024-04-03T16:54:26.5332935Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MaxUnpool2d in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=327. 2024-04-03T16:54:26.5333350Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5333543Z Computes a partial inverse of :class:`MaxPool2d`. 2024-04-03T16:54:26.5333630Z 2024-04-03T16:54:26.5334170Z :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost. 2024-04-03T16:54:26.5334259Z 2024-04-03T16:54:26.5334593Z :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d` 2024-04-03T16:54:26.5334933Z including the indices of the maximal values and computes a partial inverse 2024-04-03T16:54:26.5335177Z in which all non-maximal values are set to zero. 2024-04-03T16:54:26.5335266Z 2024-04-03T16:54:26.5335372Z Note: 2024-04-03T16:54:26.5335781Z This operation may behave nondeterministically when the input indices has repeat values. 2024-04-03T16:54:26.5336281Z See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information. 2024-04-03T16:54:26.5336379Z 2024-04-03T16:54:26.5336710Z .. note:: :class:`MaxPool2d` can map several input sizes to the same output 2024-04-03T16:54:26.5336987Z sizes. Hence, the inversion process can get ambiguous. 2024-04-03T16:54:26.5337241Z To accommodate this, you can provide the needed output size 2024-04-03T16:54:26.5337528Z as an additional argument :attr:`output_size` in the forward call. 2024-04-03T16:54:26.5337694Z See the Inputs and Example below. 2024-04-03T16:54:26.5337781Z 2024-04-03T16:54:26.5337872Z Args: 2024-04-03T16:54:26.5338127Z kernel_size (int or tuple): Size of the max pooling window. 2024-04-03T16:54:26.5338354Z stride (int or tuple): Stride of the max pooling window. 2024-04-03T16:54:26.5338534Z It is set to :attr:`kernel_size` by default. 2024-04-03T16:54:26.5338795Z padding (int or tuple): Padding that was added to the input 2024-04-03T16:54:26.5338880Z 2024-04-03T16:54:26.5338972Z Inputs: 2024-04-03T16:54:26.5339183Z - `input`: the input Tensor to invert 2024-04-03T16:54:26.5339516Z - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d` 2024-04-03T16:54:26.5339784Z - `output_size` (optional): the targeted output size 2024-04-03T16:54:26.5339873Z 2024-04-03T16:54:26.5339965Z Shape: 2024-04-03T16:54:26.5340305Z - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`. 2024-04-03T16:54:26.5340680Z - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where 2024-04-03T16:54:26.5340768Z 2024-04-03T16:54:26.5340880Z .. math:: 2024-04-03T16:54:26.5341382Z H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]} 2024-04-03T16:54:26.5341468Z 2024-04-03T16:54:26.5341579Z .. math:: 2024-04-03T16:54:26.5342181Z W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]} 2024-04-03T16:54:26.5342271Z 2024-04-03T16:54:26.5342515Z or as given by :attr:`output_size` in the call operator 2024-04-03T16:54:26.5342602Z 2024-04-03T16:54:26.5342715Z Example:: 2024-04-03T16:54:26.5342801Z 2024-04-03T16:54:26.5343023Z >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True) 2024-04-03T16:54:26.5343197Z >>> unpool = nn.MaxUnpool2d(2, stride=2) 2024-04-03T16:54:26.5343373Z >>> input = torch.tensor([[[[ 1., 2., 3., 4.], 2024-04-03T16:54:26.5343524Z [ 5., 6., 7., 8.], 2024-04-03T16:54:26.5343739Z [ 9., 10., 11., 12.], 2024-04-03T16:54:26.5343892Z [13., 14., 15., 16.]]]]) 2024-04-03T16:54:26.5344037Z >>> output, indices = pool(input) 2024-04-03T16:54:26.5344176Z >>> unpool(output, indices) 2024-04-03T16:54:26.5344316Z tensor([[[[ 0., 0., 0., 0.], 2024-04-03T16:54:26.5344447Z [ 0., 6., 0., 8.], 2024-04-03T16:54:26.5344590Z [ 0., 0., 0., 0.], 2024-04-03T16:54:26.5344722Z [ 0., 14., 0., 16.]]]]) 2024-04-03T16:54:26.5345045Z >>> # Now using output_size to resolve an ambiguous size for the inverse 2024-04-03T16:54:26.5345274Z >>> input = torch.torch.tensor([[[[ 1., 2., 3., 4., 5.], 2024-04-03T16:54:26.5345437Z [ 6., 7., 8., 9., 10.], 2024-04-03T16:54:26.5345616Z [11., 12., 13., 14., 15.], 2024-04-03T16:54:26.5345781Z [16., 17., 18., 19., 20.]]]]) 2024-04-03T16:54:26.5345927Z >>> output, indices = pool(input) 2024-04-03T16:54:26.5346165Z >>> # This call will not work without specifying output_size 2024-04-03T16:54:26.5346370Z >>> unpool(output, indices, output_size=input.size()) 2024-04-03T16:54:26.5346539Z tensor([[[[ 0., 0., 0., 0., 0.], 2024-04-03T16:54:26.5346711Z [ 0., 7., 0., 9., 0.], 2024-04-03T16:54:26.5346839Z [ 0., 0., 0., 0., 0.], 2024-04-03T16:54:26.5346977Z [ 0., 17., 0., 19., 0.]]]]) 2024-04-03T16:54:26.5347080Z 2024-04-03T16:54:26.5347165Z 2024-04-03T16:54:26.5347254Z 2024-04-03T16:54:26.5347662Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5347748Z 2024-04-03T16:54:26.5347874Z warnings.warn(msg) 2024-04-03T16:54:26.5347958Z 2024-04-03T16:54:26.5348159Z --- Parse Warning: 67 / 87 --- 2024-04-03T16:54:26.5349503Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=EmbeddingBag in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=228. 2024-04-03T16:54:26.5349905Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5350426Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings. 2024-04-03T16:54:26.5350529Z 2024-04-03T16:54:26.5350974Z For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`, 2024-04-03T16:54:26.5351103Z and with 2D inputs, this class 2024-04-03T16:54:26.5351202Z 2024-04-03T16:54:26.5351630Z * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``, 2024-04-03T16:54:26.5352080Z * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``, 2024-04-03T16:54:26.5352497Z * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``. 2024-04-03T16:54:26.5352584Z 2024-04-03T16:54:26.5353079Z However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these 2024-04-03T16:54:26.5353180Z operations. 2024-04-03T16:54:26.5353264Z 2024-04-03T16:54:26.5353675Z EmbeddingBag also supports per-sample weights as an argument to the forward 2024-04-03T16:54:26.5353998Z pass. This scales the output of the Embedding before performing a weighted 2024-04-03T16:54:26.5354339Z reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the 2024-04-03T16:54:26.5354671Z only supported ``mode`` is ``"sum"``, which computes a weighted sum according to 2024-04-03T16:54:26.5354824Z :attr:`per_sample_weights`. 2024-04-03T16:54:26.5354922Z 2024-04-03T16:54:26.5355014Z Args: 2024-04-03T16:54:26.5355253Z num_embeddings (int): size of the dictionary of embeddings 2024-04-03T16:54:26.5355480Z embedding_dim (int): the size of each embedding vector 2024-04-03T16:54:26.5355908Z max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm` 2024-04-03T16:54:26.5356128Z is renormalized to have norm :attr:`max_norm`. 2024-04-03T16:54:26.5356738Z norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``. 2024-04-03T16:54:26.5357188Z scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of 2024-04-03T16:54:26.5357513Z the words in the mini-batch. Default ``False``. 2024-04-03T16:54:26.5357773Z Note: this option is not supported when ``mode="max"``. 2024-04-03T16:54:26.5358126Z mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag. 2024-04-03T16:54:26.5358435Z ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights` 2024-04-03T16:54:26.5358770Z into consideration. ``"mean"`` computes the average of the values 2024-04-03T16:54:26.5359054Z in the bag, ``"max"`` computes the max value over each bag. 2024-04-03T16:54:26.5359218Z Default: ``"mean"`` 2024-04-03T16:54:26.5359668Z sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See 2024-04-03T16:54:26.5360030Z Notes for more details regarding sparse gradients. Note: this option is not 2024-04-03T16:54:26.5360204Z supported when ``mode="max"``. 2024-04-03T16:54:26.5360707Z include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element 2024-04-03T16:54:26.5361035Z is equivalent to the size of `indices`. This matches the CSR format. 2024-04-03T16:54:26.5361492Z padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the 2024-04-03T16:54:26.5361865Z gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated 2024-04-03T16:54:26.5362223Z during training, i.e. it remains as a fixed "pad". For a newly constructed 2024-04-03T16:54:26.5362581Z EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all 2024-04-03T16:54:26.5362945Z zeros, but can be updated to another value to be used as the padding vector. 2024-04-03T16:54:26.5363287Z Note that the embedding vector at :attr:`padding_idx` is excluded from the 2024-04-03T16:54:26.5363425Z reduction. 2024-04-03T16:54:26.5363524Z 2024-04-03T16:54:26.5363624Z Attributes: 2024-04-03T16:54:26.5364048Z weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)` 2024-04-03T16:54:26.5364256Z initialized from :math:`\mathcal{N}(0, 1)`. 2024-04-03T16:54:26.5364344Z 2024-04-03T16:54:26.5364458Z Examples:: 2024-04-03T16:54:26.5364546Z 2024-04-03T16:54:26.5364780Z >>> # an EmbeddingBag module containing 10 tensors of size 3 2024-04-03T16:54:26.5365064Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum') 2024-04-03T16:54:26.5365266Z >>> # a batch of 2 samples of 4 indices each 2024-04-03T16:54:26.5365522Z >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long) 2024-04-03T16:54:26.5365730Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2024-04-03T16:54:26.5365972Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-04-03T16:54:26.5366113Z >>> embedding_sum(input, offsets) 2024-04-03T16:54:26.5366313Z tensor([[-0.8861, -5.4350, -0.0523], 2024-04-03T16:54:26.5366500Z [ 1.1306, -2.5798, -1.0044]]) 2024-04-03T16:54:26.5366586Z 2024-04-03T16:54:26.5366735Z >>> # Example with padding_idx 2024-04-03T16:54:26.5367118Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2) 2024-04-03T16:54:26.5367388Z >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long) 2024-04-03T16:54:26.5367581Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2024-04-03T16:54:26.5367725Z >>> embedding_sum(input, offsets) 2024-04-03T16:54:26.5367870Z tensor([[ 0.0000, 0.0000, 0.0000], 2024-04-03T16:54:26.5368051Z [-0.7082, 3.2145, -2.6251]]) 2024-04-03T16:54:26.5368135Z 2024-04-03T16:54:26.5368384Z >>> # An EmbeddingBag can be loaded from an Embedding like so 2024-04-03T16:54:26.5368577Z >>> embedding = nn.Embedding(10, 3, padding_idx=2) 2024-04-03T16:54:26.5368810Z >>> embedding_sum = nn.EmbeddingBag.from_pretrained( 2024-04-03T16:54:26.5368969Z embedding.weight, 2024-04-03T16:54:26.5369136Z padding_idx=embedding.padding_idx, 2024-04-03T16:54:26.5369279Z mode='sum') 2024-04-03T16:54:26.5369381Z 2024-04-03T16:54:26.5369770Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5369858Z 2024-04-03T16:54:26.5369978Z warnings.warn(msg) 2024-04-03T16:54:26.5370066Z 2024-04-03T16:54:26.5370275Z --- Parse Warning: 68 / 87 --- 2024-04-03T16:54:26.5371769Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel.join in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1713. 2024-04-03T16:54:26.5372172Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5372274Z 2024-04-03T16:54:26.5372584Z Context manager for training with uneven inputs across processes in DDP. 2024-04-03T16:54:26.5372668Z 2024-04-03T16:54:26.5373033Z This context manager will keep track of already-joined DDP processes, 2024-04-03T16:54:26.5373320Z and "shadow" the forward and backward passes by inserting collective 2024-04-03T16:54:26.5373674Z communication operations to match with the ones created by non-joined 2024-04-03T16:54:26.5373991Z DDP processes. This will ensure each collective call has a corresponding 2024-04-03T16:54:26.5374475Z call by already-joined DDP processes, preventing hangs or errors that 2024-04-03T16:54:26.5374745Z would otherwise happen when training with uneven inputs across 2024-04-03T16:54:26.5375044Z processes. Alternatively, if the flag ``throw_on_early_termination`` is 2024-04-03T16:54:26.5375333Z specified to be ``True``, all trainers will throw an error once one rank 2024-04-03T16:54:26.5375622Z runs out of inputs, allowing these errors to be caught and handled 2024-04-03T16:54:26.5375757Z according to application logic. 2024-04-03T16:54:26.5375847Z 2024-04-03T16:54:26.5376153Z Once all DDP processes have joined, the context manager will broadcast 2024-04-03T16:54:26.5376454Z the model corresponding to the last joined process to all processes to 2024-04-03T16:54:26.5376646Z ensure the model is the same across all processes 2024-04-03T16:54:26.5376782Z (which is guaranteed by DDP). 2024-04-03T16:54:26.5376904Z 2024-04-03T16:54:26.5377183Z To use this to enable training with uneven inputs across processes, 2024-04-03T16:54:26.5377493Z simply wrap this context manager around your training loop. No further 2024-04-03T16:54:26.5377715Z modifications to the model or data loading is required. 2024-04-03T16:54:26.5377814Z 2024-04-03T16:54:26.5377916Z .. warning:: 2024-04-03T16:54:26.5378210Z If the model or training loop this context manager is wrapped around 2024-04-03T16:54:26.5378461Z has additional distributed collective operations, such as 2024-04-03T16:54:26.5378764Z ``SyncBatchNorm`` in the model's forward pass, then the flag 2024-04-03T16:54:26.5379057Z ``throw_on_early_termination`` must be enabled. This is because this 2024-04-03T16:54:26.5379405Z context manager is not aware of non-DDP collective communication. 2024-04-03T16:54:26.5379636Z This flag will cause all ranks to throw when any one rank 2024-04-03T16:54:26.5379909Z exhausts inputs, allowing these errors to be caught and recovered 2024-04-03T16:54:26.5380036Z from across all ranks. 2024-04-03T16:54:26.5380121Z 2024-04-03T16:54:26.5380212Z Args: 2024-04-03T16:54:26.5380463Z divide_by_initial_world_size (bool): If ``True``, will divide 2024-04-03T16:54:26.5380737Z gradients by the initial ``world_size`` DDP training was launched 2024-04-03T16:54:26.5381023Z with. If ``False``, will compute the effective world size 2024-04-03T16:54:26.5381303Z (number of ranks that have not depleted their inputs yet) and 2024-04-03T16:54:26.5381495Z divide gradients by that during allreduce. Set 2024-04-03T16:54:26.5381738Z ``divide_by_initial_world_size=True`` to ensure every input 2024-04-03T16:54:26.5382014Z sample including the uneven inputs have equal weight in terms of 2024-04-03T16:54:26.5382374Z how much they contribute to the global gradient. This is 2024-04-03T16:54:26.5382619Z achieved by always dividing the gradient by the initial 2024-04-03T16:54:26.5382871Z ``world_size`` even when we encounter uneven inputs. If you set 2024-04-03T16:54:26.5383117Z this to ``False``, we divide the gradient by the remaining 2024-04-03T16:54:26.5383383Z number of nodes. This ensures parity with training on a smaller 2024-04-03T16:54:26.5383626Z ``world_size`` although it also means the uneven inputs would 2024-04-03T16:54:26.5383894Z contribute more towards the global gradient. Typically, you 2024-04-03T16:54:26.5384152Z would want to set this to ``True`` for cases where the last few 2024-04-03T16:54:26.5384417Z inputs of your training job are uneven. In extreme cases, where 2024-04-03T16:54:26.5384684Z there is a large discrepancy in the number of inputs, setting 2024-04-03T16:54:26.5384871Z this to ``False`` might provide better results. 2024-04-03T16:54:26.5385159Z enable (bool): Whether to enable uneven input detection or not. Pass 2024-04-03T16:54:26.5385407Z in ``enable=False`` to disable in cases where you know that 2024-04-03T16:54:26.5385655Z inputs are even across participating processes. Default is 2024-04-03T16:54:26.5385763Z ``True``. 2024-04-03T16:54:26.5386001Z throw_on_early_termination (bool): Whether to throw an error 2024-04-03T16:54:26.5386236Z or continue training when at least one rank has exhausted 2024-04-03T16:54:26.5386506Z inputs. If ``True``, will throw upon the first rank reaching end 2024-04-03T16:54:26.5386747Z of data. If ``False``, will continue training with a smaller 2024-04-03T16:54:26.5386999Z effective world size until all ranks are joined. Note that if 2024-04-03T16:54:26.5387168Z this flag is specified, then the flag 2024-04-03T16:54:26.5387388Z ``divide_by_initial_world_size`` would be ignored. Default 2024-04-03T16:54:26.5387537Z is ``False``. 2024-04-03T16:54:26.5387629Z 2024-04-03T16:54:26.5387714Z 2024-04-03T16:54:26.5387814Z Example:: 2024-04-03T16:54:26.5387912Z 2024-04-03T16:54:26.5388062Z >>> # xdoctest: +SKIP("Distributed") 2024-04-03T16:54:26.5388168Z >>> import torch 2024-04-03T16:54:26.5388330Z >>> import torch.distributed as dist 2024-04-03T16:54:26.5388432Z >>> import os 2024-04-03T16:54:26.5388608Z >>> import torch.multiprocessing as mp 2024-04-03T16:54:26.5388725Z >>> import torch.nn as nn 2024-04-03T16:54:26.5388846Z >>> # On each spawned worker 2024-04-03T16:54:26.5388965Z >>> def worker(rank): 2024-04-03T16:54:26.5389228Z >>> dist.init_process_group("nccl", rank=rank, world_size=2) 2024-04-03T16:54:26.5389366Z >>> torch.cuda.set_device(rank) 2024-04-03T16:54:26.5389555Z >>> model = nn.Linear(1, 1, bias=False).to(rank) 2024-04-03T16:54:26.5389796Z >>> model = torch.nn.parallel.DistributedDataParallel( 2024-04-03T16:54:26.5389979Z >>> model, device_ids=[rank], output_device=rank 2024-04-03T16:54:26.5390085Z >>> ) 2024-04-03T16:54:26.5390258Z >>> # Rank 1 gets one more input than rank 0. 2024-04-03T16:54:26.5390509Z >>> inputs = [torch.tensor([1]).float() for _ in range(10 + rank)] 2024-04-03T16:54:26.5390636Z >>> with model.join(): 2024-04-03T16:54:26.5390792Z >>> for _ in range(5): 2024-04-03T16:54:26.5390955Z >>> for inp in inputs: 2024-04-03T16:54:26.5391112Z >>> loss = model(inp).sum() 2024-04-03T16:54:26.5391244Z >>> loss.backward() 2024-04-03T16:54:26.5391513Z >>> # Without the join() API, the below synchronization will hang 2024-04-03T16:54:26.5391771Z >>> # blocking for rank 1's allreduce to complete. 2024-04-03T16:54:26.5391933Z >>> torch.cuda.synchronize(device=rank) 2024-04-03T16:54:26.5392033Z 2024-04-03T16:54:26.5392422Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5392508Z 2024-04-03T16:54:26.5392628Z warnings.warn(msg) 2024-04-03T16:54:26.5392714Z 2024-04-03T16:54:26.5392912Z --- Parse Warning: 69 / 87 --- 2024-04-03T16:54:26.5394512Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2011. 2024-04-03T16:54:26.5394920Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5395016Z 2024-04-03T16:54:26.5395435Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction. 2024-04-03T16:54:26.5395521Z 2024-04-03T16:54:26.5395803Z Registers an optimizer with DDP such that the optimization for a 2024-04-03T16:54:26.5396127Z parameter will run immediately when that parameter's gradient is 2024-04-03T16:54:26.5396386Z finished with reduction, instead of waiting for all parameters' 2024-04-03T16:54:26.5396686Z gradients to finish reduction. This can result in a training speedup 2024-04-03T16:54:26.5396978Z depending on your workload since the optimizer can run while gradient 2024-04-03T16:54:26.5397283Z reduction for other parameters are still ongoing. In addition, this has 2024-04-03T16:54:26.5397590Z the potential to reduce peak memory consumption during training, as it 2024-04-03T16:54:26.5397924Z only needs to load the per-parameter optimizer states of a single 2024-04-03T16:54:26.5398268Z parameter at a time, instead of loading all per-parameter optimizer 2024-04-03T16:54:26.5398369Z states at once. 2024-04-03T16:54:26.5398454Z 2024-04-03T16:54:26.5398551Z Args: 2024-04-03T16:54:26.5398814Z optim (Type): a ``torch.optim.Optimizer`` class to be registered 2024-04-03T16:54:26.5398961Z as a fused optimizer. 2024-04-03T16:54:26.5399186Z *args (Sequence[Any]): Arguments to forward to `optim`. 2024-04-03T16:54:26.5399461Z optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters 2024-04-03T16:54:26.5399757Z to optimize, similar to `params` argument of traditional `torch.optim` 2024-04-03T16:54:26.5400036Z Optimizers. If this is omitted, all DDP model parameters will be 2024-04-03T16:54:26.5400138Z optimized. 2024-04-03T16:54:26.5400407Z **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`. 2024-04-03T16:54:26.5400507Z 2024-04-03T16:54:26.5400634Z .. warning :: 2024-04-03T16:54:26.5400915Z _register_fused_optim should only be called once on a DDP instance, 2024-04-03T16:54:26.5401198Z and registering multiple fused optimizers for the same DDP model 2024-04-03T16:54:26.5401361Z is not currently supported. Please ping 2024-04-03T16:54:26.5401674Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-04-03T16:54:26.5401784Z for your use case. 2024-04-03T16:54:26.5401871Z 2024-04-03T16:54:26.5401979Z .. warning :: 2024-04-03T16:54:26.5402221Z _register_fused_optim and register_comm_hook currently do not 2024-04-03T16:54:26.5402496Z compose together, meaning that custom DDP communication hooks are 2024-04-03T16:54:26.5402747Z not supported with overlapped optimizers. Please ping 2024-04-03T16:54:26.5403082Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-04-03T16:54:26.5403190Z for your use case. 2024-04-03T16:54:26.5403289Z 2024-04-03T16:54:26.5403388Z .. warning :: 2024-04-03T16:54:26.5403675Z Gradient accumulation and DDP `no_sync` are currently not supported 2024-04-03T16:54:26.5403844Z with overlapped optimizer. Please ping 2024-04-03T16:54:26.5404135Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-04-03T16:54:26.5404257Z for your use case. 2024-04-03T16:54:26.5404343Z 2024-04-03T16:54:26.5404441Z Example:: 2024-04-03T16:54:26.5404540Z 2024-04-03T16:54:26.5404712Z >>> # xdoctest: +SKIP("No rendezvous handler") 2024-04-03T16:54:26.5405170Z >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...') 2024-04-03T16:54:26.5405456Z >>> net = torch.nn.parallel.DistributedDataParallel(model, pg) 2024-04-03T16:54:26.5405573Z >>> lr = 1e-2 2024-04-03T16:54:26.5405682Z >>> betas = (0.9, 0.99) 2024-04-03T16:54:26.5405806Z >>> eps = 1e-6 2024-04-03T16:54:26.5406101Z >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps) 2024-04-03T16:54:26.5406260Z >>> # Example with subset of parameters 2024-04-03T16:54:26.5406449Z >>> params_to_opt = [list(net.parameters())[0]] 2024-04-03T16:54:26.5406575Z >>> net._register_fused_optim( 2024-04-03T16:54:26.5406892Z ... torch.optim.Adam, lr, optim_params=params_to_opt, betas=betas, eps=eps 2024-04-03T16:54:26.5406998Z ... ) 2024-04-03T16:54:26.5407083Z 2024-04-03T16:54:26.5407485Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5407570Z 2024-04-03T16:54:26.5407679Z warnings.warn(msg) 2024-04-03T16:54:26.5407776Z 2024-04-03T16:54:26.5407977Z --- Parse Warning: 70 / 87 --- 2024-04-03T16:54:26.5409448Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=5. 2024-04-03T16:54:26.5409859Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5410139Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``. 2024-04-03T16:54:26.5410225Z 2024-04-03T16:54:26.5410630Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2024-04-03T16:54:26.5411007Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2024-04-03T16:54:26.5411372Z This function is used to facilitate the computation to adopt NHWC kernels, which 2024-04-03T16:54:26.5411793Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2024-04-03T16:54:26.5411884Z 2024-04-03T16:54:26.5411991Z .. note:: 2024-04-03T16:54:26.5412306Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2024-04-03T16:54:26.5412627Z than the utility function ``convert_conv2d_weight_memory_format``. Any 2024-04-03T16:54:26.5412937Z layer with 4d weight will be affected by ``model.to``, which does not 2024-04-03T16:54:26.5413225Z necessarily benefit from conversion to specified ``memory_format``. 2024-04-03T16:54:26.5413537Z One place we are confident in is that NHWC(channels_last) conversion for 2024-04-03T16:54:26.5413841Z convolution in cuDNN, As it is beneficial to run convolution in NHWC, 2024-04-03T16:54:26.5414209Z even in cases where we have to apply permutation to input tensors. 2024-04-03T16:54:26.5414310Z 2024-04-03T16:54:26.5414652Z Hence our strategy here is to convert only the weight of convolution to 2024-04-03T16:54:26.5414831Z channels_last. This ensures that; 2024-04-03T16:54:26.5415130Z 1. Fast convolution kernels will be used, the benefit of which could 2024-04-03T16:54:26.5415434Z outweigh overhead of permutation (if input is not in the same format) 2024-04-03T16:54:26.5415745Z 2. No unnecessary permutations are applied on layers that do not benefit 2024-04-03T16:54:26.5415894Z from memory_format conversion. 2024-04-03T16:54:26.5415983Z 2024-04-03T16:54:26.5416296Z The optimal case is that, layers between convolution layers are channels 2024-04-03T16:54:26.5416625Z last compatible. Input tensor would be permuted to channels last when it 2024-04-03T16:54:26.5416927Z encounters the first convolution layer and stay in that memory format. 2024-04-03T16:54:26.5417246Z Hence following convolutions will not need to permute its input tensor. 2024-04-03T16:54:26.5417334Z 2024-04-03T16:54:26.5417642Z In case where a channels last incompatible layer is between convolution 2024-04-03T16:54:26.5417948Z layers, we need to permute the input tensor back to contiguous format 2024-04-03T16:54:26.5418260Z for that layer. The input tensor will go through the remaining layers in 2024-04-03T16:54:26.5418560Z contiguous format and be permuted to channels last when it encounters 2024-04-03T16:54:26.5418907Z another convolution layer. There's no point in propagating that 2024-04-03T16:54:26.5419204Z permutation to an earlier layer, as most layers are quite agnostic to 2024-04-03T16:54:26.5419314Z ``memory_format``. 2024-04-03T16:54:26.5419410Z 2024-04-03T16:54:26.5419725Z This claim might change when PyTorch supports fusion of permutation, as 2024-04-03T16:54:26.5420038Z there might have been a better spot to fuse the permutation other than 2024-04-03T16:54:26.5420188Z immediately before a convolution. 2024-04-03T16:54:26.5420277Z 2024-04-03T16:54:26.5420383Z Args: 2024-04-03T16:54:26.5420675Z module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container 2024-04-03T16:54:26.5420810Z ``nn.Module`` 2024-04-03T16:54:26.5421014Z memory_format: user specified ``memory_format``, 2024-04-03T16:54:26.5421259Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2024-04-03T16:54:26.5421346Z 2024-04-03T16:54:26.5421455Z Returns: 2024-04-03T16:54:26.5421680Z The original module with updated ``nn.Conv2d`` 2024-04-03T16:54:26.5421765Z 2024-04-03T16:54:26.5421873Z Example: 2024-04-03T16:54:26.5422156Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-04-03T16:54:26.5422359Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2024-04-03T16:54:26.5422700Z >>> input = torch.randint(1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda") 2024-04-03T16:54:26.5422829Z >>> model = nn.Sequential( 2024-04-03T16:54:26.5422997Z >>> nn.Conv2d(8, 4, 3)).cuda().half() 2024-04-03T16:54:26.5423123Z >>> # This is identical to: 2024-04-03T16:54:26.5423481Z >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2024-04-03T16:54:26.5423847Z >>> model = nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2024-04-03T16:54:26.5423961Z >>> out = model(input) 2024-04-03T16:54:26.5424053Z 2024-04-03T16:54:26.5424462Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5424550Z 2024-04-03T16:54:26.5424659Z warnings.warn(msg) 2024-04-03T16:54:26.5424759Z 2024-04-03T16:54:26.5424957Z --- Parse Warning: 71 / 87 --- 2024-04-03T16:54:26.5426466Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=76. 2024-04-03T16:54:26.5426920Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5427195Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format`` 2024-04-03T16:54:26.5427562Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2024-04-03T16:54:26.5427940Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2024-04-03T16:54:26.5428297Z This function is used to facilitate the computation to adopt NHWC kernels, which 2024-04-03T16:54:26.5428735Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2024-04-03T16:54:26.5428821Z 2024-04-03T16:54:26.5428922Z .. note:: 2024-04-03T16:54:26.5429249Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2024-04-03T16:54:26.5429548Z than the utility function ``convert_conv3d_weight_memory_format``. Any 2024-04-03T16:54:26.5429851Z layer with 4d weight will be affected by ``model.to``, which does not 2024-04-03T16:54:26.5430138Z necessarily benefit from conversion to specified ``memory_format``. 2024-04-03T16:54:26.5430447Z One place we are confident in is that NHWC(channels_last) conversion for 2024-04-03T16:54:26.5430751Z convolution in cuDNN, As it is beneficial to run convolution in NHWC, 2024-04-03T16:54:26.5431036Z even in cases where we have to apply permutation to input tensors. 2024-04-03T16:54:26.5431123Z 2024-04-03T16:54:26.5431444Z Hence our strategy here is to convert only the weight of convolution to 2024-04-03T16:54:26.5431592Z channels_last. This ensures that; 2024-04-03T16:54:26.5431879Z 1. Fast convolution kernels will be used, the benefit of which could 2024-04-03T16:54:26.5432191Z outweigh overhead of permutation (if input is not in the same format) 2024-04-03T16:54:26.5432505Z 2. No unnecessary permutations are applied on layers that do not benefit 2024-04-03T16:54:26.5432655Z from memory_format conversion. 2024-04-03T16:54:26.5432742Z 2024-04-03T16:54:26.5433054Z The optimal case is that, layers between convolution layers are channels 2024-04-03T16:54:26.5433378Z last compatible. Input tensor would be permuted to channels last when it 2024-04-03T16:54:26.5433721Z encounters the first convolution layer and stay in that memory format. 2024-04-03T16:54:26.5434032Z Hence following convolutions will not need to permute its input tensor. 2024-04-03T16:54:26.5434131Z 2024-04-03T16:54:26.5434437Z In case where a channels last incompatible layer is between convolution 2024-04-03T16:54:26.5434728Z layers, we need to permute the input tensor back to contiguous format 2024-04-03T16:54:26.5435052Z for that layer. The input tensor will go through the remaining layers in 2024-04-03T16:54:26.5435352Z contiguous format and be permuted to channels last when it encounters 2024-04-03T16:54:26.5435732Z another convolution layer. There's no point in propagating that 2024-04-03T16:54:26.5436029Z permutation to an earlier layer, as most layers are quite agnostic to 2024-04-03T16:54:26.5436141Z ``memory_format``. 2024-04-03T16:54:26.5436239Z 2024-04-03T16:54:26.5436553Z This claim might change when PyTorch supports fusion of permutation, as 2024-04-03T16:54:26.5436856Z there might have been a better spot to fuse the permutation other than 2024-04-03T16:54:26.5437017Z immediately before a convolution. 2024-04-03T16:54:26.5437105Z 2024-04-03T16:54:26.5437196Z Args: 2024-04-03T16:54:26.5437525Z module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container 2024-04-03T16:54:26.5437683Z ``nn.Module`` 2024-04-03T16:54:26.5437874Z memory_format: user specified ``memory_format``, 2024-04-03T16:54:26.5438131Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2024-04-03T16:54:26.5438222Z 2024-04-03T16:54:26.5438333Z Returns: 2024-04-03T16:54:26.5438522Z The original module with updated ``nn.Conv3d`` 2024-04-03T16:54:26.5438608Z 2024-04-03T16:54:26.5438716Z Example: 2024-04-03T16:54:26.5438902Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-04-03T16:54:26.5439104Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2024-04-03T16:54:26.5439447Z >>> input = torch.randint(1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda") 2024-04-03T16:54:26.5439570Z >>> model = nn.Sequential( 2024-04-03T16:54:26.5439722Z >>> nn.Conv3d(8, 4, 3)).cuda().half() 2024-04-03T16:54:26.5439861Z >>> # This is identical to: 2024-04-03T16:54:26.5440181Z >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last) 2024-04-03T16:54:26.5440534Z >>> model = nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last) 2024-04-03T16:54:26.5440661Z >>> out = model(input) 2024-04-03T16:54:26.5440752Z 2024-04-03T16:54:26.5441154Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5441241Z 2024-04-03T16:54:26.5441354Z warnings.warn(msg) 2024-04-03T16:54:26.5441456Z 2024-04-03T16:54:26.5441656Z --- Parse Warning: 72 / 87 --- 2024-04-03T16:54:26.5442986Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=random_structured in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=939. 2024-04-03T16:54:26.5443405Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5443710Z Prune tensor by removing random channels along the specified dimension. 2024-04-03T16:54:26.5443801Z 2024-04-03T16:54:26.5444113Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2024-04-03T16:54:26.5444408Z by removing the specified ``amount`` of (currently unpruned) channels 2024-04-03T16:54:26.5444600Z along the specified ``dim`` selected at random. 2024-04-03T16:54:26.5444859Z Modifies module in place (and also return the modified module) 2024-04-03T16:54:26.5444985Z by: 2024-04-03T16:54:26.5445081Z 2024-04-03T16:54:26.5445439Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-04-03T16:54:26.5445731Z binary mask applied to the parameter ``name`` by the pruning method. 2024-04-03T16:54:26.5446028Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-04-03T16:54:26.5446298Z original (unpruned) parameter is stored in a new parameter named 2024-04-03T16:54:26.5446440Z ``name+'_orig'``. 2024-04-03T16:54:26.5446538Z 2024-04-03T16:54:26.5446630Z Args: 2024-04-03T16:54:26.5446903Z module (nn.Module): module containing the tensor to prune 2024-04-03T16:54:26.5447161Z name (str): parameter name within ``module`` on which pruning 2024-04-03T16:54:26.5447267Z will act. 2024-04-03T16:54:26.5447489Z amount (int or float): quantity of parameters to prune. 2024-04-03T16:54:26.5447745Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-04-03T16:54:26.5448014Z fraction of parameters to prune. If ``int``, it represents the 2024-04-03T16:54:26.5448195Z absolute number of parameters to prune. 2024-04-03T16:54:26.5448478Z dim (int): index of the dim along which we define channels to prune. 2024-04-03T16:54:26.5448566Z 2024-04-03T16:54:26.5448702Z Returns: 2024-04-03T16:54:26.5449031Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-04-03T16:54:26.5449118Z 2024-04-03T16:54:26.5449225Z Examples: 2024-04-03T16:54:26.5449343Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.5449489Z >>> m = prune.random_structured( 2024-04-03T16:54:26.5449736Z ... nn.Linear(5, 3), 'weight', amount=3, dim=1 2024-04-03T16:54:26.5449829Z ... ) 2024-04-03T16:54:26.5450065Z >>> columns_pruned = int(sum(torch.sum(m.weight, dim=0) == 0)) 2024-04-03T16:54:26.5450204Z >>> print(columns_pruned) 2024-04-03T16:54:26.5450295Z 3 2024-04-03T16:54:26.5450385Z 2024-04-03T16:54:26.5450783Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5450869Z 2024-04-03T16:54:26.5450988Z warnings.warn(msg) 2024-04-03T16:54:26.5451074Z 2024-04-03T16:54:26.5451274Z --- Parse Warning: 73 / 87 --- 2024-04-03T16:54:26.5452599Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ln_structured in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=980. 2024-04-03T16:54:26.5453001Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5453500Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension. 2024-04-03T16:54:26.5453600Z 2024-04-03T16:54:26.5453904Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2024-04-03T16:54:26.5454287Z by removing the specified ``amount`` of (currently unpruned) channels 2024-04-03T16:54:26.5454594Z along the specified ``dim`` with the lowest L\ ``n``-norm. 2024-04-03T16:54:26.5454854Z Modifies module in place (and also return the modified module) 2024-04-03T16:54:26.5454959Z by: 2024-04-03T16:54:26.5455047Z 2024-04-03T16:54:26.5455402Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-04-03T16:54:26.5455703Z binary mask applied to the parameter ``name`` by the pruning method. 2024-04-03T16:54:26.5455991Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-04-03T16:54:26.5456261Z original (unpruned) parameter is stored in a new parameter named 2024-04-03T16:54:26.5456413Z ``name+'_orig'``. 2024-04-03T16:54:26.5456498Z 2024-04-03T16:54:26.5456630Z Args: 2024-04-03T16:54:26.5456880Z module (nn.Module): module containing the tensor to prune 2024-04-03T16:54:26.5457130Z name (str): parameter name within ``module`` on which pruning 2024-04-03T16:54:26.5457233Z will act. 2024-04-03T16:54:26.5457466Z amount (int or float): quantity of parameters to prune. 2024-04-03T16:54:26.5457708Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-04-03T16:54:26.5457979Z fraction of parameters to prune. If ``int``, it represents the 2024-04-03T16:54:26.5458160Z absolute number of parameters to prune. 2024-04-03T16:54:26.5458524Z n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid 2024-04-03T16:54:26.5458729Z entries for argument ``p`` in :func:`torch.norm`. 2024-04-03T16:54:26.5459025Z dim (int): index of the dim along which we define channels to prune. 2024-04-03T16:54:26.5459324Z importance_scores (torch.Tensor): tensor of importance scores (of same 2024-04-03T16:54:26.5459592Z shape as module parameter) used to compute mask for pruning. 2024-04-03T16:54:26.5459895Z The values in this tensor indicate the importance of the corresponding 2024-04-03T16:54:26.5460066Z elements in the parameter being pruned. 2024-04-03T16:54:26.5460417Z If unspecified or None, the module parameter will be used in its place. 2024-04-03T16:54:26.5460533Z 2024-04-03T16:54:26.5460628Z Returns: 2024-04-03T16:54:26.5460940Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-04-03T16:54:26.5461030Z 2024-04-03T16:54:26.5461129Z Examples: 2024-04-03T16:54:26.5461297Z >>> from torch.nn.utils import prune 2024-04-03T16:54:26.5461429Z >>> m = prune.ln_structured( 2024-04-03T16:54:26.5461757Z ... nn.Conv2d(5, 3, 2), 'weight', amount=0.3, dim=1, n=float('-inf') 2024-04-03T16:54:26.5461861Z ... ) 2024-04-03T16:54:26.5461952Z 2024-04-03T16:54:26.5462445Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5462545Z 2024-04-03T16:54:26.5462652Z warnings.warn(msg) 2024-04-03T16:54:26.5462738Z 2024-04-03T16:54:26.5462952Z --- Parse Warning: 74 / 87 --- 2024-04-03T16:54:26.5464320Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=global_unstructured in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1027. 2024-04-03T16:54:26.5464742Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5464830Z 2024-04-03T16:54:26.5465386Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``. 2024-04-03T16:54:26.5465488Z 2024-04-03T16:54:26.5465615Z Modifies modules in place by: 2024-04-03T16:54:26.5465700Z 2024-04-03T16:54:26.5466059Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-04-03T16:54:26.5466348Z binary mask applied to the parameter ``name`` by the pruning method. 2024-04-03T16:54:26.5466627Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-04-03T16:54:26.5466907Z original (unpruned) parameter is stored in a new parameter named 2024-04-03T16:54:26.5467042Z ``name+'_orig'``. 2024-04-03T16:54:26.5467140Z 2024-04-03T16:54:26.5467231Z Args: 2024-04-03T16:54:26.5467487Z parameters (Iterable of (module, name) tuples): parameters of 2024-04-03T16:54:26.5467769Z the model to prune in a global fashion, i.e. by aggregating all 2024-04-03T16:54:26.5468044Z weights prior to deciding which ones to prune. module must be of 2024-04-03T16:54:26.5468244Z type :class:`nn.Module`, and name must be a string. 2024-04-03T16:54:26.5468594Z pruning_method (function): a valid pruning function from this module, 2024-04-03T16:54:26.5468835Z or a custom one implemented by the user that satisfies the 2024-04-03T16:54:26.5469198Z implementation guidelines and has ``PRUNING_TYPE='unstructured'``. 2024-04-03T16:54:26.5469511Z importance_scores (dict): a dictionary mapping (module, name) tuples to 2024-04-03T16:54:26.5469863Z the corresponding parameter's importance scores tensor. The tensor 2024-04-03T16:54:26.5470173Z should be the same shape as the parameter, and is used for computing 2024-04-03T16:54:26.5470288Z mask for pruning. 2024-04-03T16:54:26.5470620Z If unspecified or None, the parameter will be used in place of its 2024-04-03T16:54:26.5470747Z importance scores. 2024-04-03T16:54:26.5470911Z kwargs: other keyword arguments such as: 2024-04-03T16:54:26.5471184Z amount (int or float): quantity of parameters to prune across the 2024-04-03T16:54:26.5471321Z specified parameters. 2024-04-03T16:54:26.5471564Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-04-03T16:54:26.5471828Z fraction of parameters to prune. If ``int``, it represents the 2024-04-03T16:54:26.5472009Z absolute number of parameters to prune. 2024-04-03T16:54:26.5472097Z 2024-04-03T16:54:26.5472192Z Raises: 2024-04-03T16:54:26.5472486Z TypeError: if ``PRUNING_TYPE != 'unstructured'`` 2024-04-03T16:54:26.5472614Z 2024-04-03T16:54:26.5472708Z Note: 2024-04-03T16:54:26.5473067Z Since global structured pruning doesn't make much sense unless the 2024-04-03T16:54:26.5473340Z norm is normalized by the size of the parameter, we now limit the 2024-04-03T16:54:26.5473549Z scope of global pruning to unstructured methods. 2024-04-03T16:54:26.5473640Z 2024-04-03T16:54:26.5473739Z Examples: 2024-04-03T16:54:26.5473900Z >>> from torch.nn.utils import prune 2024-04-03T16:54:26.5474060Z >>> from collections import OrderedDict 2024-04-03T16:54:26.5474210Z >>> net = nn.Sequential(OrderedDict([ 2024-04-03T16:54:26.5474405Z ... ('first', nn.Linear(10, 4)), 2024-04-03T16:54:26.5474583Z ... ('second', nn.Linear(4, 1)), 2024-04-03T16:54:26.5474676Z ... ])) 2024-04-03T16:54:26.5474813Z >>> parameters_to_prune = ( 2024-04-03T16:54:26.5474974Z ... (net.first, 'weight'), 2024-04-03T16:54:26.5475138Z ... (net.second, 'weight'), 2024-04-03T16:54:26.5475247Z ... ) 2024-04-03T16:54:26.5475375Z >>> prune.global_unstructured( 2024-04-03T16:54:26.5475496Z ... parameters_to_prune, 2024-04-03T16:54:26.5475678Z ... pruning_method=prune.L1Unstructured, 2024-04-03T16:54:26.5475780Z ... amount=10, 2024-04-03T16:54:26.5475870Z ... ) 2024-04-03T16:54:26.5476183Z >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0)) 2024-04-03T16:54:26.5476283Z tensor(10) 2024-04-03T16:54:26.5476380Z 2024-04-03T16:54:26.5476465Z 2024-04-03T16:54:26.5476849Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5476947Z 2024-04-03T16:54:26.5477055Z warnings.warn(msg) 2024-04-03T16:54:26.5477140Z 2024-04-03T16:54:26.5477350Z --- Parse Warning: 75 / 87 --- 2024-04-03T16:54:26.5478684Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=custom_from_mask in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1147. 2024-04-03T16:54:26.5479085Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5479720Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``. 2024-04-03T16:54:26.5479807Z 2024-04-03T16:54:26.5480119Z Modifies module in place (and also return the modified module) by: 2024-04-03T16:54:26.5480217Z 2024-04-03T16:54:26.5480567Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-04-03T16:54:26.5480870Z binary mask applied to the parameter ``name`` by the pruning method. 2024-04-03T16:54:26.5481153Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-04-03T16:54:26.5481424Z original (unpruned) parameter is stored in a new parameter named 2024-04-03T16:54:26.5481579Z ``name+'_orig'``. 2024-04-03T16:54:26.5481664Z 2024-04-03T16:54:26.5481757Z Args: 2024-04-03T16:54:26.5482038Z module (nn.Module): module containing the tensor to prune 2024-04-03T16:54:26.5482289Z name (str): parameter name within ``module`` on which pruning 2024-04-03T16:54:26.5482390Z will act. 2024-04-03T16:54:26.5482637Z mask (Tensor): binary mask to be applied to the parameter. 2024-04-03T16:54:26.5482720Z 2024-04-03T16:54:26.5482815Z Returns: 2024-04-03T16:54:26.5483120Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-04-03T16:54:26.5483205Z 2024-04-03T16:54:26.5483317Z Examples: 2024-04-03T16:54:26.5483473Z >>> from torch.nn.utils import prune 2024-04-03T16:54:26.5483609Z >>> m = prune.custom_from_mask( 2024-04-03T16:54:26.5483956Z ... nn.Linear(5, 3), name='bias', mask=torch.tensor([0, 1, 0]) 2024-04-03T16:54:26.5484084Z ... ) 2024-04-03T16:54:26.5484199Z >>> print(m.bias_mask) 2024-04-03T16:54:26.5484320Z tensor([0., 1., 0.]) 2024-04-03T16:54:26.5484407Z 2024-04-03T16:54:26.5484495Z 2024-04-03T16:54:26.5484898Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5484983Z 2024-04-03T16:54:26.5485091Z warnings.warn(msg) 2024-04-03T16:54:26.5485191Z 2024-04-03T16:54:26.5485389Z --- Parse Warning: 76 / 87 --- 2024-04-03T16:54:26.5486709Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py line=67. 2024-04-03T16:54:26.5487125Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5487411Z Implements averaged model for Stochastic Weight Averaging (SWA) and 2024-04-03T16:54:26.5487570Z Exponential Moving Average (EMA). 2024-04-03T16:54:26.5487655Z 2024-04-03T16:54:26.5487971Z Stochastic Weight Averaging was proposed in `Averaging Weights Leads to 2024-04-03T16:54:26.5488269Z Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii 2024-04-03T16:54:26.5488550Z Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson 2024-04-03T16:54:26.5488651Z (UAI 2018). 2024-04-03T16:54:26.5488749Z 2024-04-03T16:54:26.5489022Z Exponential Moving Average is a variation of `Polyak averaging`_, 2024-04-03T16:54:26.5489341Z but using exponential weights instead of equal weights across iterations. 2024-04-03T16:54:26.5489440Z 2024-04-03T16:54:26.5489753Z AveragedModel class creates a copy of the provided module :attr:`model` 2024-04-03T16:54:26.5490065Z on the device :attr:`device` and allows to compute running averages of the 2024-04-03T16:54:26.5490214Z parameters of the :attr:`model`. 2024-04-03T16:54:26.5490299Z 2024-04-03T16:54:26.5490403Z Args: 2024-04-03T16:54:26.5490616Z model (torch.nn.Module): model to use with SWA/EMA 2024-04-03T16:54:26.5490929Z device (torch.device, optional): if provided, the averaged model will be 2024-04-03T16:54:26.5491079Z stored on the :attr:`device` 2024-04-03T16:54:26.5491348Z avg_fn (function, optional): the averaging function used to update 2024-04-03T16:54:26.5491642Z parameters; the function must take in the current value of the 2024-04-03T16:54:26.5491944Z :class:`AveragedModel` parameter, the current value of :attr:`model` 2024-04-03T16:54:26.5492207Z parameter, and the number of models already averaged; if None, 2024-04-03T16:54:26.5492415Z an equally weighted average is used (default: None) 2024-04-03T16:54:26.5492726Z multi_avg_fn (function, optional): the averaging function used to update 2024-04-03T16:54:26.5493038Z parameters inplace; the function must take in the current values of the 2024-04-03T16:54:26.5493432Z :class:`AveragedModel` parameters as a list, the current values of :attr:`model` 2024-04-03T16:54:26.5493756Z parameters as a list, and the number of models already averaged; if None, 2024-04-03T16:54:26.5493967Z an equally weighted average is used (default: None) 2024-04-03T16:54:26.5494355Z use_buffers (bool): if ``True``, it will compute running averages for 2024-04-03T16:54:26.5494661Z both the parameters and the buffers of the model. (default: ``False``) 2024-04-03T16:54:26.5494749Z 2024-04-03T16:54:26.5494860Z Example: 2024-04-03T16:54:26.5495034Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:26.5495204Z >>> loader, optimizer, model, loss_fn = ... 2024-04-03T16:54:26.5495481Z >>> swa_model = torch.optim.swa_utils.AveragedModel(model) 2024-04-03T16:54:26.5495807Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, 2024-04-03T16:54:26.5495975Z >>> T_max=300) 2024-04-03T16:54:26.5496086Z >>> swa_start = 160 2024-04-03T16:54:26.5496275Z >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05) 2024-04-03T16:54:26.5496406Z >>> for i in range(300): 2024-04-03T16:54:26.5496553Z >>> for input, target in loader: 2024-04-03T16:54:26.5496696Z >>> optimizer.zero_grad() 2024-04-03T16:54:26.5496882Z >>> loss_fn(model(input), target).backward() 2024-04-03T16:54:26.5497010Z >>> optimizer.step() 2024-04-03T16:54:26.5497128Z >>> if i > swa_start: 2024-04-03T16:54:26.5497314Z >>> swa_model.update_parameters(model) 2024-04-03T16:54:26.5497457Z >>> swa_scheduler.step() 2024-04-03T16:54:26.5497557Z >>> else: 2024-04-03T16:54:26.5497693Z >>> scheduler.step() 2024-04-03T16:54:26.5497785Z >>> 2024-04-03T16:54:26.5497996Z >>> # Update bn statistics for the swa_model at the end 2024-04-03T16:54:26.5498222Z >>> torch.optim.swa_utils.update_bn(loader, swa_model) 2024-04-03T16:54:26.5498308Z 2024-04-03T16:54:26.5498731Z You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters. 2024-04-03T16:54:26.5498997Z If no averaging function is provided, the default is to compute 2024-04-03T16:54:26.5499239Z equally-weighted average of the weights (SWA). 2024-04-03T16:54:26.5499333Z 2024-04-03T16:54:26.5499429Z Example: 2024-04-03T16:54:26.5499601Z >>> # xdoctest: +SKIP("undefined variables") 2024-04-03T16:54:26.5499887Z >>> # Compute exponential moving averages of the weights and buffers 2024-04-03T16:54:26.5500118Z >>> ema_model = torch.optim.swa_utils.AveragedModel(model, 2024-04-03T16:54:26.5500410Z >>> torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True) 2024-04-03T16:54:26.5500509Z 2024-04-03T16:54:26.5500614Z .. note:: 2024-04-03T16:54:26.5500913Z When using SWA/EMA with models containing Batch Normalization you may 2024-04-03T16:54:26.5501202Z need to update the activation statistics for Batch Normalization. 2024-04-03T16:54:26.5501565Z This can be done either by using the :meth:`torch.optim.swa_utils.update_bn` 2024-04-03T16:54:26.5501893Z or by setting :attr:`use_buffers` to `True`. The first approach updates the 2024-04-03T16:54:26.5502387Z statistics in a post-training step by passing data through the model. The 2024-04-03T16:54:26.5502713Z second does it during the parameter update phase by averaging all buffers. 2024-04-03T16:54:26.5503057Z Empirical evidence has shown that updating the statistics in normalization 2024-04-03T16:54:26.5503359Z layers increases accuracy, but you may wish to empirically test which 2024-04-03T16:54:26.5503605Z approach yields the best results in your problem. 2024-04-03T16:54:26.5503706Z 2024-04-03T16:54:26.5503801Z .. note:: 2024-04-03T16:54:26.5504175Z :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model. 2024-04-03T16:54:26.5504260Z 2024-04-03T16:54:26.5504358Z .. note:: 2024-04-03T16:54:26.5504643Z When :meth:`update_parameters` is called for the first time (i.e. 2024-04-03T16:54:26.5504893Z :attr:`n_averaged` is `0`) the parameters of `model` are copied 2024-04-03T16:54:26.5505166Z to the parameters of :class:`AveragedModel`. For every subsequent 2024-04-03T16:54:26.5505433Z call of :meth:`update_parameters` the function `avg_fn` is used 2024-04-03T16:54:26.5505594Z to update the parameters. 2024-04-03T16:54:26.5505714Z 2024-04-03T16:54:26.5506019Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2024-04-03T16:54:26.5506168Z https://arxiv.org/abs/1803.05407 2024-04-03T16:54:26.5506492Z .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should 2024-04-03T16:54:26.5506599Z Average: 2024-04-03T16:54:26.5506745Z https://arxiv.org/abs/1806.05594 2024-04-03T16:54:26.5507087Z .. _SWALP: Stochastic Weight Averaging in Low-Precision Training: 2024-04-03T16:54:26.5507236Z https://arxiv.org/abs/1904.11943 2024-04-03T16:54:26.5507590Z .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That 2024-04-03T16:54:26.5507713Z Generalizes Well: 2024-04-03T16:54:26.5507855Z https://arxiv.org/abs/2001.02312 2024-04-03T16:54:26.5507965Z .. _Polyak averaging: 2024-04-03T16:54:26.5508251Z https://paperswithcode.com/method/polyak-averaging 2024-04-03T16:54:26.5508343Z 2024-04-03T16:54:26.5508729Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5508833Z 2024-04-03T16:54:26.5508946Z warnings.warn(msg) 2024-04-03T16:54:26.5509034Z 2024-04-03T16:54:26.5509249Z --- Parse Warning: 77 / 87 --- 2024-04-03T16:54:26.5510534Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py line=280. 2024-04-03T16:54:26.5510953Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5511236Z Anneals the learning rate in each parameter group to a fixed value. 2024-04-03T16:54:26.5511325Z 2024-04-03T16:54:26.5511644Z This learning rate scheduler is meant to be used with Stochastic Weight 2024-04-03T16:54:26.5511931Z Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`). 2024-04-03T16:54:26.5512023Z 2024-04-03T16:54:26.5512128Z Args: 2024-04-03T16:54:26.5512353Z optimizer (torch.optim.Optimizer): wrapped optimizer 2024-04-03T16:54:26.5512641Z swa_lrs (float or list): the learning rate value for all param groups 2024-04-03T16:54:26.5512826Z together or separately for each group. 2024-04-03T16:54:26.5513090Z annealing_epochs (int): number of epochs in the annealing phase 2024-04-03T16:54:26.5513241Z (default: 10) 2024-04-03T16:54:26.5513537Z annealing_strategy (str): "cos" or "linear"; specifies the annealing 2024-04-03T16:54:26.5513815Z strategy: "cos" for cosine annealing, "linear" for linear annealing 2024-04-03T16:54:26.5513939Z (default: "cos") 2024-04-03T16:54:26.5514242Z last_epoch (int): the index of the last epoch (default: -1) 2024-04-03T16:54:26.5514333Z 2024-04-03T16:54:26.5514587Z The :class:`SWALR` scheduler can be used together with other 2024-04-03T16:54:26.5514881Z schedulers to switch to a constant learning rate late in the training 2024-04-03T16:54:26.5515030Z as in the example below. 2024-04-03T16:54:26.5515130Z 2024-04-03T16:54:26.5515230Z Example: 2024-04-03T16:54:26.5515404Z >>> # xdoctest: +SKIP("Undefined variables") 2024-04-03T16:54:26.5515570Z >>> loader, optimizer, model = ... 2024-04-03T16:54:26.5515714Z >>> lr_lambda = lambda epoch: 0.9 2024-04-03T16:54:26.5516006Z >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer, 2024-04-03T16:54:26.5516147Z >>> lr_lambda=lr_lambda) 2024-04-03T16:54:26.5516374Z >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, 2024-04-03T16:54:26.5516605Z >>> anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05) 2024-04-03T16:54:26.5516756Z >>> swa_start = 160 2024-04-03T16:54:26.5516903Z >>> for i in range(300): 2024-04-03T16:54:26.5517059Z >>> for input, target in loader: 2024-04-03T16:54:26.5517203Z >>> optimizer.zero_grad() 2024-04-03T16:54:26.5517384Z >>> loss_fn(model(input), target).backward() 2024-04-03T16:54:26.5517525Z >>> optimizer.step() 2024-04-03T16:54:26.5517642Z >>> if i > swa_start: 2024-04-03T16:54:26.5517781Z >>> swa_scheduler.step() 2024-04-03T16:54:26.5517892Z >>> else: 2024-04-03T16:54:26.5518019Z >>> scheduler.step() 2024-04-03T16:54:26.5518107Z 2024-04-03T16:54:26.5518410Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2024-04-03T16:54:26.5518553Z https://arxiv.org/abs/1803.05407 2024-04-03T16:54:26.5518644Z 2024-04-03T16:54:26.5519044Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5519133Z 2024-04-03T16:54:26.5519242Z warnings.warn(msg) 2024-04-03T16:54:26.5519338Z 2024-04-03T16:54:26.5519536Z --- Parse Warning: 78 / 87 --- 2024-04-03T16:54:26.5520900Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_close in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_comparison.py line=1267. 2024-04-03T16:54:26.5521302Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5521495Z Asserts that ``actual`` and ``expected`` are close. 2024-04-03T16:54:26.5521593Z 2024-04-03T16:54:26.5522185Z If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if 2024-04-03T16:54:26.5522271Z 2024-04-03T16:54:26.5522381Z .. math:: 2024-04-03T16:54:26.5522465Z 2024-04-03T16:54:26.5523095Z \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert 2024-04-03T16:54:26.5523195Z 2024-04-03T16:54:26.5523765Z Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are 2024-04-03T16:54:26.5524044Z only considered equal to each other if ``equal_nan`` is ``True``. 2024-04-03T16:54:26.5524128Z 2024-04-03T16:54:26.5524397Z In addition, they are only considered close if they have the same 2024-04-03T16:54:26.5524531Z 2024-04-03T16:54:26.5524841Z - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``), 2024-04-03T16:54:26.5525052Z - ``dtype`` (if ``check_dtype`` is ``True``), 2024-04-03T16:54:26.5525295Z - ``layout`` (if ``check_layout`` is ``True``), and 2024-04-03T16:54:26.5525497Z - stride (if ``check_stride`` is ``True``). 2024-04-03T16:54:26.5525583Z 2024-04-03T16:54:26.5526018Z If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed. 2024-04-03T16:54:26.5526106Z 2024-04-03T16:54:26.5526664Z If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are 2024-04-03T16:54:26.5527171Z checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR, 2024-04-03T16:54:26.5527482Z or ``ccol_indices`` and ``row_indices`` for CSC and BSC layouts, respectively, 2024-04-03T16:54:26.5528014Z are always checked for equality whereas the values are checked for closeness according to the definition above. 2024-04-03T16:54:26.5528102Z 2024-04-03T16:54:26.5528488Z If ``actual`` and ``expected`` are quantized, they are considered close if they have the same 2024-04-03T16:54:26.5528986Z :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the 2024-04-03T16:54:26.5529127Z definition above. 2024-04-03T16:54:26.5529242Z 2024-04-03T16:54:26.5529759Z ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which 2024-04-03T16:54:26.5530368Z :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types 2024-04-03T16:54:26.5530928Z have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s 2024-04-03T16:54:26.5531543Z or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all 2024-04-03T16:54:26.5531845Z their elements are considered close according to the above definition. 2024-04-03T16:54:26.5531944Z 2024-04-03T16:54:26.5532039Z .. note:: 2024-04-03T16:54:26.5532124Z 2024-04-03T16:54:26.5532593Z Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e. 2024-04-03T16:54:26.5533135Z :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus, 2024-04-03T16:54:26.5533515Z Python scalars of different types can be checked, but require ``check_dtype=False``. 2024-04-03T16:54:26.5533613Z 2024-04-03T16:54:26.5533704Z Args: 2024-04-03T16:54:26.5533843Z actual (Any): Actual input. 2024-04-03T16:54:26.5533986Z expected (Any): Expected input. 2024-04-03T16:54:26.5534557Z allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types 2024-04-03T16:54:26.5534787Z are allowed. Otherwise type equality is required. 2024-04-03T16:54:26.5535272Z rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default 2024-04-03T16:54:26.5535637Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2024-04-03T16:54:26.5536132Z atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default 2024-04-03T16:54:26.5536504Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2024-04-03T16:54:26.5536867Z equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal. 2024-04-03T16:54:26.5537263Z check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same 2024-04-03T16:54:26.5537599Z :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different 2024-04-03T16:54:26.5538043Z :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared. 2024-04-03T16:54:26.5538518Z check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this 2024-04-03T16:54:26.5539078Z check is disabled, tensors with different ``dtype``'s are promoted to a common ``dtype`` (according to 2024-04-03T16:54:26.5539306Z :func:`torch.promote_types`) before being compared. 2024-04-03T16:54:26.5539816Z check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this 2024-04-03T16:54:26.5540367Z check is disabled, tensors with different ``layout``'s are converted to strided tensors before being 2024-04-03T16:54:26.5540470Z compared. 2024-04-03T16:54:26.5540964Z check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride. 2024-04-03T16:54:26.5541463Z msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during 2024-04-03T16:54:26.5541960Z the comparison. Can also passed as callable in which case it will be called with the generated message and 2024-04-03T16:54:26.5542207Z should return the new message. 2024-04-03T16:54:26.5542357Z 2024-04-03T16:54:26.5542491Z Raises: 2024-04-03T16:54:26.5542820Z ValueError: If no :class:`torch.Tensor` can be constructed from an input. 2024-04-03T16:54:26.5543039Z ValueError: If only ``rtol`` or ``atol`` is specified. 2024-04-03T16:54:26.5543464Z AssertionError: If corresponding inputs are not Python scalars and are not directly related. 2024-04-03T16:54:26.5543959Z AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have 2024-04-03T16:54:26.5544076Z different types. 2024-04-03T16:54:26.5544653Z AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match. 2024-04-03T16:54:26.5545247Z AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match. 2024-04-03T16:54:26.5545658Z AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`. 2024-04-03T16:54:26.5546076Z AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same 2024-04-03T16:54:26.5546226Z :attr:`~torch.Tensor.layout`. 2024-04-03T16:54:26.5546513Z AssertionError: If only one of corresponding tensors is quantized. 2024-04-03T16:54:26.5547114Z AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s. 2024-04-03T16:54:26.5547510Z AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same 2024-04-03T16:54:26.5547656Z :attr:`~torch.Tensor.device`. 2024-04-03T16:54:26.5548115Z AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``. 2024-04-03T16:54:26.5548594Z AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride. 2024-04-03T16:54:26.5549082Z AssertionError: If the values of corresponding tensors are not close according to the definition above. 2024-04-03T16:54:26.5549171Z 2024-04-03T16:54:26.5549758Z The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching 2024-04-03T16:54:26.5550021Z ``dtype``'s, the maximum of both tolerances is used. 2024-04-03T16:54:26.5550107Z 2024-04-03T16:54:26.5550317Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5550541Z | ``dtype`` | ``rtol`` | ``atol`` | 2024-04-03T16:54:26.5550685Z +===========================+============+==========+ 2024-04-03T16:54:26.5550926Z | :attr:`~torch.float16` | ``1e-3`` | ``1e-5`` | 2024-04-03T16:54:26.5551139Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5551377Z | :attr:`~torch.bfloat16` | ``1.6e-2`` | ``1e-5`` | 2024-04-03T16:54:26.5551596Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5551833Z | :attr:`~torch.float32` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:26.5552032Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5552314Z | :attr:`~torch.float64` | ``1e-7`` | ``1e-7`` | 2024-04-03T16:54:26.5552513Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5552753Z | :attr:`~torch.complex32` | ``1e-3`` | ``1e-5`` | 2024-04-03T16:54:26.5552962Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5553202Z | :attr:`~torch.complex64` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:26.5553408Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5553658Z | :attr:`~torch.complex128` | ``1e-7`` | ``1e-7`` | 2024-04-03T16:54:26.5553858Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5554134Z | :attr:`~torch.quint8` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:26.5554362Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5554600Z | :attr:`~torch.quint2x4` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:26.5554815Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5555048Z | :attr:`~torch.quint4x2` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:26.5555248Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5555491Z | :attr:`~torch.qint8` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:26.5555694Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5555924Z | :attr:`~torch.qint32` | ``1.3e-6`` | ``1e-5`` | 2024-04-03T16:54:26.5556132Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5556301Z | other | ``0.0`` | ``0.0`` | 2024-04-03T16:54:26.5556515Z +---------------------------+------------+----------+ 2024-04-03T16:54:26.5556607Z 2024-04-03T16:54:26.5556709Z .. note:: 2024-04-03T16:54:26.5556807Z 2024-04-03T16:54:26.5557316Z :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged 2024-04-03T16:54:26.5557824Z to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might 2024-04-03T16:54:26.5558192Z define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default: 2024-04-03T16:54:26.5558279Z 2024-04-03T16:54:26.5558394Z >>> import functools 2024-04-03T16:54:26.5558746Z >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2024-04-03T16:54:26.5558916Z >>> assert_equal(1e-9, 1e-10) 2024-04-03T16:54:26.5559068Z Traceback (most recent call last): 2024-04-03T16:54:26.5559169Z ... 2024-04-03T16:54:26.5559333Z AssertionError: Scalars are not equal! 2024-04-03T16:54:26.5559435Z 2024-04-03T16:54:26.5559620Z Expected 1e-10 but got 1e-09. 2024-04-03T16:54:26.5559836Z Absolute difference: 9.000000000000001e-10 2024-04-03T16:54:26.5559971Z Relative difference: 9.0 2024-04-03T16:54:26.5560061Z 2024-04-03T16:54:26.5560160Z Examples: 2024-04-03T16:54:26.5560317Z >>> # tensor to tensor comparison 2024-04-03T16:54:26.5560549Z >>> expected = torch.tensor([1e0, 1e-1, 1e-2]) 2024-04-03T16:54:26.5560772Z >>> actual = torch.acos(torch.cos(expected)) 2024-04-03T16:54:26.5560974Z >>> torch.testing.assert_close(actual, expected) 2024-04-03T16:54:26.5561062Z 2024-04-03T16:54:26.5561208Z >>> # scalar to scalar comparison 2024-04-03T16:54:26.5561327Z >>> import math 2024-04-03T16:54:26.5561461Z >>> expected = math.sqrt(2.0) 2024-04-03T16:54:26.5561603Z >>> actual = 2.0 / math.sqrt(2.0) 2024-04-03T16:54:26.5561808Z >>> torch.testing.assert_close(actual, expected) 2024-04-03T16:54:26.5561896Z 2024-04-03T16:54:26.5562067Z >>> # numpy array to numpy array comparison 2024-04-03T16:54:26.5562225Z >>> import numpy as np 2024-04-03T16:54:26.5562441Z >>> expected = np.array([1e0, 1e-1, 1e-2]) 2024-04-03T16:54:26.5562616Z >>> actual = np.arccos(np.cos(expected)) 2024-04-03T16:54:26.5562802Z >>> torch.testing.assert_close(actual, expected) 2024-04-03T16:54:26.5562894Z 2024-04-03T16:54:26.5563065Z >>> # sequence to sequence comparison 2024-04-03T16:54:26.5563184Z >>> import numpy as np 2024-04-03T16:54:26.5563544Z >>> # The types of the sequences do not have to match. They only have to have the same 2024-04-03T16:54:26.5563736Z >>> # length and their elements have to match. 2024-04-03T16:54:26.5563978Z >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2024-04-03T16:54:26.5564142Z >>> actual = tuple(expected) 2024-04-03T16:54:26.5564343Z >>> torch.testing.assert_close(actual, expected) 2024-04-03T16:54:26.5564431Z 2024-04-03T16:54:26.5564588Z >>> # mapping to mapping comparison 2024-04-03T16:54:26.5564762Z >>> from collections import OrderedDict 2024-04-03T16:54:26.5564876Z >>> import numpy as np 2024-04-03T16:54:26.5565006Z >>> foo = torch.tensor(1.0) 2024-04-03T16:54:26.5565124Z >>> bar = 2.0 2024-04-03T16:54:26.5565242Z >>> baz = np.array(3.0) 2024-04-03T16:54:26.5565612Z >>> # The types and a possible ordering of mappings do not have to match. They only 2024-04-03T16:54:26.5565902Z >>> # have to have the same set of keys and their elements have to match. 2024-04-03T16:54:26.5566174Z >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2024-04-03T16:54:26.5566366Z >>> actual = {"baz": baz, "bar": bar, "foo": foo} 2024-04-03T16:54:26.5566559Z >>> torch.testing.assert_close(actual, expected) 2024-04-03T16:54:26.5566643Z 2024-04-03T16:54:26.5566822Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2024-04-03T16:54:26.5566960Z >>> actual = expected.clone() 2024-04-03T16:54:26.5567195Z >>> # By default, directly related instances can be compared 2024-04-03T16:54:26.5567491Z >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2024-04-03T16:54:26.5567754Z >>> # This check can be made more strict with allow_subclasses=False 2024-04-03T16:54:26.5567913Z >>> torch.testing.assert_close( 2024-04-03T16:54:26.5568179Z ... torch.nn.Parameter(actual), expected, allow_subclasses=False 2024-04-03T16:54:26.5568274Z ... ) 2024-04-03T16:54:26.5568434Z Traceback (most recent call last): 2024-04-03T16:54:26.5568525Z ... 2024-04-03T16:54:26.5568792Z TypeError: No comparison pair was able to handle inputs of type 2024-04-03T16:54:26.5569159Z and . 2024-04-03T16:54:26.5569472Z >>> # If the inputs are not directly related, they are never considered close 2024-04-03T16:54:26.5569698Z >>> torch.testing.assert_close(actual.numpy(), expected) 2024-04-03T16:54:26.5569858Z Traceback (most recent call last): 2024-04-03T16:54:26.5569948Z ... 2024-04-03T16:54:26.5570422Z TypeError: No comparison pair was able to handle inputs of type 2024-04-03T16:54:26.5570635Z and . 2024-04-03T16:54:26.5570995Z >>> # Exceptions to these rules are Python scalars. They can be checked regardless of 2024-04-03T16:54:26.5571159Z >>> # their type if check_dtype=False. 2024-04-03T16:54:26.5571380Z >>> torch.testing.assert_close(1.0, 1, check_dtype=False) 2024-04-03T16:54:26.5571468Z 2024-04-03T16:54:26.5571609Z >>> # NaN != NaN by default. 2024-04-03T16:54:26.5571773Z >>> expected = torch.tensor(float("Nan")) 2024-04-03T16:54:26.5571933Z >>> actual = expected.clone() 2024-04-03T16:54:26.5572137Z >>> torch.testing.assert_close(actual, expected) 2024-04-03T16:54:26.5572286Z Traceback (most recent call last): 2024-04-03T16:54:26.5572378Z ... 2024-04-03T16:54:26.5572549Z AssertionError: Scalars are not close! 2024-04-03T16:54:26.5572652Z 2024-04-03T16:54:26.5572779Z Expected nan but got nan. 2024-04-03T16:54:26.5573030Z Absolute difference: nan (up to 1e-05 allowed) 2024-04-03T16:54:26.5573274Z Relative difference: nan (up to 1.3e-06 allowed) 2024-04-03T16:54:26.5573547Z >>> torch.testing.assert_close(actual, expected, equal_nan=True) 2024-04-03T16:54:26.5573631Z 2024-04-03T16:54:26.5573824Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2024-04-03T16:54:26.5574117Z >>> actual = torch.tensor([1.0, 4.0, 5.0]) 2024-04-03T16:54:26.5574317Z >>> # The default error message can be overwritten. 2024-04-03T16:54:26.5574698Z >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!") 2024-04-03T16:54:26.5574863Z Traceback (most recent call last): 2024-04-03T16:54:26.5574956Z ... 2024-04-03T16:54:26.5575156Z AssertionError: Argh, the tensors are not close! 2024-04-03T16:54:26.5575502Z >>> # If msg is a callable, it can be used to augment the generated message with 2024-04-03T16:54:26.5575620Z >>> # extra information 2024-04-03T16:54:26.5575761Z >>> torch.testing.assert_close( 2024-04-03T16:54:26.5576037Z ... actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter" 2024-04-03T16:54:26.5576133Z ... ) 2024-04-03T16:54:26.5576299Z Traceback (most recent call last): 2024-04-03T16:54:26.5576392Z ... 2024-04-03T16:54:26.5576513Z AssertionError: Header 2024-04-03T16:54:26.5576626Z 2024-04-03T16:54:26.5576798Z Tensor-likes are not close! 2024-04-03T16:54:26.5576899Z 2024-04-03T16:54:26.5577056Z Mismatched elements: 2 / 3 (66.7%) 2024-04-03T16:54:26.5577420Z Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed) 2024-04-03T16:54:26.5577788Z Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed) 2024-04-03T16:54:26.5577899Z 2024-04-03T16:54:26.5577992Z Footer 2024-04-03T16:54:26.5578081Z 2024-04-03T16:54:26.5578479Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5578563Z 2024-04-03T16:54:26.5578676Z warnings.warn(msg) 2024-04-03T16:54:26.5578771Z 2024-04-03T16:54:26.5578971Z --- Parse Warning: 79 / 87 --- 2024-04-03T16:54:26.5580347Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_pytree_node in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=114. 2024-04-03T16:54:26.5580760Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5580984Z Register a container-like type as pytree node. 2024-04-03T16:54:26.5581080Z 2024-04-03T16:54:26.5581209Z Args: 2024-04-03T16:54:26.5581467Z cls (type): A Python type to treat as an internal pytree node. 2024-04-03T16:54:26.5581846Z flatten_fn (callable): A function to be used during flattening, taking an instance of 2024-04-03T16:54:26.5582319Z ``cls`` and returning a pair, with (1) an iterable for the children to be flattened 2024-04-03T16:54:26.5582717Z recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be 2024-04-03T16:54:26.5582880Z passed to the ``unflatten_fn``. 2024-04-03T16:54:26.5583249Z unflatten_fn (callable): A function taking two arguments: the auxiliary data that was 2024-04-03T16:54:26.5583677Z returned by ``flatten_fn`` and stored in the treespec, and the unflattened children. 2024-04-03T16:54:26.5583886Z The function should return an instance of ``cls``. 2024-04-03T16:54:26.5584240Z serialized_type_name (str, optional): A keyword argument used to specify the fully 2024-04-03T16:54:26.5584472Z qualified name used when serializing the tree spec. 2024-04-03T16:54:26.5584874Z to_dumpable_context (callable, optional): An optional keyword argument to custom specify how 2024-04-03T16:54:26.5585264Z to convert the context of the pytree to a custom json dumpable representation. This is 2024-04-03T16:54:26.5585673Z used for json serialization, which is being used in :mod:`torch.export` right now. 2024-04-03T16:54:26.5586100Z from_dumpable_context (callable, optional): An optional keyword argument to custom specify 2024-04-03T16:54:26.5586481Z how to convert the custom json dumpable representation of the context back to the 2024-04-03T16:54:26.5586834Z original context. This is used for json deserialization, which is being used in 2024-04-03T16:54:26.5586978Z :mod:`torch.export` right now. 2024-04-03T16:54:26.5587077Z 2024-04-03T16:54:26.5587183Z Example:: 2024-04-03T16:54:26.5587267Z 2024-04-03T16:54:26.5587398Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.5587588Z >>> # Registry a Python type with lambda functions 2024-04-03T16:54:26.5587710Z >>> register_pytree_node( 2024-04-03T16:54:26.5587820Z ... set, 2024-04-03T16:54:26.5587984Z ... lambda s: (sorted(s), None, None), 2024-04-03T16:54:26.5588147Z ... lambda children, _: set(children), 2024-04-03T16:54:26.5588252Z ... ) 2024-04-03T16:54:26.5588340Z 2024-04-03T16:54:26.5588736Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5588834Z 2024-04-03T16:54:26.5588940Z warnings.warn(msg) 2024-04-03T16:54:26.5589025Z 2024-04-03T16:54:26.5589236Z --- Parse Warning: 80 / 87 --- 2024-04-03T16:54:26.5590713Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_pt2_selective_checkpoint_context_fn_gen in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1257. 2024-04-03T16:54:26.5591127Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5591213Z 2024-04-03T16:54:26.5591536Z A helper function that generates a pair of contexts to be later passed into 2024-04-03T16:54:26.5591833Z `torch.utils.checkpoint` API to implment selective checkpointing. 2024-04-03T16:54:26.5591920Z 2024-04-03T16:54:26.5592021Z .. warning:: 2024-04-03T16:54:26.5592297Z This is context_fn is intended for use with torch.compile only. 2024-04-03T16:54:26.5592384Z 2024-04-03T16:54:26.5592471Z Args: 2024-04-03T16:54:26.5592825Z policy_fn (Callable[[Callable, List[Any], Dict[str, Any]], bool]): Policy function 2024-04-03T16:54:26.5593178Z to decide whether a particular op should be recomputed in backward pass or not. 2024-04-03T16:54:26.5593331Z In eager mode: 2024-04-03T16:54:26.5593638Z If policy_fn(...) returns True, the op is guaranteed to NOT be recomputed. 2024-04-03T16:54:26.5593927Z If policy_fn(...) returns False, the op is guaranteed to be recomputed. 2024-04-03T16:54:26.5594059Z In torch.compile mode: 2024-04-03T16:54:26.5594365Z If policy_fn(...) returns True, the op is guaranteed to NOT be recomputed. 2024-04-03T16:54:26.5594646Z If policy_fn(...) returns False, the op may or may not be recomputed 2024-04-03T16:54:26.5594876Z (it's up to the partitioner to decide). 2024-04-03T16:54:26.5594962Z 2024-04-03T16:54:26.5595088Z Returns: 2024-04-03T16:54:26.5595230Z A pair of generated contexts. 2024-04-03T16:54:26.5595315Z 2024-04-03T16:54:26.5595406Z Example: 2024-04-03T16:54:26.5595552Z >>> # xdoctest: +REQUIRES(LINUX) 2024-04-03T16:54:26.5595642Z >>> 2024-04-03T16:54:26.5595765Z >>> def get_custom_policy(): 2024-04-03T16:54:26.5595899Z >>> no_recompute_list = [ 2024-04-03T16:54:26.5596051Z >>> torch.ops.aten.mm.default, 2024-04-03T16:54:26.5596155Z >>> ] 2024-04-03T16:54:26.5596349Z >>> def custom_policy(mode, func, *args, **kwargs): 2024-04-03T16:54:26.5596509Z >>> return func in no_recompute_list 2024-04-03T16:54:26.5596668Z >>> return custom_policy 2024-04-03T16:54:26.5596783Z >>> 2024-04-03T16:54:26.5596955Z >>> def selective_checkpointing_context_fn(): 2024-04-03T16:54:26.5597248Z >>> return _pt2_selective_checkpoint_context_fn_gen(get_custom_policy()) 2024-04-03T16:54:26.5597338Z >>> 2024-04-03T16:54:26.5597441Z >>> def gn(x, y): 2024-04-03T16:54:26.5597710Z >>> return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y 2024-04-03T16:54:26.5597802Z >>> 2024-04-03T16:54:26.5597905Z >>> def fn(x, y): 2024-04-03T16:54:26.5598112Z >>> return torch.utils.checkpoint.checkpoint( 2024-04-03T16:54:26.5598215Z >>> gn, x, y, 2024-04-03T16:54:26.5598340Z >>> use_reentrant=False, 2024-04-03T16:54:26.5598548Z >>> context_fn=selective_checkpointing_context_fn, 2024-04-03T16:54:26.5598640Z >>> ) 2024-04-03T16:54:26.5598742Z >>> 2024-04-03T16:54:26.5598907Z >>> x = torch.randn(4, 4, requires_grad=True) 2024-04-03T16:54:26.5599074Z >>> y = torch.randn(4, 4, requires_grad=True) 2024-04-03T16:54:26.5599180Z >>> 2024-04-03T16:54:26.5599322Z >>> compiled_fn = torch.compile(fn) 2024-04-03T16:54:26.5599411Z 2024-04-03T16:54:26.5599812Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5599901Z 2024-04-03T16:54:26.5600011Z warnings.warn(msg) 2024-04-03T16:54:26.5600110Z 2024-04-03T16:54:26.5600311Z --- Parse Warning: 81 / 87 --- 2024-04-03T16:54:26.5601664Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=927. 2024-04-03T16:54:26.5602083Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5602170Z 2024-04-03T16:54:26.5602359Z Create a :class:`setuptools.Extension` for C++. 2024-04-03T16:54:26.5602460Z 2024-04-03T16:54:26.5602772Z Convenience method that creates a :class:`setuptools.Extension` with the 2024-04-03T16:54:26.5603083Z bare minimum (but often sufficient) arguments to build a C++ extension. 2024-04-03T16:54:26.5603171Z 2024-04-03T16:54:26.5603441Z All arguments are forwarded to the :class:`setuptools.Extension` 2024-04-03T16:54:26.5603643Z constructor. Full list arguments can be found at 2024-04-03T16:54:26.5604139Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2024-04-03T16:54:26.5604268Z 2024-04-03T16:54:26.5604379Z Example: 2024-04-03T16:54:26.5604498Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.5604695Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-04-03T16:54:26.5604847Z >>> from setuptools import setup 2024-04-03T16:54:26.5605136Z >>> from torch.utils.cpp_extension import BuildExtension, CppExtension 2024-04-03T16:54:26.5605237Z >>> setup( 2024-04-03T16:54:26.5605402Z ... name='extension', 2024-04-03T16:54:26.5605509Z ... ext_modules=[ 2024-04-03T16:54:26.5605624Z ... CppExtension( 2024-04-03T16:54:26.5605837Z ... name='extension', 2024-04-03T16:54:26.5606042Z ... sources=['extension.cpp'], 2024-04-03T16:54:26.5606249Z ... extra_compile_args=['-g'], 2024-04-03T16:54:26.5606512Z ... extra_link_flags=['-Wl,--no-as-needed', '-lm']) 2024-04-03T16:54:26.5606609Z ... ], 2024-04-03T16:54:26.5606728Z ... cmdclass={ 2024-04-03T16:54:26.5606915Z ... 'build_ext': BuildExtension 2024-04-03T16:54:26.5607009Z ... }) 2024-04-03T16:54:26.5607108Z 2024-04-03T16:54:26.5607493Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5607580Z 2024-04-03T16:54:26.5607704Z warnings.warn(msg) 2024-04-03T16:54:26.5607819Z 2024-04-03T16:54:26.5608047Z --- Parse Warning: 82 / 87 --- 2024-04-03T16:54:26.5609413Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=975. 2024-04-03T16:54:26.5609813Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5609911Z 2024-04-03T16:54:26.5610121Z Create a :class:`setuptools.Extension` for CUDA/C++. 2024-04-03T16:54:26.5610208Z 2024-04-03T16:54:26.5610529Z Convenience method that creates a :class:`setuptools.Extension` with the 2024-04-03T16:54:26.5610794Z bare minimum (but often sufficient) arguments to build a CUDA/C++ 2024-04-03T16:54:26.5611099Z extension. This includes the CUDA include path, library path and runtime 2024-04-03T16:54:26.5611202Z library. 2024-04-03T16:54:26.5611287Z 2024-04-03T16:54:26.5611555Z All arguments are forwarded to the :class:`setuptools.Extension` 2024-04-03T16:54:26.5611755Z constructor. Full list arguments can be found at 2024-04-03T16:54:26.5612247Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2024-04-03T16:54:26.5612335Z 2024-04-03T16:54:26.5612442Z Example: 2024-04-03T16:54:26.5612554Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.5612747Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-04-03T16:54:26.5612893Z >>> from setuptools import setup 2024-04-03T16:54:26.5613192Z >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension 2024-04-03T16:54:26.5613288Z >>> setup( 2024-04-03T16:54:26.5613462Z ... name='cuda_extension', 2024-04-03T16:54:26.5613567Z ... ext_modules=[ 2024-04-03T16:54:26.5613694Z ... CUDAExtension( 2024-04-03T16:54:26.5613887Z ... name='cuda_extension', 2024-04-03T16:54:26.5614275Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-04-03T16:54:26.5614519Z ... extra_compile_args={'cxx': ['-g'], 2024-04-03T16:54:26.5614742Z ... 'nvcc': ['-O2']}, 2024-04-03T16:54:26.5615018Z ... extra_link_flags=['-Wl,--no-as-needed', '-lcuda']) 2024-04-03T16:54:26.5615125Z ... ], 2024-04-03T16:54:26.5615230Z ... cmdclass={ 2024-04-03T16:54:26.5615417Z ... 'build_ext': BuildExtension 2024-04-03T16:54:26.5615558Z ... }) 2024-04-03T16:54:26.5615646Z 2024-04-03T16:54:26.5615763Z Compute capabilities: 2024-04-03T16:54:26.5615858Z 2024-04-03T16:54:26.5616280Z By default the extension will be compiled to run on all archs of the cards visible during the 2024-04-03T16:54:26.5616680Z building process of the extension, plus PTX. If down the road a new card is installed the 2024-04-03T16:54:26.5617138Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's 2024-04-03T16:54:26.5617629Z newer than the newest version for which your nvcc can build fully-compiled binaries, Pytorch 2024-04-03T16:54:26.5618071Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does 2024-04-03T16:54:26.5618223Z support (see below for details on PTX). 2024-04-03T16:54:26.5618310Z 2024-04-03T16:54:26.5618739Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which 2024-04-03T16:54:26.5618885Z CCs you want the extension to support: 2024-04-03T16:54:26.5618970Z 2024-04-03T16:54:26.5619218Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py`` 2024-04-03T16:54:26.5619564Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py`` 2024-04-03T16:54:26.5619652Z 2024-04-03T16:54:26.5620122Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified 2024-04-03T16:54:26.5620648Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >= 2024-04-03T16:54:26.5621159Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with 2024-04-03T16:54:26.5621644Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to 2024-04-03T16:54:26.5622241Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on 2024-04-03T16:54:26.5622736Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better 2024-04-03T16:54:26.5623171Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6, 2024-04-03T16:54:26.5623687Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but 2024-04-03T16:54:26.5623815Z "8.0 8.6" would be better. 2024-04-03T16:54:26.5623900Z 2024-04-03T16:54:26.5624404Z Note that while it's possible to include all supported archs, the more archs get included the 2024-04-03T16:54:26.5624815Z slower the building process will be, as it will build a separate kernel image for each arch. 2024-04-03T16:54:26.5624903Z 2024-04-03T16:54:26.5625455Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows. 2024-04-03T16:54:26.5625741Z To workaround the issue, move python binding logic to pure C++ file. 2024-04-03T16:54:26.5625828Z 2024-04-03T16:54:26.5625942Z Example use: 2024-04-03T16:54:26.5626052Z #include 2024-04-03T16:54:26.5626254Z at::Tensor SigmoidAlphaBlendForwardCuda(....) 2024-04-03T16:54:26.5626351Z 2024-04-03T16:54:26.5626446Z Instead of: 2024-04-03T16:54:26.5626571Z #include 2024-04-03T16:54:26.5626782Z torch::Tensor SigmoidAlphaBlendForwardCuda(...) 2024-04-03T16:54:26.5626866Z 2024-04-03T16:54:26.5627245Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460 2024-04-03T16:54:26.5627901Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48 2024-04-03T16:54:26.5627985Z 2024-04-03T16:54:26.5628124Z Relocatable device code linking: 2024-04-03T16:54:26.5628208Z 2024-04-03T16:54:26.5628587Z If you want to reference device symbols across compilation units (across object files), 2024-04-03T16:54:26.5629031Z the object files need to be built with `relocatable device code` (-rdc=true or -dc). 2024-04-03T16:54:26.5629585Z An exception to this rule is "dynamic parallelism" (nested kernel launches) which is not used a lot anymore. 2024-04-03T16:54:26.5630043Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it. 2024-04-03T16:54:26.5630570Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step 2024-04-03T16:54:26.5630852Z help reduce the protentional perf degradation of `-rdc`. 2024-04-03T16:54:26.5631090Z Note that it needs to be used at both steps to be useful. 2024-04-03T16:54:26.5631177Z 2024-04-03T16:54:26.5631832Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step. 2024-04-03T16:54:26.5632134Z There is also a case where `-dlink` is used without `-rdc`: 2024-04-03T16:54:26.5632551Z when an extension is linked against a static lib containing rdc-compiled objects 2024-04-03T16:54:26.5632827Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem). 2024-04-03T16:54:26.5632925Z 2024-04-03T16:54:26.5633201Z Note: Ninja is required to build a CUDA Extension with RDC linking. 2024-04-03T16:54:26.5633287Z 2024-04-03T16:54:26.5633390Z Example: 2024-04-03T16:54:26.5633501Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.5633734Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-04-03T16:54:26.5633888Z >>> CUDAExtension( 2024-04-03T16:54:26.5634058Z ... name='cuda_extension', 2024-04-03T16:54:26.5634340Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-04-03T16:54:26.5634445Z ... dlink=True, 2024-04-03T16:54:26.5634589Z ... dlink_libraries=["dlink_lib"], 2024-04-03T16:54:26.5634807Z ... extra_compile_args={'cxx': ['-g'], 2024-04-03T16:54:26.5635035Z ... 'nvcc': ['-O2', '-rdc=true']}) 2024-04-03T16:54:26.5635123Z 2024-04-03T16:54:26.5635529Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5635618Z 2024-04-03T16:54:26.5635728Z warnings.warn(msg) 2024-04-03T16:54:26.5635827Z 2024-04-03T16:54:26.5636023Z --- Parse Warning: 83 / 87 --- 2024-04-03T16:54:26.5637332Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1229. 2024-04-03T16:54:26.5637749Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5637832Z 2024-04-03T16:54:26.5638081Z Load a PyTorch C++ extension just-in-time (JIT). 2024-04-03T16:54:26.5638166Z 2024-04-03T16:54:26.5638452Z To load an extension, a Ninja build file is emitted, which is used to 2024-04-03T16:54:26.5638735Z compile the given sources into a dynamic library. This library is 2024-04-03T16:54:26.5639022Z subsequently loaded into the current Python process as a module and 2024-04-03T16:54:26.5639184Z returned from this function, ready for use. 2024-04-03T16:54:26.5639278Z 2024-04-03T16:54:26.5639558Z By default, the directory to which the build file is emitted and the 2024-04-03T16:54:26.5639863Z resulting library compiled to is ``/torch_extensions/``, where 2024-04-03T16:54:26.5640155Z ```` is the temporary folder on the current platform and ```` 2024-04-03T16:54:26.5640452Z the name of the extension. This location can be overridden in two ways. 2024-04-03T16:54:26.5640733Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it 2024-04-03T16:54:26.5641027Z replaces ``/torch_extensions`` and all extensions will be compiled 2024-04-03T16:54:26.5641316Z into subfolders of this directory. Second, if the ``build_directory`` 2024-04-03T16:54:26.5641673Z argument to this function is supplied, it overrides the entire path, i.e. 2024-04-03T16:54:26.5641892Z the library will be compiled into that folder directly. 2024-04-03T16:54:26.5641978Z 2024-04-03T16:54:26.5642274Z To compile the sources, the default system compiler (``c++``) is used, 2024-04-03T16:54:26.5642601Z which can be overridden by setting the ``CXX`` environment variable. To pass 2024-04-03T16:54:26.5642888Z additional arguments to the compilation process, ``extra_cflags`` or 2024-04-03T16:54:26.5643199Z ``extra_ldflags`` can be provided. For example, to compile your extension 2024-04-03T16:54:26.5643559Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use 2024-04-03T16:54:26.5643758Z ``extra_cflags`` to pass further include directories. 2024-04-03T16:54:26.5643858Z 2024-04-03T16:54:26.5644171Z CUDA support with mixed compilation is provided. Simply pass CUDA source 2024-04-03T16:54:26.5644445Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be 2024-04-03T16:54:26.5644769Z detected and compiled with nvcc rather than the C++ compiler. This includes 2024-04-03T16:54:26.5645053Z passing the CUDA lib64 directory as a library directory, and linking 2024-04-03T16:54:26.5645263Z ``cudart``. You can pass additional flags to nvcc via 2024-04-03T16:54:26.5645536Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various 2024-04-03T16:54:26.5645874Z heuristics for finding the CUDA install directory are used, which usually 2024-04-03T16:54:26.5646234Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the 2024-04-03T16:54:26.5646335Z safest option. 2024-04-03T16:54:26.5646422Z 2024-04-03T16:54:26.5646526Z Args: 2024-04-03T16:54:26.5646825Z name: The name of the extension to build. This MUST be the same as the 2024-04-03T16:54:26.5646960Z name of the pybind11 module! 2024-04-03T16:54:26.5647250Z sources: A list of relative or absolute paths to C++ source files. 2024-04-03T16:54:26.5647548Z extra_cflags: optional list of compiler flags to forward to the build. 2024-04-03T16:54:26.5647847Z extra_cuda_cflags: optional list of compiler flags to forward to nvcc 2024-04-03T16:54:26.5647979Z when building CUDA sources. 2024-04-03T16:54:26.5648268Z extra_ldflags: optional list of linker flags to forward to the build. 2024-04-03T16:54:26.5648562Z extra_include_paths: optional list of include directories to forward 2024-04-03T16:54:26.5648672Z to the build. 2024-04-03T16:54:26.5648905Z build_directory: optional path to use as build workspace. 2024-04-03T16:54:26.5649160Z verbose: If ``True``, turns on verbose logging of load steps. 2024-04-03T16:54:26.5649450Z with_cuda: Determines whether CUDA headers and libraries are added to 2024-04-03T16:54:26.5649666Z the build. If set to ``None`` (default), this value is 2024-04-03T16:54:26.5649940Z automatically determined based on the existence of ``.cu`` or 2024-04-03T16:54:26.5650186Z ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers 2024-04-03T16:54:26.5650331Z and libraries to be included. 2024-04-03T16:54:26.5650605Z is_python_module: If ``True`` (default), imports the produced shared 2024-04-03T16:54:26.5650863Z library as a Python module. If ``False``, behavior depends on 2024-04-03T16:54:26.5650991Z ``is_standalone``. 2024-04-03T16:54:26.5651272Z is_standalone: If ``False`` (default) loads the constructed extension 2024-04-03T16:54:26.5651549Z into the process as a plain dynamic library. If ``True``, build a 2024-04-03T16:54:26.5651683Z standalone executable. 2024-04-03T16:54:26.5651772Z 2024-04-03T16:54:26.5651867Z Returns: 2024-04-03T16:54:26.5652026Z If ``is_python_module`` is ``True``: 2024-04-03T16:54:26.5652263Z Returns the loaded PyTorch extension as a Python module. 2024-04-03T16:54:26.5652382Z 2024-04-03T16:54:26.5652675Z If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``: 2024-04-03T16:54:26.5652956Z Returns nothing. (The shared library is loaded into the process as 2024-04-03T16:54:26.5653077Z a side effect.) 2024-04-03T16:54:26.5653164Z 2024-04-03T16:54:26.5653298Z If ``is_standalone`` is ``True``. 2024-04-03T16:54:26.5653584Z Return the path to the executable. (On Windows, TORCH_LIB_PATH is 2024-04-03T16:54:26.5653826Z added to the PATH environment variable as a side effect.) 2024-04-03T16:54:26.5653912Z 2024-04-03T16:54:26.5654108Z Example: 2024-04-03T16:54:26.5654262Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.5654446Z >>> from torch.utils.cpp_extension import load 2024-04-03T16:54:26.5654564Z >>> module = load( 2024-04-03T16:54:26.5654722Z ... name='extension', 2024-04-03T16:54:26.5654985Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-04-03T16:54:26.5655154Z ... extra_cflags=['-O2'], 2024-04-03T16:54:26.5655259Z ... verbose=True) 2024-04-03T16:54:26.5655343Z 2024-04-03T16:54:26.5655739Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5655824Z 2024-04-03T16:54:26.5655932Z warnings.warn(msg) 2024-04-03T16:54:26.5656029Z 2024-04-03T16:54:26.5656257Z --- Parse Warning: 84 / 87 --- 2024-04-03T16:54:26.5657639Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_inline in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1521. 2024-04-03T16:54:26.5658041Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5658128Z 2024-04-03T16:54:26.5658481Z Load a PyTorch C++ extension just-in-time (JIT) from string sources. 2024-04-03T16:54:26.5658570Z 2024-04-03T16:54:26.5658875Z This function behaves exactly like :func:`load`, but takes its sources as 2024-04-03T16:54:26.5659189Z strings rather than filenames. These strings are stored to files in the 2024-04-03T16:54:26.5659466Z build directory, after which the behavior of :func:`load_inline` is 2024-04-03T16:54:26.5659585Z identical to :func:`load`. 2024-04-03T16:54:26.5659682Z 2024-04-03T16:54:26.5659776Z See `the 2024-04-03T16:54:26.5660201Z tests `_ 2024-04-03T16:54:26.5660361Z for good examples of using this function. 2024-04-03T16:54:26.5660447Z 2024-04-03T16:54:26.5660840Z Sources may omit two required parts of a typical non-inline C++ extension: 2024-04-03T16:54:26.5661160Z the necessary header includes, as well as the (pybind11) binding code. More 2024-04-03T16:54:26.5661470Z precisely, strings passed to ``cpp_sources`` are first concatenated into a 2024-04-03T16:54:26.5661739Z single ``.cpp`` file. This file is then prepended with ``#include 2024-04-03T16:54:26.5661852Z ``. 2024-04-03T16:54:26.5661937Z 2024-04-03T16:54:26.5662342Z Furthermore, if the ``functions`` argument is supplied, bindings will be 2024-04-03T16:54:26.5662645Z automatically generated for each function specified. ``functions`` can 2024-04-03T16:54:26.5662957Z either be a list of function names, or a dictionary mapping from function 2024-04-03T16:54:26.5663286Z names to docstrings. If a list is given, the name of each function is used 2024-04-03T16:54:26.5663392Z as its docstring. 2024-04-03T16:54:26.5663491Z 2024-04-03T16:54:26.5663789Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu`` 2024-04-03T16:54:26.5664022Z file and prepended with ``torch/types.h``, ``cuda.h`` and 2024-04-03T16:54:26.5664316Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled 2024-04-03T16:54:26.5664651Z separately, but ultimately linked into a single library. Note that no 2024-04-03T16:54:26.5664958Z bindings are generated for functions in ``cuda_sources`` per se. To bind 2024-04-03T16:54:26.5665276Z to a CUDA kernel, you must create a C++ function that calls it, and either 2024-04-03T16:54:26.5665569Z declare or define this C++ function in one of the ``cpp_sources`` (and 2024-04-03T16:54:26.5665703Z include its name in ``functions``). 2024-04-03T16:54:26.5665803Z 2024-04-03T16:54:26.5666053Z See :func:`load` for a description of arguments omitted below. 2024-04-03T16:54:26.5666140Z 2024-04-03T16:54:26.5666245Z Args: 2024-04-03T16:54:26.5666571Z cpp_sources: A string, or list of strings, containing C++ source code. 2024-04-03T16:54:26.5666882Z cuda_sources: A string, or list of strings, containing CUDA source code. 2024-04-03T16:54:26.5667155Z functions: A list of function names for which to generate function 2024-04-03T16:54:26.5667445Z bindings. If a dictionary is given, it should map function names to 2024-04-03T16:54:26.5667691Z docstrings (which are otherwise just the function names). 2024-04-03T16:54:26.5667981Z with_cuda: Determines whether CUDA headers and libraries are added to 2024-04-03T16:54:26.5668197Z the build. If set to ``None`` (default), this value is 2024-04-03T16:54:26.5668509Z automatically determined based on whether ``cuda_sources`` is 2024-04-03T16:54:26.5668745Z provided. Set it to ``True`` to force CUDA headers 2024-04-03T16:54:26.5668880Z and libraries to be included. 2024-04-03T16:54:26.5669161Z with_pytorch_error_handling: Determines whether pytorch error and 2024-04-03T16:54:26.5669431Z warning macros are handled by pytorch instead of pybind. To do 2024-04-03T16:54:26.5669776Z this, each function ``foo`` is called via an intermediary ``_safe_foo`` 2024-04-03T16:54:26.5670036Z function. This redirection might cause issues in obscure cases 2024-04-03T16:54:26.5670298Z of cpp. This flag should be set to ``False`` when this redirect 2024-04-03T16:54:26.5670415Z causes issues. 2024-04-03T16:54:26.5670503Z 2024-04-03T16:54:26.5670598Z Example: 2024-04-03T16:54:26.5670804Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-04-03T16:54:26.5671010Z >>> from torch.utils.cpp_extension import load_inline 2024-04-03T16:54:26.5671116Z >>> source = """ 2024-04-03T16:54:26.5671315Z at::Tensor sin_add(at::Tensor x, at::Tensor y) { 2024-04-03T16:54:26.5671433Z return x.sin() + y.sin(); 2024-04-03T16:54:26.5671522Z } 2024-04-03T16:54:26.5671623Z """ 2024-04-03T16:54:26.5671860Z >>> module = load_inline(name='inline_extension', 2024-04-03T16:54:26.5672029Z ... cpp_sources=[source], 2024-04-03T16:54:26.5672232Z ... functions=['sin_add']) 2024-04-03T16:54:26.5672322Z 2024-04-03T16:54:26.5672427Z .. note:: 2024-04-03T16:54:26.5672696Z By default, the Ninja backend uses #CPUS + 2 workers to build the 2024-04-03T16:54:26.5672977Z extension. This may use up too many resources on some systems. One 2024-04-03T16:54:26.5673292Z can control the number of workers by setting the `MAX_JOBS` environment 2024-04-03T16:54:26.5673477Z variable to a non-negative number. 2024-04-03T16:54:26.5673571Z 2024-04-03T16:54:26.5673981Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5674068Z 2024-04-03T16:54:26.5674178Z warnings.warn(msg) 2024-04-03T16:54:26.5674273Z 2024-04-03T16:54:26.5674485Z --- Parse Warning: 85 / 87 --- 2024-04-03T16:54:26.5675927Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ThroughputBenchmark in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=60. 2024-04-03T16:54:26.5676394Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5676480Z 2024-04-03T16:54:26.5676893Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark. 2024-04-03T16:54:26.5676981Z 2024-04-03T16:54:26.5677368Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible 2024-04-03T16:54:26.5677717Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference 2024-04-03T16:54:26.5678044Z server like load. It can emulate multiple calling threads to a single module 2024-04-03T16:54:26.5678419Z provided. In the future we plan to enhance this component to support inter and 2024-04-03T16:54:26.5678824Z intra-op parallelism as well as multiple models running in a single process. 2024-04-03T16:54:26.5678913Z 2024-04-03T16:54:26.5679268Z Please note that even though nn.Module is supported, it might incur an overhead 2024-04-03T16:54:26.5679583Z from the need to hold GIL every time we execute Python code or pass around 2024-04-03T16:54:26.5679910Z inputs as Python objects. As soon as you have a ScriptModule version of your 2024-04-03T16:54:26.5680235Z model for inference deployment it is better to switch to using it in this 2024-04-03T16:54:26.5680333Z benchmark. 2024-04-03T16:54:26.5680418Z 2024-04-03T16:54:26.5680571Z Example:: 2024-04-03T16:54:26.5680693Z 2024-04-03T16:54:26.5680850Z >>> # xdoctest: +SKIP("undefined vars") 2024-04-03T16:54:26.5681046Z >>> from torch.utils import ThroughputBenchmark 2024-04-03T16:54:26.5681214Z >>> bench = ThroughputBenchmark(my_module) 2024-04-03T16:54:26.5681491Z >>> # Pre-populate benchmark's data set with the inputs 2024-04-03T16:54:26.5681621Z >>> for input in inputs: 2024-04-03T16:54:26.5681934Z ... # Both args and kwargs work, same as any PyTorch Module / ScriptModule 2024-04-03T16:54:26.5682120Z ... bench.add_input(input[0], x2=input[1]) 2024-04-03T16:54:26.5682381Z >>> # Inputs supplied above are randomly used during the execution 2024-04-03T16:54:26.5682509Z >>> stats = bench.benchmark( 2024-04-03T16:54:26.5690001Z ... num_calling_threads=4, 2024-04-03T16:54:26.5690193Z ... num_warmup_iters = 100, 2024-04-03T16:54:26.5690324Z ... num_iters = 1000, 2024-04-03T16:54:26.5690423Z ... ) 2024-04-03T16:54:26.5690677Z >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms)) 2024-04-03T16:54:26.5690930Z >>> print("Number of iterations: {}".format(stats.num_iters)) 2024-04-03T16:54:26.5691022Z 2024-04-03T16:54:26.5691449Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5691553Z 2024-04-03T16:54:26.5691664Z warnings.warn(msg) 2024-04-03T16:54:26.5691753Z 2024-04-03T16:54:26.5691972Z --- Parse Warning: 86 / 87 --- 2024-04-03T16:54:26.5693383Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedSampler in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/distributed.py line=14. 2024-04-03T16:54:26.5693806Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-04-03T16:54:26.5694187Z Sampler that restricts data loading to a subset of the dataset. 2024-04-03T16:54:26.5694280Z 2024-04-03T16:54:26.5694468Z It is especially useful in conjunction with 2024-04-03T16:54:26.5694816Z :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each 2024-04-03T16:54:26.5695184Z process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a 2024-04-03T16:54:26.5695508Z :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the 2024-04-03T16:54:26.5695676Z original dataset that is exclusive to it. 2024-04-03T16:54:26.5695926Z 2024-04-03T16:54:26.5696050Z .. note:: 2024-04-03T16:54:26.5696388Z Dataset is assumed to be of constant size and that any instance of it always 2024-04-03T16:54:26.5696571Z returns the same elements in the same order. 2024-04-03T16:54:26.5696675Z 2024-04-03T16:54:26.5696770Z Args: 2024-04-03T16:54:26.5696925Z dataset: Dataset used for sampling. 2024-04-03T16:54:26.5697227Z num_replicas (int, optional): Number of processes participating in 2024-04-03T16:54:26.5697555Z distributed training. By default, :attr:`world_size` is retrieved from the 2024-04-03T16:54:26.5697753Z current distributed group. 2024-04-03T16:54:26.5698088Z rank (int, optional): Rank of the current process within :attr:`num_replicas`. 2024-04-03T16:54:26.5698365Z By default, :attr:`rank` is retrieved from the current distributed 2024-04-03T16:54:26.5698478Z group. 2024-04-03T16:54:26.5698784Z shuffle (bool, optional): If ``True`` (default), sampler will shuffle the 2024-04-03T16:54:26.5698884Z indices. 2024-04-03T16:54:26.5699160Z seed (int, optional): random seed used to shuffle the sampler if 2024-04-03T16:54:26.5699425Z :attr:`shuffle=True`. This number should be identical across all 2024-04-03T16:54:26.5699675Z processes in the distributed group. Default: ``0``. 2024-04-03T16:54:26.5700016Z drop_last (bool, optional): if ``True``, then the sampler will drop the 2024-04-03T16:54:26.5700294Z tail of the data to make it evenly divisible across the number of 2024-04-03T16:54:26.5700584Z replicas. If ``False``, the sampler will add extra indices to make 2024-04-03T16:54:26.5700870Z the data evenly divisible across the replicas. Default: ``False``. 2024-04-03T16:54:26.5700958Z 2024-04-03T16:54:26.5701072Z .. warning:: 2024-04-03T16:54:26.5701325Z In distributed mode, calling the :meth:`set_epoch` method at 2024-04-03T16:54:26.5701674Z the beginning of each epoch **before** creating the :class:`DataLoader` iterator 2024-04-03T16:54:26.5702178Z is necessary to make shuffling work properly across multiple epochs. Otherwise, 2024-04-03T16:54:26.5702337Z the same ordering will be always used. 2024-04-03T16:54:26.5702425Z 2024-04-03T16:54:26.5702546Z Example:: 2024-04-03T16:54:26.5702636Z 2024-04-03T16:54:26.5702756Z >>> # xdoctest: +SKIP 2024-04-03T16:54:26.5703058Z >>> sampler = DistributedSampler(dataset) if is_distributed else None 2024-04-03T16:54:26.5703288Z >>> loader = DataLoader(dataset, shuffle=(sampler is None), 2024-04-03T16:54:26.5703461Z ... sampler=sampler) 2024-04-03T16:54:26.5703641Z >>> for epoch in range(start_epoch, n_epochs): 2024-04-03T16:54:26.5703764Z ... if is_distributed: 2024-04-03T16:54:26.5703926Z ... sampler.set_epoch(epoch) 2024-04-03T16:54:26.5704034Z ... train(loader) 2024-04-03T16:54:26.5704128Z 2024-04-03T16:54:26.5704545Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-04-03T16:54:26.5704633Z 2024-04-03T16:54:26.5704744Z warnings.warn(msg) 2024-04-03T16:54:26.5704845Z 2024-04-03T16:54:26.5705049Z --- Parse Warning: 87 / 87 --- 2024-04-03T16:54:26.5706414Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=collate in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py line=109. 2024-04-03T16:54:26.5706815Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-04-03T16:54:26.5706902Z 2024-04-03T16:54:26.5707279Z General collate function that handles collection type of element within each batch. 2024-04-03T16:54:26.5707461Z 2024-04-03T16:54:26.5707935Z The function also opens function registry to deal with specific element types. `default_collate_fn_map` 2024-04-03T16:54:26.5708316Z provides default collate functions for tensors, numpy arrays, numbers and strings. 2024-04-03T16:54:26.5708408Z 2024-04-03T16:54:26.5708504Z Args: 2024-04-03T16:54:26.5708668Z batch: a single batch to be collated 2024-04-03T16:54:26.5709138Z collate_fn_map: Optional dictionary mapping from element type to the corresponding collate function. 2024-04-03T16:54:26.5709418Z If the element type isn't present in this dictionary, 2024-04-03T16:54:26.5709853Z this function will go through each key of the dictionary in the insertion order to 2024-04-03T16:54:26.5710252Z invoke the corresponding collate function if the element type is a subclass of the key. 2024-04-03T16:54:26.5710353Z 2024-04-03T16:54:26.5710454Z Examples: 2024-04-03T16:54:26.5710652Z >>> def collate_tensor_fn(batch, *, collate_fn_map): 2024-04-03T16:54:26.5710864Z >>> # Extend this function to handle batch of tensors 2024-04-03T16:54:26.5711008Z ... return torch.stack(batch, 0) 2024-04-03T16:54:26.5711137Z >>> def custom_collate(batch): 2024-04-03T16:54:26.5711347Z ... collate_map = {torch.Tensor: collate_tensor_fn} 2024-04-03T16:54:26.5711589Z ... return collate(batch, collate_fn_map=collate_map) 2024-04-03T16:54:26.5712016Z >>> # Extend `default_collate` by in-place modifying `default_collate_fn_map` 2024-04-03T16:54:26.5712297Z >>> default_collate_fn_map.update({torch.Tensor: collate_tensor_fn}) 2024-04-03T16:54:26.5712392Z 2024-04-03T16:54:26.5712484Z Note: 2024-04-03T16:54:26.5712882Z Each collate function requires a positional argument for batch and a keyword argument 2024-04-03T16:54:26.5713133Z for the dictionary of collate functions as `collate_fn_map`. 2024-04-03T16:54:26.5713238Z 2024-04-03T16:54:26.5714032Z Original Error: IndentationError('expected an indented block after function definition on line 1', ('', 2, 1, '_._ = None\n', 2, 2)) 2024-04-03T16:54:26.5714121Z 2024-04-03T16:54:26.5714231Z _._ = None 2024-04-03T16:54:26.5714318Z ^ 2024-04-03T16:54:26.5714428Z warnings.warn(msg) 2024-04-03T16:54:26.5714528Z 2024-04-03T16:54:26.5714634Z  2024-04-03T16:54:26.5714833Z === Found 9 run-time warnings === 2024-04-03T16:54:26.5715044Z --- Runtime Warning: 1 / 9 --- 2024-04-03T16:54:26.5715383Z example = 2024-04-03T16:54:26.5717417Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py:1249: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1924.) 2024-04-03T16:54:26.5717574Z return super().refine_names(names) 2024-04-03T16:54:26.5717661Z 2024-04-03T16:54:26.5717873Z --- Runtime Warning: 2 / 9 --- 2024-04-03T16:54:26.5718177Z example = 2024-04-03T16:54:26.5719138Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py:169: UserWarning: Warning only once for all operators, other operators may also be overrided. 2024-04-03T16:54:26.5719556Z Overriding a previously registered kernel for the same operator and the same dispatch key 2024-04-03T16:54:26.5719885Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2024-04-03T16:54:26.5720279Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2024-04-03T16:54:26.5720408Z dispatch key: CPU 2024-04-03T16:54:26.5720975Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2024-04-03T16:54:26.5721782Z new kernel: registered at /dev/null:811 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:160.) 2024-04-03T16:54:26.5722193Z self.m.impl(name, dispatch_key if dispatch_key != "" else "CompositeImplicitAutograd", fn) 2024-04-03T16:54:26.5722281Z 2024-04-03T16:54:26.5722495Z --- Runtime Warning: 3 / 9 --- 2024-04-03T16:54:26.5722811Z example = 2024-04-03T16:54:26.5724499Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py:105: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:180.) 2024-04-03T16:54:26.5724830Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2024-04-03T16:54:26.5724919Z 2024-04-03T16:54:26.5725134Z --- Runtime Warning: 4 / 9 --- 2024-04-03T16:54:26.5725466Z example = 2024-04-03T16:54:26.5727993Z :1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:55.) 2024-04-03T16:54:26.5728111Z 2024-04-03T16:54:26.5728313Z --- Runtime Warning: 5 / 9 --- 2024-04-03T16:54:26.5728720Z example = 2024-04-03T16:54:26.5730922Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/const_fold.py:250: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer 2024-04-03T16:54:26.5731156Z new_node = root_const_gm.graph.get_attr(in_node.target) 2024-04-03T16:54:26.5731245Z 2024-04-03T16:54:26.5731443Z --- Runtime Warning: 6 / 9 --- 2024-04-03T16:54:26.5731844Z example = 2024-04-03T16:54:26.5733460Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py:306: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2024-04-03T16:54:26.5734108Z warnings.warn(f"enable_nested_tensor is True, but self.use_nested_tensor is False because {why_not_sparsity_fast_path}") 2024-04-03T16:54:26.5734217Z 2024-04-03T16:54:26.5734422Z --- Runtime Warning: 7 / 9 --- 2024-04-03T16:54:26.5734871Z example = 2024-04-03T16:54:26.5736497Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py:306: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2024-04-03T16:54:26.5737049Z warnings.warn(f"enable_nested_tensor is True, but self.use_nested_tensor is False because {why_not_sparsity_fast_path}") 2024-04-03T16:54:26.5737154Z 2024-04-03T16:54:26.5737354Z --- Runtime Warning: 8 / 9 --- 2024-04-03T16:54:26.5737719Z example = 2024-04-03T16:54:26.5738932Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm. 2024-04-03T16:54:26.5739548Z warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.") 2024-04-03T16:54:26.5739649Z 2024-04-03T16:54:26.5739849Z --- Runtime Warning: 9 / 9 --- 2024-04-03T16:54:26.5740255Z example = 2024-04-03T16:54:26.5741497Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm. 2024-04-03T16:54:26.5742230Z warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.") 2024-04-03T16:54:26.5742320Z 2024-04-03T16:54:26.5742699Z === 314 passed, 355 skipped, 96 warnings in 12.41 seconds === 2024-04-03T16:54:26.5743059Z Running test_cpp_extensions_aot_ninja 1/1 ... [2024-04-03 16:54:26.380192] 2024-04-03T16:54:27.9333758Z running install 2024-04-03T16:54:27.9335691Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2024-04-03T16:54:27.9336806Z !! 2024-04-03T16:54:27.9336976Z 2024-04-03T16:54:27.9337394Z ******************************************************************************** 2024-04-03T16:54:27.9338048Z Please avoid running ``setup.py`` directly. 2024-04-03T16:54:27.9338664Z Instead, use pypa/build, pypa/installer or other 2024-04-03T16:54:27.9339205Z standards-based tools. 2024-04-03T16:54:27.9339520Z 2024-04-03T16:54:27.9339996Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2024-04-03T16:54:27.9340808Z ******************************************************************************** 2024-04-03T16:54:27.9341241Z 2024-04-03T16:54:27.9341345Z !! 2024-04-03T16:54:27.9341590Z self.initialize_options() 2024-04-03T16:54:27.9446467Z running build 2024-04-03T16:54:27.9446754Z running build_py 2024-04-03T16:54:27.9512499Z creating build 2024-04-03T16:54:27.9513109Z creating build/lib.linux-x86_64-cpython-312 2024-04-03T16:54:27.9514021Z creating build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension 2024-04-03T16:54:27.9515044Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension 2024-04-03T16:54:27.9516205Z running build_ext 2024-04-03T16:54:27.9847757Z building 'torch_test_cpp_extension.cpp' extension 2024-04-03T16:54:27.9848697Z creating /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312 2024-04-03T16:54:28.0153464Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/build.ninja... 2024-04-03T16:54:28.0154396Z Compiling objects... 2024-04-03T16:54:28.0155088Z Using envvar MAX_JOBS (6) as the number of workers... 2024-04-03T16:54:28.8445889Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/extension.o.d -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-04-03T16:54:28.8538607Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-x86_64-linux-gnu.so 2024-04-03T16:54:29.1434805Z building 'torch_test_cpp_extension.ort' extension 2024-04-03T16:54:29.1727307Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/build.ninja... 2024-04-03T16:54:29.1753361Z Compiling objects... 2024-04-03T16:54:29.1753846Z Using envvar MAX_JOBS (6) as the number of workers... 2024-04-03T16:54:29.9609840Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/ort_extension.o.d -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/ort_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/ort_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=ort -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-04-03T16:54:29.9657425Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/ort_extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/ort.cpython-312-x86_64-linux-gnu.so 2024-04-03T16:54:30.1881236Z building 'torch_test_cpp_extension.rng' extension 2024-04-03T16:54:30.2174513Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/build.ninja... 2024-04-03T16:54:30.2175513Z Compiling objects... 2024-04-03T16:54:30.2176030Z Using envvar MAX_JOBS (6) as the number of workers... 2024-04-03T16:54:31.2119613Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/rng_extension.o.d -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-04-03T16:54:31.2170077Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/rng_extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/rng.cpython-312-x86_64-linux-gnu.so 2024-04-03T16:54:31.5134677Z running install_lib 2024-04-03T16:54:31.5196329Z creating install 2024-04-03T16:54:31.5196799Z creating install/opt 2024-04-03T16:54:31.5197282Z creating install/opt/conda 2024-04-03T16:54:31.5197859Z creating install/opt/conda/envs 2024-04-03T16:54:31.5198438Z creating install/opt/conda/envs/py_3.12 2024-04-03T16:54:31.5199398Z creating install/opt/conda/envs/py_3.12/lib 2024-04-03T16:54:31.5200273Z creating install/opt/conda/envs/py_3.12/lib/python3.12 2024-04-03T16:54:31.5201588Z creating install/opt/conda/envs/py_3.12/lib/python3.12/site-packages 2024-04-03T16:54:31.5202832Z creating install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-04-03T16:54:31.5204467Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-04-03T16:54:31.5206604Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-04-03T16:54:31.5236663Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/ort.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-04-03T16:54:31.5269795Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/rng.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-04-03T16:54:31.5309128Z byte-compiling ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-312.pyc 2024-04-03T16:54:31.5310465Z running install_egg_info 2024-04-03T16:54:31.5445408Z running egg_info 2024-04-03T16:54:31.5445868Z creating torch_test_cpp_extension.egg-info 2024-04-03T16:54:31.5499123Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2024-04-03T16:54:31.5502417Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2024-04-03T16:54:31.5504956Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2024-04-03T16:54:31.5506368Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-04-03T16:54:31.5561141Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-04-03T16:54:31.5565880Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-04-03T16:54:31.5567891Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info 2024-04-03T16:54:31.5571571Z running install_scripts 2024-04-03T16:54:33.1994695Z running install 2024-04-03T16:54:33.1996461Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2024-04-03T16:54:33.1997947Z !! 2024-04-03T16:54:33.1998226Z 2024-04-03T16:54:33.1998419Z ******************************************************************************** 2024-04-03T16:54:33.1999192Z Please avoid running ``setup.py`` directly. 2024-04-03T16:54:33.1999742Z Instead, use pypa/build, pypa/installer or other 2024-04-03T16:54:33.2000306Z standards-based tools. 2024-04-03T16:54:33.2000568Z 2024-04-03T16:54:33.2001068Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2024-04-03T16:54:33.2001844Z ******************************************************************************** 2024-04-03T16:54:33.2002216Z 2024-04-03T16:54:33.2002310Z !! 2024-04-03T16:54:33.2002596Z self.initialize_options() 2024-04-03T16:54:33.2114382Z running build 2024-04-03T16:54:33.2114853Z running build_ext 2024-04-03T16:54:33.2433097Z building 'no_python_abi_suffix_test' extension 2024-04-03T16:54:33.2434180Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build 2024-04-03T16:54:33.2435449Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312 2024-04-03T16:54:33.2728890Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312/build.ninja... 2024-04-03T16:54:33.2730715Z Compiling objects... 2024-04-03T16:54:33.2731429Z Using envvar MAX_JOBS (6) as the number of workers... 2024-04-03T16:54:33.3750669Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -I/opt/conda/envs/py_3.12/include/python3.12 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-04-03T16:54:33.3792622Z creating build/lib.linux-x86_64-cpython-312 2024-04-03T16:54:33.3797116Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/no_python_abi_suffix_test.so 2024-04-03T16:54:33.4377485Z running install_lib 2024-04-03T16:54:33.4433926Z creating install 2024-04-03T16:54:33.4434349Z creating install/opt 2024-04-03T16:54:33.4435150Z creating install/opt/conda 2024-04-03T16:54:33.4435647Z creating install/opt/conda/envs 2024-04-03T16:54:33.4436455Z creating install/opt/conda/envs/py_3.12 2024-04-03T16:54:33.4436975Z creating install/opt/conda/envs/py_3.12/lib 2024-04-03T16:54:33.4437547Z creating install/opt/conda/envs/py_3.12/lib/python3.12 2024-04-03T16:54:33.4438499Z creating install/opt/conda/envs/py_3.12/lib/python3.12/site-packages 2024-04-03T16:54:33.4439937Z copying build/lib.linux-x86_64-cpython-312/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages 2024-04-03T16:54:33.4443612Z running install_egg_info 2024-04-03T16:54:33.4580359Z running egg_info 2024-04-03T16:54:33.4580803Z creating no_python_abi_suffix_test.egg-info 2024-04-03T16:54:33.4632820Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2024-04-03T16:54:33.4636040Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2024-04-03T16:54:33.4637958Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2024-04-03T16:54:33.4639159Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2024-04-03T16:54:33.4692881Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2024-04-03T16:54:33.4697176Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2024-04-03T16:54:33.4698930Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info 2024-04-03T16:54:33.4702599Z running install_scripts 2024-04-03T16:54:33.8163380Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:54:33.815843] 2024-04-03T16:54:36.5107761Z 2024-04-03T16:54:36.5109540Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_dbbb5e98799a93f2_.log 2024-04-03T16:54:36.5117992Z Running 17 items in this shard: test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestORTTensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestORTTensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestORTTensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestORTTensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library 2024-04-03T16:54:36.5125184Z 2024-04-03T16:54:36.5125579Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2024-04-03 16:54:36.511129] 2024-04-03T16:54:37.9837568Z running install 2024-04-03T16:54:37.9839648Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2024-04-03T16:54:37.9840660Z !! 2024-04-03T16:54:37.9840824Z 2024-04-03T16:54:37.9841009Z ******************************************************************************** 2024-04-03T16:54:37.9841570Z Please avoid running ``setup.py`` directly. 2024-04-03T16:54:37.9842116Z Instead, use pypa/build, pypa/installer or other 2024-04-03T16:54:37.9842631Z standards-based tools. 2024-04-03T16:54:37.9842886Z 2024-04-03T16:54:37.9843371Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2024-04-03T16:54:37.9844107Z ******************************************************************************** 2024-04-03T16:54:37.9844458Z 2024-04-03T16:54:37.9844547Z !! 2024-04-03T16:54:37.9844805Z self.initialize_options() 2024-04-03T16:54:37.9952642Z running build 2024-04-03T16:54:37.9952911Z running build_py 2024-04-03T16:54:38.0010471Z creating build 2024-04-03T16:54:38.0011729Z creating build/lib.linux-x86_64-cpython-312 2024-04-03T16:54:38.0012630Z creating build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension 2024-04-03T16:54:38.0013992Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension 2024-04-03T16:54:38.0014901Z running build_ext 2024-04-03T16:54:38.0027353Z building 'torch_test_cpp_extension.cpp' extension 2024-04-03T16:54:38.0028116Z creating build/temp.linux-x86_64-cpython-312 2024-04-03T16:54:38.0035225Z gcc -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c extension.cpp -o build/temp.linux-x86_64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-04-03T16:54:39.1629089Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2024-04-03T16:54:39.1631076Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2024-04-03T16:54:39.1632354Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/extension.h:9, 2024-04-03T16:54:39.1633097Z from extension.cpp:1: 2024-04-03T16:54:39.1636403Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2024-04-03T16:54:39.1637564Z extension.cpp:40:53: required from here 2024-04-03T16:54:39.1639446Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h:1555:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2024-04-03T16:54:39.1641058Z 1555 | class class_ : public detail::generic_type { 2024-04-03T16:54:39.1641519Z | ^~~~~~ 2024-04-03T16:54:39.1646942Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib build/temp.linux-x86_64-cpython-312/extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-x86_64-linux-gnu.so 2024-04-03T16:54:39.5631888Z building 'torch_test_cpp_extension.ort' extension 2024-04-03T16:54:39.5637710Z gcc -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c ort_extension.cpp -o build/temp.linux-x86_64-cpython-312/ort_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=ort -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-04-03T16:54:40.9482618Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib build/temp.linux-x86_64-cpython-312/ort_extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/ort.cpython-312-x86_64-linux-gnu.so 2024-04-03T16:54:41.3331591Z building 'torch_test_cpp_extension.rng' extension 2024-04-03T16:54:41.3337663Z gcc -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-04-03T16:54:42.6799881Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2024-04-03T16:54:42.6801227Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec.h:6, 2024-04-03T16:54:42.6802399Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2024-04-03T16:54:42.6803779Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2024-04-03T16:54:42.6804677Z from rng_extension.cpp:6: 2024-04-03T16:54:42.6806114Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1087: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-04-03T16:54:42.6807179Z 1087 | # pragma unroll 2024-04-03T16:54:42.6807491Z | 2024-04-03T16:54:42.6808313Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1122, 2024-04-03T16:54:42.6809638Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2024-04-03T16:54:42.6810836Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec.h:6, 2024-04-03T16:54:42.6812014Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2024-04-03T16:54:42.6813347Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2024-04-03T16:54:42.6814305Z from rng_extension.cpp:6: 2024-04-03T16:54:42.6815471Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-04-03T16:54:42.6816502Z 59 | #pragma unroll 2024-04-03T16:54:42.6816794Z | 2024-04-03T16:54:42.6817812Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-04-03T16:54:42.6818842Z 72 | #pragma unroll 2024-04-03T16:54:42.6819131Z | 2024-04-03T16:54:42.6819949Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1123, 2024-04-03T16:54:42.6821446Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2024-04-03T16:54:42.6822862Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec.h:6, 2024-04-03T16:54:42.6824023Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2024-04-03T16:54:42.6825365Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2024-04-03T16:54:42.6826328Z from rng_extension.cpp:6: 2024-04-03T16:54:42.6827510Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:130: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-04-03T16:54:42.6828563Z 130 | #pragma unroll 2024-04-03T16:54:42.6828868Z | 2024-04-03T16:54:42.6832346Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib build/temp.linux-x86_64-cpython-312/rng_extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/rng.cpython-312-x86_64-linux-gnu.so 2024-04-03T16:54:43.0862347Z running install_lib 2024-04-03T16:54:43.0924860Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-04-03T16:54:43.1017185Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/ort.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-04-03T16:54:43.1113841Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/rng.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-04-03T16:54:43.1211221Z running install_egg_info 2024-04-03T16:54:43.1345154Z running egg_info 2024-04-03T16:54:43.1397804Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2024-04-03T16:54:43.1401686Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2024-04-03T16:54:43.1428582Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2024-04-03T16:54:43.1490371Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-04-03T16:54:43.1496212Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-04-03T16:54:43.1508150Z removing './install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it) 2024-04-03T16:54:43.1511432Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info 2024-04-03T16:54:43.1514334Z running install_scripts 2024-04-03T16:54:44.7316171Z running install 2024-04-03T16:54:44.7318453Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2024-04-03T16:54:44.7320374Z !! 2024-04-03T16:54:44.7320623Z 2024-04-03T16:54:44.7320962Z ******************************************************************************** 2024-04-03T16:54:44.7321816Z Please avoid running ``setup.py`` directly. 2024-04-03T16:54:44.7322812Z Instead, use pypa/build, pypa/installer or other 2024-04-03T16:54:44.7323779Z standards-based tools. 2024-04-03T16:54:44.7324223Z 2024-04-03T16:54:44.7325119Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2024-04-03T16:54:44.7326751Z ******************************************************************************** 2024-04-03T16:54:44.7327410Z 2024-04-03T16:54:44.7327558Z !! 2024-04-03T16:54:44.7328014Z self.initialize_options() 2024-04-03T16:54:44.7432984Z running build 2024-04-03T16:54:44.7433337Z running build_ext 2024-04-03T16:54:44.7756340Z building 'no_python_abi_suffix_test' extension 2024-04-03T16:54:44.8040356Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312/build.ninja... 2024-04-03T16:54:44.8041395Z Compiling objects... 2024-04-03T16:54:44.8041806Z Using envvar MAX_JOBS (6) as the number of workers... 2024-04-03T16:54:44.8287665Z ninja: no work to do. 2024-04-03T16:54:44.8327317Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/no_python_abi_suffix_test.so 2024-04-03T16:54:44.8862756Z running install_lib 2024-04-03T16:54:44.8919769Z copying build/lib.linux-x86_64-cpython-312/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages 2024-04-03T16:54:44.8923734Z running install_egg_info 2024-04-03T16:54:44.9059093Z running egg_info 2024-04-03T16:54:44.9111725Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2024-04-03T16:54:44.9114541Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2024-04-03T16:54:44.9142525Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2024-04-03T16:54:44.9202518Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2024-04-03T16:54:44.9207527Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2024-04-03T16:54:44.9216220Z removing './install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info' (and everything under it) 2024-04-03T16:54:44.9218110Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info 2024-04-03T16:54:44.9221644Z running install_scripts 2024-04-03T16:54:45.2536029Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:54:45.253121] 2024-04-03T16:54:47.8743925Z 2024-04-03T16:54:47.8746124Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_f4b064b21d7470e8_.log 2024-04-03T16:54:47.8761662Z Running 17 items in this shard: test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestORTTensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestORTTensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestORTTensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestORTTensor::test_zeros, test/test_cpp_extensions_aot_no_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_no_ninja.py::TestTorchLibrary::test_torch_library 2024-04-03T16:54:47.8776432Z 2024-04-03T16:54:47.8852622Z Running export/test_retraceability 1/1 ... [2024-04-03 16:54:47.884948] 2024-04-03T16:54:47.8855077Z Running test_jiterator 1/1 ... [2024-04-03 16:54:47.885263] 2024-04-03T16:54:47.8857220Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_retraceability.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:54:47.885441] 2024-04-03T16:54:47.8860097Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_jiterator.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:54:47.885695] 2024-04-03T16:54:49.6238733Z 2024-04-03T16:54:49.6240693Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_df02c9a7d32d9e38_.log 2024-04-03T16:54:49.6242313Z Running 0 items in this shard: 2024-04-03T16:54:49.6242745Z 2024-04-03T16:54:50.0365938Z 2024-04-03T16:54:50.0367806Z export/test_retraceability 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_retraceability_1.1_4fca06a405c69376_.log 2024-04-03T16:54:50.0368817Z 2024-04-03T16:54:51.2192261Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:54:51.3770509Z Running export/test_export_nonstrict 1/1 ... [2024-04-03 16:54:51.376649] 2024-04-03T16:54:51.3773606Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_export_nonstrict.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:54:51.377012] 2024-04-03T16:54:51.5892253Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:54:51.6466832Z Running test_subclass 1/1 ... [2024-04-03 16:54:51.646260] 2024-04-03T16:54:51.6470345Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_subclass.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:54:51.646665] 2024-04-03T16:54:53.4842333Z 2024-04-03T16:54:53.4844630Z export/test_export_nonstrict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_nonstrict_1.1_b979582ffeb65448_.log 2024-04-03T16:54:53.4845725Z 2024-04-03T16:54:54.2843242Z 2024-04-03T16:54:54.2848617Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_8dd69af08f1181ee_.log 2024-04-03T16:54:54.2882357Z Running 72 items in this shard: test/test_subclass.py::TestSubclass::test_deepcopy_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_lazy_module_base_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_diag_tensor_below, test/test_subclass.py::TestSubclass::test_lazy_module_logging_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_non_wrapper_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_sparse_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_base_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_diag_tensor_below, test/test_subclass.py::TestSubclass::test_module_optimization_logging_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_non_wrapper_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_sparse_tensor, test/test_subclass.py::TestSubclass::test_non_rewrapping_torch_dispatch_subclass_as_parameter_throws_for_detach, test/test_subclass.py::TestSubclass::test_param_invariants_base_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_base_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_diag_tensor_below_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_diag_tensor_below_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_logging_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_logging_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_non_wrapper_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_non_wrapper_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_sparse_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_sparse_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_parametrization_base_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_base_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_diag_tensor_below_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_diag_tensor_below_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_logging_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_logging_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_non_wrapper_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_non_wrapper_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_sparse_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_sparse_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_repr_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_repr_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_repr_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_tensor_subclass_storage_data_accesses_throw, test/test_subclass.py::TestSubclass::test_type_propagation_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_sparse_tensor_as_param_True 2024-04-03T16:54:54.2914277Z 2024-04-03T16:54:55.0286066Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:54:55.1091608Z Running test_model_exports_to_core_aten 1/1 ... [2024-04-03 16:54:55.108804] 2024-04-03T16:54:55.1095141Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:54:55.109191] 2024-04-03T16:54:55.8511967Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:54:55.9076614Z Running export/test_hop 1/1 ... [2024-04-03 16:54:55.907217] 2024-04-03T16:54:55.9079340Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_hop.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:54:55.907573] 2024-04-03T16:54:57.5776168Z 2024-04-03T16:54:57.5778050Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_f2462783507401e0_.log 2024-04-03T16:54:57.5779622Z Running 1 items in this shard: test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export 2024-04-03T16:54:57.5780361Z 2024-04-03T16:54:58.8264738Z 2024-04-03T16:54:58.8266471Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_762c23037d7d68cd_.log 2024-04-03T16:54:58.8275987Z Running 17 items in this shard: test/export/test_hop.py::TestHOPGeneric::test_all_hops_have_op_info, test/export/test_hop.py::TestHOPCPU::test_aot_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_auto_functionalize_simple_cpu_int32, test/export/test_hop.py::TestHOPCPU::test_aot_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_cond_simple_cpu_int32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_auto_functionalize_simple_cpu_int32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_cond_simple_cpu_int32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_auto_functionalize_simple_cpu_int32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_cond_simple_cpu_int32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_auto_functionalize_simple_cpu_int32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_cond_simple_cpu_int32 2024-04-03T16:54:58.8285057Z 2024-04-03T16:54:59.1359499Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:54:59.1934436Z Running test_fx_passes 1/1 ... [2024-04-03 16:54:59.193108] 2024-04-03T16:54:59.1939172Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_fx_passes.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:54:59.193504] 2024-04-03T16:55:00.3113162Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:00.3674575Z Running nn/test_dropout 1/1 ... [2024-04-03 16:55:00.367078] 2024-04-03T16:55:00.3677811Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_dropout.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:00.367457] 2024-04-03T16:55:01.9119862Z 2024-04-03T16:55:01.9121949Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_7a46f96c450c8f79_.log 2024-04-03T16:55:01.9147481Z Running 52 items in this shard: test/test_fx_passes.py::TestFXGraphPasses::test_fuser_pass_deep_model, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition0, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition1, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition10, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition11, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition2, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition3, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition4, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition5, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition6, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition7, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition8, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition9, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition0, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition1, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition2, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition3, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn0_expected_partition0_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn10_expected_partition10_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn11_expected_partition11_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn12_expected_partition12_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn13_expected_partition13_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn14_expected_partition14_bookend_non_compute_pass_True, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn15_expected_partition15_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn16_expected_partition16_bookend_non_compute_pass_True, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn17_expected_partition17_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn1_expected_partition1_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn2_expected_partition2_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn3_expected_partition3_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn4_expected_partition4_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn5_expected_partition5_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn6_expected_partition6_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn7_expected_partition7_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn8_expected_partition8_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn9_expected_partition9_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_independent_output_fn0_expected_partition0, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model0, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model1, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model10, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model11, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model12, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model13, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model14, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model15, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model2, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model3, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model4, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model5, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model6, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model7, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model8, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model9 2024-04-03T16:55:01.9171601Z 2024-04-03T16:55:03.0356652Z 2024-04-03T16:55:03.0358350Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_6ff6e69ea71ab01a_.log 2024-04-03T16:55:03.0362723Z Running 9 items in this shard: test/nn/test_dropout.py::TestDropoutNN::test_AlphaDropout, test/nn/test_dropout.py::TestDropoutNN::test_FeatureAlphaDropout, test/nn/test_dropout.py::TestDropoutNN::test_invalid_dropout_p, test/nn/test_dropout.py::TestDropoutNN::test_native_dropout_corner_case, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout1d_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout2d_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout3d_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_empty_dropout_cpu 2024-04-03T16:55:03.0366225Z 2024-04-03T16:55:03.4563780Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:03.5143466Z Running test_segment_reductions 1/1 ... [2024-04-03 16:55:03.513869] 2024-04-03T16:55:03.5146768Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_segment_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:03.514279] 2024-04-03T16:55:04.5838063Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:04.6418981Z Running nn/test_module_hooks 1/1 ... [2024-04-03 16:55:04.641526] 2024-04-03T16:55:04.6423152Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_module_hooks.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:04.641918] 2024-04-03T16:55:06.8341088Z 2024-04-03T16:55:06.8343277Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_86c65f881bea1ac7_.log 2024-04-03T16:55:06.8439052Z Running 74 items in this shard: test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_unsafe_flag_cpu_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_unsafe_flag_cpu_int64 2024-04-03T16:55:06.8501657Z 2024-04-03T16:55:07.2103609Z 2024-04-03T16:55:07.2105278Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_15263cc820b0ef03_.log 2024-04-03T16:55:07.2126431Z Running 43 items in this shard: test/nn/test_module_hooks.py::TestModuleHooks::test_always_called_forward_hooks, test/nn/test_module_hooks.py::TestModuleHooks::test_bw_hook_warning_for_non_tensor_or_tuple, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_pre_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_pre_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_pre_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_pre_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_kwarg_hooks, test/nn/test_module_hooks.py::TestModuleHooks::test_mixed_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_mixed_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_remove_kwarg_hooks, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_module_pre_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_backward_compatibility, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_pre_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_no_extra_ref_to_module, test/nn/test_module_hooks.py::TestStateDictHooks::test_pickled_hook, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_global_and_local_hooks_order, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_backward_global_hook_writeable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_forward_forward_hook_removable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_forward_preforward_hook_removable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_forward_preforward_hook_writeable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hook_invalid_outputs, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hooks, test/nn/test_module_hooks.py::TestModuleHookNN::test_backward_hooks_interaction, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_backward_size, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_backward_writeable, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_buffer_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_cpp, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_extra_input, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_forward_preforward_writable, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_inplace, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_invalid_outputs, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_last_arg_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_no_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_non_full_warning, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_parameter_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_submodule_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hooks 2024-04-03T16:55:07.2146494Z 2024-04-03T16:55:08.4257894Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:08.4831706Z Running test_weak 1/1 ... [2024-04-03 16:55:08.482829] 2024-04-03T16:55:08.4835531Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_weak.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:08.483202] 2024-04-03T16:55:08.7176998Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:08.7755357Z Running test_type_hints 1/1 ... [2024-04-03 16:55:08.775197] 2024-04-03T16:55:08.7759234Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_type_hints.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:08.775582] 2024-04-03T16:55:11.1437635Z 2024-04-03T16:55:11.1439182Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_2ba0ad737c2faaf9_.log 2024-04-03T16:55:11.1440513Z Running 1 items in this shard: test/test_type_hints.py::TestTypeHints::test_doc_examples 2024-04-03T16:55:11.1441095Z 2024-04-03T16:55:12.6646726Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:12.7217978Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2024-04-03 16:55:12.721302] 2024-04-03T16:55:12.7221691Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:12.721649] 2024-04-03T16:55:13.8064762Z 2024-04-03T16:55:13.8066403Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_f879aedfeca39916_.log 2024-04-03T16:55:13.8082194Z Running 39 items in this shard: test/test_weak.py::WeakTest::test_make_weak_keyed_dict_from_dict, test/test_weak.py::WeakTest::test_make_weak_keyed_dict_from_weak_keyed_dict, test/test_weak.py::WeakTest::test_make_weak_keyed_dict_repr, test/test_weak.py::WeakTest::test_threaded_weak_key_dict_copy, test/test_weak.py::WeakTest::test_threaded_weak_key_dict_deepcopy, test/test_weak.py::WeakTest::test_weak_keyed_bad_delitem, test/test_weak.py::WeakTest::test_weak_keyed_delitem, test/test_weak.py::WeakTest::test_weak_keyed_dict_popitem, test/test_weak.py::WeakTest::test_weak_keyed_dict_setdefault, test/test_weak.py::WeakTest::test_weak_keyed_dict_update, test/test_weak.py::WeakTest::test_weak_keyed_union_operators, test/test_weak.py::WeakKeyDictionaryTestCase::test_bool, test/test_weak.py::WeakKeyDictionaryTestCase::test_constructor, test/test_weak.py::WeakKeyDictionaryTestCase::test_get, test/test_weak.py::WeakKeyDictionaryTestCase::test_getitem, test/test_weak.py::WeakKeyDictionaryTestCase::test_items, test/test_weak.py::WeakKeyDictionaryTestCase::test_keys, test/test_weak.py::WeakKeyDictionaryTestCase::test_len, test/test_weak.py::WeakKeyDictionaryTestCase::test_pop, test/test_weak.py::WeakKeyDictionaryTestCase::test_popitem, test/test_weak.py::WeakKeyDictionaryTestCase::test_read, test/test_weak.py::WeakKeyDictionaryTestCase::test_setdefault, test/test_weak.py::WeakKeyDictionaryTestCase::test_update, test/test_weak.py::WeakKeyDictionaryTestCase::test_values, test/test_weak.py::WeakKeyDictionaryTestCase::test_write, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_bool, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_constructor, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_get, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_getitem, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_items, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_keys, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_len, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_pop, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_popitem, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_read, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_setdefault, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_update, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_values, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_write 2024-04-03T16:55:13.8097335Z 2024-04-03T16:55:15.2900714Z 2024-04-03T16:55:15.2903263Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_a9a464176639a956_.log 2024-04-03T16:55:15.2924699Z Running 50 items in this shard: test/torch_np/numpy_tests/lib/test_type_check.py::TestCommonType::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_1, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_2, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_3, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsscalar::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_isreal_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_list, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsrealobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsposinf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsneginf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_array, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad2, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_good, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_do_not_rewrite_previous_keyword, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_float, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestRealIfClose::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestArrayConversion::test_asfarray 2024-04-03T16:55:15.2945335Z 2024-04-03T16:55:15.3162124Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:15.3740342Z Running export/test_verifier 1/1 ... [2024-04-03 16:55:15.373650] 2024-04-03T16:55:15.3743951Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_verifier.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:15.374002] 2024-04-03T16:55:16.7705848Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:16.8281977Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2024-04-03 16:55:16.827849] 2024-04-03T16:55:16.8285461Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:16.828208] 2024-04-03T16:55:17.6416651Z 2024-04-03T16:55:17.6418215Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_664f44d9339c31c5_.log 2024-04-03T16:55:17.6423552Z Running 10 items in this shard: test/export/test_verifier.py::TestVerifier::test_ep_verifier_basic, test/export/test_verifier.py::TestVerifier::test_ep_verifier_buffer_mutate, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_buffer, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_output, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_param, test/export/test_verifier.py::TestVerifier::test_verifier_basic, test/export/test_verifier.py::TestVerifier::test_verifier_call_module, test/export/test_verifier.py::TestVerifier::test_verifier_higher_order, test/export/test_verifier.py::TestVerifier::test_verifier_nested_invalid_module, test/export/test_verifier.py::TestVerifier::test_verifier_no_functional 2024-04-03T16:55:17.6427918Z 2024-04-03T16:55:19.1235614Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:19.1853955Z Running nn/test_embedding 1/1 ... [2024-04-03 16:55:19.184951] 2024-04-03T16:55:19.1857963Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_embedding.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:19.185333] 2024-04-03T16:55:19.8974911Z 2024-04-03T16:55:19.8976485Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_a1d513775783e181_.log 2024-04-03T16:55:19.8981831Z Running 9 items in this shard: test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_adaptive_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_collect_callgrind, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_collect_cpp_callgrind, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_compare, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_cpp_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_fuzzer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_manipulate_callgrind_stats, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_timer_tiny_fast_snippet 2024-04-03T16:55:19.8986238Z 2024-04-03T16:55:21.4168764Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:21.4746204Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2024-04-03 16:55:21.474083] 2024-04-03T16:55:21.4750439Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:21.474498] 2024-04-03T16:55:28.5235373Z 2024-04-03T16:55:28.5237742Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_b71d5a2d76a4594b_.log 2024-04-03T16:55:28.5383632Z Running 273 items in this shard: test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_copies, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_negative_resize, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_repeats, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_reshape_from_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_zeroresize, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_choose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_clip, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_compress, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_count_nonzero, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_cumproduct, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_diagonal, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_accuracy, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype3, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype4, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype5, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype6, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype7, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-10, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-9, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_mean, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_prod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ptp, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ravel, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_repeat, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_reshape, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_py_consistency, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_searchsorted, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_size, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_squeeze, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_std, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_sum, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_swapaxes, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_take, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_trace, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_transpose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_var, test/torch_np/numpy_tests/core/test_numeric.py::TestIsscalar::test_isscalar, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_or_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_or_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_xor_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_xor_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_logical, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_all_any, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_logical_and_or_xor, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_logical_not_abs, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolCmp::test_double, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolCmp::test_float, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_default, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_divide_err, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_errobj, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_set, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_warnings, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_values, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_promote_types_endian, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_result_type, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_tesult_type_2, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_5, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_9, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_empty_result, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_failed_itemsetting, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_lengths, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_too_few_items, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_types, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_values, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_?, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_B, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_b, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_h, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_i, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_l, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_list, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_countnonzero_axis_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_countnonzero_keepdims, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_onedim, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_onedim_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_trivial, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_trivial_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_twodim, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_zerod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_zerod_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestIndex::test_boolean, test/torch_np/numpy_tests/core/test_numeric.py::TestIndex::test_boolean_edgecase, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_large_neg_int64, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_neg_width_boundaries, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_negative, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_positive, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_sufficient_width, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_base3, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_base_range, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_negative, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_positive, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equal, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equal_equal_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equiv, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_none_compares_elementwise, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_array_double, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_func_takes_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_inplace_array, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_inplace_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_non_contig, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_property, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_scalar_nan_propagation_arr0_amin0_amax0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin2_amax2, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin_1_amax1, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin_1_amax_0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_array_int32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_array_outint32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_memory_overlap, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple2, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple_int32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_transposed, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_noncontig_inplace, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_D, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_F, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_e, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_?, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_B, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_b, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_d, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_f, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_h, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_i, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_l, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_double, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_inplace_01, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_inplace_02, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_inout_casting0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_inout_casting_unsafe, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int64_inout, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int64_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_nonnative, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_01, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_02, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_03, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_04, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_05, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_06, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_07, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_08, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_09, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_10, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_11, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_12, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_equalnan, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_ip_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_ip_not_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_min_int, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_no_parameter_modification, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_equal_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_all_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_isclose_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_none_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_no_parameter_modification, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_non_finite_scalar, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_scalar_return, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_basic, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_ddof1, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_ddof2, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_out_scalar, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_scalars, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVarComplex::test_basic, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVarComplex::test_scalars, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_for_reference_leak, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_full, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_ones, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_zeros, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc0_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc0_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc1_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc1_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc2_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc2_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc3_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc3_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_empty_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_filled_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_ones_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_zeros_like, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_float, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_mode, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_no_overwrite, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_zero_size, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_mode, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_no_overwrite, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_numpy_doc_examples, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_object, test/torch_np/numpy_tests/core/test_numeric.py::TestDtypePositional::test_dtype_positional, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_2D, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_list, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_0, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_1, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_2, test/torch_np/numpy_tests/core/test_numeric.py::TestStringFunction::test_set_string_function, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll1d, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll2d, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_exceptions, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_results, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_errors, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_multiples, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_new_position, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_to_end, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_preserve_order, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x2, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_3x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting_shapes, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_uint8_int32_mixed_dtypes, test/torch_np/numpy_tests/core/test_numeric.py::TestOuterMisc::test_outer_out_param, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_scalar_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_single_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_C_and_F_simul, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_non_array_input, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_require_each, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_unknown_requirement, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_error_kwargs, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_in_args, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_single_arg, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_number_of_arguments, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_shape_mismatch_error_message, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension_einsum, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimensional 2024-04-03T16:55:28.5506264Z 2024-04-03T16:55:28.8655062Z 2024-04-03T16:55:28.8659946Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_ada8aab090fa55cf_.log 2024-04-03T16:55:28.8838554Z Running 160 items in this shard: test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_from_pretrained, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_from_pretrained_padding_idx, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_functional, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_padding_idx_error, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_float32, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_float64, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int16, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int32, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int64, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int8, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_options, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_padding_idx, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_uint8, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_functional, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_max_norm, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_max_norm_unsorted_repeating_indices, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_sparse_basic, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_sparse_empty_tensor, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_from_pretrained, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_from_pretrained_options, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_include_last_offset, test/nn/test_embedding.py::TestEmbeddingNN::test_move_sparse_half_embedding, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_backward_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_1D_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_1D_padding_idx_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_2D_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_2D_padding_idx_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_dimension_errors_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_dense_grad_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_backward_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_fwd_AD_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_scalar_weight_error_cpu 2024-04-03T16:55:28.8963343Z 2024-04-03T16:55:30.1313033Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:30.1887003Z Running test_import_stats 1/1 ... [2024-04-03 16:55:30.188367] 2024-04-03T16:55:30.1890057Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_import_stats.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:30.188712] 2024-04-03T16:55:30.4817905Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:30.5397974Z Running test_monitor 1/1 ... [2024-04-03 16:55:30.539423] 2024-04-03T16:55:30.5400625Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_monitor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:30.539754] 2024-04-03T16:55:33.4095672Z 2024-04-03T16:55:33.4097737Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_7debf173130207b5_.log 2024-04-03T16:55:33.4100135Z Running 5 items in this shard: test/test_monitor.py::TestMonitor::test_event_handler, test/test_monitor.py::TestMonitor::test_fixed_count_stat, test/test_monitor.py::TestMonitor::test_interval_stat, test/test_monitor.py::TestMonitor::test_log_event, test/test_monitor.py::TestMonitorTensorboard::test_event_handler 2024-04-03T16:55:33.4101808Z 2024-04-03T16:55:35.0177967Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:35.0755030Z Running nn/test_load_state_dict 1/1 ... [2024-04-03 16:55:35.075093] 2024-04-03T16:55:35.0758433Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_load_state_dict.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:35.075468] 2024-04-03T16:55:35.1115387Z 2024-04-03T16:55:35.1117453Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_6fef84481e43a202_.log 2024-04-03T16:55:35.1119383Z Running 2 items in this shard: test/test_import_stats.py::TestImportTime::test_time_cuda_device_count, test/test_import_stats.py::TestImportTime::test_time_import_torch 2024-04-03T16:55:35.1120347Z 2024-04-03T16:55:36.7050901Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:36.7639533Z Running functorch/test_control_flow 1/1 ... [2024-04-03 16:55:36.763593] 2024-04-03T16:55:36.7643203Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_control_flow.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:36.763983] 2024-04-03T16:55:38.1960219Z 2024-04-03T16:55:38.1962194Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_94bbfd74688b47c8_.log 2024-04-03T16:55:38.1976875Z Running 27 items in this shard: test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_BC_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_BC_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_False_keep_vars_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_False_keep_vars_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_True_keep_vars_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_True_keep_vars_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_shape_stride_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_shape_stride_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_with_optimizer_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_with_optimizer_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_child_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_child_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_custom_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_custom_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_invalid_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_invalid_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_ref_cycle_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_type_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_type_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_warn_assign_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_warn_assign_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_register_state_dict_pre_hook_backward_compat_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_register_state_dict_pre_hook_backward_compat_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDictSwap::test_swap_subclass_swap_True_assign_False, test/nn/test_load_state_dict.py::TestLoadStateDictSwap::test_swap_subclass_swap_True_assign_True 2024-04-03T16:55:38.1990609Z 2024-04-03T16:55:39.6330527Z 2024-04-03T16:55:39.6332530Z functorch/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_1.1_7c7aaaf2c6120df8_.log 2024-04-03T16:55:39.6465117Z Running 189 items in this shard: test/functorch/test_control_flow.py::TestControlFlow::test_cond_gpu, test/functorch/test_control_flow.py::TestControlFlow::test_cond_no_trace, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_nested_list, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_no_grad_output, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_simple, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_simple_partial_grad, test/functorch/test_control_flow.py::TestControlFlow::test_map_dict_in_out, test/functorch/test_control_flow.py::TestControlFlow::test_map_gpu, test/functorch/test_control_flow.py::TestControlFlow::test_map_illegal_inputs, test/functorch/test_control_flow.py::TestControlFlow::test_map_illegal_outputs, test/functorch/test_control_flow.py::TestControlFlow::test_map_list_in_out, test/functorch/test_control_flow.py::TestControlFlow::test_while_loop_gpu, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_autograd_fail, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_aot_func_check_functional, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_data_dependent_pred, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_hah, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_input_aliasing_with_aot_func, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_input_mutation_on_false_branch, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_input_mutation_on_true_branch, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_nested_input_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_nested_input_mutation_with_aot_func, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_output_alias_input, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_make_fx_preserve_stack_trace_for_nodes_in_subgraph, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_multi, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_multi_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_other_inputs, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_other_inputs_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_with_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_with_closure_graph_module, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_no_dynamo_cache_limit, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_retrace_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_traced_not_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_traced_not_nested_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_args_with_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_inputs, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_outputs_nClosure_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_outputs_nClosure_1, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_2_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_2_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_2_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_2_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_2_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_2_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_single_input_with_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_consecutive_make_fx_symbolic, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_module_param_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_module_python_scalar_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_sym_pred, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_tensor_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_tensor_closure_graph_module, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_aot_func, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_arg_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_elem_alias, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_elem_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_unfunc_boolean_tensor_for_nested_map_cond, test/functorch/test_control_flow.py::TestControlFlowTraced::test_nested_cond_map_cond_symbolic, test/functorch/test_control_flow.py::TestControlFlowTraced::test_nested_map_cond_real, test/functorch/test_control_flow.py::TestControlFlowTraced::test_nested_map_cond_symbolic, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_tensor_size, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_tensor_size_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_type_size, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_type_size_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_aot_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_symbolic_dict, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_symbolic_list, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_symbolic_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_real, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_symbolic_dict, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_symbolic_list, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_symbolic_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_vmap_vmap, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_nested2_traced, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_nested_traced, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_cpp, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_functorch, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_no, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_python 2024-04-03T16:55:39.6594153Z 2024-04-03T16:55:39.7318492Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:39.7908162Z Running test_vulkan 1/1 ... [2024-04-03 16:55:39.790462] 2024-04-03T16:55:39.7912160Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_vulkan.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:39.790900] 2024-04-03T16:55:41.1794615Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:41.2377967Z Running test_compile_benchmark_util 1/1 ... [2024-04-03 16:55:41.237386] 2024-04-03T16:55:41.2381489Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_compile_benchmark_util.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:41.237788] 2024-04-03T16:55:41.5580232Z 2024-04-03T16:55:41.5581806Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_4d198829c7b86a3e_.log 2024-04-03T16:55:41.5583274Z Running 1 items in this shard: test/test_vulkan.py::TestVulkanRewritePass::test_conv 2024-04-03T16:55:41.5583825Z 2024-04-03T16:55:43.1216159Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:43.1794960Z Running export/test_export 1/1 ... [2024-04-03 16:55:43.179139] 2024-04-03T16:55:43.1798317Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_export.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:43.179508] 2024-04-03T16:55:43.5558026Z 2024-04-03T16:55:43.5559570Z test_compile_benchmark_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_compile_benchmark_util_1.1_191a4db7151b8fe1_.log 2024-04-03T16:55:43.5561354Z Running 1 items in this shard: test/test_compile_benchmark_util.py::TestCompileBenchmarkUtil::test_training_and_inference 2024-04-03T16:55:43.5562144Z 2024-04-03T16:55:45.1156807Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:45.1729257Z Running export/test_unflatten 1/1 ... [2024-04-03 16:55:45.172499] 2024-04-03T16:55:45.1732794Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_unflatten.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:45.172911] 2024-04-03T16:55:45.7483149Z 2024-04-03T16:55:45.7485171Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_dd07e4db7159dee9_.log 2024-04-03T16:55:45.7590552Z Running 129 items in this shard: test/export/test_export.py::TestDynamismExpression::test_export_assume_static_by_default, test/export/test_export.py::TestDynamismExpression::test_export_constraints_error, test/export/test_export.py::TestDynamismExpression::test_export_inline_constraints, test/export/test_export.py::TestExport::test__scaled_dot_product_flash_attention, test/export/test_export.py::TestExport::test_args_type_checked, test/export/test_export.py::TestExport::test_automatic_constrain_size, test/export/test_export.py::TestExport::test_basic, test/export/test_export.py::TestExport::test_basic_non_strict_fake_tensor, test/export/test_export.py::TestExport::test_basic_non_strict_real_tensor, test/export/test_export.py::TestExport::test_buffer_util, test/export/test_export.py::TestExport::test_check_specialized_int, test/export/test_export.py::TestExport::test_compiling_state, test/export/test_export.py::TestExport::test_cond_buffers, test/export/test_export.py::TestExport::test_cond_with_module_stack_export_with, test/export/test_export.py::TestExport::test_cond_with_module_stack_export_with_unflatten, test/export/test_export.py::TestExport::test_constant_output, test/export/test_export.py::TestExport::test_constrain_as_size_error, test/export/test_export.py::TestExport::test_constrain_decomp, test/export/test_export.py::TestExport::test_constrain_size_in_eager, test/export/test_export.py::TestExport::test_constrain_size_with_constrain_value, test/export/test_export.py::TestExport::test_constrain_size_with_various_cases, test/export/test_export.py::TestExport::test_constrain_value_with_no_default, test/export/test_export.py::TestExport::test_constrain_value_with_symfloat, test/export/test_export.py::TestExport::test_conv_dynamic, test/export/test_export.py::TestExport::test_custom_op_auto_functionalize, test/export/test_export.py::TestExport::test_custom_op_auto_functionalize_pre_dispatch, test/export/test_export.py::TestExport::test_custom_op_auto_warn_pre_dispatch, test/export/test_export.py::TestExport::test_decomp_batch_norm_functional_predispatch, test/export/test_export.py::TestExport::test_derived_dim_1_2, test/export/test_export.py::TestExport::test_derived_dim_basic, test/export/test_export.py::TestExport::test_derived_dim_integer, test/export/test_export.py::TestExport::test_derived_dim_nested, test/export/test_export.py::TestExport::test_derived_dim_out_of_order, test/export/test_export.py::TestExport::test_derived_dim_out_of_order_repeat_derived, test/export/test_export.py::TestExport::test_derived_dim_out_of_order_simplified, test/export/test_export.py::TestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived, test/export/test_export.py::TestExport::test_derived_dim_repeat_derived, test/export/test_export.py::TestExport::test_dim_1_2, test/export/test_export.py::TestExport::test_dynamic_shapes_spec_with_pytree, test/export/test_export.py::TestExport::test_error_does_not_reference_eager_fallback, test/export/test_export.py::TestExport::test_export_api_with_dynamic_shapes, test/export/test_export.py::TestExport::test_export_cond, test/export/test_export.py::TestExport::test_export_cond_preserve_torch_fn_for_subgraphs, test/export/test_export.py::TestExport::test_export_decomps_dynamic, test/export/test_export.py::TestExport::test_export_decomps_simple, test/export/test_export.py::TestExport::test_export_dynamo_config, test/export/test_export.py::TestExport::test_export_func_with_default_kwargs, test/export/test_export.py::TestExport::test_export_func_with_keyword_only_args, test/export/test_export.py::TestExport::test_export_func_with_kwargs, test/export/test_export.py::TestExport::test_export_func_with_pytree_kwargs, test/export/test_export.py::TestExport::test_export_func_with_var_keyword_args, test/export/test_export.py::TestExport::test_export_func_with_var_keyword_pytree_args, test/export/test_export.py::TestExport::test_export_func_with_var_postional_args, test/export/test_export.py::TestExport::test_export_graph_with_no_inputs, test/export/test_export.py::TestExport::test_export_input_mutation_bug, test/export/test_export.py::TestExport::test_export_input_mutation_dynamic_shape, test/export/test_export.py::TestExport::test_export_input_mutation_static_shape, test/export/test_export.py::TestExport::test_export_mod_constraints, test/export/test_export.py::TestExport::test_export_then_compile_tensor_ctor, test/export/test_export.py::TestExport::test_export_with_fake_tensor_inputs, test/export/test_export.py::TestExport::test_export_with_fake_tensor_inputs_on_cuda_devices, test/export/test_export.py::TestExport::test_export_with_inline_constraints, test/export/test_export.py::TestExport::test_export_with_inline_constraints_complex, test/export/test_export.py::TestExport::test_export_with_wrong_inputs, test/export/test_export.py::TestExport::test_external_call_non_strict_real_tensor, test/export/test_export.py::TestExport::test_fake_inputs, test/export/test_export.py::TestExport::test_fake_weights, test/export/test_export.py::TestExport::test_fqn, test/export/test_export.py::TestExport::test_if_functional, test/export/test_export.py::TestExport::test_issue_113041, test/export/test_export.py::TestExport::test_lazy_module_kwargs, test/export/test_export.py::TestExport::test_lifted_constants, test/export/test_export.py::TestExport::test_linear_conv, test/export/test_export.py::TestExport::test_map, test/export/test_export.py::TestExport::test_map_buffers, test/export/test_export.py::TestExport::test_mixed_input, test/export/test_export.py::TestExport::test_module, test/export/test_export.py::TestExport::test_module_with_dict_container_inp_out, test/export/test_export.py::TestExport::test_multiple_definitions_same_name_dim, test/export/test_export.py::TestExport::test_nn_module_stack, test/export/test_export.py::TestExport::test_nn_module_stack_shared_submodule, test/export/test_export.py::TestExport::test_non_arg_name_dynamic_shapes_api, test/export/test_export.py::TestExport::test_non_arg_name_dynamic_shapes_api_with_container_type, test/export/test_export.py::TestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg, test/export/test_export.py::TestExport::test_non_persistent_buffer, test/export/test_export.py::TestExport::test_non_strict_dynamic_shapes, test/export/test_export.py::TestExport::test_non_strict_dynamic_shapes_suggested_fixes, test/export/test_export.py::TestExport::test_nonstrict_retrace_preserves_metadata, test/export/test_export.py::TestExport::test_nonzero_2, test/export/test_export.py::TestExport::test_not_correct_dim, test/export/test_export.py::TestExport::test_pad_sequence, test/export/test_export.py::TestExport::test_param_util, test/export/test_export.py::TestExport::test_predispatch_cond, test/export/test_export.py::TestExport::test_preserve_shape_dynamism_for_unused_inputs, test/export/test_export.py::TestExport::test_pytree_register_data_class, test/export/test_export.py::TestExport::test_pytree_register_nested_data_class, test/export/test_export.py::TestExport::test_raise_user_error_when_guard_on_data_dependent_operation, test/export/test_export.py::TestExport::test_redundant_asserts, test/export/test_export.py::TestExport::test_retracable_ep, test/export/test_export.py::TestExport::test_retrace_graph_level_meta_preservation, test/export/test_export.py::TestExport::test_retrace_pre_autograd, test/export/test_export.py::TestExport::test_run_decomposition_supports_user_input_mutation, test/export/test_export.py::TestExport::test_runtime_assert_for_prim, test/export/test_export.py::TestExport::test_runtime_assert_for_prm_str, test/export/test_export.py::TestExport::test_static_dim_constraints, test/export/test_export.py::TestExport::test_sym_sqrt, test/export/test_export.py::TestExport::test_symint_tensor_return, test/export/test_export.py::TestExport::test_tensor_attribute_zero_args, test/export/test_export.py::TestExport::test_to_module_with_mutated_buffer, test/export/test_export.py::TestExport::test_to_module_with_mutated_buffer_multiple, test/export/test_export.py::TestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later, test/export/test_export.py::TestExport::test_torch_fn, test/export/test_export.py::TestExport::test_trace_under_fake, test/export/test_export.py::TestExport::test_train_eval_on_exported_preautograd_module, test/export/test_export.py::TestExport::test_unbacked_slice, test/export/test_export.py::TestExport::test_user_input_and_buffer_mutation, test/export/test_export.py::TestOneOffModelExportResult::test_constant_fqn, test/export/test_export.py::TestOneOffModelExportResult::test_constant_name, test/export/test_export.py::TestOneOffModelExportResult::test_int_list_output, test/export/test_export.py::TestOneOffModelExportResult::test_nested_retrace, test/export/test_export.py::TestOneOffModelExportResult::test_none_input_output, test/export/test_export.py::TestOneOffModelExportResult::test_primitive_constant_output, test/export/test_export.py::TestOneOffModelExportResult::test_print, test/export/test_export.py::TestOneOffModelExportResult::test_scaled_dot_product_attention_cpu, test/export/test_export.py::TestOneOffModelExportResult::test_scaled_dot_product_attention_cuda, test/export/test_export.py::TestOneOffModelExportResult::test_unbacked_sdpa, test/export/test_export.py::TestOneOffModelExportResult::test_warning, test/export/test_export.py::TestExportCustomClass::test_lift_custom_obj, test/export/test_export.py::TestExportCustomClass::test_tolist_nonstrict_output 2024-04-03T16:55:45.7665752Z 2024-04-03T16:55:47.2670974Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:47.3252500Z Running distributions/test_constraints 1/1 ... [2024-04-03 16:55:47.324909] 2024-04-03T16:55:47.3256190Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'distributions/test_constraints.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:47.325272] 2024-04-03T16:55:47.5419014Z 2024-04-03T16:55:47.5421168Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_3b85e4060211afe8_.log 2024-04-03T16:55:47.5430211Z Running 17 items in this shard: test/export/test_unflatten.py::TestUnflatten::test_double_nested_submodule, test/export/test_unflatten.py::TestUnflatten::test_fx_trace, test/export/test_unflatten.py::TestUnflatten::test_nested_leaf_non_strict, test/export/test_unflatten.py::TestUnflatten::test_placeholder_and_get_attr_ordering_after_unflattened, test/export/test_unflatten.py::TestUnflatten::test_unflatten_buffer_mutation, test/export/test_unflatten.py::TestUnflatten::test_unflatten_constant_obj, test/export/test_unflatten.py::TestUnflatten::test_unflatten_constant_tensor, test/export/test_unflatten.py::TestUnflatten::test_unflatten_container_type, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested_access, test/export/test_unflatten.py::TestUnflatten::test_unflatten_param_list_dict, test/export/test_unflatten.py::TestUnflatten::test_unflatten_preserve_signature, test/export/test_unflatten.py::TestUnflatten::test_unflatten_shared_submodule, test/export/test_unflatten.py::TestUnflatten::test_unflatten_submodule_ordering, test/export/test_unflatten.py::TestUnflatten::test_unflatten_with_inplace_compile, test/export/test_unflatten.py::TestUnflatten::test_unflatten_wrong_input, test/export/test_unflatten.py::TestUnflatten::test_unflattened_module_nodes_has_meta_val 2024-04-03T16:55:47.5437503Z 2024-04-03T16:55:49.1596312Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:49.2175624Z Running functorch/test_ops 1/5 ... [2024-04-03 16:55:49.217062] 2024-04-03T16:55:49.2179575Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_ops.py', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:49.217425] 2024-04-03T16:55:49.3932021Z 2024-04-03T16:55:49.3934284Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_e5e428911d76ed34_.log 2024-04-03T16:55:49.4005883Z Running 136 items in this shard: test/distributions/test_constraints.py::test_constraint[False-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[False-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[False-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[False-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[False-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[False-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[False-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[False-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[False-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[False-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[False-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[False-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[False-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[False-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[False-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[False-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[False-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[False-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_constraint[True-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[True-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[True-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[True-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[True-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[True-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[True-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[True-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[True-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[True-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[True-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[True-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[True-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[True-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[True-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[True-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[True-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[True-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn24-args24] 2024-04-03T16:55:49.4068602Z 2024-04-03T16:55:51.0132704Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:51.0722710Z Running test_functional_optim 1/1 ... [2024-04-03 16:55:51.071818] 2024-04-03T16:55:51.0725578Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_functional_optim.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:51.072166] 2024-04-03T16:55:53.6903896Z 2024-04-03T16:55:53.6907180Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_4d9f8db0865f1eb6_.log 2024-04-03T16:55:53.6913019Z Running 4 items in this shard: test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_adam, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_adam_w, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_sgd, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_registration 2024-04-03T16:55:53.6917997Z 2024-04-03T16:55:55.2909215Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:55.3482339Z Running test_type_info 1/1 ... [2024-04-03 16:55:55.347858] 2024-04-03T16:55:55.3486047Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_type_info.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:55.348229] 2024-04-03T16:55:57.9665947Z 2024-04-03T16:55:57.9668226Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_e2fc2e42dc5b1b53_.log 2024-04-03T16:55:57.9670717Z Running 3 items in this shard: test/test_type_info.py::TestDTypeInfo::test_finfo, test/test_type_info.py::TestDTypeInfo::test_iinfo, test/test_type_info.py::TestDTypeInfo::test_invalid_input 2024-04-03T16:55:57.9671770Z 2024-04-03T16:55:59.6544833Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:55:59.7127903Z Running test_cuda_sanitizer 1/1 ... [2024-04-03 16:55:59.712314] 2024-04-03T16:55:59.7132226Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cuda_sanitizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:55:59.712705] 2024-04-03T16:56:01.8446117Z 2024-04-03T16:56:01.8447961Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_536f0b1310d30e3f_.log 2024-04-03T16:56:01.8449145Z Running 0 items in this shard: 2024-04-03T16:56:01.8449411Z 2024-04-03T16:56:03.6711482Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:56:03.7287789Z Running lazy/test_generator 1/1 ... [2024-04-03 16:56:03.728281] 2024-04-03T16:56:03.7291248Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'lazy/test_generator.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:56:03.728670] 2024-04-03T16:56:06.6973787Z 2024-04-03T16:56:06.6976000Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_45c4a04bfd1383f2_.log 2024-04-03T16:56:06.6979529Z Running 2 items in this shard: test/lazy/test_generator.py::LazyGeneratorTest::test_generator, test/lazy/test_generator.py::LazyGeneratorTest::test_generator_causes_multiple_compiles 2024-04-03T16:56:06.6981496Z 2024-04-03T16:56:08.5505874Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:56:08.6086588Z Running nn/test_init 1/1 ... [2024-04-03 16:56:08.608204] 2024-04-03T16:56:08.6089082Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_init.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:56:08.608585] 2024-04-03T16:56:14.9338411Z 2024-04-03T16:56:14.9340500Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_fb76d7e3cd7e3555_.log 2024-04-03T16:56:14.9367140Z Running 30 items in this shard: test/nn/test_init.py::TestNNInit::test_calculate_gain_leaky_relu, test/nn/test_init.py::TestNNInit::test_calculate_gain_leaky_relu_only_accepts_numbers, test/nn/test_init.py::TestNNInit::test_calculate_gain_linear, test/nn/test_init.py::TestNNInit::test_calculate_gain_nonlinear, test/nn/test_init.py::TestNNInit::test_calculate_gain_only_accepts_valid_nonlinearities, test/nn/test_init.py::TestNNInit::test_constant, test/nn/test_init.py::TestNNInit::test_deprecation, test/nn/test_init.py::TestNNInit::test_dirac_identity, test/nn/test_init.py::TestNNInit::test_dirac_only_works_on_3_4_5d_inputs, test/nn/test_init.py::TestNNInit::test_dirac_properties, test/nn/test_init.py::TestNNInit::test_eye, test/nn/test_init.py::TestNNInit::test_eye_only_works_on_2d_inputs, test/nn/test_init.py::TestNNInit::test_kaiming_normal, test/nn/test_init.py::TestNNInit::test_kaiming_normal_errors_on_inputs_smaller_than_2d, test/nn/test_init.py::TestNNInit::test_kaiming_normal_warning_on_0element_tensor, test/nn/test_init.py::TestNNInit::test_kaiming_uniform, test/nn/test_init.py::TestNNInit::test_kaiming_uniform_errors_on_inputs_smaller_than_2d, test/nn/test_init.py::TestNNInit::test_kaiming_uniform_warning_on_0element_tensor, test/nn/test_init.py::TestNNInit::test_normal, test/nn/test_init.py::TestNNInit::test_ones_and_zeros, test/nn/test_init.py::TestNNInit::test_orthogonal, test/nn/test_init.py::TestNNInit::test_sparse_default_std, test/nn/test_init.py::TestNNInit::test_sparse_only_works_on_2d_inputs, test/nn/test_init.py::TestNNInit::test_trunc_normal, test/nn/test_init.py::TestNNInit::test_trunc_normal_generator, test/nn/test_init.py::TestNNInit::test_uniform, test/nn/test_init.py::TestNNInit::test_xavier_normal, test/nn/test_init.py::TestNNInit::test_xavier_normal_errors_on_inputs_smaller_than_2d, test/nn/test_init.py::TestNNInit::test_xavier_uniform, test/nn/test_init.py::TestNNInit::test_xavier_uniform_errors_on_inputs_smaller_than_2d 2024-04-03T16:56:14.9393554Z 2024-04-03T16:56:16.7828658Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:56:16.8707170Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2024-04-03 16:56:16.870275] 2024-04-03T16:56:16.8712228Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:56:16.870683] 2024-04-03T16:56:19.7897557Z 2024-04-03T16:56:19.7900267Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_b5157d787b57cbca_.log 2024-04-03T16:56:19.7988252Z Running 67 items in this shard: test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_assignment_value_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_list, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_onedim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_twodim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_shape_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broaderrors_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broken_sequence_not_nd_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index_2, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_fancy_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_tuple_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_everything_returns_views, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_array_to_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_negative_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_weird_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_memory_order, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_none_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_nontuple_ndindex, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reverse_strides_and_subspace_bufferinit, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reversed_strides_result_allocation, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_same_kind_index_casting, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_scalar_array_bool, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_bool_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_int_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_slicing_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_small_regressions, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_fancy_indices_special_case, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_not_possible, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_out_of_bounds, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_tuple_subclass, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_uncontiguous_subspace_assignment, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index0, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index1, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index2, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_subspace, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_index_is_larger, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepend_not_one, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepending_ones, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_simple_broadcasting_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFancyIndexingCast::test_boolean_index_cast_assign, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_1d, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_boolean, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_multidim, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_sequence_multiplication, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_reduce_axis_float_index, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_slicing, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_bool_as_int_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_fast_path, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_weirdness, test/torch_np/numpy_tests/core/test_indexing.py::TestArrayToIndexDeprecation::test_array_to_index_error, test/torch_np/numpy_tests/core/test_indexing.py::TestNonIntegerArrayLike::test_basic, test/torch_np/numpy_tests/core/test_indexing.py::TestMultipleEllipsisError::test_basic 2024-04-03T16:56:19.8044198Z 2024-04-03T16:56:21.3517939Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:56:21.4168847Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2024-04-03 16:56:21.416390] 2024-04-03T16:56:21.4173496Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:56:21.416874] 2024-04-03T16:56:24.4362842Z 2024-04-03T16:56:24.4364945Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_175f60cb1ff21036_.log 2024-04-03T16:56:24.4429372Z Running 119 items in this shard: test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_r1array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_r2array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array2, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_bad_out_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_exceptions, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_large_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_operator_concat, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_simple, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_3d, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_complicated, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_memory_order, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_mixed_1d_and_2d, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_simple_column_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_simple_row_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_total_size_estimate, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_column_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_multiple_rows, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_row_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_mismatched_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_different_ndims, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_different_ndims_depths, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_empty_lists, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_invalid_nesting, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_nested, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_no_lists, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_tuple 2024-04-03T16:56:24.4492439Z 2024-04-03T16:56:26.0400457Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T16:56:26.0983998Z Running functorch/test_aotdispatch 1/5 ... [2024-04-03 16:56:26.097901] 2024-04-03T16:56:26.0987585Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_aotdispatch.py', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 16:56:26.098330] 2024-04-03T17:04:32.1509000Z 2024-04-03T17:04:32.1511041Z functorch/test_ops 1/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.5_407edbaf0b145561_.log 2024-04-03T17:04:32.2807178Z Running 2002 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_data_write_errors_under_transform_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_l1_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_layer_norm_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_flatten_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_dsplit_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_unbind_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_real_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_special_grad_op_jvp_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unfold_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyExpMarkDirtyAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyMulAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ScaleGradGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmod___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__batch_norm_with_update_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__softmax_backward_data_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_amin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_arange_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atanh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_to_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cauchy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cfloat_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_chalf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_min_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_complex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_contiguous_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_copysign_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_corrcoef_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cummin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumsum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagflat_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_digamma_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dstack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_as_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftshift_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flatten_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flipud_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_power_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_floor_divide_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_frexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gradient_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogramdd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hstack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hypot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isclose_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_return_by_ref_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ldexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_le_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_det_singular_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_factor_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_power_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_or_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_argmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_logsumexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_median_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_std_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matmul_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_pool2d_with_indices_backward_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_maximum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_meshgrid_list_of_tensors_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_no_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ne_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_neg_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_full_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_alpha_dropout_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_bilinear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_no_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cosine_similarity_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_ctc_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_elu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bicubic_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bilinear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_linear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_nearest_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_layer_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_logsigmoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_margin_ranking_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool2d_grad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mse_loss_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_head_attention_forward_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_unfold_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_3_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_put_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randn_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_as_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resize__cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_roll_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_3_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rsub_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_short_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_short_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sigmoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_cosine_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_hamming_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_sampled_addmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_y1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_entr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_erfcx_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_i1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_unbiased_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sum_to_size_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_along_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_to_sparse_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapezoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_triangular_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unbind_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unflatten_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_unbiased_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vsplit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_xlogy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_det_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_det_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_nearest-exact_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ldexp_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_logsigmoid_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_randn_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_SortGenVmapAutogradFunction_cpu_float32 2024-04-03T17:04:32.3730244Z 2024-04-03T17:04:33.7076752Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:04:33.7656154Z Running functorch/test_aotdispatch 2/5 ... [2024-04-03 17:04:33.765186] 2024-04-03T17:04:33.7660271Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_aotdispatch.py', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 17:04:33.765608] 2024-04-03T17:14:27.6773415Z 2024-04-03T17:14:27.6775526Z functorch/test_aotdispatch 1/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.5_dee233388dc80f6d_.log 2024-04-03T17:14:27.7032719Z Running 327 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_complex_linear, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_embedding_bag_view_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_output_view_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nonidempotent_amp, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned_different_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_all_alias_types, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_op_depending_on_symint, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_subclass_metadata_mutation_req_grad_True, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_outdtype, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_with_torch_cond, test/functorch/test_aotdispatch.py::TestPartitioning::test_contiguous, test/functorch/test_aotdispatch.py::TestPartitioning::test_meta_tensor_inplace_op, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_incorrect_backward, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_inference, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_input_mutation, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_output_alias, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_simple, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_module_simplified, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_module_simplified_dynamic, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_lift_fresh_copy_in_graph, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_jacrev_cpu, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___getitem___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rpow___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rsub___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__segment_reduce_lengths_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_acos_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_aminmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_argwhere_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_asinh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atan_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atleast_3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cauchy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_clamp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cond_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_conj_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_conj_physical_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diag_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_dist_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nanquantile_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nansum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_new_empty_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_new_zeros_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_bilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_celu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pad_constant_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_prelu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_silu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_randn_like_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_remainder_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_reshape_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_round_decimals_0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_rsqrt_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_reduce_amin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_exponential_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_gaussian_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sinc_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_hermite_polynomial_he_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_log_ndtr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_modified_bessel_i0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_modified_bessel_i1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_modified_bessel_k0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_ndtri_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sub_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_svd_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_svd_lowrank_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_topk_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_trapezoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_tril_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unflatten_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unfold_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_var_mean_unbiased_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_vsplit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_AdaptiveMaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_CircularPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Conv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ConvTranspose1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ConvTranspose3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_CosineEmbeddingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_InstanceNorm1d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_InstanceNorm2d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LayerNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConv1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConvTranspose2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LogSigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Mish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MultiheadAttention_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNNCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNN_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReLU6_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReflectionPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_SELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Tanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Transformer_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ZeroPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveAvgPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AvgPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm3d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Bilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CircularPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConvTranspose2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Embedding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GRUCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GaussianNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Hardswish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LocalResponseNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiheadAttention_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiheadAttention_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_NLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_PoissonNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RMSNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReLU6_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softsign_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerEncoder_train_mode_cpu_float32 2024-04-03T17:14:27.7239786Z 2024-04-03T17:14:29.1557375Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:14:29.2129842Z Running test_meta 2/3 ... [2024-04-03 17:14:29.212645] 2024-04-03T17:14:29.2133158Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_meta.py', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 17:14:29.212978] 2024-04-03T17:14:55.5531179Z 2024-04-03T17:14:55.5533295Z functorch/test_aotdispatch 2/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_2.5_d7ea962e26fd0b8b_.log 2024-04-03T17:14:55.5786732Z Running 351 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_inplace_requires_grad_true, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_bases_out_of_order, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_requires_grad_detach, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_set__nop, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_simple_with_none_and_nontensor, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_output_view_simple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe_fake, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_multi_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mutates_input_noncontiguous, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_real_weights_in_symbolic_mode_with_inplace_ops, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_view_detach, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_functionalized_rng_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_module_joint, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_contiguous, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_with_autograd_op, 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test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_InstanceNorm3d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_L1Loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LPPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LSTM_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConv2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Linear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveAvgPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveMaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AvgPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm1d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm1d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm3d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CTCLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CircularPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CrossEntropyLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Hardshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_HingeEmbeddingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm1d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm2d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_KLDivLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_L1Loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConvTranspose1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LeakyReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MarginRankingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiLabelSoftMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_PReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReflectionPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Sigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_SmoothL1Loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerEncoderLayer_train_mode_cpu_float32 2024-04-03T17:14:55.6008244Z 2024-04-03T17:14:57.1129982Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:14:57.1717558Z Running test_meta 3/3 ... [2024-04-03 17:14:57.171284] 2024-04-03T17:14:57.1720705Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_meta.py', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 17:14:57.171677] 2024-04-03T17:22:32.4258692Z 2024-04-03T17:22:32.4260270Z test_meta 3/3 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_3.3_0d814b2260cb238b_.log 2024-04-03T17:22:33.0426022Z Running 12728 items in this shard: test/test_meta.py::TestMetaConverter::test_complex_noncontiguous_bug, test/test_meta.py::TestMetaConverter::test_leaf, test/test_meta.py::TestMetaConverter::test_non_leaf_torture, test/test_meta.py::TestMetaConverter::test_requires_grad_false, test/test_meta.py::TestMetaConverter::test_view_of_leaf, test/test_meta.py::TestMetaConverter::test_view_of_view_of_leaf, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask0_cpu, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask1_cpu, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rmul___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_add_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_div_no_rounding_mode_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_eq_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_float_power_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_floor_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_fmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_gt_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_hypot_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_igammac_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_maximum_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_minimum_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_true_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_add_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_clamp_max_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_clamp_min_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_div_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_div_trunc_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_fmod_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_gt_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_hypot_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_igamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_igammac_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_jiterator_binary_return_by_ref_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_ldexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_le_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_logical_and_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_minimum_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_mul_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_nextafter_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_polar_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_pow_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_remainder_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_rsub_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_chebyshev_polynomial_t_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_chebyshev_polynomial_u_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_true_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_xlogy_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmatmul___cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmatmul___cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmatmul___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmatmul___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmatmul___cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmod___cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmod___cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmul___cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmul___cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmul___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmul___cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmul___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmul___cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___ror___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___ror___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rpow___cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rpow___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rsub___cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rsub___cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rsub___cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rsub___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rxor___cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rxor___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rxor___cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__chunk_cat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__chunk_cat_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__chunk_cat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__chunk_cat_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_abs_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_abs_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_abs_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cdouble_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cdouble_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cdouble_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ceil_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_char_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_char_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_char_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cholesky_inverse_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cholesky_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cholesky_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cholesky_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_max_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_max_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_min_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_min_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_min_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_min_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_combinations_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_combinations_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_combinations_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_combinations_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_constant_pad_nd_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_constant_pad_nd_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_constant_pad_nd_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_contiguous_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_contiguous_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_contiguous_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_contiguous_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_copysign_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_copysign_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_copysign_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_copysign_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_copysign_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_corrcoef_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cos_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cos_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cos_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cosh_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cosh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cosh_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cosh_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_count_nonzero_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_count_nonzero_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_count_nonzero_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cov_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cov_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cov_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cov_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cov_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cross_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummax_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummin_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummin_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummin_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummin_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumprod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumprod_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dist_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_trunc_rounding_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_trunc_rounding_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_trunc_rounding_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dot_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_permuted_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_permuted_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_strided_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_strided_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_strided_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_strided_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eq_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eq_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eq_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eq_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eq_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eq_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_equal_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfinv_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfinv_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfinv_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfinv_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfinv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expm1_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expm1_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftshift_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftshift_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftshift_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cholesky_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cond_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cond_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cross_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cross_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_det_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_det_singular_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_diagonal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_diagonal_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_diagonal_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eig_cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_multi_dot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_multi_dot_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_multi_dot_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_multi_dot_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_multi_dot_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_norm_subgradients_at_zero_cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_unpack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amin_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amin_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmin_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_outplace_meshgrid_variadic_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_outplace_meshgrid_variadic_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_outplace_meshgrid_variadic_tensors_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_outplace_meshgrid_variadic_tensors_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_outplace_meshgrid_variadic_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_outplace_min_binary_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_outplace_min_binary_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_outplace_min_binary_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_outplace_min_reduction_no_dim_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_outplace_min_reduction_no_dim_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_unsafe_split_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_unsqueeze_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_unsqueeze_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_unsqueeze_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_unsqueeze_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_unsqueeze_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_unsqueeze_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_unsqueeze_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_unsqueeze_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_var_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_var_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_var_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_var_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_var_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_var_mean_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_var_unbiased_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vdot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vdot_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vdot_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vdot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_view_as_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_view_as_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_view_as_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_view_as_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_view_as_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_view_as_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_view_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_view_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_view_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_view_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_view_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vsplit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vsplit_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vsplit_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vsplit_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vstack_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vstack_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vstack_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_vstack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_xlogy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_xlogy_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_xlogy_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zero__cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zero__cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zero__cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zero__cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zero__cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zero__cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zero__cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zeros_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zeros_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zeros_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zeros_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zeros_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zeros_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zeros_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zeros_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_symbolic_meta_outplace_zeros_like_cpu_int32, test/test_meta.py::TestMetaCPU::test_embedding_bag_byte_prepack_cpu, test/test_meta.py::TestMetaCPU::test_group_norm_backward_output_mask5_cpu, test/test_meta.py::TestMetaCPU::test_huber_loss_backward_cpu, test/test_meta.py::TestMetaCPU::test_index_select_out_cpu, 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test/test_meta.py::TestMetaCPU::test_meta_inplace__chunk_cat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__chunk_cat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__chunk_cat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_abs_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_abs_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_abs_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_abs_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_acos_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_add_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_add_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_add_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_add_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_add_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_asin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_atan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_atan_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_atan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_ceil_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_clamp_max_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_clamp_max_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_clamp_max_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_clamp_max_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_clamp_max_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_clamp_min_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_cos_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_cos_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_div_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_div_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_div_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_div_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_div_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_erf_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_minimum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_minimum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_minimum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_minimum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_norm_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sqrt_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_trunc_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_lengths_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_offsets_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__softmax_backward_data_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__upsample_bilinear2d_aa_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcdiv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcdiv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcdiv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_left_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_left_shift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_shapes_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdist_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdist_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_complex_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exponential_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exponential_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svd_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svd_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svd_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svdvals_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svdvals_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorsolve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorsolve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorsolve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_normal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logdet_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logdet_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logdet_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_unpack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_unpack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logaddexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_matrix_exp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_pool2d_with_indices_backward_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_alpha_dropout_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_alpha_dropout_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool1d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_batch_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_bilinear_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_bilinear_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_celu_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_interpolate_trilinear_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_kl_div_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_l1_loss_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_layer_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_leaky_relu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_leaky_relu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_linear_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_linear_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_linear_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_nll_loss_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_one_hot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pad_circular_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pad_circular_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pad_circular_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pad_circular_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pad_constant_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pad_constant_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pairwise_distance_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pairwise_distance_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pairwise_distance_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pdist_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pixel_shuffle_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pixel_shuffle_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pixel_shuffle_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pixel_unshuffle_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pixel_unshuffle_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pixel_unshuffle_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_poisson_nll_loss_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_poisson_nll_loss_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_prelu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_prelu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_relu6_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_relu6_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_relu6_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_relu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_relu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_relu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_relu_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_rms_norm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_rms_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_rrelu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_selu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_selu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_silu_complex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_silu_complex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_silu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_silu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_silu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_smooth_l1_loss_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_smooth_l1_loss_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_soft_margin_loss_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_soft_margin_loss_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_softmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_softmin_with_dtype_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_softmin_with_dtype_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_softmin_with_dtype_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_softmin_with_dtype_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_softplus_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_softshrink_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_softsign_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_softsign_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_tanhshrink_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_tanhshrink_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_threshold_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_threshold_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_triplet_margin_loss_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_triplet_margin_loss_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_triplet_margin_loss_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_triplet_margin_loss_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_unfold_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_upsample_bilinear_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_upsample_bilinear_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_upsample_bilinear_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_upsample_nearest_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_upsample_nearest_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_upsample_nearest_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_static_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_static_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_static_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_static_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_static_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_fro_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_fro_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_inf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_inf_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_inf_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_normal_number_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_like_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ormqr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_outer_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_outer_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_pinverse_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_pinverse_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polar_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_qr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_qr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_0_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_0_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_3_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_3_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_3_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_neg_3_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_mean_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_mean_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_mean_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_sum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_sum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_short_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_short_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_short_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_short_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_triangular_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_indices_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_indices_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_uniform_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_real_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_real_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_vsplit_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_vstack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_vstack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vstack_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_vstack_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_where_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_where_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_where_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_like_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_like_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_H_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_H_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_H_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_T_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_T_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_T_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_T_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_T_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_T_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_T_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace___getitem___cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace___getitem___cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace___getitem___cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace___getitem___cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace___radd___cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace___radd___cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace___rand___cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace___rand___cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace___rand___cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace___rdiv___cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_meta_outplace___ror___cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace___ror___cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace___ror___cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace___rpow___cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace___rpow___cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace___rpow___cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace___rpow___cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace___rsub___cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace___rsub___cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace___rsub___cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace___rxor___cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace__batch_norm_with_update_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__batch_norm_with_update_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__chunk_cat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__chunk_cat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace__chunk_cat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_abs_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_abs_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_add_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_add_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_add_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_add_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcdiv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcdiv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcdiv_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcdiv_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcdiv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcmul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcmul_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcmul_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_asin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_atan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_ceil_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_ceil_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_clamp_max_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_clamp_max_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_clamp_max_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_clamp_min_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_cos_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_cosh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_div_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_div_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_div_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_div_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_erf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_erfc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_erfc_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_erfc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_exp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_exp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_expm1_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_expm1_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_floor_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_frac_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_lerp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_lerp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_lerp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_lerp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_lgamma_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_lgamma_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_lgamma_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_log10_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_log10_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_log1p_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_log2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_log2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_log_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_log_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_sqrt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_sqrt_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_sub_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_sub_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_tan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_tan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_trunc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_trunc_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_trunc_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_trunc_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_trunc_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_zero_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcdiv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bincount_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cauchy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cauchy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdist_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_inverse_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_max_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_max_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_max_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_max_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_complex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_corrcoef_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_corrcoef_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_corrcoef_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_corrcoef_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_corrcoef_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_corrcoef_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_corrcoef_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cov_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cov_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cov_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cov_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cross_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cross_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cross_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumprod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumprod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumprod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumprod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumsum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumulative_trapezoid_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumulative_trapezoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_deg2rad_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_deg2rad_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_deg2rad_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_deg2rad_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_deg2rad_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_embed_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_embed_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_embed_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagflat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagflat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagflat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagflat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagflat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diff_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diff_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_digamma_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_digamma_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_digamma_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_digamma_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_digamma_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_dist_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dist_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_trunc_rounding_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_trunc_rounding_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_trunc_rounding_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_trunc_rounding_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_dot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_like_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_permuted_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_permuted_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_permuted_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_permuted_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_permuted_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_strided_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_strided_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_equal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_equal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_equal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_equal_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_equal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_erf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_erf_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_erf_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_erf_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_erfc_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_erfinv_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_exp2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_exp2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_exp2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_exp2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_exp2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_expand_as_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_expand_as_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_expand_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_expand_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_expand_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_expand_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_expand_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_expand_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_expm1_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_expm1_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_exponential_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fftshift_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fftshift_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_hfft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_hfft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_hfft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_hfft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_hfftn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_hfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifftshift_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifftshift_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifftshift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifftshift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ifftshift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ihfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ihfftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ihfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_ihfftn_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_ldl_factor_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_ldl_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lstsq_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lstsq_grad_oriented_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lstsq_grad_oriented_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lstsq_grad_oriented_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_factor_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_factor_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_solve_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_gaussian_nll_loss_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_glu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_group_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardshrink_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardshrink_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardsigmoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardsigmoid_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardswish_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardswish_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardtanh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardtanh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardtanh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hinge_embedding_loss_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_interpolate_area_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_interpolate_area_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_interpolate_bicubic_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_interpolate_bilinear_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_interpolate_linear_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_interpolate_linear_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_interpolate_nearest-exact_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_constant_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_constant_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_reflect_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_reflect_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_reflect_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_reflect_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_replicate_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_replicate_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_replicate_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_replicate_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_replicate_negative_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_replicate_negative_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_replicate_negative_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pairwise_distance_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pairwise_distance_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pairwise_distance_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pdist_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_shuffle_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_shuffle_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_shuffle_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_unshuffle_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_unshuffle_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_unshuffle_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_unshuffle_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_unshuffle_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_unshuffle_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_unshuffle_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_unshuffle_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_poisson_nll_loss_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_poisson_nll_loss_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_poisson_nll_loss_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_poisson_nll_loss_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_relu6_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_relu6_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_relu6_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_relu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_relu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_relu_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_rms_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_rms_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_rrelu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_rrelu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_selu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_silu_complex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_silu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_smooth_l1_loss_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_soft_margin_loss_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_soft_margin_loss_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_softmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_softmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_softmin_with_dtype_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_softmin_with_dtype_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_softplus_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_softplus_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_softshrink_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_softsign_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_softsign_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_softsign_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_softsign_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_tanhshrink_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_tanhshrink_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_tanhshrink_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_tanhshrink_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_tanhshrink_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_threshold_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_threshold_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_threshold_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_threshold_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_threshold_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_triplet_margin_loss_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_triplet_margin_loss_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_triplet_margin_loss_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_triplet_margin_loss_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_triplet_margin_loss_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_unfold_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_unfold_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_upsample_bilinear_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_upsample_nearest_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_upsample_nearest_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_upsample_nearest_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nonzero_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nonzero_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nonzero_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nonzero_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nonzero_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nonzero_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nonzero_static_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nonzero_static_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nonzero_static_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nonzero_static_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_norm_fro_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_norm_inf_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_norm_inf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_norm_nuc_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_normal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_normal_in_place_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_normal_in_place_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_normal_in_place_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_normal_number_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_normal_number_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_ones_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_ones_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_ones_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_ones_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_ones_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_ormqr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_ormqr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_outer_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_outer_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_outer_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_outer_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_pca_lowrank_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_pca_lowrank_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_permute_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_permute_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_permute_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_permute_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_pinverse_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_pinverse_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_polar_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_0_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_0_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_0_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_0_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_1_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_1_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_1_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_3_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_3_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_3_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_4_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_4_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_polygamma_polygamma_n_4_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_positive_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_positive_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_positive_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_pow_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_pow_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_pow_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_put_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_put_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_put_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_put_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_put_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_qr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_qr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_quantile_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_rad2deg_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_rad2deg_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_rad2deg_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_rad2deg_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_rand_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_rand_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_randint_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_randint_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_randint_like_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_randint_like_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_randint_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_randint_like_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_randn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_randn_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_randn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_randn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_randn_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_randn_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_randn_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_ravel_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_ravel_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_reshape_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_reshape_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_reshape_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_reshape_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_reshape_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_reshape_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_resize__cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_resize__cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_resize__cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_resize__cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_resize_as__cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_resize_as__cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_resize_as__cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_split_list_args_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_list_args_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_list_args_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_sqrt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_sqrt_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sqrt_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_square_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_square_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_square_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_square_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_square_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_squeeze_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_squeeze_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_squeeze_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_squeeze_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_squeeze_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_squeeze_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_squeeze_multiple_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_squeeze_multiple_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_squeeze_multiple_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_stack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_stack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_stack_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_stack_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_std_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_std_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_std_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_std_mean_unbiased_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_std_mean_unbiased_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_std_mean_unbiased_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_std_unbiased_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_stft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_sub_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sub_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_to_size_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_to_size_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_to_size_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_to_size_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_svd_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_svd_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_along_dim_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_along_dim_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_along_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_along_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_along_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_along_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_along_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_along_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_along_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensor_split_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensor_split_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensor_split_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensor_split_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensor_split_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensordot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensordot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensordot_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_topk_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_topk_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_trace_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_trace_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_trace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_trace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapezoid_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapezoid_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapezoid_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapezoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapezoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapz_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapz_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapz_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapz_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapz_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapz_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_triangular_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_triangular_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_triangular_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tril_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_tril_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tril_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_triu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_triu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_triu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_triu_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_triu_indices_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_triu_indices_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_true_divide_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_true_divide_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_true_divide_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_true_divide_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_true_divide_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_trunc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_trunc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unflatten_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unflatten_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unflatten_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unravel_index_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unravel_index_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_complex_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_complex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_nan_to_num_cpu, test/test_meta.py::TestMetaCPU::test_quantized_embedding_bag_cpu 2024-04-03T17:22:33.8291305Z 2024-04-03T17:22:34.0600185Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:22:34.1188180Z Running optim/test_optim 1/1 ... [2024-04-03 17:22:34.118453] 2024-04-03T17:22:34.1192097Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'optim/test_optim.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 17:22:34.118804] 2024-04-03T17:22:35.5911124Z 2024-04-03T17:22:35.5912624Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_94f1ded8dcf80edc_.log 2024-04-03T17:22:35.5913691Z 2024-04-03T17:22:37.1300085Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:22:37.1879738Z Running lazy/test_bindings 1/1 ... [2024-04-03 17:22:37.187580] 2024-04-03T17:22:37.1882888Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'lazy/test_bindings.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 17:22:37.187957] 2024-04-03T17:22:38.3978967Z 2024-04-03T17:22:38.3980593Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_c334659dd55f4c19_.log 2024-04-03T17:22:38.3981513Z 2024-04-03T17:22:39.9140726Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:22:39.9719076Z Running test_quantization 2/2 ... [2024-04-03 17:22:39.971540] 2024-04-03T17:22:39.9722134Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_quantization.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-04-03 17:22:39.971892] 2024-04-03T17:22:42.4151010Z 2024-04-03T17:22:42.4152596Z test_meta 2/3 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_2.3_b9cba404e97fb28e_.log 2024-04-03T17:22:43.0158404Z Running 12453 items in this shard: test/test_meta.py::TestMetaConverter::test_empty_strided_non_dense_leaf, test/test_meta.py::TestMetaConverter::test_imag, test/test_meta.py::TestMetaConverter::test_tensor_outlives_converter, test/test_meta.py::TestMetaConverter::test_view_as_complex, test/test_meta.py::TestMetaConverter::test_view_as_real, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask3_cpu, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rdiv___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rmod___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs__conversions_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs__conversions_polar_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_atan2_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_clamp_max_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_clamp_min_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_copysign_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_div_trunc_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_fmod_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_ge_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_isclose_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_le_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ceil_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ceil_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ceil_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_complex32, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_max_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_max_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_max_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_max_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_min_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_min_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_combinations_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_combinations_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_combinations_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_combinations_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_combinations_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_complex_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_complex_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_constant_pad_nd_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cross_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummax_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummax_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummax_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummin_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumprod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumprod_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumprod_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumprod_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumprod_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumprod_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumprod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dist_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dist_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dist_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dist_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dist_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_trunc_rounding_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_trunc_rounding_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_trunc_rounding_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dot_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dot_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dot_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dot_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_like_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_like_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_like_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_permuted_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_permuted_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_permuted_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_permuted_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_equal_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_equal_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_equal_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_equal_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_equal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfinv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfinv_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfinv_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfinv_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expm1_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expm1_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expm1_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expm1_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expm1_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expm1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exponential_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exponential_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exponential_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftshift_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftshift_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftshift_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftshift_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftshift_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfft_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfft_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfft_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_irfft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_irfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_irfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_irfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_irfft2_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_tensor_overload_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_tensor_overload_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_tensor_overload_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_tensor_overload_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_tensor_overload_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log10_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log10_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log10_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp2_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amin_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amin_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmin_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_fill_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_fill_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_log_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_log_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_logsumexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_logsumexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_mean_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_mean_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_mean_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_normalize_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_normalize_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_select_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_select_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_select_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_select_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_select_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_softmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_var_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_var_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_var_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_var_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matmul_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matmul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matmul_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matmul_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matmul_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matmul_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matrix_exp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matrix_exp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matrix_exp_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_binary_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_binary_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_binary_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_binary_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_binary_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_no_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_no_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_no_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_with_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_with_dim_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_with_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_with_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_with_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_median_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_median_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_median_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_binary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_binary_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_binary_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_binary_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_binary_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_binary_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_reduction_no_dim_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_reduction_no_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_reduction_with_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_reduction_with_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_minimum_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_minimum_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_minimum_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mm_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mode_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mode_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mode_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mode_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_pad_replicate_negative_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_pairwise_distance_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_pairwise_distance_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_pairwise_distance_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_pairwise_distance_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_prelu_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_prelu_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_relu6_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_relu6_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_relu6_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_softmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_softplus_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_softplus_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_softshrink_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_softshrink_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_softsign_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_unfold_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_upsample_bilinear_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_upsample_nearest_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_upsample_nearest_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_upsample_nearest_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nonzero_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nonzero_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nonzero_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_polygamma_polygamma_n_1_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_polygamma_polygamma_n_1_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_polygamma_polygamma_n_2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_polygamma_polygamma_n_2_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_polygamma_polygamma_n_2_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_polygamma_polygamma_n_3_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_polygamma_polygamma_n_4_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_polygamma_polygamma_n_4_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_polygamma_polygamma_n_4_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_polygamma_polygamma_n_4_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_positive_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_positive_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_positive_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_pow_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_pow_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_pow_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_pow_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_pow_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_prod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_put_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_put_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_quantile_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_rad2deg_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_rad2deg_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_rad2deg_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_rand_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_rand_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_randint_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_randint_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_randint_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_reciprocal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_remainder_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_remainder_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_renorm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_repeat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_repeat_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_repeat_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_repeat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_repeat_interleave_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_repeat_interleave_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_repeat_interleave_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_repeat_interleave_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_repeat_interleave_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_reshape_as_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_reshape_as_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_reshape_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_reshape_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_reshape_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_reshape_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_reshape_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_reshape_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_reshape_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_resize__cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_resize__cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcdiv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcdiv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcdiv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_int32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cauchy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_exponential_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_frac_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_frac_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_like_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_like_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_gather_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_gather_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_gather_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_gather_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_gather_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_gather_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_gcd_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ge_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_ge_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ge_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_geometric_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_geometric_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_geqrf_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_geqrf_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_gradient_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_gradient_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_gradient_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_gradient_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_gradient_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_gradient_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_grid_sampler_2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_gt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_gt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_gt_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_gt_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_gt_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_gt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_half_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_half_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_heaviside_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_histc_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_histogram_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_histogramdd_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_hsplit_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_hsplit_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_hsplit_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_hsplit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_hsplit_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_hsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_hstack_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_hstack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_hypot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_hypot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_i0_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_i0_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_i0_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_i0_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_i0_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_i0_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_igamma_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_igammac_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_igammac_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_imag_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_imag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_add_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_add_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_add_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_add_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_fill_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_fill_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_fill_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_fill_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_fill_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_fill_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_put_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_put_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_put_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_put_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_put_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_reduce_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_reduce_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_reduce_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_select_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_select_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_select_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_select_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_select_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_select_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_inner_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_inner_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_inner_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_inner_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_int_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_int_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_int_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_int_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_int_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_int_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_int_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_isclose_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_isclose_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_isfinite_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_isfinite_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_isfinite_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_isfinite_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_isin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_isin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_isin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_isinf_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_isinf_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_isinf_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_isinf_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_isnan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_isnan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_isnan_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_isnan_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_isnan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_isneginf_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_isposinf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_isposinf_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_isposinf_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_isposinf_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_isreal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_isreal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_isreal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_isreal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_isreal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_istft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_istft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_item_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_item_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_2inputs_2outputs_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_2inputs_2outputs_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_2inputs_2outputs_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_4inputs_with_extra_args_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_4inputs_with_extra_args_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_binary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_binary_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_binary_return_by_ref_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_binary_return_by_ref_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_unary_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_unary_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_unary_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_unary_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_kthvalue_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_kthvalue_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_kthvalue_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_le_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_le_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_le_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_le_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_le_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lerp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lerp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lerp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cholesky_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cholesky_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cond_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cross_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cross_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cross_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cross_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_det_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_det_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_det_singular_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eig_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eig_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eig_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eig_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigvalsh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigvalsh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_householder_product_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_householder_product_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_inv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_inv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_inv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_inv_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_factor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_factor_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_factor_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lstsq_grad_oriented_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_power_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_power_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_power_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_rank_hermitian_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_pinv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_pinv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_pinv_singular_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_slogdet_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_slogdet_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_triangular_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_triangular_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svdvals_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorinv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorinv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorinv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorinv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorsolve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_normal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_normal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logcumsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logcumsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logcumsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logdet_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_log_softmax_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_matrix_exp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_matrix_exp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_alpha_dropout_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_alpha_dropout_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool1d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool3d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_batch_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_batch_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_bilinear_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_bilinear_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_bilinear_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_binary_cross_entropy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_celu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_celu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_celu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv1d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv1d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv1d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv3d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv3d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv_transpose1d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv_transpose2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv_transpose3d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv_transpose3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv_transpose3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv_transpose3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv_transpose3d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_cosine_embedding_loss_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_cosine_embedding_loss_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_cosine_embedding_loss_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_cosine_embedding_loss_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_cosine_embedding_loss_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_dropout2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_dropout3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_dropout_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_dropout_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_dropout_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_elu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_embedding_bag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_embedding_bag_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_embedding_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_embedding_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_embedding_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_fractional_max_pool3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_fractional_max_pool3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_gaussian_nll_loss_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_gaussian_nll_loss_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_gelu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_gelu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_group_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_group_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_hardshrink_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_hardshrink_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_hardswish_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_hardtanh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_hardtanh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_hardtanh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_hinge_embedding_loss_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_huber_loss_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_huber_loss_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_instance_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_instance_norm_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_interpolate_nearest_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_interpolate_nearest_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_interpolate_trilinear_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_interpolate_trilinear_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_kl_div_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_kl_div_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_l1_loss_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_l1_loss_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_l1_loss_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_layer_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_leaky_relu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_linear_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_linear_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_linear_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_local_response_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_logsigmoid_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_margin_ranking_loss_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_margin_ranking_loss_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_margin_ranking_loss_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_margin_ranking_loss_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool1d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool2d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool2d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool3d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool3d_cpu_int32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pad_replicate_negative_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pad_replicate_negative_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pad_replicate_negative_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pairwise_distance_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pairwise_distance_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pairwise_distance_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pixel_shuffle_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pixel_shuffle_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_pixel_unshuffle_cpu_bool, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_neg_3_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amin_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_sum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_short_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_short_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sign_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sign_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sign_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sign_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sign_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_blackman_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_exponential_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_gaussian_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_gaussian_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_general_cosine_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_general_cosine_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_general_hamming_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_hamming_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_hann_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_nuttall_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_nuttall_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_signbit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_signbit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_signbit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_signbit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_sin_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_sin_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinc_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinc_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinc_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinc_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinc_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_softmax_with_dtype_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_softmax_with_dtype_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_softmax_with_dtype_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_softmax_with_dtype_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sort_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sort_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sort_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sort_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sparse_sampled_addmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_airy_ai_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_bessel_j0_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_bessel_j0_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_bessel_j1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_bessel_y0_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_bessel_y0_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_bessel_y0_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_bessel_y0_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_bessel_y1_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_bessel_y1_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_bessel_y1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_chebyshev_polynomial_t_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_chebyshev_polynomial_u_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_chebyshev_polynomial_u_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_chebyshev_polynomial_v_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_chebyshev_polynomial_v_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_chebyshev_polynomial_v_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_entr_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_entr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_entr_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_erfcx_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_erfcx_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_erfcx_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_hermite_polynomial_h_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_hermite_polynomial_h_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_hermite_polynomial_h_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_hermite_polynomial_he_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_hermite_polynomial_he_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_hermite_polynomial_he_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_hermite_polynomial_he_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_i0e_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_i0e_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_i0e_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_i0e_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_i1_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_i1e_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_i1e_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_legendre_polynomial_p_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_legendre_polynomial_p_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_log_ndtr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_log_ndtr_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_modified_bessel_i0_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_modified_bessel_i0_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_modified_bessel_i1_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_modified_bessel_i1_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_modified_bessel_i1_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_modified_bessel_k0_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_modified_bessel_k0_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_modified_bessel_k0_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_modified_bessel_k1_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_modified_bessel_k1_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_modified_bessel_k1_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_special_scaled_modified_bessel_k1_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_scaled_modified_bessel_k1_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_shifted_chebyshev_polynomial_u_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_shifted_chebyshev_polynomial_u_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_shifted_chebyshev_polynomial_u_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_shifted_chebyshev_polynomial_v_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_spherical_bessel_j0_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_spherical_bessel_j0_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_xlog1py_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_xlog1py_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_zeta_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_zeta_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_zeta_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_zeta_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_special_zeta_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_split_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_uniform_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_uniform_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bincount_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bincount_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bincount_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cauchy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_inverse_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_inverse_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_inverse_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_max_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_max_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_max_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_corrcoef_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_corrcoef_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_corrcoef_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cov_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cov_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cov_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cov_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cross_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cross_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cross_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cross_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cross_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cross_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cummin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumprod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumprod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumprod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumulative_trapezoid_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumulative_trapezoid_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumulative_trapezoid_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumulative_trapezoid_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_deg2rad_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_deg2rad_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_deg2rad_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_embed_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_embed_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_embed_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_embed_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_embed_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_embed_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagflat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagflat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagflat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_diff_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diff_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_diff_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diff_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diff_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diff_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_digamma_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_digamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dist_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_trunc_rounding_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_dot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_dot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dot_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_dot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_like_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_like_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_index_select_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_inner_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_int_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_isclose_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_isclose_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_isclose_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_isclose_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_isclose_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_isin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_isin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_isinf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_isinf_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_isnan_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_isnan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_isnan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_isnan_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_isnan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_isnan_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_isneginf_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_isneginf_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_isneginf_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_isposinf_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_isposinf_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_isposinf_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_isreal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_isreal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_isreal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_isreal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_istft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_istft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_item_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_item_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_item_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_item_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_item_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_2inputs_2outputs_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_return_by_ref_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_return_by_ref_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_return_by_ref_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_return_by_ref_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_unary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_unary_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_unary_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_ldexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_ldexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_le_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_lerp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lgamma_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_lgamma_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lgamma_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_lgamma_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_lgamma_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lgamma_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_lgamma_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_cholesky_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_cond_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_cross_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_pinv_hermitian_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_pinv_hermitian_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_pinv_singular_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_pinv_singular_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_slogdet_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_triangular_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_svd_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_svdvals_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_tensorsolve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vander_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vander_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vander_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vander_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vander_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vector_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_tensor_overload_cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_log1p_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_log1p_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_log2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_log2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_int32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_log_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logaddexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_mean_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_mean_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_median_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_normalize_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_var_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_var_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_var_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_matrix_exp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_matrix_exp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_binary_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_no_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_no_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_with_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_with_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_with_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_with_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_maximum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_maximum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_maximum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_maximum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_binary_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_binary_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_no_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_no_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_with_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_with_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_with_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_with_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_with_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_msort_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_multinomial_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nan_to_num_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_nan_to_num_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nanmean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nanmedian_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nanmedian_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nanquantile_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nansum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nansum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nansum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nansum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nansum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_native_batch_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_native_batch_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_native_dropout_backward_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_native_dropout_backward_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_native_dropout_backward_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_native_dropout_backward_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_native_dropout_backward_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_native_layer_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_ne_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_ne_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_neg_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_neg_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_strided_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_strided_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_strided_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_strided_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_strided_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_full_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_full_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_full_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_full_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_full_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_ones_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_ones_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_ones_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_ones_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_ones_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_ones_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_zeros_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_zeros_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_zeros_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_zeros_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_zeros_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_zeros_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nextafter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_avg_pool1d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_avg_pool2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_avg_pool2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_avg_pool2d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_avg_pool3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_batch_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_batch_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_batch_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_bilinear_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_bilinear_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_celu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_celu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv1d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv2d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv2d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv2d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv3d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv3d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv_transpose1d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv_transpose1d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv_transpose1d_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_dropout2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_dropout2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_dropout3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_dropout3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_dropout_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_elu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_elu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_elu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_embedding_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_special_laguerre_polynomial_l_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_legendre_polynomial_p_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_legendre_polynomial_p_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_legendre_polynomial_p_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_log_ndtr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_log_ndtr_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_log_ndtr_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_log_ndtr_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_modified_bessel_i0_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_modified_bessel_i1_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_modified_bessel_i1_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_modified_bessel_i1_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_modified_bessel_i1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_modified_bessel_k1_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_modified_bessel_k1_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_modified_bessel_k1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_ndtr_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_ndtr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_ndtri_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_ndtri_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_ndtri_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_scaled_modified_bessel_k0_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_scaled_modified_bessel_k0_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_scaled_modified_bessel_k1_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_scaled_modified_bessel_k1_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_scaled_modified_bessel_k1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_shifted_chebyshev_polynomial_t_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_shifted_chebyshev_polynomial_u_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_shifted_chebyshev_polynomial_v_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_shifted_chebyshev_polynomial_v_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_shifted_chebyshev_polynomial_w_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_shifted_chebyshev_polynomial_w_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_spherical_bessel_j0_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_spherical_bessel_j0_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_spherical_bessel_j0_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_xlog1py_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_xlog1py_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_xlog1py_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_xlog1py_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_xlog1py_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_zeta_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_special_zeta_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_split_with_sizes_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sqrt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sqrt_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sqrt_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sqrt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_square_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensor_split_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensor_split_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensor_split_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensor_split_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensordot_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensordot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensordot_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensordot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_topk_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_topk_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_topk_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_topk_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_topk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_trace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_trace_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_real_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_uint8 2024-04-03T17:22:43.5919919Z 2024-04-03T17:22:43.9164196Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:29:31.1340420Z 2024-04-03T17:29:31.1342520Z test_quantization 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_2.2_4e38e39384b576c0_.log 2024-04-03T17:29:31.1689288Z Running 595 items in this shard: test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool, test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool3d_ndhwc, test/test_quantization.py::TestQuantizedOps::test_add_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_advanced_indexing, test/test_quantization.py::TestQuantizedOps::test_avg_pool2d, test/test_quantization.py::TestQuantizedOps::test_avg_pool3d, test/test_quantization.py::TestQuantizedOps::test_avg_pool3d_nhwc, test/test_quantization.py::TestQuantizedOps::test_batch_norm, test/test_quantization.py::TestQuantizedOps::test_cat, test/test_quantization.py::TestQuantizedOps::test_custom_module_lstm, test/test_quantization.py::TestQuantizedOps::test_custom_module_multi_head_attention, test/test_quantization.py::TestQuantizedOps::test_empty_batch, test/test_quantization.py::TestQuantizedOps::test_hardswish, test/test_quantization.py::TestQuantizedOps::test_hardtanh, test/test_quantization.py::TestQuantizedOps::test_instance_norm, test/test_quantization.py::TestQuantizedOps::test_interpolate3d, test/test_quantization.py::TestQuantizedOps::test_leaky_relu, test/test_quantization.py::TestQuantizedOps::test_linear_bias_unpack, test/test_quantization.py::TestQuantizedOps::test_max_pool1d, test/test_quantization.py::TestQuantizedOps::test_max_pool2d, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_mean, test/test_quantization.py::TestQuantizedOps::test_qadd_broadcast, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn_nhwc, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_different_qparams, test/test_quantization.py::TestQuantizedOps::test_qcelu, test/test_quantization.py::TestQuantizedOps::test_qclamp, test/test_quantization.py::TestQuantizedOps::test_qelu, test/test_quantization.py::TestQuantizedOps::test_qgelu, test/test_quantization.py::TestQuantizedOps::test_qmatmul, test/test_quantization.py::TestQuantizedOps::test_qmul_broadcast, test/test_quantization.py::TestQuantizedOps::test_qprelu, test/test_quantization.py::TestQuantizedOps::test_qrelu6, test/test_quantization.py::TestQuantizedOps::test_qsoftmax, test/test_quantization.py::TestQuantizedOps::test_qtanh, test/test_quantization.py::TestQuantizedOps::test_qthreshold, test/test_quantization.py::TestQuantizedOps::test_qtopk, test/test_quantization.py::TestQuantizedOps::test_std, test/test_quantization.py::TestQNNPackOps::test_hardtanh, test/test_quantization.py::TestQNNPackOps::test_mean, test/test_quantization.py::TestQNNPackOps::test_qnnpack_add, test/test_quantization.py::TestQNNPackOps::test_qnnpack_mul, test/test_quantization.py::TestQNNPackOps::test_qnnpack_relu, test/test_quantization.py::TestQNNPackOps::test_qnnpack_tanh, test/test_quantization.py::TestQuantizedLinear::test_qlinear, test/test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_linear_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_qnnpack_free_memory_and_unpack, test/test_quantization.py::TestQuantizedLinear::test_qlinear_tanh, test/test_quantization.py::TestQuantizedConv::test_conv_transpose_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_qconv1d, test/test_quantization.py::TestQuantizedConv::test_qconv1d_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv2d_add, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_silu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv3d, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose3d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv3d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose2d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose3d, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear, test/test_quantization.py::TestDynamicQuantizedOps::test_qlstmGRU, test/test_quantization.py::TestDynamicQuantizedOps::test_qrnncell, test/test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_linear_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_pack_gemm_matrix_fp16_pt2_compliant, test/test_quantization.py::TestComparatorOps::test_compare_tensor_scalar, test/test_quantization.py::TestPadding::test_reflection_pad1d, test/test_quantization.py::TestPadding::test_reflection_pad2d, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_2d_indices, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2bit, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2bit_unpack, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_4bit_unpack, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_byte, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_byte_unpack, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv2d_api, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv3d_api, test/test_quantization.py::TestQuantizedFunctionalOps::test_grid_sample, test/test_quantization.py::TestQuantizedFunctionalOps::test_relu_api, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_channel_affine_scale_dtypes, test/test_quantization.py::TestFakeQuantizeOps::test_fixed_qparams_fq_module, test/test_quantization.py::TestFakeQuantizeOps::test_forward_backward_per_tensor_with_amp, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_channel_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_channel_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_numerical_consistency_per_channel, test/test_quantization.py::TestFakeQuantizeOps::test_numerical_consistency_per_tensor, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg, test/test_quantization.py::TestQuantizedTensor::test_choose_qparams_optimized, test/test_quantization.py::TestQuantizedTensor::test_clone, test/test_quantization.py::TestQuantizedTensor::test_compare_per_channel_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_compare_per_tensor_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_cuda_quantization_does_not_pin_memory, test/test_quantization.py::TestQuantizedTensor::test_decomposed_dequantize_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor_bfloat16_input, test/test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cpu, test/test_quantization.py::TestQuantizedTensor::test_jit_serialization, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cpu, test/test_quantization.py::TestQuantizedTensor::test_per_channel_to_device, test/test_quantization.py::TestQuantizedTensor::test_per_tensor_qtensor_to_memory_format, test/test_quantization.py::TestQuantizedTensor::test_qscheme_pickle, test/test_quantization.py::TestQuantizedTensor::test_qtensor_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_creation, test/test_quantization.py::TestQuantizedTensor::test_qtensor_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_dtypes, test/test_quantization.py::TestQuantizedTensor::test_qtensor_equal, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_channel_nhwc, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor_nhwc, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_int_repr, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_load_save, test/test_quantization.py::TestQuantizedTensor::test_qtensor_permute, test/test_quantization.py::TestQuantizedTensor::test_qtensor_quant_dequant, test/test_quantization.py::TestQuantizedTensor::test_qtensor_resize, test/test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_aligned_cols, test/test_quantization.py::TestQuantizedTensor::test_qtensor_unsqueeze, test/test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_sub_byte, test/test_quantization.py::TestQuantizedTensor::test_torch_qtensor_deepcopy, test/test_quantization.py::TestFakeQuantize::test_fq_module_per_channel, test/test_quantization.py::TestFakeQuantize::test_fq_serializable_per_channel, test/test_quantization.py::TestObserver::test_dynamic_quant_observer, test/test_quantization.py::TestObserver::test_histogram_observer_handle_close_to_infinity, test/test_quantization.py::TestObserver::test_histogram_observer_save_load_state_dict, test/test_quantization.py::TestObserver::test_observer_qparams_respects_device_affinity, test/test_quantization.py::TestObserver::test_per_channel_observers_load_state_dict, test/test_quantization.py::TestObserver::test_per_tensor_observers, test/test_quantization.py::TestObserver::test_save_load_state_dict_script, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_api, test/test_quantization.py::TestStaticQuantizedModule::test_dropout, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_api, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_bag_api, test/test_quantization.py::TestStaticQuantizedModule::test_linear_relu, test/test_quantization.py::TestStaticQuantizedModule::test_linear_tanh, test/test_quantization.py::TestStaticQuantizedModule::test_relu, test/test_quantization.py::TestStaticQuantizedModule::test_sigmoid, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv3d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose1d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose3d, test/test_quantization.py::TestDynamicQuantizedModule::test_gru_api, test/test_quantization.py::TestDynamicQuantizedModule::test_linear_api, test/test_quantization.py::TestDynamicQuantizedModule::test_lstm_api, test/test_quantization.py::TestReferenceQuantizedModule::test_linear_decomposed_weight_custom_qmin_qmax, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn_cell, test/test_quantization.py::TestRecordHistogramObserver::test_record_observer, test/test_quantization.py::TestHistogramObserver::test_histogram_observer, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_against_reference, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_correct_numel, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_same_inputs, test/test_quantization.py::TestDistributed::test_observers_preserve_buffers, test/test_quantization.py::TestDistributed::test_qat_convbn_fused_syncbn_replacement, test/test_quantization.py::TestDistributed::test_qat_data_parallel, test/test_quantization.py::TestFusedObsFakeQuantModule::test_compare_fused_obs_fq_oss_module, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_per_channel, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_module, test/test_quantization.py::TestBackendConfig::test_backend_config_from_dict, test/test_quantization.py::TestBackendConfig::test_backend_config_set_backend_pattern_config, test/test_quantization.py::TestBackendConfig::test_backend_config_set_name, test/test_quantization.py::TestBackendConfig::test_backend_op_config_add_dtype_config, test/test_quantization.py::TestBackendConfig::test_backend_op_config_from_dict, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_extra_inputs_getter, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_fused_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_reference_quantized_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_node_getter, test/test_quantization.py::TestBackendConfig::test_backend_op_config_to_dict, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_complex_args, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_default_kwargs, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_channel, test/test_quantization.py::TestUtils::test_uint1_7_dtype, test/test_quantization.py::TestQuantizationDocs::test_quantization_doc_custom, test/test_quantization.py::TestQuantizationDocs::test_quantization_doc_fx, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_activations, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_activations_in_non_leaf_module_list, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_dequant_stub, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_manual, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_mha_batch_first_attr_is_copied_in_prepare, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested3, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_resnet_base, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_bag_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_linear_relu_fusion, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested1, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested2, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested3, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn_cell, test/test_quantization.py::TestQuantizeEagerOps::test_conv_1d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_3d, test/test_quantization.py::TestQuantizeEagerOps::test_functional_module, test/test_quantization.py::TestQuantizeEagerOps::test_leaky_relu, test/test_quantization.py::TestQuantizeEagerQAT::test_add_scalar_uses_input_qparams, test/test_quantization.py::TestQuantizeEagerQAT::test_conv_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_dropout, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_qat_qconfig_equal, test/test_quantization.py::TestQuantizeEagerQAT::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerQAT::test_mul_scalar_uses_input_qparams, test/test_quantization.py::TestQuantizeEagerQAT::test_qat_embedding_bag_errors, test/test_quantization.py::TestQuantizeEagerQAT::test_train_save_load_eval, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_leaky_relu, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_workflow, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_relu, test/test_quantization.py::TestFuseEager::test_fuse_function_customization, test/test_quantization.py::TestFuseEager::test_fuse_module_train, test/test_quantization.py::TestFuseEager::test_fusion_convtranspose_bn_eval, test/test_quantization.py::TestFuseEager::test_fusion_linear_bn_eval, test/test_quantization.py::TestFuseEager::test_fusion_sequential_model_train, test/test_quantization.py::TestModelNumericsEager::test_fake_quant_true_quant_compare, test/test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_channel, test/test_quantization.py::TestModelNumericsEager::test_weight_only_activation_only_fakequant, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_functional_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_functional_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_submodule_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v2, test/test_quantization.py::TestNumericSuiteEager::test_shadow_logger, test/test_quantization.py::TestEqualizeEager::test_converged, test/test_quantization.py::TestEqualizeEager::test_equalize_fused_linearrelu, test/test_quantization.py::TestBiasCorrectionEager::test_linear_chain, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_by_default, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_lowering, test/test_quantization.py::TestFuseFx::test_fuse_convtranspose_bn_eval, test/test_quantization.py::TestFuseFx::test_fuse_custom_pattern, test/test_quantization.py::TestFuseFx::test_fusion_pattern_with_multiple_inputs, test/test_quantization.py::TestFuseFx::test_linear_bn_leaky_relu_not_fused_by_default, test/test_quantization.py::TestFuseFx::test_problematic_fuse_example, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_per_channel_quant, test/test_quantization.py::TestQuantizeFx::test_attention, test/test_quantization.py::TestQuantizeFx::test_backend_config_quantization_range, test/test_quantization.py::TestQuantizeFx::test_backend_config_scale_min, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_not_reference, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_convert_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_convtranspose_per_channel_fails_early, test/test_quantization.py::TestQuantizeFx::test_copy_node_has_shared_actpp_instance, test/test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_duplicate_nodes, test/test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_multiple_users, test/test_quantization.py::TestQuantizeFx::test_dequantize, test/test_quantization.py::TestQuantizeFx::test_dict_output, test/test_quantization.py::TestQuantizeFx::test_dynamic_linear_input_multiple_use, test/test_quantization.py::TestQuantizeFx::test_dynamic_quant_weight_observer, test/test_quantization.py::TestQuantizeFx::test_fold_quant_dequant, test/test_quantization.py::TestQuantizeFx::test_fp32_input_fp32_output, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_fused_module_qat_swap, test/test_quantization.py::TestQuantizeFx::test_fusion_pattern_unquantized, test/test_quantization.py::TestQuantizeFx::test_get_default_qconfig_valid_backend, test/test_quantization.py::TestQuantizeFx::test_getattr_with_nontensor_result, test/test_quantization.py::TestQuantizeFx::test_linear_bn, test/test_quantization.py::TestQuantizeFx::test_linear_leaky_relu_lowering, test/test_quantization.py::TestQuantizeFx::test_linear_qint8_activation, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_linear_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_mixed_dtypes, test/test_quantization.py::TestQuantizeFx::test_not_used, test/test_quantization.py::TestQuantizeFx::test_observer_fqn, test/test_quantization.py::TestQuantizeFx::test_packed_weight_fused_op, test/test_quantization.py::TestQuantizeFx::test_pattern_match_constant, test/test_quantization.py::TestQuantizeFx::test_permute_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_float_to_observed_mapping, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_classes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_class, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_prepare_mode, test/test_quantization.py::TestQuantizeFx::test_preserve_qconfig, test/test_quantization.py::TestQuantizeFx::test_preserve_tuple, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_tuple_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_list_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_split_list_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_split_tuple_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_tuple_args, test/test_quantization.py::TestQuantizeFx::test_qconfig_for_call_method, test/test_quantization.py::TestQuantizeFx::test_qconfig_function, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_from_dict, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_object_type, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_name_object_type_order, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_type, test/test_quantization.py::TestQuantizeFx::test_qconfig_none, test/test_quantization.py::TestQuantizeFx::test_qconfig_precedence, test/test_quantization.py::TestQuantizeFx::test_qnnpack_backend_config, test/test_quantization.py::TestQuantizeFx::test_qparams_buffers, test/test_quantization.py::TestQuantizeFx::test_quantized_input_quantized_output, test/test_quantization.py::TestQuantizeFx::test_quantized_model_type, test/test_quantization.py::TestQuantizeFx::test_ref_linear_module, test/test_quantization.py::TestQuantizeFx::test_remove_qconfig, test/test_quantization.py::TestQuantizeFx::test_return_none, test/test_quantization.py::TestQuantizeFx::test_reuse_input_qconfig, test/test_quantization.py::TestQuantizeFx::test_save_observer_state_dict, test/test_quantization.py::TestQuantizeFx::test_shape_followed_by_quantized_op, test/test_quantization.py::TestQuantizeFx::test_stack_trace_preserved_linear, test/test_quantization.py::TestQuantizeFx::test_standalone_module_float_interface, test/test_quantization.py::TestQuantizeFx::test_standalone_module_quantized_interface, test/test_quantization.py::TestQuantizeFx::test_state_dict, test/test_quantization.py::TestQuantizeFx::test_static_lstm_consume_tuple, test/test_quantization.py::TestQuantizeFx::test_symmetric_qnnpack_qat_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_symmetric_qnnpack_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_torch_transpose_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_torch_unsqueeze_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_unsqueeze__nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_view_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFxOps::test_add_relu, test/test_quantization.py::TestQuantizeFxOps::test_add_relu_multiple_uses_of_relu, test/test_quantization.py::TestQuantizeFxOps::test_ave_pool_with_custom_cfg, test/test_quantization.py::TestQuantizeFxOps::test_boolean_tensor, test/test_quantization.py::TestQuantizeFxOps::test_cat, test/test_quantization.py::TestQuantizeFxOps::test_chunk, test/test_quantization.py::TestQuantizeFxOps::test_conv_module, test/test_quantization.py::TestQuantizeFxOps::test_conv_transpose_2d, test/test_quantization.py::TestQuantizeFxOps::test_copy_node_fp32_input, test/test_quantization.py::TestQuantizeFxOps::test_div, test/test_quantization.py::TestQuantizeFxOps::test_elu, test/test_quantization.py::TestQuantizeFxOps::test_embedding, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops, test/test_quantization.py::TestQuantizeFxOps::test_gelu_normal, test/test_quantization.py::TestQuantizeFxOps::test_hardswish, test/test_quantization.py::TestQuantizeFxOps::test_instance_norm, test/test_quantization.py::TestQuantizeFxOps::test_int8_input_no_unnecessary_fq, test/test_quantization.py::TestQuantizeFxOps::test_layer_norm, test/test_quantization.py::TestQuantizeFxOps::test_leaky_relu, test/test_quantization.py::TestQuantizeFxOps::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizeFxOps::test_mish_reference, test/test_quantization.py::TestQuantizeFxOps::test_norm_weight_bias, test/test_quantization.py::TestQuantizeFxOps::test_qbatch_norm, test/test_quantization.py::TestQuantizeFxOps::test_quantized_add_qat, test/test_quantization.py::TestQuantizeFxOps::test_quantized_conv_relu, test/test_quantization.py::TestQuantizeFxOps::test_quantized_mul_qat, test/test_quantization.py::TestQuantizeFxOps::test_rnn, test/test_quantization.py::TestQuantizeFxOps::test_silu_reference, test/test_quantization.py::TestQuantizeFxOps::test_softmax_reference, test/test_quantization.py::TestQuantizeFxOps::test_sum, test/test_quantization.py::TestQuantizeFxModels::test_qat_functional_linear, test/test_quantization.py::TestQuantizeFxModels::test_resnet18_ddp, test/test_quantization.py::TestQuantizeFxModels::test_resnet_base, test/test_quantization.py::TestQuantizeFxModels::test_switch_device_prepare_convert, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_writer_replace_consecutive_submodules, test/test_quantization.py::TestGraphUtils::test_conv_bn_conv_relu, test/test_quantization.py::TestGraphUtils::test_conv_bn_relu, test/test_quantization.py::TestDuplicateDQPass::test_avgpool_use_different_qconfig, test/test_quantization.py::TestDuplicateDQPass::test_no_add_quant_duplicate_dq, test/test_quantization.py::TestDuplicateDQPass::test_simple_duplicate_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq_no_static_q, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_with_no_quant_inbetween, test/test_quantization.py::TestMetaDataPorting::test_simple_metadata_porting, test/test_quantization.py::TestGenerateNumericDebugHandle::test_simple, test/test_quantization.py::TestQuantizePT2E::test_allow_exported_model_train_eval, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_throw, test/test_quantization.py::TestQuantizePT2E::test_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2E::test_derived_qspec, test/test_quantization.py::TestQuantizePT2E::test_derived_qspec_per_channel, test/test_quantization.py::TestQuantizePT2E::test_disallow_eval_train, test/test_quantization.py::TestQuantizePT2E::test_dont_fold_other_constant, test/test_quantization.py::TestQuantizePT2E::test_embedding_conv_linear_quantization, test/test_quantization.py::TestQuantizePT2E::test_embedding_quantizer, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_ptq, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_qat, test/test_quantization.py::TestQuantizePT2E::test_max_pool2d_quantizer, test/test_quantization.py::TestQuantizePT2E::test_observer_callback, test/test_quantization.py::TestQuantizePT2E::test_reentrant, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity, test/test_quantization.py::TestQuantizePT2E::test_simple_quantizer, test/test_quantization.py::TestPT2ERepresentation::test_add, test/test_quantization.py::TestPT2ERepresentation::test_conv2d, test/test_quantization.py::TestPT2ERepresentation::test_dynamic_linear, test/test_quantization.py::TestPT2ERepresentation::test_qdq_per_channel, test/test_quantization.py::TestPT2ERepresentation::test_static_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d_with_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv_linear_no_permute, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_int4_weight, test/test_quantization.py::TestXNNPACKQuantizer::test_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_mul_and_inplace_mul, test/test_quantization.py::TestXNNPACKQuantizer::test_obs_sharing_ops, test/test_quantization.py::TestXNNPACKQuantizer::test_qat_dynamic_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type, test/test_quantization.py::TestXNNPACKQuantizerModels::test_resnet18, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_same_inputs, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_dynamic_quant_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_maxpool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_dynamic_quant_linear, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_inplace_add_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_preserve_source_fn_stack, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_update_shared_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_prepare_qat_conv_bn_fusion_getitem_placeholder, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_bias_derived_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_preserve_source_fn_stack, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_update_shared_qspec, test/test_quantization.py::TestQuantizePT2EQATModels::test_qat_mobilenet_v2, test/test_quantization.py::TestFXGraphMatcher::test_dict_return_type, test/test_quantization.py::TestFXGraphMatcher::test_methods, test/test_quantization.py::TestFXGraphMatcher::test_nodes_before_cat, test/test_quantization.py::TestFXGraphMatcher::test_simple_fun, test/test_quantization.py::TestFXGraphMatcher::test_simple_fusion, test/test_quantization.py::TestFXGraphMatcher::test_simple_mod, test/test_quantization.py::TestFXGraphMatcher::test_simple_tensor_ops, test/test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2, test/test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_loggers_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extend_logger_results_with_comparison, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_layer_names, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_weights, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_loggers_preserve_qat_numerics, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_logging_inputs, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_mul_add_cat_stack_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_unsupported_op_copy_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_defined_function, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module_scriptable, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_conv_bn_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_functions, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_partial_qconfig_mapping, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_deduplication, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_insert_padding, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_ordering, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_retroactive_padding, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_mobilenet_v2, test/test_quantization.py::TestFxModelReportDetector::test_multi_linear_model_without_per_channel, test/test_quantization.py::TestFxModelReportDetector::test_multiple_q_config_options, test/test_quantization.py::TestFxModelReportDetector::test_sequential_model_format, test/test_quantization.py::TestFxModelReportDetector::test_simple_conv, test/test_quantization.py::TestFxModelReportObserver::test_random_epochs_and_batches, test/test_quantization.py::TestFxModelReportObserver::test_zero_tensor_errors, test/test_quantization.py::TestFxModelReportDetectDynamicStatic::test_nested_detection_case, test/test_quantization.py::TestFxModelReportClass::test_equalization_mapping_generation, test/test_quantization.py::TestFxModelReportClass::test_generate_report, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_determine_points, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_all_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_no_outlier_report_gen, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_match_with_report, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_single_feat_match, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_convert, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_equalization_scales, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_prepare, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_weights_bias, test/test_quantization.py::TestSerialization::test_conv2d_graph, test/test_quantization.py::TestSerialization::test_conv2d_graph_v2, test/test_quantization.py::TestSerialization::test_conv2d_graph_v3, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v2, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v3, test/test_quantization.py::TestSerialization::test_conv2d_relu, test/test_quantization.py::TestSerialization::test_conv3d_relu, test/test_quantization.py::TestSerialization::test_default_qat_qconfig, test/test_quantization.py::TestSerialization::test_linear, test/test_quantization.py::TestSerialization::test_linear_relu, test/test_quantization.py::TestQuantizeJit::test_nested, test/test_quantization.py::TestQuantizeJit::test_skip_quant, test/test_quantization.py::TestQuantizeJitPasses::test_conv_trace, test/test_quantization.py::TestQuantizeJitPasses::test_dedup_module_uses, test/test_quantization.py::TestQuantizeJitPasses::test_finalize_debug, test/test_quantization.py::TestQuantizeJitPasses::test_finalize_for_linear, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_shared_classtype, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial_nobias, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if_consistent_observation, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface_unshare_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_for_function, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_interface_with_fork, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize_in_block, test/test_quantization.py::TestQuantizeJitOps::test_clamp, test/test_quantization.py::TestQuantizeJitOps::test_conv_with_benchmark_flag, test/test_quantization.py::TestQuantizeJitOps::test_elu, test/test_quantization.py::TestQuantizeJitOps::test_hardswish, test/test_quantization.py::TestQuantizeJitOps::test_instance_norm, test/test_quantization.py::TestQuantizeJitOps::test_layer_norm, test/test_quantization.py::TestQuantizeJitOps::test_linear, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_cat, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar_relu, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_multi_op, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_quant_multi_uses, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_weight_observer, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_with_if, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic_child_qconfig, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag_padding_idx_error, test/test_quantization.py::TestFusionPasses::test_quantized_add_relu_fusion, test/test_quantization.py::TestDeprecatedJitQuantized::test_erase_class_tensor_shapes, test/test_quantization.py::TestDeprecatedJitQuantized::test_quantization_modules, test/test_quantization.py::TestDeprecatedJitQuantized::test_rnn_cell_quantized, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fake_quantize, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantization_mappings, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_stubs, test/test_quantization.py::TestAOMigrationNNQuantized::test_functional_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_dynamic_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_rnn, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_dropout, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_normalization, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_quantized, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_conv_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_bn_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_linear_relu, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fuse, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_graph_module, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_match_utils, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_pattern_utils, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_quantization_patterns, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_quantize_fx, test/test_quantization.py::TestBitsCPU::test_cat_cpu, test/test_quantization.py::TestBitsCPU::test_subclass_cpu, test/test_quantization.py::TestBitsCPU::test_types_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e4m3fn 2024-04-03T17:29:31.1927789Z 2024-04-03T17:29:32.1268543Z 2024-04-03T17:29:32.1269175Z real 80m51.160s 2024-04-03T17:29:32.1269761Z user 233m0.857s 2024-04-03T17:29:32.1272927Z sys 16m3.521s 2024-04-03T17:29:32.1273384Z + assert_git_not_dirty 2024-04-03T17:29:32.1274138Z + [[ linux-focal-py3.12-clang10 != *rocm* ]] 2024-04-03T17:29:32.1274911Z + [[ linux-focal-py3.12-clang10 != *xla* ]] 2024-04-03T17:29:32.1275599Z ++ git status --porcelain 2024-04-03T17:29:32.1276179Z ++ grep -v '?? third_party' 2024-04-03T17:29:41.4812117Z ++ true 2024-04-03T17:29:41.4813572Z + git_status= 2024-04-03T17:29:41.4814203Z + [[ -n '' ]] 2024-04-03T17:29:41.4814485Z + test_aten 2024-04-03T17:29:41.4814915Z + echo 'Running ATen tests with pytorch lib' 2024-04-03T17:29:41.4815453Z Running ATen tests with pytorch lib 2024-04-03T17:29:41.4815911Z + [[ -n '' ]] 2024-04-03T17:29:41.4816299Z + echo 'Running test with the build folder' 2024-04-03T17:29:41.4816839Z Running test with the build folder 2024-04-03T17:29:41.4817243Z + TEST_BASE_DIR=build/bin 2024-04-03T17:29:41.4817976Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libc10.so build/bin 2024-04-03T17:29:41.4885705Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libcaffe2*' build/bin 2024-04-03T17:29:41.4893319Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libmkldnn*' build/bin 2024-04-03T17:29:41.4901174Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libnccl*' build/bin 2024-04-03T17:29:41.4911657Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorchbind_test.so build/bin 2024-04-03T17:29:41.4917663Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtbb*' build/bin 2024-04-03T17:29:41.4924510Z + ls build/bin 2024-04-03T17:29:41.4997551Z CMakeFiles dispatch_key_set_test 2024-04-03T17:29:41.4998469Z CTestTestfile.cmake dlconvertor_test 2024-04-03T17:29:41.4999380Z CppSignature_test example_allreduce 2024-04-03T17:29:41.5000219Z Dict_test extension_backend_test 2024-04-03T17:29:41.5000744Z Dimname_test half_test 2024-04-03T17:29:41.5001326Z FileStoreTest inline_container_test 2024-04-03T17:29:41.5001838Z HashStoreTest ivalue_test 2024-04-03T17:29:41.5002610Z IListRef_test kernel_function_legacy_test 2024-04-03T17:29:41.5003123Z KernelFunction_test kernel_function_test 2024-04-03T17:29:41.5003613Z List_test kernel_lambda_legacy_test 2024-04-03T17:29:41.5004051Z Makefile kernel_lambda_test 2024-04-03T17:29:41.5004485Z MaybeOwned_test kernel_stackbased_test 2024-04-03T17:29:41.5004958Z NamedTensor_test lazy_tensor_test 2024-04-03T17:29:41.5005446Z ProcessGroupGlooTest legacy_vmap_test 2024-04-03T17:29:41.5005978Z StorageUtils_test libc10.so 2024-04-03T17:29:41.5006491Z TCPStoreTest 'libcaffe2*' 2024-04-03T17:29:41.5006956Z aot_model_compiler_test 'libmkldnn*' 2024-04-03T17:29:41.5007425Z apply_utils_test 'libnccl*' 2024-04-03T17:29:41.5007820Z atest 'libtbb*' 2024-04-03T17:29:41.5008190Z backend_fallback_test libtorch.so 2024-04-03T17:29:41.5008616Z basic libtorch_cpu.so 2024-04-03T17:29:41.5009027Z broadcast_test libtorch_global_deps.so 2024-04-03T17:29:41.5009503Z c10_Bitset_test libtorch_python.so 2024-04-03T17:29:41.5010054Z c10_CompileTimeFunctionPointer_test libtorchbind_test.so 2024-04-03T17:29:41.5010718Z c10_ConstexprCrc_test make_boxed_from_unboxed_functor_test 2024-04-03T17:29:41.5011318Z c10_DeadlockDetection_test math_kernel_test 2024-04-03T17:29:41.5011831Z c10_DeviceGuard_test memory_format_test 2024-04-03T17:29:41.5012316Z c10_Device_test memory_overlapping_test 2024-04-03T17:29:41.5012839Z c10_DispatchKeySet_test mobile_memory_cleanup 2024-04-03T17:29:41.5013316Z c10_Half_test native_test 2024-04-03T17:29:41.5013757Z c10_InlineDeviceGuard_test op_allowlist_test 2024-04-03T17:29:41.5014392Z c10_InlineStreamGuard_test op_registration_test 2024-04-03T17:29:41.5014925Z c10_LeftRight_test operator_name_test 2024-04-03T17:29:41.5015397Z c10_Metaprogramming_test operators_test 2024-04-03T17:29:41.5015907Z c10_Scalar_test packedtensoraccessor_test 2024-04-03T17:29:41.5016433Z c10_SizesAndStrides_test parallel_benchmark 2024-04-03T17:29:41.5016898Z c10_StreamGuard_test pow_test 2024-04-03T17:29:41.5017300Z c10_SymInt_test protoc 2024-04-03T17:29:41.5017771Z c10_Synchronized_test protoc-3.13.0.0 2024-04-03T17:29:41.5018261Z c10_ThreadLocal_test quantized_test 2024-04-03T17:29:41.5019110Z c10_TypeIndex_test reduce_ops_test 2024-04-03T17:29:41.5019648Z c10_TypeList_test reportMemoryUsage_test 2024-04-03T17:29:41.5020132Z c10_TypeTraits_test scalar_tensor_test 2024-04-03T17:29:41.5020768Z c10_accumulate_test scalar_test 2024-04-03T17:29:41.5021530Z c10_bfloat16_test static_runtime_bench 2024-04-03T17:29:41.5021985Z c10_bit_cast_test static_runtime_test 2024-04-03T17:29:41.5023097Z c10_complex_math_test stride_properties_test 2024-04-03T17:29:41.5023609Z c10_complex_test tensor_iterator_test 2024-04-03T17:29:41.5024027Z c10_cow_test test_api 2024-04-03T17:29:41.5024414Z c10_exception_test test_cpp_rpc 2024-04-03T17:29:41.5024845Z c10_flags_test test_dist_autograd 2024-04-03T17:29:41.5025340Z c10_generic_math_test test_edge_op_registration 2024-04-03T17:29:41.5025862Z c10_intrusive_ptr_benchmark test_jit 2024-04-03T17:29:41.5026413Z c10_intrusive_ptr_test test_lazy 2024-04-03T17:29:41.5026902Z c10_irange_test test_mobile_nnc 2024-04-03T17:29:41.5027455Z c10_logging_test test_parallel 2024-04-03T17:29:41.5028057Z c10_optional_test test_tensorexpr 2024-04-03T17:29:41.5028775Z c10_ordered_preserving_dict_test thread_init_test 2024-04-03T17:29:41.5029363Z c10_registry_test torch_shm_manager 2024-04-03T17:29:41.5029844Z c10_small_vector_test tutorial_tensorexpr 2024-04-03T17:29:41.5030383Z c10_ssize_test type_ptr_test 2024-04-03T17:29:41.5030776Z c10_string_util_test type_test 2024-04-03T17:29:41.5031236Z c10_string_view_test undefined_tensor_test 2024-04-03T17:29:41.5031784Z c10_tempfile_test vec_test_all_types_AVX2 2024-04-03T17:29:41.5032327Z c10_typeid_test vec_test_all_types_AVX512 2024-04-03T17:29:41.5032913Z cmake_install.cmake vec_test_all_types_DEFAULT 2024-04-03T17:29:41.5033446Z cpu_allocator_test verify_api_visibility 2024-04-03T17:29:41.5033904Z cpu_generator_test weakref_test 2024-04-03T17:29:41.5034373Z cpu_profiling_allocator_test wrapdim_test 2024-04-03T17:29:41.5034881Z cpu_rng_test xla_tensor_test 2024-04-03T17:29:41.5035289Z + aten/tools/run_tests.sh build/bin 2024-04-03T17:29:41.5035700Z + set -e 2024-04-03T17:29:41.5035973Z ++ dirname aten/tools/run_tests.sh 2024-04-03T17:29:41.5036490Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2024-04-03T17:29:41.5037050Z + export CPP_TESTS_DIR=build/bin 2024-04-03T17:29:41.5037422Z + CPP_TESTS_DIR=build/bin 2024-04-03T17:29:41.5037730Z + VALGRIND=ON 2024-04-03T17:29:41.5040284Z + python test/run_test.py --cpp --verbose -i cpp/basic cpp/atest cpp/scalar_test cpp/broadcast_test cpp/wrapdim_test cpp/apply_utils_test cpp/dlconvertor_test cpp/native_test cpp/scalar_tensor_test cpp/undefined_tensor_test cpp/extension_backend_test cpp/lazy_tensor_test cpp/tensor_iterator_test cpp/Dimname_test cpp/Dict_test cpp/NamedTensor_test cpp/cpu_generator_test cpp/legacy_vmap_test cpp/operators_test 2024-04-03T17:29:41.5926426Z /var/lib/jenkins/workspace/test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-04-03T17:29:41.5927660Z import pkg_resources 2024-04-03T17:29:42.7299991Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:29:43.5276617Z Downloading https://ossci-metrics.s3.amazonaws.com/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json 2024-04-03T17:29:43.5278385Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-04-03T17:29:43.5342250Z Found test times from artifacts 2024-04-03T17:29:43.5598495Z Found test times from artifacts 2024-04-03T17:29:43.5608212Z Running all tests 2024-04-03T17:29:43.5612135Z Name: tests to run (est. time: 0.0min) 2024-04-03T17:29:43.5612823Z Serial tests (0): 2024-04-03T17:29:43.5613413Z Parallel tests (19): 2024-04-03T17:29:43.5613741Z cpp/Dict_test 1/1 2024-04-03T17:29:43.5614174Z cpp/Dimname_test 1/1 2024-04-03T17:29:43.5614504Z cpp/NamedTensor_test 1/1 2024-04-03T17:29:43.5614861Z cpp/apply_utils_test 1/1 2024-04-03T17:29:43.5615200Z cpp/atest 1/1 2024-04-03T17:29:43.5615470Z cpp/basic 1/1 2024-04-03T17:29:43.5615767Z cpp/broadcast_test 1/1 2024-04-03T17:29:43.5616124Z cpp/cpu_generator_test 1/1 2024-04-03T17:29:43.5616478Z cpp/dlconvertor_test 1/1 2024-04-03T17:29:43.5616845Z cpp/extension_backend_test 1/1 2024-04-03T17:29:43.5617229Z cpp/lazy_tensor_test 1/1 2024-04-03T17:29:43.5617564Z cpp/legacy_vmap_test 1/1 2024-04-03T17:29:43.5617904Z cpp/native_test 1/1 2024-04-03T17:29:43.5618230Z cpp/operators_test 1/1 2024-04-03T17:29:43.5618560Z cpp/scalar_tensor_test 1/1 2024-04-03T17:29:43.5618911Z cpp/scalar_test 1/1 2024-04-03T17:29:43.5619456Z cpp/tensor_iterator_test 1/1 2024-04-03T17:29:43.5619879Z cpp/undefined_tensor_test 1/1 2024-04-03T17:29:43.5620253Z cpp/wrapdim_test 1/1 2024-04-03T17:29:43.5620693Z Name: excluded (est. time: 0.0min) 2024-04-03T17:29:43.5621053Z Serial tests (0): 2024-04-03T17:29:43.5621358Z Parallel tests (0): 2024-04-03T17:29:43.5621993Z Starting test batch 'tests to run' 0.0 seconds after initiating testing 2024-04-03T17:29:44.8235757Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:29:44.8298583Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:29:44.8836430Z Running cpp/Dict_test 1/1 ... [2024-04-03 17:29:44.883333] 2024-04-03T17:29:44.8841731Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7f3a550810065a72.xml', '-x', '--reruns=2'] ... [2024-04-03 17:29:44.883836] 2024-04-03T17:29:44.8899295Z Running cpp/Dimname_test 1/1 ... [2024-04-03 17:29:44.889677] 2024-04-03T17:29:44.8904652Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-3af71e2bbce38602.xml', '-x', '--reruns=2'] ... [2024-04-03 17:29:44.890121] 2024-04-03T17:29:47.1872012Z 2024-04-03T17:29:47.1874107Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_0818a08154200ed3_.log 2024-04-03T17:29:47.1875825Z 2024-04-03T17:29:48.7273348Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:29:48.7868411Z Running cpp/NamedTensor_test 1/1 ... [2024-04-03 17:29:48.786371] 2024-04-03T17:29:48.7872748Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1afa359fb59e9499.xml', '-x', '--reruns=2'] ... [2024-04-03 17:29:48.786858] 2024-04-03T17:29:52.0453266Z 2024-04-03T17:29:52.0455557Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_cab91b537a3be399_.log 2024-04-03T17:29:52.0457405Z 2024-04-03T17:29:53.6265459Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:29:53.6857192Z Running cpp/apply_utils_test 1/1 ... [2024-04-03 17:29:53.685296] 2024-04-03T17:29:53.6862527Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d0859eb31c99839f.xml', '-x', '--reruns=2'] ... [2024-04-03 17:29:53.685778] 2024-04-03T17:29:54.8651980Z 2024-04-03T17:29:54.8654047Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_d85619952ed59a58_.log 2024-04-03T17:29:54.8655679Z 2024-04-03T17:29:56.4516150Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:29:56.4874082Z 2024-04-03T17:29:56.4876290Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_2d3c3014e893e103_.log 2024-04-03T17:29:56.4878099Z 2024-04-03T17:29:56.5120101Z Running cpp/atest 1/1 ... [2024-04-03 17:29:56.511729] 2024-04-03T17:29:56.5126295Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-db9c9c6187f8145f.xml', '-x', '--reruns=2'] ... [2024-04-03 17:29:56.512183] 2024-04-03T17:29:57.9721953Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:29:58.0310986Z Running cpp/basic 1/1 ... [2024-04-03 17:29:58.030624] 2024-04-03T17:29:58.0315201Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1d67bc50bea327ca.xml', '-x', '--reruns=2'] ... [2024-04-03 17:29:58.031112] 2024-04-03T17:30:00.6455106Z 2024-04-03T17:30:00.6456928Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_2e908a08508ef918_.log 2024-04-03T17:30:00.6458131Z 2024-04-03T17:30:00.9301943Z 2024-04-03T17:30:00.9303588Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_094770295af48ece_.log 2024-04-03T17:30:00.9304474Z 2024-04-03T17:30:02.2045147Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:02.2627581Z Running cpp/broadcast_test 1/1 ... [2024-04-03 17:30:02.262374] 2024-04-03T17:30:02.2632940Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-cedd29af023b489c.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:02.262849] 2024-04-03T17:30:02.4680430Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:02.5269589Z Running cpp/cpu_generator_test 1/1 ... [2024-04-03 17:30:02.526567] 2024-04-03T17:30:02.5274842Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-266fb2bd56b58cc4.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:02.527040] 2024-04-03T17:30:04.3104786Z 2024-04-03T17:30:04.3106640Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_c3614852c75b4018_.log 2024-04-03T17:30:04.3108030Z 2024-04-03T17:30:05.7865787Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:05.8449858Z Running cpp/dlconvertor_test 1/1 ... [2024-04-03 17:30:05.844609] 2024-04-03T17:30:05.8454242Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-3752dff3cd188456.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:05.845088] 2024-04-03T17:30:06.9653744Z 2024-04-03T17:30:06.9656218Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_73b02f6925c1f47b_.log 2024-04-03T17:30:06.9658003Z 2024-04-03T17:30:07.8502882Z 2024-04-03T17:30:07.8505170Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_0095a9a0440a3e61_.log 2024-04-03T17:30:07.8506743Z 2024-04-03T17:30:08.5397299Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:08.6334551Z Running cpp/extension_backend_test 1/1 ... [2024-04-03 17:30:08.633132] 2024-04-03T17:30:08.6339710Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-096de7aaf7bc14d8.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:08.633602] 2024-04-03T17:30:09.3358802Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:09.3946188Z Running cpp/lazy_tensor_test 1/1 ... [2024-04-03 17:30:09.394152] 2024-04-03T17:30:09.3950921Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-fee8846f5b57b8ae.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:09.394636] 2024-04-03T17:30:10.5415051Z 2024-04-03T17:30:10.5416973Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_409522e49dac84c9_.log 2024-04-03T17:30:10.5418593Z 2024-04-03T17:30:11.3439903Z 2024-04-03T17:30:11.3447429Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_d92699ef109088d1_.log 2024-04-03T17:30:11.3456898Z 2024-04-03T17:30:12.0771698Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:12.1677076Z Running cpp/legacy_vmap_test 1/1 ... [2024-04-03 17:30:12.167276] 2024-04-03T17:30:12.1682068Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-f36dcacf32153c2b.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:12.167779] 2024-04-03T17:30:12.8423254Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:12.9010563Z Running cpp/native_test 1/1 ... [2024-04-03 17:30:12.900684] 2024-04-03T17:30:12.9014712Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-62cf32bf4bf80583.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:12.901133] 2024-04-03T17:30:14.8898034Z 2024-04-03T17:30:14.8899955Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_a65c882b19f4aa32_.log 2024-04-03T17:30:14.8911292Z 2024-04-03T17:30:16.4448637Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:16.5039356Z Running cpp/operators_test 1/1 ... [2024-04-03 17:30:16.503488] 2024-04-03T17:30:16.5044315Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-0950cb93e6e2d394.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:16.503984] 2024-04-03T17:30:17.9460091Z 2024-04-03T17:30:17.9462542Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_dc5fb1646cbb4339_.log 2024-04-03T17:30:17.9463736Z 2024-04-03T17:30:18.8189227Z 2024-04-03T17:30:18.8190951Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_341eea7b1ac1f932_.log 2024-04-03T17:30:18.8191858Z 2024-04-03T17:30:19.4510405Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:19.5102937Z Running cpp/scalar_tensor_test 1/1 ... [2024-04-03 17:30:19.509978] 2024-04-03T17:30:19.5107819Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-8c6b74bf6939e7d0.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:19.510468] 2024-04-03T17:30:20.3358460Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:20.3954409Z Running cpp/scalar_test 1/1 ... [2024-04-03 17:30:20.395043] 2024-04-03T17:30:20.3958470Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-e6159b819e6f3d5c.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:20.395524] 2024-04-03T17:30:21.9793998Z 2024-04-03T17:30:21.9795948Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_0d063168abbb10ce_.log 2024-04-03T17:30:21.9796974Z 2024-04-03T17:30:22.6618171Z 2024-04-03T17:30:22.6620022Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_48c101bcc3d6989f_.log 2024-04-03T17:30:22.6620911Z 2024-04-03T17:30:23.5741819Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:23.6329839Z Running cpp/tensor_iterator_test 1/1 ... [2024-04-03 17:30:23.632671] 2024-04-03T17:30:23.6334845Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-285e1d38e5a1b2ca.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:23.633132] 2024-04-03T17:30:24.2201512Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:24.2801670Z Running cpp/undefined_tensor_test 1/1 ... [2024-04-03 17:30:24.279659] 2024-04-03T17:30:24.2806399Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c40abe18deba3977.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:24.280172] 2024-04-03T17:30:26.1625196Z 2024-04-03T17:30:26.1627465Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_f0f585094fa62c04_.log 2024-04-03T17:30:26.1629366Z 2024-04-03T17:30:27.7038280Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:27.7618255Z Running cpp/wrapdim_test 1/1 ... [2024-04-03 17:30:27.761451] 2024-04-03T17:30:27.7623049Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-9541b47af76cb01d.xml', '-x', '--reruns=2'] ... [2024-04-03 17:30:27.761898] 2024-04-03T17:30:29.6704028Z 2024-04-03T17:30:29.6706128Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_75de35f3cd2c3dca_.log 2024-04-03T17:30:29.6708109Z 2024-04-03T17:30:31.2153833Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:30:36.8370326Z 2024-04-03T17:30:36.8372216Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_b552eb1bf64e56fd_.log 2024-04-03T17:30:36.8373260Z 2024-04-03T17:30:37.3913160Z + [[ -x ./tensor_interop_test ]] 2024-04-03T17:30:37.3913877Z + [[ -x ./cudnn_test ]] 2024-04-03T17:30:37.3914447Z + [[ -x ./cuda_generator_test ]] 2024-04-03T17:30:37.3915021Z + [[ -x ./apply_test ]] 2024-04-03T17:30:37.3916168Z + [[ -x ./stream_test ]] 2024-04-03T17:30:37.3916972Z + [[ -x ./cuda_half_test ]] 2024-04-03T17:30:37.3917579Z + [[ -x ./cuda_vectorized_test ]] 2024-04-03T17:30:37.3918024Z + [[ -x ./cuda_distributions_test ]] 2024-04-03T17:30:37.3918543Z + [[ -x ./cuda_optional_test ]] 2024-04-03T17:30:37.3918966Z + [[ -x ./cuda_tensor_interop_test ]] 2024-04-03T17:30:37.3919451Z + [[ -x ./cuda_complex_test ]] 2024-04-03T17:30:37.3919920Z + [[ -x ./cuda_complex_math_test ]] 2024-04-03T17:30:37.3920324Z + [[ -x ./cuda_cub_test ]] 2024-04-03T17:30:37.3920774Z + [[ -x ./cuda_atomic_ops_test ]] 2024-04-03T17:30:37.3921167Z + '[' ON == ON ']' 2024-04-03T17:30:37.3922279Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2024-04-03T17:30:37.4249800Z ==13368== Memcheck, a memory error detector 2024-04-03T17:30:37.4250965Z ==13368== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2024-04-03T17:30:37.4251803Z ==13368== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2024-04-03T17:30:37.4252726Z ==13368== Command: build/bin/basic --gtest_filter=-*CUDA 2024-04-03T17:30:37.4253251Z ==13368== 2024-04-03T17:31:04.4565549Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2024-04-03T17:31:04.4778157Z Note: Google Test filter = -*CUDA 2024-04-03T17:31:04.4829485Z [==========] Running 4 tests from 1 test suite. 2024-04-03T17:31:04.4855050Z [----------] Global test environment set-up. 2024-04-03T17:31:04.4894027Z [----------] 4 tests from BasicTest 2024-04-03T17:31:04.4915420Z [ RUN ] BasicTest.BasicTestCPU 2024-04-03T17:31:05.8866090Z 345 ms 2024-04-03T17:31:05.9704104Z 52 ms 2024-04-03T17:31:06.0444618Z 65 ms 2024-04-03T17:31:06.7309535Z [ OK ] BasicTest.BasicTestCPU (2237 ms) 2024-04-03T17:31:06.7317055Z [ RUN ] BasicTest.BasicTestHalfCPU 2024-04-03T17:31:06.8577075Z 81 ms 2024-04-03T17:31:06.9096657Z 47 ms 2024-04-03T17:31:06.9759339Z 64 ms 2024-04-03T17:31:07.1189683Z [ OK ] BasicTest.BasicTestHalfCPU (386 ms) 2024-04-03T17:31:07.1191363Z [ RUN ] BasicTest.FactoryMethodsTest 2024-04-03T17:31:07.1514416Z [ OK ] BasicTest.FactoryMethodsTest (32 ms) 2024-04-03T17:31:07.1515332Z [ RUN ] BasicTest.BasicStdTestCPU 2024-04-03T17:31:07.2346668Z Simple example: called once 2024-04-03T17:31:07.3244271Z throw: call_once will retry 2024-04-03T17:31:07.3270895Z Didn't throw, call_once will not attempt again 2024-04-03T17:31:07.3704447Z [ OK ] BasicTest.BasicStdTestCPU (218 ms) 2024-04-03T17:31:07.3726559Z [----------] 4 tests from BasicTest (2879 ms total) 2024-04-03T17:31:07.3727183Z 2024-04-03T17:31:07.3737366Z [----------] Global test environment tear-down 2024-04-03T17:31:07.3769359Z [==========] 4 tests from 1 test suite ran. (2900 ms total) 2024-04-03T17:31:07.3780175Z [ PASSED ] 4 tests. 2024-04-03T17:31:09.0402035Z ==13368== 2024-04-03T17:31:09.0405535Z ==13368== HEAP SUMMARY: 2024-04-03T17:31:09.0406326Z ==13368== in use at exit: 244,054 bytes in 4,047 blocks 2024-04-03T17:31:09.0407915Z ==13368== total heap usage: 660,507 allocs, 656,460 frees, 208,692,865 bytes allocated 2024-04-03T17:31:09.0408755Z ==13368== 2024-04-03T17:31:09.0785750Z ==13368== LEAK SUMMARY: 2024-04-03T17:31:09.0786538Z ==13368== definitely lost: 0 bytes in 0 blocks 2024-04-03T17:31:09.0787287Z ==13368== indirectly lost: 0 bytes in 0 blocks 2024-04-03T17:31:09.0788125Z ==13368== possibly lost: 0 bytes in 0 blocks 2024-04-03T17:31:09.0788709Z ==13368== still reachable: 244,054 bytes in 4,047 blocks 2024-04-03T17:31:09.0789246Z ==13368== suppressed: 0 bytes in 0 blocks 2024-04-03T17:31:09.0790008Z ==13368== Rerun with --leak-check=full to see details of leaked memory 2024-04-03T17:31:09.0790544Z ==13368== 2024-04-03T17:31:09.0791016Z ==13368== For lists of detected and suppressed errors, rerun with: -s 2024-04-03T17:31:09.0791741Z ==13368== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2024-04-03T17:31:09.1076237Z + [[ -x ./tensor_interop_test ]] 2024-04-03T17:31:09.1077837Z + [[ -n '' ]] 2024-04-03T17:31:09.1078156Z + assert_git_not_dirty 2024-04-03T17:31:09.1078589Z + [[ linux-focal-py3.12-clang10 != *rocm* ]] 2024-04-03T17:31:09.1079115Z + [[ linux-focal-py3.12-clang10 != *xla* ]] 2024-04-03T17:31:09.1084235Z ++ git status --porcelain 2024-04-03T17:31:09.1084930Z ++ grep -v '?? third_party' 2024-04-03T17:31:09.2228073Z ++ true 2024-04-03T17:31:09.2228613Z + git_status= 2024-04-03T17:31:09.2229278Z + [[ -n '' ]] 2024-04-03T17:31:09.2229732Z + test_libtorch 1 2024-04-03T17:31:09.2230025Z + local SHARD=1 2024-04-03T17:31:09.2230313Z + [[ default != \s\l\o\w ]] 2024-04-03T17:31:09.2230702Z + echo 'Testing libtorch' 2024-04-03T17:31:09.2231033Z Testing libtorch 2024-04-03T17:31:09.2232359Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-04-03T17:31:09.2239453Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-04-03T17:31:09.2247750Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-04-03T17:31:09.2255557Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-04-03T17:31:09.2263354Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-04-03T17:31:09.2273073Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-04-03T17:31:09.2279115Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtbb*' /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-04-03T17:31:09.2287319Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-04-03T17:31:09.2295372Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-04-03T17:31:09.2296400Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-04-03T17:31:09.2297010Z + [[ -z 1 ]] 2024-04-03T17:31:09.2297280Z + [[ 1 == \1 ]] 2024-04-03T17:31:09.2297563Z + test_libtorch_api 2024-04-03T17:31:09.2297959Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2024-04-03T17:31:09.2298806Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2024-04-03T17:31:09.2791893Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ... 2024-04-03T17:31:09.7178435Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ... 2024-04-03T17:31:09.7461717Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ... 2024-04-03T17:31:09.8144436Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ... 2024-04-03T17:31:09.8409716Z + [[ linux-focal-py3.12-clang10 == *asan* ]] 2024-04-03T17:31:09.8410543Z + [[ linux-focal-py3.12-clang10 == *slow-gradcheck* ]] 2024-04-03T17:31:09.8411019Z + OMP_NUM_THREADS=2 2024-04-03T17:31:09.8411509Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2024-04-03T17:31:09.8412373Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2024-04-03T17:31:09.9256111Z /var/lib/jenkins/workspace/test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-04-03T17:31:09.9257311Z import pkg_resources 2024-04-03T17:31:11.0028645Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:31:11.7459716Z Downloading https://ossci-metrics.s3.amazonaws.com/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json 2024-04-03T17:31:11.7461490Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-04-03T17:31:11.7527196Z Found test times from artifacts 2024-04-03T17:31:11.7779564Z Found test times from artifacts 2024-04-03T17:31:11.7788392Z Running all tests 2024-04-03T17:31:11.7790385Z Name: tests to run (est. time: 0.0min) 2024-04-03T17:31:11.7791272Z Serial tests (0): 2024-04-03T17:31:11.7791637Z Parallel tests (1): 2024-04-03T17:31:11.7792201Z cpp/test_api 1/1 2024-04-03T17:31:11.7792589Z Name: excluded (est. time: 0.0min) 2024-04-03T17:31:11.7792950Z Serial tests (0): 2024-04-03T17:31:11.7793260Z Parallel tests (0): 2024-04-03T17:31:11.7793869Z Starting test batch 'tests to run' 0.0 seconds after initiating testing 2024-04-03T17:31:12.9534240Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:31:12.9592044Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:31:13.0081492Z Running cpp/test_api 1/1 ... [2024-04-03 17:31:13.007839] 2024-04-03T17:31:13.0086607Z Executing ['pytest', '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin/test_api', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-3b459d55f8a4b0aa.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2024-04-03 17:31:13.008305] 2024-04-03T17:34:32.9702890Z 2024-04-03T17:34:32.9705138Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_af2f818ab506255e_.log 2024-04-03T17:34:32.9717555Z 2024-04-03T17:34:33.5163748Z + python test/run_test.py --cpp --verbose -i cpp/test_tensorexpr 2024-04-03T17:34:33.6017439Z /var/lib/jenkins/workspace/test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-04-03T17:34:33.6018607Z import pkg_resources 2024-04-03T17:34:34.7192062Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:34:35.4867600Z Downloading https://ossci-metrics.s3.amazonaws.com/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json 2024-04-03T17:34:35.4869516Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-04-03T17:34:35.4931282Z Found test times from artifacts 2024-04-03T17:34:35.5183204Z Found test times from artifacts 2024-04-03T17:34:35.5191599Z Running all tests 2024-04-03T17:34:35.5193371Z Name: tests to run (est. time: 0.0min) 2024-04-03T17:34:35.5194080Z Serial tests (0): 2024-04-03T17:34:35.5195688Z Parallel tests (1): 2024-04-03T17:34:35.5196232Z cpp/test_tensorexpr 1/1 2024-04-03T17:34:35.5196768Z Name: excluded (est. time: 0.0min) 2024-04-03T17:34:35.5197397Z Serial tests (0): 2024-04-03T17:34:35.5197886Z Parallel tests (0): 2024-04-03T17:34:35.5198893Z Starting test batch 'tests to run' 0.0 seconds after initiating testing 2024-04-03T17:34:36.8105718Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:34:36.8111921Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:34:36.8651970Z Running cpp/test_tensorexpr 1/1 ... [2024-04-03 17:34:36.864875] 2024-04-03T17:34:36.8657152Z Executing ['pytest', '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin/test_tensorexpr', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-4bf0eefa580ab5de.xml', '-x', '--reruns=2'] ... [2024-04-03 17:34:36.865367] 2024-04-03T17:37:11.9315657Z 2024-04-03T17:37:11.9317148Z cpp/test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_tensorexpr_1.1_a5cf8a5c892d4c67_.log 2024-04-03T17:37:11.9326992Z 2024-04-03T17:37:12.4157780Z + [[ linux-focal-py3.12-clang10 != *android* ]] 2024-04-03T17:37:12.4158668Z + [[ linux-focal-py3.12-clang10 != *cuda* ]] 2024-04-03T17:37:12.4159549Z + [[ linux-focal-py3.12-clang10 != *asan* ]] 2024-04-03T17:37:12.4160293Z + export CPP_TESTS_DIR=build/bin 2024-04-03T17:37:12.4160987Z + CPP_TESTS_DIR=build/bin 2024-04-03T17:37:12.4162005Z + python test/run_test.py --cpp --verbose -i cpp/static_runtime_test 2024-04-03T17:37:12.5009866Z /var/lib/jenkins/workspace/test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-04-03T17:37:12.5012112Z import pkg_resources 2024-04-03T17:37:13.6228818Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:37:14.4264761Z Downloading https://ossci-metrics.s3.amazonaws.com/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json 2024-04-03T17:37:14.4268122Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-04-03T17:37:14.4330111Z Found test times from artifacts 2024-04-03T17:37:14.4578997Z Found test times from artifacts 2024-04-03T17:37:14.4587941Z Running all tests 2024-04-03T17:37:14.4589093Z Name: tests to run (est. time: 0.0min) 2024-04-03T17:37:14.4589737Z Serial tests (0): 2024-04-03T17:37:14.4590230Z Parallel tests (1): 2024-04-03T17:37:14.4590729Z cpp/static_runtime_test 1/1 2024-04-03T17:37:14.4591290Z Name: excluded (est. time: 0.0min) 2024-04-03T17:37:14.4592096Z Serial tests (0): 2024-04-03T17:37:14.4592575Z Parallel tests (0): 2024-04-03T17:37:14.4593555Z Starting test batch 'tests to run' 0.0 seconds after initiating testing 2024-04-03T17:37:15.7393757Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:37:15.7504475Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-04-03T17:37:15.7994007Z Running cpp/static_runtime_test 1/1 ... [2024-04-03 17:37:15.799041] 2024-04-03T17:37:15.7998454Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-90f1b43d0aa8b228.xml', '-x', '--reruns=2'] ... [2024-04-03 17:37:15.799519] 2024-04-03T17:49:50.2035922Z 2024-04-03T17:49:50.2039053Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_7c100c4ee4e37579_.log 2024-04-03T17:49:50.2040541Z 2024-04-03T17:49:50.7882818Z + [[ -z 1 ]] 2024-04-03T17:49:50.7883381Z + [[ 1 == \2 ]] 2024-04-03T17:49:50.7883730Z + assert_git_not_dirty 2024-04-03T17:49:50.7884164Z + [[ linux-focal-py3.12-clang10 != *rocm* ]] 2024-04-03T17:49:50.7887312Z + [[ linux-focal-py3.12-clang10 != *xla* ]] 2024-04-03T17:49:50.7888001Z ++ git status --porcelain 2024-04-03T17:49:50.7888484Z ++ grep -v '?? third_party' 2024-04-03T17:49:50.9065629Z ++ true 2024-04-03T17:49:50.9066180Z + git_status= 2024-04-03T17:49:50.9066821Z + [[ -n '' ]] 2024-04-03T17:49:50.9067342Z + [[ linux-focal-py3.12-clang10 == *xpu* ]] 2024-04-03T17:49:50.9165533Z ##[group]Run cat test/**/*_toprint.log || true 2024-04-03T17:49:50.9166031Z cat test/**/*_toprint.log || true 2024-04-03T17:49:50.9387168Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T17:49:50.9387681Z env: 2024-04-03T17:49:50.9387942Z GIT_DEFAULT_BRANCH: main 2024-04-03T17:49:50.9388530Z DOCKER_CONTAINER_ID: 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T17:49:50.9389182Z ##[endgroup] 2024-04-03T17:49:50.9455030Z cat: test/**/*_toprint.log: No such file or directory 2024-04-03T17:49:50.9486112Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2024-04-03T17:49:50.9486563Z kill "$MONITOR_SCRIPT_PID" 2024-04-03T17:49:50.9494034Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T17:49:50.9494550Z env: 2024-04-03T17:49:50.9494848Z GIT_DEFAULT_BRANCH: main 2024-04-03T17:49:50.9495448Z DOCKER_CONTAINER_ID: 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T17:49:50.9496103Z MONITOR_SCRIPT_PID: 23855 2024-04-03T17:49:50.9496489Z ##[endgroup] 2024-04-03T17:49:50.9678204Z Prepare all required actions 2024-04-03T17:49:50.9678660Z Getting action download info 2024-04-03T17:49:51.1651806Z Download action repository 'actions/upload-artifact@v3' (SHA:a8a3f3ad30e3422c9c7b888a15615d19a852ae32) 2024-04-03T17:49:51.3166383Z ##[group]Run ./.github/actions/upload-test-artifacts 2024-04-03T17:49:51.3166850Z with: 2024-04-03T17:49:51.3167222Z file-suffix: test-default-1-3-linux.2xlarge_23402111135 2024-04-03T17:49:51.3167717Z s3-bucket: gha-artifacts 2024-04-03T17:49:51.3168037Z env: 2024-04-03T17:49:51.3168288Z GIT_DEFAULT_BRANCH: main 2024-04-03T17:49:51.3168973Z DOCKER_CONTAINER_ID: 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T17:49:51.3169619Z ##[endgroup] 2024-04-03T17:49:51.3195963Z ##[group]Run # Remove any previous test jsons if they exist 2024-04-03T17:49:51.3196584Z # Remove any previous test jsons if they exist 2024-04-03T17:49:51.3197082Z rm -f test-jsons-*.zip 2024-04-03T17:49:51.3197620Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json' 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2024-04-03T17:49:51.5073895Z # this workflow is also run in bazel build test, but we dont generate usage reports for it 2024-04-03T17:49:51.5074954Z # so check to see if the file exists first 2024-04-03T17:49:51.5075433Z if [ -f 'usage_log.txt' ]; then 2024-04-03T17:49:51.5075952Z  zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' 2024-04-03T17:49:51.5076490Z fi 2024-04-03T17:49:51.5076854Z if ls test/**/*.log 1> /dev/null 2>&1; then 2024-04-03T17:49:51.5077416Z  zip -r "logs-${FILE_SUFFIX}.zip" test -i '*.log' 2024-04-03T17:49:51.5077897Z fi 2024-04-03T17:49:51.5085269Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T17:49:51.5085745Z env: 2024-04-03T17:49:51.5086013Z GIT_DEFAULT_BRANCH: main 2024-04-03T17:49:51.5086613Z DOCKER_CONTAINER_ID: 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T17:49:51.5087369Z FILE_SUFFIX: test-default-1-3-linux.2xlarge_23402111135 2024-04-03T17:49:51.5087847Z ##[endgroup] 2024-04-03T17:49:51.5317358Z adding: 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50%) 2024-04-03T17:49:51.7144166Z adding: test/test-reports/cpp.cpu_generator_test_1.1_73b02f6925c1f47b_.log (deflated 78%) 2024-04-03T17:49:51.7145175Z adding: test/test-reports/cpp.dlconvertor_test_1.1_0095a9a0440a3e61_.log (deflated 56%) 2024-04-03T17:49:51.7169741Z adding: test/test-reports/cpp.test_api_1.1_af2f818ab506255e_.log (deflated 93%) 2024-04-03T17:49:51.7170827Z adding: test/test-reports/cpp.extension_backend_test_1.1_409522e49dac84c9_.log (deflated 50%) 2024-04-03T17:49:51.7171865Z adding: test/test-reports/cpp.lazy_tensor_test_1.1_d92699ef109088d1_.log (deflated 54%) 2024-04-03T17:49:51.7172839Z adding: test/test-reports/cpp.wrapdim_test_1.1_75de35f3cd2c3dca_.log (deflated 49%) 2024-04-03T17:49:51.7227871Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-04-03T17:49:51.7228292Z with: 2024-04-03T17:49:51.7228564Z s3-bucket: gha-artifacts 2024-04-03T17:49:51.7228976Z s3-prefix: pytorch/pytorch/8536950919/2/artifact 2024-04-03T17:49:51.7229414Z retention-days: 14 2024-04-03T17:49:51.7229732Z if-no-files-found: warn 2024-04-03T17:49:51.7230069Z path: test-jsons-*.zip 2024-04-03T17:49:51.7230376Z name: artifact 2024-04-03T17:49:51.7230658Z region: us-east-1 2024-04-03T17:49:51.7230933Z env: 2024-04-03T17:49:51.7231167Z GIT_DEFAULT_BRANCH: main 2024-04-03T17:49:51.7231754Z DOCKER_CONTAINER_ID: 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T17:49:51.7232398Z ##[endgroup] 2024-04-03T17:49:52.1018940Z NOTE: s3-prefix specified, ignoring name parameter 2024-04-03T17:49:52.1020009Z With the provided path, there will be 1 file uploaded 2024-04-03T17:49:52.1020636Z Uploading to s3 prefix: pytorch/pytorch/8536950919/2/artifact 2024-04-03T17:49:52.2326094Z Starting upload of test-jsons-test-default-1-3-linux.2xlarge_23402111135.zip 2024-04-03T17:49:52.3764841Z Finished upload of test-jsons-test-default-1-3-linux.2xlarge_23402111135.zip 2024-04-03T17:49:52.3900534Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-04-03T17:49:52.3901039Z with: 2024-04-03T17:49:52.3901304Z s3-bucket: gha-artifacts 2024-04-03T17:49:52.3901720Z s3-prefix: pytorch/pytorch/8536950919/2/artifact 2024-04-03T17:49:52.3902313Z retention-days: 14 2024-04-03T17:49:52.3902638Z if-no-files-found: error 2024-04-03T17:49:52.3902986Z path: test-reports-*.zip 2024-04-03T17:49:52.3903303Z name: artifact 2024-04-03T17:49:52.3903588Z region: us-east-1 2024-04-03T17:49:52.3903930Z env: 2024-04-03T17:49:52.3904163Z GIT_DEFAULT_BRANCH: main 2024-04-03T17:49:52.3904756Z DOCKER_CONTAINER_ID: 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T17:49:52.3905409Z ##[endgroup] 2024-04-03T17:49:52.7353098Z NOTE: s3-prefix specified, ignoring name parameter 2024-04-03T17:49:52.7354190Z With the provided path, there will be 1 file uploaded 2024-04-03T17:49:52.7354829Z Uploading to s3 prefix: pytorch/pytorch/8536950919/2/artifact 2024-04-03T17:49:52.7388899Z Starting upload of test-reports-test-default-1-3-linux.2xlarge_23402111135.zip 2024-04-03T17:49:52.9435709Z Finished upload of test-reports-test-default-1-3-linux.2xlarge_23402111135.zip 2024-04-03T17:49:52.9570719Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-04-03T17:49:52.9571136Z with: 2024-04-03T17:49:52.9571395Z s3-bucket: gha-artifacts 2024-04-03T17:49:52.9571803Z s3-prefix: pytorch/pytorch/8536950919/2/artifact 2024-04-03T17:49:52.9572239Z retention-days: 14 2024-04-03T17:49:52.9572561Z if-no-files-found: ignore 2024-04-03T17:49:52.9572894Z path: logs-*.zip 2024-04-03T17:49:52.9573167Z name: artifact 2024-04-03T17:49:52.9573446Z region: us-east-1 2024-04-03T17:49:52.9573722Z env: 2024-04-03T17:49:52.9574077Z GIT_DEFAULT_BRANCH: main 2024-04-03T17:49:52.9574672Z DOCKER_CONTAINER_ID: 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T17:49:52.9575313Z ##[endgroup] 2024-04-03T17:49:53.2999647Z NOTE: s3-prefix specified, ignoring name parameter 2024-04-03T17:49:53.3000333Z With the provided path, there will be 1 file uploaded 2024-04-03T17:49:53.3000953Z Uploading to s3 prefix: pytorch/pytorch/8536950919/2/artifact 2024-04-03T17:49:53.3034633Z Starting upload of logs-test-default-1-3-linux.2xlarge_23402111135.zip 2024-04-03T17:49:53.6682186Z Finished upload of logs-test-default-1-3-linux.2xlarge_23402111135.zip 2024-04-03T17:49:53.6841226Z ##[group]Run # shellcheck disable=SC2156 2024-04-03T17:49:53.6841684Z # shellcheck disable=SC2156 2024-04-03T17:49:53.6842494Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2024-04-03T17:49:53.6850133Z shell: /usr/bin/bash -e {0} 2024-04-03T17:49:53.6850456Z env: 2024-04-03T17:49:53.6850712Z GIT_DEFAULT_BRANCH: main 2024-04-03T17:49:53.6851304Z DOCKER_CONTAINER_ID: 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T17:49:53.6851941Z ##[endgroup] 2024-04-03T17:49:54.6124652Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2 2024-04-03T17:49:54.6125647Z Copyright (C) 2020 Free Software Foundation, Inc. 2024-04-03T17:49:54.6126757Z License GPLv3+: GNU GPL version 3 or later 2024-04-03T17:49:54.6127797Z This is free software: you are free to change and redistribute it. 2024-04-03T17:49:54.6128499Z There is NO WARRANTY, to the extent permitted by law. 2024-04-03T17:49:54.6129051Z Type "show copying" and "show warranty" for details. 2024-04-03T17:49:54.6129661Z This GDB was configured as "x86_64-linux-gnu". 2024-04-03T17:49:54.6130195Z Type "show configuration" for configuration details. 2024-04-03T17:49:54.6130705Z For bug reporting instructions, please see: 2024-04-03T17:49:54.6131182Z . 2024-04-03T17:49:54.6131750Z Find the GDB manual and other documentation resources online at: 2024-04-03T17:49:54.6132379Z . 2024-04-03T17:49:54.6132733Z 2024-04-03T17:49:54.6132847Z For help, type "help". 2024-04-03T17:49:54.6133306Z Type "apropos word" to search for commands related to "word"... 2024-04-03T17:49:54.9159992Z Reading symbols from python... 2024-04-03T17:49:56.1133820Z 2024-04-03T17:49:56.1134768Z warning: core file may not match specified executable file. 2024-04-03T17:49:56.1404832Z [New LWP 2422] 2024-04-03T17:49:56.1405312Z [New LWP 2427] 2024-04-03T17:49:56.1405859Z [New LWP 2425] 2024-04-03T17:49:56.1406198Z [New LWP 2424] 2024-04-03T17:49:56.1406458Z [New LWP 2426] 2024-04-03T17:49:56.1407343Z [New LWP 2423] 2024-04-03T17:49:56.1407674Z [New LWP 2428] 2024-04-03T17:49:56.1407942Z [New LWP 2429] 2024-04-03T17:49:56.1463036Z [Thread debugging using libthread_db enabled] 2024-04-03T17:49:56.1463888Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2024-04-03T17:49:59.9434486Z 50 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2024-04-03T17:49:59.9435636Z Core was generated by `/opt/conda/envs/py_3.12/bin/python -c import os; os.environ["TORCH_CUSTOM_TERMI'. 2024-04-03T17:49:59.9436483Z Program terminated with signal SIGABRT, Aborted. 2024-04-03T17:49:59.9437124Z #0 __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:50 2024-04-03T17:49:59.9438432Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2024-04-03T17:49:59.9439549Z [Current thread is 1 (Thread 0x7f7ad167f280 (LWP 2422))] 2024-04-03T17:49:59.9507623Z To enable execution of this file add 2024-04-03T17:49:59.9508430Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2024-04-03T17:49:59.9509088Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:49:59.9509676Z To completely disable this security protection add 2024-04-03T17:49:59.9510190Z set auto-load safe-path / 2024-04-03T17:49:59.9510643Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:49:59.9511273Z For more information about this security protection see the 2024-04-03T17:49:59.9512064Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2024-04-03T17:49:59.9512741Z info "(gdb)Auto-loading safe path" 2024-04-03T17:49:59.9513281Z #0 __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:50 2024-04-03T17:49:59.9513906Z #1 0x00007f7ad16a2859 in __GI_abort () at abort.c:79 2024-04-03T17:50:00.0125843Z #2 0x00007f7ab802f090 in __gnu_cxx::__verbose_terminate_handler () 2024-04-03T17:50:00.0127203Z at ../../../../libstdc++-v3/libsupc++/vterminate.cc:95 2024-04-03T17:50:00.0134271Z #3 0x00007f7ac77d02ec in c10::detail::terminate_handler() () 2024-04-03T17:50:00.0135741Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_python.so 2024-04-03T17:50:00.0180372Z #4 0x00007f7ab802d57e in __cxxabiv1::__terminate (handler=) 2024-04-03T17:50:00.0181750Z at ../../../../libstdc++-v3/libsupc++/eh_terminate.cc:48 2024-04-03T17:50:00.0182946Z #5 0x00007f7ab802d5d0 in std::terminate () 2024-04-03T17:50:00.0183919Z at ../../../../libstdc++-v3/libsupc++/eh_terminate.cc:58 2024-04-03T17:50:00.0187072Z #6 0x00007f7ac77be856 in THPModule_abort(_object*, _object*) () 2024-04-03T17:50:00.0188535Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_python.so 2024-04-03T17:50:00.0204208Z #7 0x0000000000525183 in cfunction_vectorcall_NOARGS (func=0x7f7ad10b4ae0, 2024-04-03T17:50:00.0204945Z args=, nargsf=, kwnames=0x0) 2024-04-03T17:50:00.0205787Z at /usr/local/src/conda/python-3.12.2/Include/cpython/methodobject.h:50 2024-04-03T17:50:00.0219204Z #8 0x0000000000546cf1 in _PyObject_VectorcallTstate (kwnames=0x0, 2024-04-03T17:50:00.0221050Z kwnames@entry=, nargsf=9223372036854775808, 2024-04-03T17:50:00.0223595Z nargsf@entry=, args=0x7f7ad19f5078, 2024-04-03T17:50:00.0225767Z args@entry=, callable=0x7f7ad10b4ae0, 2024-04-03T17:50:00.0228439Z callable@entry=, tstate=0x9ce548 <_PyRuntime+459656>, 2024-04-03T17:50:00.0230654Z tstate@entry=) 2024-04-03T17:50:00.0232505Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_call.h:77 2024-04-03T17:50:00.0234026Z #9 PyObject_Vectorcall (callable=0x7f7ad10b4ae0, args=0x7f7ad19f5078, 2024-04-03T17:50:00.0234622Z nargsf=9223372036854775808, kwnames=0x0) 2024-04-03T17:50:00.0235239Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:325 2024-04-03T17:50:00.0235937Z #10 0x000000000052d15c in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:00.0236582Z frame=0x7f7ad19f5020, throwflag=) 2024-04-03T17:50:00.0237061Z at Python/bytecodes.c:2706 2024-04-03T17:50:00.0237547Z #11 0x00000000005f8a2e in PyEval_EvalCode (co=, 2024-04-03T17:50:00.0238121Z globals=0x7f7ad1645bc0, locals=) 2024-04-03T17:50:00.0238740Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:578 2024-04-03T17:50:00.0266995Z #12 0x000000000061d897 in run_eval_code_obj ( 2024-04-03T17:50:00.0267554Z tstate=0x9ce548 <_PyRuntime+459656>, co=0x7f7ad1618ae0, 2024-04-03T17:50:00.0268098Z globals=0x7f7ad1645bc0, locals=0x7f7ad1645bc0) 2024-04-03T17:50:00.0268795Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1722 2024-04-03T17:50:00.0315008Z #13 0x00000000006191a7 in run_mod (mod=, 2024-04-03T17:50:00.0316061Z filename=0x964020 <_PyRuntime+24160>, globals=0x7f7ad1645bc0, 2024-04-03T17:50:00.0317297Z locals=0x7f7ad1645bc0, flags=0x7ffdd19c9be0, arena=0x7f7ad1567c70) 2024-04-03T17:50:00.0318642Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1743 2024-04-03T17:50:00.0321933Z #14 0x00000000006088bf in PyRun_StringFlags (str=, start=257, 2024-04-03T17:50:00.0323283Z globals=0x7f7ad1645bc0, locals=0x7f7ad1645bc0, flags=0x7ffdd19c9be0) 2024-04-03T17:50:00.0324535Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1618 2024-04-03T17:50:00.0346736Z #15 0x000000000060881a in PyRun_SimpleStringFlags ( 2024-04-03T17:50:00.0348096Z command=0x7f7ad16263f0 "import os; os.environ[\"TORCH_CUSTOM_TERMINATE\"] ='1';", ' ' , "import torch; import torch._C; torch._C._abort()\n", flags=0x7ffdd19c9be0) 2024-04-03T17:50:00.0349381Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:480 2024-04-03T17:50:00.0362343Z #16 0x000000000062874f in pymain_run_command ( 2024-04-03T17:50:00.0364409Z command=) at /usr/local/src/conda/python-3.12.2/Modules/main.c:255 2024-04-03T17:50:00.0366224Z #17 pymain_run_python (exitcode=0x7ffdd19c9bb4) 2024-04-03T17:50:00.0367324Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:620 2024-04-03T17:50:00.0368603Z #18 Py_RunMain () at /usr/local/src/conda/python-3.12.2/Modules/main.c:709 2024-04-03T17:50:00.0380139Z #19 0x00000000005e4099 in Py_BytesMain (argc=, 2024-04-03T17:50:00.0381083Z argv=) 2024-04-03T17:50:00.0382257Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:763 2024-04-03T17:50:00.0385956Z #20 0x00007f7ad16a4083 in __libc_start_main (main=0x5e3fd0
, argc=3, 2024-04-03T17:50:00.0387156Z argv=0x7ffdd19c9e18, init=, fini=, 2024-04-03T17:50:00.0388079Z rtld_fini=, stack_end=0x7ffdd19c9e08) 2024-04-03T17:50:00.0388861Z at ../csu/libc-start.c:308 2024-04-03T17:50:00.0389537Z #21 0x00000000005e3ece in _start () 2024-04-03T17:50:00.0390618Z at /usr/local/src/conda/python-3.12.2/Parser/parser.c:35620 2024-04-03T17:50:00.1766249Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2 2024-04-03T17:50:00.1767148Z Copyright (C) 2020 Free Software Foundation, Inc. 2024-04-03T17:50:00.1768499Z License GPLv3+: GNU GPL version 3 or later 2024-04-03T17:50:00.1769783Z This is free software: you are free to change and redistribute it. 2024-04-03T17:50:00.1770824Z There is NO WARRANTY, to the extent permitted by law. 2024-04-03T17:50:00.1771738Z Type "show copying" and "show warranty" for details. 2024-04-03T17:50:00.1772728Z This GDB was configured as "x86_64-linux-gnu". 2024-04-03T17:50:00.1773742Z Type "show configuration" for configuration details. 2024-04-03T17:50:00.1774753Z For bug reporting instructions, please see: 2024-04-03T17:50:00.1775619Z . 2024-04-03T17:50:00.1776658Z Find the GDB manual and other documentation resources online at: 2024-04-03T17:50:00.1777796Z . 2024-04-03T17:50:00.1778449Z 2024-04-03T17:50:00.1778651Z For help, type "help". 2024-04-03T17:50:00.1779471Z Type "apropos word" to search for commands related to "word"... 2024-04-03T17:50:00.2962646Z Reading symbols from python... 2024-04-03T17:50:01.4125894Z 2024-04-03T17:50:01.4126716Z warning: core file may not match specified executable file. 2024-04-03T17:50:01.4313534Z [New LWP 3786] 2024-04-03T17:50:01.4314060Z [New LWP 3797] 2024-04-03T17:50:01.4314486Z [New LWP 3795] 2024-04-03T17:50:01.4314932Z [New LWP 3798] 2024-04-03T17:50:01.4315390Z [New LWP 3796] 2024-04-03T17:50:01.4315848Z [New LWP 3800] 2024-04-03T17:50:01.4316366Z [New LWP 3799] 2024-04-03T17:50:01.4316866Z [New LWP 3801] 2024-04-03T17:50:01.4341669Z [Thread debugging using libthread_db enabled] 2024-04-03T17:50:01.4343496Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2024-04-03T17:50:05.2055988Z 78 ../sysdeps/unix/syscall-template.S: No such file or directory. 2024-04-03T17:50:05.2057347Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2024-04-03T17:50:05.2058827Z Core was generated by `/opt/conda/envs/py_3.12/bin/python -bb -c from multiprocessing.spawn import spa'. 2024-04-03T17:50:05.2059694Z Program terminated with signal SIGABRT, Aborted. 2024-04-03T17:50:05.2060413Z #0 0x00007f8c8453f3db in kill () at ../sysdeps/unix/syscall-template.S:78 2024-04-03T17:50:05.2061344Z [Current thread is 1 (Thread 0x7f8c844fb280 (LWP 3786))] 2024-04-03T17:50:05.2090355Z To enable execution of this file add 2024-04-03T17:50:05.2091298Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2024-04-03T17:50:05.2091947Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:50:05.2092557Z To completely disable this security protection add 2024-04-03T17:50:05.2093070Z set auto-load safe-path / 2024-04-03T17:50:05.2093537Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:50:05.2094227Z For more information about this security protection see the 2024-04-03T17:50:05.2095018Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2024-04-03T17:50:05.2095692Z info "(gdb)Auto-loading safe path" 2024-04-03T17:50:05.2096328Z #0 0x00007f8c8453f3db in kill () at ../sysdeps/unix/syscall-template.S:78 2024-04-03T17:50:05.2103835Z #1 0x00000000005015be in os_kill_impl ( 2024-04-03T17:50:05.2104758Z module=, 2024-04-03T17:50:05.2105957Z signal=, 2024-04-03T17:50:05.2106948Z pid=) 2024-04-03T17:50:05.2107883Z at /usr/local/src/conda/python-3.12.2/Modules/posixmodule.c:8918 2024-04-03T17:50:05.2108545Z #2 os_kill (module=, args=, 2024-04-03T17:50:05.2109030Z nargs=) 2024-04-03T17:50:05.2109661Z at /usr/local/src/conda/python-3.12.2/Modules/clinic/posixmodule.c.h:5020 2024-04-03T17:50:05.2124155Z #3 0x00000000005533ac in cfunction_vectorcall_FASTCALL ( 2024-04-03T17:50:05.2125317Z func=, args=0x7f8c84871430, nargsf=9223372036854775810, 2024-04-03T17:50:05.2125889Z kwnames=) 2024-04-03T17:50:05.2126496Z at /usr/local/src/conda/python-3.12.2/Objects/methodobject.c:424 2024-04-03T17:50:05.2130479Z #4 0x0000000000546cf1 in _PyObject_VectorcallTstate (kwnames=0x0, 2024-04-03T17:50:05.2131818Z kwnames@entry=, nargsf=9223372036854775810, 2024-04-03T17:50:05.2133140Z nargsf@entry=, args=0x7f8c84871430, 2024-04-03T17:50:05.2134807Z args@entry=, callable=0x7f8c8448a930, 2024-04-03T17:50:05.2136235Z callable@entry=, tstate=0x9ce548 <_PyRuntime+459656>, 2024-04-03T17:50:05.2137564Z tstate@entry=) 2024-04-03T17:50:05.2138950Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_call.h:77 2024-04-03T17:50:05.2139744Z #5 PyObject_Vectorcall (callable=0x7f8c8448a930, args=0x7f8c84871430, 2024-04-03T17:50:05.2140317Z nargsf=9223372036854775810, kwnames=0x0) 2024-04-03T17:50:05.2141065Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:325 2024-04-03T17:50:05.2142011Z #6 0x000000000052d15c in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:05.2142884Z frame=0x7f8c848713d0, throwflag=) 2024-04-03T17:50:05.2143352Z at Python/bytecodes.c:2706 2024-04-03T17:50:05.2143847Z #7 0x00000000005f8a2e in PyEval_EvalCode (co=, 2024-04-03T17:50:05.2144413Z globals=0x7f8c844c1c80, locals=) 2024-04-03T17:50:05.2145040Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:578 2024-04-03T17:50:05.2146955Z #8 0x000000000061d897 in run_eval_code_obj ( 2024-04-03T17:50:05.2147539Z tstate=0x9ce548 <_PyRuntime+459656>, co=0x7f8c8440d2f0, 2024-04-03T17:50:05.2148068Z globals=0x7f8c844c1c80, locals=0x7f8c844c1c80) 2024-04-03T17:50:05.2148881Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1722 2024-04-03T17:50:05.2170125Z #9 0x00000000006191a7 in run_mod (mod=, 2024-04-03T17:50:05.2170732Z filename=0x964020 <_PyRuntime+24160>, globals=0x7f8c844c1c80, 2024-04-03T17:50:05.2171410Z locals=0x7f8c844c1c80, flags=0x7ffee0825e60, arena=0x7f8c843e3cb0) 2024-04-03T17:50:05.2172176Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1743 2024-04-03T17:50:05.2175812Z #10 0x00000000006088bf in PyRun_StringFlags (str=, start=257, 2024-04-03T17:50:05.2176562Z globals=0x7f8c844c1c80, locals=0x7f8c844c1c80, flags=0x7ffee0825e60) 2024-04-03T17:50:05.2177336Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1618 2024-04-03T17:50:05.2181532Z #11 0x000000000060881a in PyRun_SimpleStringFlags ( 2024-04-03T17:50:05.2182939Z command=0x7f8c84479fd0 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=6, pipe_handle=8)\n", flags=0x7ffee0825e60) 2024-04-03T17:50:05.2184091Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:480 2024-04-03T17:50:05.2184895Z #12 0x000000000062874f in pymain_run_command ( 2024-04-03T17:50:05.2186119Z command=) at /usr/local/src/conda/python-3.12.2/Modules/main.c:255 2024-04-03T17:50:05.2187149Z #13 pymain_run_python (exitcode=0x7ffee0825e34) 2024-04-03T17:50:05.2187759Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:620 2024-04-03T17:50:05.2188496Z #14 Py_RunMain () at /usr/local/src/conda/python-3.12.2/Modules/main.c:709 2024-04-03T17:50:05.2303800Z #15 0x00000000005e4099 in Py_BytesMain (argc=, 2024-04-03T17:50:05.2304330Z argv=) 2024-04-03T17:50:05.2304986Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:763 2024-04-03T17:50:05.2309627Z #16 0x00007f8c84520083 in __libc_start_main (main=0x5e3fd0
, argc=5, 2024-04-03T17:50:05.2310662Z argv=0x7ffee0826098, init=, fini=, 2024-04-03T17:50:05.2311310Z rtld_fini=, stack_end=0x7ffee0826088) 2024-04-03T17:50:05.2311882Z at ../csu/libc-start.c:308 2024-04-03T17:50:05.2312384Z #17 0x00000000005e3ece in _start () 2024-04-03T17:50:05.2312966Z at /usr/local/src/conda/python-3.12.2/Parser/parser.c:35620 2024-04-03T17:50:05.3734994Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2 2024-04-03T17:50:05.3735981Z Copyright (C) 2020 Free Software Foundation, Inc. 2024-04-03T17:50:05.3737183Z License GPLv3+: GNU GPL version 3 or later 2024-04-03T17:50:05.3737982Z This is free software: you are free to change and redistribute it. 2024-04-03T17:50:05.3738612Z There is NO WARRANTY, to the extent permitted by law. 2024-04-03T17:50:05.3739188Z Type "show copying" and "show warranty" for details. 2024-04-03T17:50:05.3739773Z This GDB was configured as "x86_64-linux-gnu". 2024-04-03T17:50:05.3740303Z Type "show configuration" for configuration details. 2024-04-03T17:50:05.3740825Z For bug reporting instructions, please see: 2024-04-03T17:50:05.3741290Z . 2024-04-03T17:50:05.3741861Z Find the GDB manual and other documentation resources online at: 2024-04-03T17:50:05.3742726Z . 2024-04-03T17:50:05.3743092Z 2024-04-03T17:50:05.3743205Z For help, type "help". 2024-04-03T17:50:05.3743664Z Type "apropos word" to search for commands related to "word"... 2024-04-03T17:50:05.4973798Z Reading symbols from python... 2024-04-03T17:50:06.6431412Z 2024-04-03T17:50:06.6432066Z warning: core file may not match specified executable file. 2024-04-03T17:50:06.6628030Z [New LWP 3820] 2024-04-03T17:50:06.6656380Z [Thread debugging using libthread_db enabled] 2024-04-03T17:50:06.6657295Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2024-04-03T17:50:10.4169962Z 50 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2024-04-03T17:50:10.4171682Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2024-04-03T17:50:10.4173209Z Core was generated by `/opt/conda/envs/py_3.12/bin/python -bb test_multiprocessing_spawn.py --shard-id'. 2024-04-03T17:50:10.4174105Z Program terminated with signal SIGABRT, Aborted. 2024-04-03T17:50:10.4174740Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2024-04-03T17:50:10.4207186Z To enable execution of this file add 2024-04-03T17:50:10.4208330Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2024-04-03T17:50:10.4209043Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:50:10.4209623Z To completely disable this security protection add 2024-04-03T17:50:10.4210178Z set auto-load safe-path / 2024-04-03T17:50:10.4210643Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:50:10.4211264Z For more information about this security protection see the 2024-04-03T17:50:10.4212063Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2024-04-03T17:50:10.4212734Z info "(gdb)Auto-loading safe path" 2024-04-03T17:50:10.4213301Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2024-04-03T17:50:10.4215847Z #1 2024-04-03T17:50:10.4216489Z #2 0x00007f4cde2233db in kill () at ../sysdeps/unix/syscall-template.S:78 2024-04-03T17:50:10.4218569Z #3 0x00000000005015be in os_kill_impl ( 2024-04-03T17:50:10.4219444Z module=, 2024-04-03T17:50:10.4220767Z signal=, 2024-04-03T17:50:10.4221898Z pid=) 2024-04-03T17:50:10.4222987Z at /usr/local/src/conda/python-3.12.2/Modules/posixmodule.c:8918 2024-04-03T17:50:10.4223651Z #4 os_kill (module=, args=, 2024-04-03T17:50:10.4224150Z nargs=) 2024-04-03T17:50:10.4224776Z at /usr/local/src/conda/python-3.12.2/Modules/clinic/posixmodule.c.h:5020 2024-04-03T17:50:10.4226220Z #5 0x00000000005533ac in cfunction_vectorcall_FASTCALL ( 2024-04-03T17:50:10.4226880Z func=, args=0x7f4cde556e00, nargsf=9223372036854775810, 2024-04-03T17:50:10.4227504Z kwnames=) 2024-04-03T17:50:10.4228074Z at /usr/local/src/conda/python-3.12.2/Objects/methodobject.c:424 2024-04-03T17:50:10.4232174Z #6 0x0000000000546cf1 in _PyObject_VectorcallTstate (kwnames=0x0, 2024-04-03T17:50:10.4233204Z kwnames@entry=, nargsf=9223372036854775810, 2024-04-03T17:50:10.4234530Z nargsf@entry=, args=0x7f4cde556e00, 2024-04-03T17:50:10.4235883Z args@entry=, callable=0x7f4cde1729d0, 2024-04-03T17:50:10.4237559Z callable@entry=, tstate=0x9ce548 <_PyRuntime+459656>, 2024-04-03T17:50:10.4238825Z tstate@entry=) 2024-04-03T17:50:10.4240016Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_call.h:77 2024-04-03T17:50:10.4241037Z #7 PyObject_Vectorcall (callable=0x7f4cde1729d0, args=0x7f4cde556e00, 2024-04-03T17:50:10.4241627Z nargsf=9223372036854775810, kwnames=0x0) 2024-04-03T17:50:10.4242444Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:325 2024-04-03T17:50:10.4243348Z #8 0x000000000052d15c in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:10.4244010Z frame=0x7f4cde556da0, throwflag=) 2024-04-03T17:50:10.4244478Z at Python/bytecodes.c:2706 2024-04-03T17:50:10.4245033Z #9 0x0000000000524e57 in _PyEval_EvalFrame ( 2024-04-03T17:50:10.4245896Z throwflag=, frame=0x7f4cde556aa0, 2024-04-03T17:50:10.4246963Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:10.4247987Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:89 2024-04-03T17:50:10.4248955Z #10 _PyEval_Vector (kwnames=0x0, argcount=, 2024-04-03T17:50:10.4249539Z args=0x7ffc21c16b50, locals=0x0, func=0x7f4c7a954c20, 2024-04-03T17:50:10.4250040Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:10.4250619Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:1683 2024-04-03T17:50:10.4251942Z #11 _PyFunction_Vectorcall (kwnames=0x0, nargsf=, 2024-04-03T17:50:10.4252811Z stack=0x7ffc21c16b50, func=0x7f4c7a954c20) 2024-04-03T17:50:10.4253407Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:419 2024-04-03T17:50:10.4255685Z #12 _PyObject_FastCallDictTstate (tstate=, 2024-04-03T17:50:10.4256667Z callable=0x7f4c7a954c20, args=0x7ffc21c16b50, nargsf=, 2024-04-03T17:50:10.4257244Z kwargs=) 2024-04-03T17:50:10.4257750Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:133 2024-04-03T17:50:10.4273154Z #13 0x00000000005626c4 in _PyObject_Call_Prepend (kwargs=0x0, 2024-04-03T17:50:10.4274085Z args=0x7f4c7a7f61a0, obj=0x7f4c7a7f63f0, callable=0x7f4c7a954c20, 2024-04-03T17:50:10.4274638Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:10.4275223Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:508 2024-04-03T17:50:10.4277460Z #14 slot_tp_init (self=0x7f4c7a7f63f0, args=0x7f4c7a7f61a0, kwds=0x0) 2024-04-03T17:50:10.4278331Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:9013 2024-04-03T17:50:10.4290578Z #15 0x0000000000520d2b in type_call (kwds=0x0, args=0x7f4c7a7f61a0, 2024-04-03T17:50:10.4291142Z type=) 2024-04-03T17:50:10.4291658Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:250 2024-04-03T17:50:10.4294587Z #16 _PyObject_MakeTpCall (tstate=0x9ce548 <_PyRuntime+459656>, 2024-04-03T17:50:10.4295366Z callable=0x69cdc40, args=, nargs=, 2024-04-03T17:50:10.4296167Z keywords=0x0) at /usr/local/src/conda/python-3.12.2/Objects/call.c:240 2024-04-03T17:50:10.4298416Z #17 0x000000000052d15c in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:10.4299080Z frame=0x7f4cde556a30, throwflag=) 2024-04-03T17:50:10.4299547Z at Python/bytecodes.c:2706 2024-04-03T17:50:10.4311140Z #18 0x000000000058228a in _PyEval_EvalFrame ( 2024-04-03T17:50:10.4312078Z throwflag=, frame=0x7f4cde556850, 2024-04-03T17:50:10.4312928Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:10.4313648Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:85 2024-04-03T17:50:10.4316011Z #19 _PyEval_Vector (kwnames=, argcount=, 2024-04-03T17:50:10.4316672Z args=0x7ffc21c16e68, locals=0x0, func=0x7f4c7cb54720, 2024-04-03T17:50:10.4317237Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:10.4317868Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:1683 2024-04-03T17:50:10.4319403Z #20 _PyFunction_Vectorcall (kwnames=, nargsf=, 2024-04-03T17:50:10.4320115Z stack=0x7ffc21c16e68, func=0x7f4c7cb54720) 2024-04-03T17:50:10.4320789Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:419 2024-04-03T17:50:10.4322594Z #21 _PyObject_VectorcallTstate (tstate=, 2024-04-03T17:50:10.4323535Z callable=0x7f4c7cb54720, args=0x7ffc21c16e68, nargsf=, 2024-04-03T17:50:10.4324121Z kwnames=) 2024-04-03T17:50:10.4324750Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_call.h:92 2024-04-03T17:50:10.4335570Z #22 0x0000000000581da8 in method_vectorcall (method=, 2024-04-03T17:50:10.4336463Z args=0x970bc0 <_PyRuntime+76288>, nargsf=0, kwnames=0x0) 2024-04-03T17:50:10.4337793Z at /usr/local/src/conda/python-3.12.2/Objects/classobject.c:69 2024-04-03T17:50:10.4338371Z #23 0x000000000053179f in PyCFunction_Call ( 2024-04-03T17:50:10.4339121Z kwargs=, 2024-04-03T17:50:10.4340330Z args=, 2024-04-03T17:50:10.4341848Z callable=) at /usr/local/src/conda/python-3.12.2/Objects/call.c:387 2024-04-03T17:50:10.4343776Z #24 _PyEval_EvalFrameDefault (tstate=, frame=0x7f4cde5567b0, 2024-04-03T17:50:10.4344471Z throwflag=) at Python/bytecodes.c:3254 2024-04-03T17:50:10.4344990Z #25 0x000000000058228a in _PyEval_EvalFrame ( 2024-04-03T17:50:10.4345864Z throwflag=, frame=0x7f4cde556488, 2024-04-03T17:50:10.4346780Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:10.4347686Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:85 2024-04-03T17:50:10.4348524Z #26 _PyEval_Vector (kwnames=, argcount=, 2024-04-03T17:50:10.4349181Z args=0x7f4c7d808cf0, locals=0x0, func=0x7f4c7cb2f060, 2024-04-03T17:50:10.4349777Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:10.4350355Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:1683 2024-04-03T17:50:10.4351056Z #27 _PyFunction_Vectorcall (kwnames=, nargsf=, 2024-04-03T17:50:10.4351785Z stack=0x7f4c7d808cf0, func=0x7f4c7cb2f060) 2024-04-03T17:50:10.4352368Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:419 2024-04-03T17:50:10.4354018Z #28 _PyObject_VectorcallTstate (tstate=, 2024-04-03T17:50:10.4354761Z callable=0x7f4c7cb2f060, args=0x7f4c7d808cf0, nargsf=, 2024-04-03T17:50:10.4355406Z kwnames=) 2024-04-03T17:50:10.4356029Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_call.h:92 2024-04-03T17:50:10.4359552Z #29 0x0000000000581d65 in method_vectorcall ( 2024-04-03T17:50:10.4360658Z method=method@entry=0x7f4c7a8167c0, args=args@entry=0x7f4c7d808cf8, 2024-04-03T17:50:10.4361272Z nargsf=, kwnames=0x7f4c7c643f70) 2024-04-03T17:50:10.4361954Z at /usr/local/src/conda/python-3.12.2/Objects/classobject.c:61 2024-04-03T17:50:10.4363165Z #30 0x0000000000565972 in _PyVectorcall_Call (kwargs=, 2024-04-03T17:50:10.4364112Z tuple=, callable=0x7f4c7a8167c0, 2024-04-03T17:50:10.4364864Z func=0x581a50 , tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:10.4366037Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:283 2024-04-03T17:50:10.4367146Z #31 _PyObject_Call (tstate=0x9ce548 <_PyRuntime+459656>, 2024-04-03T17:50:10.4367917Z callable=0x7f4c7a8167c0, args=, kwargs=) 2024-04-03T17:50:10.4368660Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:354 2024-04-03T17:50:10.4369408Z #32 0x000000000053179f in PyCFunction_Call ( 2024-04-03T17:50:10.4370134Z kwargs=, 2024-04-03T17:50:10.4371143Z args=, 2024-04-03T17:50:10.4372560Z callable=) at /usr/local/src/conda/python-3.12.2/Objects/call.c:387 2024-04-03T17:50:10.4374126Z #33 _PyEval_EvalFrameDefault (tstate=, frame=0x7f4cde556400, 2024-04-03T17:50:10.4374836Z throwflag=) at Python/bytecodes.c:3254 2024-04-03T17:50:10.4375614Z #34 0x0000000000524eef in _PyObject_FastCallDictTstate ( 2024-04-03T17:50:10.4376239Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4cddd4b2e0, 2024-04-03T17:50:10.4376920Z args=0x7ffc21c17430, nargsf=, kwargs=) 2024-04-03T17:50:10.4377660Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:144 2024-04-03T17:50:10.4379926Z #35 0x0000000000562bd6 in _PyObject_Call_Prepend ( 2024-04-03T17:50:10.4380537Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4cddd4b2e0, 2024-04-03T17:50:10.4381209Z obj=0x7f4c7a7f6690, args=, kwargs=0x7f4c7a816600) 2024-04-03T17:50:10.4381919Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:508 2024-04-03T17:50:10.4394521Z #36 0x000000000063f816 in slot_tp_call (self=0x7f4c7a7f6690, 2024-04-03T17:50:10.4395116Z args=0x970ba8 <_PyRuntime+76264>, kwds=0x7f4c7a816600) 2024-04-03T17:50:10.4395826Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:8769 2024-04-03T17:50:10.4399342Z #37 0x0000000000520d4b in _PyObject_MakeTpCall ( 2024-04-03T17:50:10.4400296Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7a7f6690, 2024-04-03T17:50:10.4400994Z args=, nargs=, keywords=0x7f4c7c86fee0) 2024-04-03T17:50:10.4401871Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:144 2024-04-03T17:50:10.4403199Z #38 0x000000000052d15c in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:10.4404056Z frame=0x7f4cde556370, throwflag=) 2024-04-03T17:50:10.4404528Z at Python/bytecodes.c:2706 2024-04-03T17:50:10.4407672Z #39 0x0000000000524eef in _PyObject_FastCallDictTstate ( 2024-04-03T17:50:10.4408639Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7cbb5ee0, 2024-04-03T17:50:10.4409435Z args=0x7ffc21c17780, nargsf=, kwargs=) 2024-04-03T17:50:10.4410201Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:144 2024-04-03T17:50:10.4412935Z #40 0x0000000000562bd6 in _PyObject_Call_Prepend ( 2024-04-03T17:50:10.4413847Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7cbb5ee0, 2024-04-03T17:50:10.4414591Z obj=0x7f4c7c87de90, args=, kwargs=0x7f4c7a815a40) 2024-04-03T17:50:10.4415399Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:508 2024-04-03T17:50:10.4417104Z #41 0x000000000063f816 in slot_tp_call (self=0x7f4c7c87de90, 2024-04-03T17:50:10.4417782Z args=0x970ba8 <_PyRuntime+76264>, kwds=0x7f4c7a815a40) 2024-04-03T17:50:10.4418494Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:8769 2024-04-03T17:50:10.4420454Z #42 0x0000000000565905 in _PyObject_Call ( 2024-04-03T17:50:10.4421406Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7c87de90, 2024-04-03T17:50:10.4422644Z args=0x970ba8 <_PyRuntime+76264>, kwargs=) 2024-04-03T17:50:10.4423313Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:367 2024-04-03T17:50:10.4423840Z #43 0x000000000053179f in PyCFunction_Call ( 2024-04-03T17:50:10.4424587Z kwargs=, 2024-04-03T17:50:10.4426097Z args=, 2024-04-03T17:50:10.4427518Z callable=) at /usr/local/src/conda/python-3.12.2/Objects/call.c:387 2024-04-03T17:50:10.4428711Z #44 _PyEval_EvalFrameDefault (tstate=, frame=0x7f4cde556008, 2024-04-03T17:50:10.4429425Z throwflag=) at Python/bytecodes.c:3254 2024-04-03T17:50:10.4430464Z #45 0x0000000000524eef in _PyObject_FastCallDictTstate ( 2024-04-03T17:50:10.4431068Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7cbb5ee0, 2024-04-03T17:50:10.4431759Z args=0x7ffc21c17ad0, nargsf=, kwargs=) 2024-04-03T17:50:10.4432478Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:144 2024-04-03T17:50:10.4435701Z #46 0x0000000000562bd6 in _PyObject_Call_Prepend ( 2024-04-03T17:50:10.4436540Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7cbb5ee0, 2024-04-03T17:50:10.4437205Z obj=0x7f4c7c87e020, args=, kwargs=0x7f4c7bf08600) 2024-04-03T17:50:10.4437908Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:508 2024-04-03T17:50:10.4439645Z #47 0x000000000063f816 in slot_tp_call (self=0x7f4c7c87e020, 2024-04-03T17:50:10.4440537Z args=0x970ba8 <_PyRuntime+76264>, kwds=0x7f4c7bf08600) 2024-04-03T17:50:10.4441246Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:8769 2024-04-03T17:50:10.4444458Z #48 0x0000000000520d4b in _PyObject_MakeTpCall ( 2024-04-03T17:50:10.4445317Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7c87e020, 2024-04-03T17:50:10.4446013Z args=, nargs=, keywords=0x7f4c7cac3b00) 2024-04-03T17:50:10.4447020Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:144 2024-04-03T17:50:10.4447887Z #49 0x000000000052d15c in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:10.4448543Z frame=0x7f4cde555968, throwflag=) 2024-04-03T17:50:10.4449014Z at Python/bytecodes.c:2706 2024-04-03T17:50:10.4452377Z #50 0x0000000000524eef in _PyObject_FastCallDictTstate ( 2024-04-03T17:50:10.4453003Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7cbb5ee0, 2024-04-03T17:50:10.4453695Z args=0x7ffc21c17e20, nargsf=, kwargs=) 2024-04-03T17:50:10.4454509Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:144 2024-04-03T17:50:10.4457707Z #51 0x0000000000562bd6 in _PyObject_Call_Prepend ( 2024-04-03T17:50:10.4458318Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7cbb5ee0, 2024-04-03T17:50:10.4459083Z obj=0x7f4c7c87e110, args=, kwargs=0x7f4c7ca17d80) 2024-04-03T17:50:10.4459833Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:508 2024-04-03T17:50:10.4462231Z #52 0x000000000063f816 in slot_tp_call (self=0x7f4c7c87e110, 2024-04-03T17:50:10.4462837Z args=0x970ba8 <_PyRuntime+76264>, kwds=0x7f4c7ca17d80) 2024-04-03T17:50:10.4463534Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:8769 2024-04-03T17:50:10.4467454Z #53 0x0000000000520d4b in _PyObject_MakeTpCall ( 2024-04-03T17:50:10.4468118Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7c87e110, 2024-04-03T17:50:10.4468795Z args=, nargs=, keywords=0x7f4c7ca882e0) 2024-04-03T17:50:10.4469655Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:144 2024-04-03T17:50:10.4470896Z #54 0x000000000052d15c in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:10.4471566Z frame=0x7f4cde555690, throwflag=) 2024-04-03T17:50:10.4472027Z at Python/bytecodes.c:2706 2024-04-03T17:50:10.4475365Z #55 0x0000000000524eef in _PyObject_FastCallDictTstate ( 2024-04-03T17:50:10.4476004Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7cbb5ee0, 2024-04-03T17:50:10.4476684Z args=0x7ffc21c18170, nargsf=, kwargs=) 2024-04-03T17:50:10.4477422Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:144 2024-04-03T17:50:10.4480704Z #56 0x0000000000562bd6 in _PyObject_Call_Prepend ( 2024-04-03T17:50:10.4481296Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7cbb5ee0, 2024-04-03T17:50:10.4481944Z obj=0x7f4c7c87d350, args=, kwargs=0x7f4c7c660080) 2024-04-03T17:50:10.4482658Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:508 2024-04-03T17:50:10.4484704Z #57 0x000000000063f816 in slot_tp_call (self=0x7f4c7c87d350, 2024-04-03T17:50:10.4485596Z args=0x970ba8 <_PyRuntime+76264>, kwds=0x7f4c7c660080) 2024-04-03T17:50:10.4486302Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:8769 2024-04-03T17:50:10.4488905Z #58 0x0000000000520d4b in _PyObject_MakeTpCall ( 2024-04-03T17:50:10.4489518Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f4c7c87d350, 2024-04-03T17:50:10.4490364Z args=, nargs=, keywords=0x7f4c7ca889a0) 2024-04-03T17:50:10.4491231Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:144 2024-04-03T17:50:10.4492395Z #59 0x000000000052d15c in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:10.4493040Z frame=0x7f4cde555218, throwflag=) 2024-04-03T17:50:10.4493516Z at Python/bytecodes.c:2706 2024-04-03T17:50:10.4495918Z #60 0x00000000005f8a2e in PyEval_EvalCode (co=, 2024-04-03T17:50:10.4496495Z globals=0x7f4cde1a5f00, locals=) 2024-04-03T17:50:10.4497136Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:578 2024-04-03T17:50:10.4500587Z #61 0x000000000061d897 in run_eval_code_obj ( 2024-04-03T17:50:10.4501188Z tstate=0x9ce548 <_PyRuntime+459656>, co=0x1059d00, 2024-04-03T17:50:10.4501698Z globals=0x7f4cde1a5f00, locals=0x7f4cde1a5f00) 2024-04-03T17:50:10.4502483Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1722 2024-04-03T17:50:10.4525402Z #62 0x00000000006191a7 in run_mod (mod=, 2024-04-03T17:50:10.4526444Z filename=0x7f4cde0f6410, globals=0x7f4cde1a5f00, locals=0x7f4cde1a5f00, 2024-04-03T17:50:10.4527077Z flags=0x7ffc21c18680, arena=0x7f4cde0c7cb0) 2024-04-03T17:50:10.4527738Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1743 2024-04-03T17:50:10.4544889Z #63 0x000000000062ecf2 in pyrun_file (fp=fp@entry=0xf89490, 2024-04-03T17:50:10.4545748Z filename=filename@entry=0x7f4cde0f6410, start=start@entry=257, 2024-04-03T17:50:10.4546478Z globals=globals@entry=0x7f4cde1a5f00, locals=locals@entry=0x7f4cde1a5f00, 2024-04-03T17:50:10.4547122Z closeit=closeit@entry=1, flags=0x7ffc21c18680) 2024-04-03T17:50:10.4547873Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1643 2024-04-03T17:50:10.4549702Z #64 0x000000000062e630 in _PyRun_SimpleFileObject (fp=0xf89490, 2024-04-03T17:50:10.4550336Z filename=0x7f4cde0f6410, closeit=1, flags=0x7ffc21c18680) 2024-04-03T17:50:10.4551031Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:433 2024-04-03T17:50:10.4554946Z #65 0x000000000062e423 in _PyRun_AnyFileObject (fp=0xf89490, 2024-04-03T17:50:10.4555669Z filename=0x7f4cde0f6410, closeit=1, flags=0x7ffc21c18680) 2024-04-03T17:50:10.4556361Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:78 2024-04-03T17:50:10.4558913Z #66 0x00000000006285f3 in pymain_run_file_obj (skip_source_first_line=0, 2024-04-03T17:50:10.4559719Z filename=0x7f4cde0f6410, program_name=0x7f4cddf5e290) 2024-04-03T17:50:10.4560391Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:360 2024-04-03T17:50:10.4561022Z #67 pymain_run_file (config=0x971128 <_PyRuntime+77672>) 2024-04-03T17:50:10.4561720Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:379 2024-04-03T17:50:10.4562274Z #68 pymain_run_python (exitcode=0x7ffc21c18654) 2024-04-03T17:50:10.4562863Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:629 2024-04-03T17:50:10.4563649Z #69 Py_RunMain () at /usr/local/src/conda/python-3.12.2/Modules/main.c:709 2024-04-03T17:50:10.4681326Z #70 0x00000000005e4099 in Py_BytesMain (argc=, 2024-04-03T17:50:10.4681857Z argv=) 2024-04-03T17:50:10.4682367Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:763 2024-04-03T17:50:10.4686062Z #71 0x00007f4cde204083 in __libc_start_main (main=0x5e3fd0
, argc=17, 2024-04-03T17:50:10.4686941Z argv=0x7ffc21c188b8, init=, fini=, 2024-04-03T17:50:10.4687559Z rtld_fini=, stack_end=0x7ffc21c188a8) 2024-04-03T17:50:10.4688087Z at ../csu/libc-start.c:308 2024-04-03T17:50:10.4688448Z #72 0x00000000005e3ece in _start () 2024-04-03T17:50:10.4689003Z at /usr/local/src/conda/python-3.12.2/Parser/parser.c:35620 2024-04-03T17:50:10.6168334Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2 2024-04-03T17:50:10.6168940Z Copyright (C) 2020 Free Software Foundation, Inc. 2024-04-03T17:50:10.6169889Z License GPLv3+: GNU GPL version 3 or later 2024-04-03T17:50:10.6170697Z This is free software: you are free to change and redistribute it. 2024-04-03T17:50:10.6171351Z There is NO WARRANTY, to the extent permitted by law. 2024-04-03T17:50:10.6171897Z Type "show copying" and "show warranty" for details. 2024-04-03T17:50:10.6172494Z This GDB was configured as "x86_64-linux-gnu". 2024-04-03T17:50:10.6173021Z Type "show configuration" for configuration details. 2024-04-03T17:50:10.6173530Z For bug reporting instructions, please see: 2024-04-03T17:50:10.6174116Z . 2024-04-03T17:50:10.6174684Z Find the GDB manual and other documentation resources online at: 2024-04-03T17:50:10.6175297Z . 2024-04-03T17:50:10.6175670Z 2024-04-03T17:50:10.6175783Z For help, type "help". 2024-04-03T17:50:10.6176245Z Type "apropos word" to search for commands related to "word"... 2024-04-03T17:50:10.7423810Z Reading symbols from python... 2024-04-03T17:50:11.8846865Z 2024-04-03T17:50:11.8847650Z warning: core file may not match specified executable file. 2024-04-03T17:50:11.9041071Z [New LWP 6703] 2024-04-03T17:50:11.9041609Z [New LWP 6715] 2024-04-03T17:50:11.9042046Z [New LWP 6717] 2024-04-03T17:50:11.9042313Z [New LWP 6712] 2024-04-03T17:50:11.9042580Z [New LWP 6713] 2024-04-03T17:50:11.9042845Z [New LWP 6708] 2024-04-03T17:50:11.9043095Z [New LWP 6719] 2024-04-03T17:50:11.9043363Z [New LWP 6710] 2024-04-03T17:50:11.9069848Z [Thread debugging using libthread_db enabled] 2024-04-03T17:50:11.9070937Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2024-04-03T17:50:15.6672261Z 50 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2024-04-03T17:50:15.6674444Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2024-04-03T17:50:15.6675961Z Core was generated by `/opt/conda/envs/py_3.12/bin/python -bb -c from multiprocessing.spawn import spa'. 2024-04-03T17:50:15.6676871Z Program terminated with signal SIGSEGV, Segmentation fault. 2024-04-03T17:50:15.6677622Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2024-04-03T17:50:15.6678283Z [Current thread is 1 (Thread 0x7fc2f71d8280 (LWP 6703))] 2024-04-03T17:50:15.6709793Z To enable execution of this file add 2024-04-03T17:50:15.6710851Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2024-04-03T17:50:15.6711549Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:50:15.6712298Z To completely disable this security protection add 2024-04-03T17:50:15.6712806Z set auto-load safe-path / 2024-04-03T17:50:15.6713274Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:50:15.6713908Z For more information about this security protection see the 2024-04-03T17:50:15.6714699Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2024-04-03T17:50:15.6715364Z info "(gdb)Auto-loading safe path" 2024-04-03T17:50:15.6715925Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2024-04-03T17:50:15.6716646Z #1 0x00007fc2ed18b426 in handler_SIGSEGV(int, siginfo_t*, void*) () 2024-04-03T17:50:15.6717543Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_python.so 2024-04-03T17:50:15.6718385Z #2 2024-04-03T17:50:15.6718936Z #3 __strlen_avx2 () at ../sysdeps/x86_64/multiarch/strlen-avx2.S:65 2024-04-03T17:50:15.6949028Z #4 0x00007fc2f6d7fb35 in string_at (ptr=0x0, size=-1) 2024-04-03T17:50:15.6950095Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/_ctypes.c:5528 2024-04-03T17:50:15.6950872Z #5 0x00007fc2f6daa052 in ffi_call_unix64 () 2024-04-03T17:50:15.6951574Z from /opt/conda/envs/py_3.12/lib/python3.12/lib-dynload/../../libffi.so.8 2024-04-03T17:50:15.6955702Z #6 0x00007fc2f6da8925 in ffi_call_int () 2024-04-03T17:50:15.6956607Z from /opt/conda/envs/py_3.12/lib/python3.12/lib-dynload/../../libffi.so.8 2024-04-03T17:50:15.6960857Z #7 0x00007fc2f6da906e in ffi_call () 2024-04-03T17:50:15.6961530Z from /opt/conda/envs/py_3.12/lib/python3.12/lib-dynload/../../libffi.so.8 2024-04-03T17:50:15.6965151Z #8 0x00007fc2f6d88d55 in _call_function_pointer ( 2024-04-03T17:50:15.6965911Z argtypecount=, argcount=2, resmem=0x7fff55416ef0, 2024-04-03T17:50:15.6966666Z restype=, atypes=, avalues=, 2024-04-03T17:50:15.6967304Z pProc=0x7fc2f6d7fafc , flags=4357) 2024-04-03T17:50:15.6968016Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/callproc.c:931 2024-04-03T17:50:15.6968923Z #9 _ctypes_callproc (pProc=0x7fc2f6d7fafc , 2024-04-03T17:50:15.6969620Z argtuple=0x7fc296091940, flags=4357, argtypes=, 2024-04-03T17:50:15.6970184Z restype=, checker=0x0) 2024-04-03T17:50:15.6970914Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/callproc.c:1273 2024-04-03T17:50:15.6971788Z #10 0x00007fc2f6d8895a in PyCFuncPtr_call (self=, 2024-04-03T17:50:15.6972346Z inargs=, kwds=0x0) 2024-04-03T17:50:15.6972999Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/_ctypes.c:4167 2024-04-03T17:50:15.6976647Z #11 0x0000000000520d4b in _PyObject_MakeTpCall ( 2024-04-03T17:50:15.6977626Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7fc2f6c8c4d0, 2024-04-03T17:50:15.6978268Z args=, nargs=, keywords=0x0) 2024-04-03T17:50:15.6979068Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:144 2024-04-03T17:50:15.6980963Z #12 0x000000000052d15c in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:15.6981957Z frame=0x7fc2f754e590, throwflag=) 2024-04-03T17:50:15.6982540Z at Python/bytecodes.c:2706 2024-04-03T17:50:15.6994385Z #13 0x00000000005a636b in _PyEval_EvalFrame ( 2024-04-03T17:50:15.6995605Z throwflag=, frame=0x7fc2f754e520, 2024-04-03T17:50:15.6996460Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:15.6997235Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:85 2024-04-03T17:50:15.6999189Z #14 _PyEval_Vector (kwnames=0x0, argcount=, 2024-04-03T17:50:15.7000073Z args=0x7fff55417330, locals=0x0, func=0x7fc295aee200, 2024-04-03T17:50:15.7000574Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:15.7001148Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:1683 2024-04-03T17:50:15.7002565Z #15 _PyFunction_Vectorcall (kwnames=0x0, nargsf=, 2024-04-03T17:50:15.7003203Z stack=0x7fff55417330, func=0x7fc295aee200) 2024-04-03T17:50:15.7003806Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:419 2024-04-03T17:50:15.7005107Z #16 _PyObject_VectorcallTstate (kwnames=0x0, nargsf=, 2024-04-03T17:50:15.7006215Z args=, callable=0x7fc295aee200, 2024-04-03T17:50:15.7007087Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:15.7007761Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_call.h:92 2024-04-03T17:50:15.7008513Z #17 vectorcall_unbound ( 2024-04-03T17:50:15.7009654Z nargs=, args=, 2024-04-03T17:50:15.7011130Z func=, 2024-04-03T17:50:15.7012138Z unbound=, 2024-04-03T17:50:15.7013389Z tstate=) 2024-04-03T17:50:15.7014740Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:2230 2024-04-03T17:50:15.7015301Z #18 vectorcall_method (nargs=2, 2024-04-03T17:50:15.7016399Z nargs@entry=, args=0x7fff55417330, 2024-04-03T17:50:15.7018210Z args@entry=, name=0x965238 <_PyRuntime+28792>) 2024-04-03T17:50:15.7019309Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:2261 2024-04-03T17:50:15.7020005Z #19 slot_mp_subscript (self=, arg1=) 2024-04-03T17:50:15.7020763Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:8542 2024-04-03T17:50:15.7021649Z #20 0x000000000052de8e in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:15.7023116Z frame=0x7fc2f754e490, throwflag=) at Python/bytecodes.c:413 2024-04-03T17:50:15.7023856Z #21 0x00000000005f8a2e in PyEval_EvalCode (co=, 2024-04-03T17:50:15.7024436Z globals=0x7fc2f71a1c80, locals=) 2024-04-03T17:50:15.7025050Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:578 2024-04-03T17:50:15.7025589Z #22 0x000000000061d897 in run_eval_code_obj ( 2024-04-03T17:50:15.7026106Z tstate=0x9ce548 <_PyRuntime+459656>, co=0x7fc2f70ed2f0, 2024-04-03T17:50:15.7026642Z globals=0x7fc2f71a1c80, locals=0x7fc2f71a1c80) 2024-04-03T17:50:15.7027298Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1722 2024-04-03T17:50:15.7045338Z #23 0x00000000006191a7 in run_mod (mod=, 2024-04-03T17:50:15.7045955Z filename=0x964020 <_PyRuntime+24160>, globals=0x7fc2f71a1c80, 2024-04-03T17:50:15.7046621Z locals=0x7fc2f71a1c80, flags=0x7fff554176e0, arena=0x7fc2f70c3cb0) 2024-04-03T17:50:15.7047372Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1743 2024-04-03T17:50:15.7050926Z #24 0x00000000006088bf in PyRun_StringFlags (str=, start=257, 2024-04-03T17:50:15.7052098Z globals=0x7fc2f71a1c80, locals=0x7fc2f71a1c80, flags=0x7fff554176e0) 2024-04-03T17:50:15.7052873Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1618 2024-04-03T17:50:15.7056677Z #25 0x000000000060881a in PyRun_SimpleStringFlags ( 2024-04-03T17:50:15.7058501Z command=0x7fc2f7159fd0 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=8, pipe_handle=15)\n", flags=0x7fff554176e0) 2024-04-03T17:50:15.7059700Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:480 2024-04-03T17:50:15.7060430Z #26 0x000000000062874f in pymain_run_command ( 2024-04-03T17:50:15.7061573Z command=) at /usr/local/src/conda/python-3.12.2/Modules/main.c:255 2024-04-03T17:50:15.7062738Z #27 pymain_run_python (exitcode=0x7fff554176b4) 2024-04-03T17:50:15.7063344Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:620 2024-04-03T17:50:15.7064087Z #28 Py_RunMain () at /usr/local/src/conda/python-3.12.2/Modules/main.c:709 2024-04-03T17:50:15.7178965Z #29 0x00000000005e4099 in Py_BytesMain (argc=, 2024-04-03T17:50:15.7179507Z argv=) 2024-04-03T17:50:15.7180032Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:763 2024-04-03T17:50:15.7183601Z #30 0x00007fc2f71fd083 in __libc_start_main (main=0x5e3fd0
, argc=5, 2024-04-03T17:50:15.7184714Z argv=0x7fff55417918, init=, fini=, 2024-04-03T17:50:15.7185342Z rtld_fini=, stack_end=0x7fff55417908) 2024-04-03T17:50:15.7185875Z at ../csu/libc-start.c:308 2024-04-03T17:50:15.7186227Z #31 0x00000000005e3ece in _start () 2024-04-03T17:50:15.7186798Z at /usr/local/src/conda/python-3.12.2/Parser/parser.c:35620 2024-04-03T17:50:15.8722171Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2 2024-04-03T17:50:15.8723019Z Copyright (C) 2020 Free Software Foundation, Inc. 2024-04-03T17:50:15.8724169Z License GPLv3+: GNU GPL version 3 or later 2024-04-03T17:50:15.8724979Z This is free software: you are free to change and redistribute it. 2024-04-03T17:50:15.8725626Z There is NO WARRANTY, to the extent permitted by law. 2024-04-03T17:50:15.8726412Z Type "show copying" and "show warranty" for details. 2024-04-03T17:50:15.8727024Z This GDB was configured as "x86_64-linux-gnu". 2024-04-03T17:50:15.8727560Z Type "show configuration" for configuration details. 2024-04-03T17:50:15.8728069Z For bug reporting instructions, please see: 2024-04-03T17:50:15.8728541Z . 2024-04-03T17:50:15.8729107Z Find the GDB manual and other documentation resources online at: 2024-04-03T17:50:15.8729720Z . 2024-04-03T17:50:15.8730090Z 2024-04-03T17:50:15.8730202Z For help, type "help". 2024-04-03T17:50:15.8730667Z Type "apropos word" to search for commands related to "word"... 2024-04-03T17:50:15.9915376Z Reading symbols from python... 2024-04-03T17:50:17.0865006Z 2024-04-03T17:50:17.0865685Z warning: core file may not match specified executable file. 2024-04-03T17:50:17.1055697Z [New LWP 6704] 2024-04-03T17:50:17.1056133Z [New LWP 6707] 2024-04-03T17:50:17.1056460Z [New LWP 6709] 2024-04-03T17:50:17.1056748Z [New LWP 6714] 2024-04-03T17:50:17.1057016Z [New LWP 6711] 2024-04-03T17:50:17.1057272Z [New LWP 6716] 2024-04-03T17:50:17.1057547Z [New LWP 6718] 2024-04-03T17:50:17.1057813Z [New LWP 6720] 2024-04-03T17:50:17.1083067Z [Thread debugging using libthread_db enabled] 2024-04-03T17:50:17.1083906Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2024-04-03T17:50:20.8556189Z 50 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2024-04-03T17:50:20.8557628Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2024-04-03T17:50:20.8559137Z Core was generated by `/opt/conda/envs/py_3.12/bin/python -bb -c from multiprocessing.spawn import spa'. 2024-04-03T17:50:20.8560311Z Program terminated with signal SIGSEGV, Segmentation fault. 2024-04-03T17:50:20.8560987Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2024-04-03T17:50:20.8561672Z [Current thread is 1 (Thread 0x7f13146c0280 (LWP 6704))] 2024-04-03T17:50:20.8596119Z To enable execution of this file add 2024-04-03T17:50:20.8597329Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2024-04-03T17:50:20.8598340Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:50:20.8598933Z To completely disable this security protection add 2024-04-03T17:50:20.8599448Z set auto-load safe-path / 2024-04-03T17:50:20.8599901Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:50:20.8600533Z For more information about this security protection see the 2024-04-03T17:50:20.8601328Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2024-04-03T17:50:20.8601987Z info "(gdb)Auto-loading safe path" 2024-04-03T17:50:20.8602546Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2024-04-03T17:50:20.8603256Z #1 0x00007f130a673426 in handler_SIGSEGV(int, siginfo_t*, void*) () 2024-04-03T17:50:20.8604275Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_python.so 2024-04-03T17:50:20.8604968Z #2 2024-04-03T17:50:20.8605523Z #3 __strlen_avx2 () at ../sysdeps/x86_64/multiarch/strlen-avx2.S:65 2024-04-03T17:50:20.8848710Z #4 0x00007f1314267b35 in string_at (ptr=0x0, size=-1) 2024-04-03T17:50:20.8849811Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/_ctypes.c:5528 2024-04-03T17:50:20.8850437Z #5 0x00007f1314292052 in ffi_call_unix64 () 2024-04-03T17:50:20.8851128Z from /opt/conda/envs/py_3.12/lib/python3.12/lib-dynload/../../libffi.so.8 2024-04-03T17:50:20.8854653Z #6 0x00007f1314290925 in ffi_call_int () 2024-04-03T17:50:20.8855688Z from /opt/conda/envs/py_3.12/lib/python3.12/lib-dynload/../../libffi.so.8 2024-04-03T17:50:20.8860176Z #7 0x00007f131429106e in ffi_call () 2024-04-03T17:50:20.8861195Z from /opt/conda/envs/py_3.12/lib/python3.12/lib-dynload/../../libffi.so.8 2024-04-03T17:50:20.8865515Z #8 0x00007f1314270d55 in _call_function_pointer ( 2024-04-03T17:50:20.8866316Z argtypecount=, argcount=2, resmem=0x7fff72d30ad0, 2024-04-03T17:50:20.8867078Z restype=, atypes=, avalues=, 2024-04-03T17:50:20.8867710Z pProc=0x7f1314267afc , flags=4357) 2024-04-03T17:50:20.8868426Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/callproc.c:931 2024-04-03T17:50:20.8869388Z #9 _ctypes_callproc (pProc=0x7f1314267afc , 2024-04-03T17:50:20.8870328Z argtuple=0x7f12b3575cc0, flags=4357, argtypes=, 2024-04-03T17:50:20.8870895Z restype=, checker=0x0) 2024-04-03T17:50:20.8871577Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/callproc.c:1273 2024-04-03T17:50:20.8872554Z #10 0x00007f131427095a in PyCFuncPtr_call (self=, 2024-04-03T17:50:20.8873413Z inargs=, kwds=0x0) 2024-04-03T17:50:20.8874067Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/_ctypes.c:4167 2024-04-03T17:50:20.8877602Z #11 0x0000000000520d4b in _PyObject_MakeTpCall ( 2024-04-03T17:50:20.8878492Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f13141744d0, 2024-04-03T17:50:20.8879136Z args=, nargs=, keywords=0x0) 2024-04-03T17:50:20.8879943Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:144 2024-04-03T17:50:20.8882324Z #12 0x000000000052d15c in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:20.8883079Z frame=0x7f1314a36590, throwflag=) 2024-04-03T17:50:20.8883552Z at Python/bytecodes.c:2706 2024-04-03T17:50:20.8884488Z #13 0x00000000005a636b in _PyEval_EvalFrame ( 2024-04-03T17:50:20.8885404Z throwflag=, frame=0x7f1314a36520, 2024-04-03T17:50:20.8886403Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:20.8887147Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:85 2024-04-03T17:50:20.8889299Z #14 _PyEval_Vector (kwnames=0x0, argcount=, 2024-04-03T17:50:20.8889896Z args=0x7fff72d30f10, locals=0x0, func=0x7f12b2fd6200, 2024-04-03T17:50:20.8890494Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:20.8891079Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:1683 2024-04-03T17:50:20.8892406Z #15 _PyFunction_Vectorcall (kwnames=0x0, nargsf=, 2024-04-03T17:50:20.8892984Z stack=0x7fff72d30f10, func=0x7f12b2fd6200) 2024-04-03T17:50:20.8893594Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:419 2024-04-03T17:50:20.8895042Z #16 _PyObject_VectorcallTstate (kwnames=0x0, nargsf=, 2024-04-03T17:50:20.8896002Z args=, callable=0x7f12b2fd6200, 2024-04-03T17:50:20.8896583Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:20.8897264Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_call.h:92 2024-04-03T17:50:20.8897870Z #17 vectorcall_unbound ( 2024-04-03T17:50:20.8898979Z nargs=, args=, 2024-04-03T17:50:20.8900760Z func=, 2024-04-03T17:50:20.8901755Z unbound=, 2024-04-03T17:50:20.8902924Z tstate=) 2024-04-03T17:50:20.8903951Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:2230 2024-04-03T17:50:20.8904509Z #18 vectorcall_method (nargs=2, 2024-04-03T17:50:20.8905322Z nargs@entry=, args=0x7fff72d30f10, 2024-04-03T17:50:20.8906776Z args@entry=, name=0x965238 <_PyRuntime+28792>) 2024-04-03T17:50:20.8908034Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:2261 2024-04-03T17:50:20.8908722Z #19 slot_mp_subscript (self=, arg1=) 2024-04-03T17:50:20.8909482Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:8542 2024-04-03T17:50:20.8910223Z #20 0x000000000052de8e in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:20.8911046Z frame=0x7f1314a36490, throwflag=) at Python/bytecodes.c:413 2024-04-03T17:50:20.8911843Z #21 0x00000000005f8a2e in PyEval_EvalCode (co=, 2024-04-03T17:50:20.8912550Z globals=0x7f1314689c80, locals=) 2024-04-03T17:50:20.8913156Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:578 2024-04-03T17:50:20.8913700Z #22 0x000000000061d897 in run_eval_code_obj ( 2024-04-03T17:50:20.8914218Z tstate=0x9ce548 <_PyRuntime+459656>, co=0x7f13145d52f0, 2024-04-03T17:50:20.8914749Z globals=0x7f1314689c80, locals=0x7f1314689c80) 2024-04-03T17:50:20.8915388Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1722 2024-04-03T17:50:20.8935278Z #23 0x00000000006191a7 in run_mod (mod=, 2024-04-03T17:50:20.8935959Z filename=0x964020 <_PyRuntime+24160>, globals=0x7f1314689c80, 2024-04-03T17:50:20.8936618Z locals=0x7f1314689c80, flags=0x7fff72d312c0, arena=0x7f13145abcb0) 2024-04-03T17:50:20.8937377Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1743 2024-04-03T17:50:20.8940762Z #24 0x00000000006088bf in PyRun_StringFlags (str=, start=257, 2024-04-03T17:50:20.8941702Z globals=0x7f1314689c80, locals=0x7f1314689c80, flags=0x7fff72d312c0) 2024-04-03T17:50:20.8942580Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1618 2024-04-03T17:50:20.8946397Z #25 0x000000000060881a in PyRun_SimpleStringFlags ( 2024-04-03T17:50:20.8948119Z command=0x7f1314641fd0 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=8, pipe_handle=19)\n", flags=0x7fff72d312c0) 2024-04-03T17:50:20.8949373Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:480 2024-04-03T17:50:20.8950407Z #26 0x000000000062874f in pymain_run_command ( 2024-04-03T17:50:20.8951647Z command=) at /usr/local/src/conda/python-3.12.2/Modules/main.c:255 2024-04-03T17:50:20.8952691Z #27 pymain_run_python (exitcode=0x7fff72d31294) 2024-04-03T17:50:20.8953291Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:620 2024-04-03T17:50:20.8954028Z #28 Py_RunMain () at /usr/local/src/conda/python-3.12.2/Modules/main.c:709 2024-04-03T17:50:20.9068892Z #29 0x00000000005e4099 in Py_BytesMain (argc=, 2024-04-03T17:50:20.9082542Z argv=) 2024-04-03T17:50:20.9083601Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:763 2024-04-03T17:50:20.9084281Z #30 0x00007f13146e5083 in __libc_start_main (main=0x5e3fd0
, argc=5, 2024-04-03T17:50:20.9085015Z argv=0x7fff72d314f8, init=, fini=, 2024-04-03T17:50:20.9085616Z rtld_fini=, stack_end=0x7fff72d314e8) 2024-04-03T17:50:20.9086125Z at ../csu/libc-start.c:308 2024-04-03T17:50:20.9086477Z #31 0x00000000005e3ece in _start () 2024-04-03T17:50:20.9087030Z at /usr/local/src/conda/python-3.12.2/Parser/parser.c:35620 2024-04-03T17:50:21.0522269Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2 2024-04-03T17:50:21.0522829Z Copyright (C) 2020 Free Software Foundation, Inc. 2024-04-03T17:50:21.0523507Z License GPLv3+: GNU GPL version 3 or later 2024-04-03T17:50:21.0524303Z This is free software: you are free to change and redistribute it. 2024-04-03T17:50:21.0524944Z There is NO WARRANTY, to the extent permitted by law. 2024-04-03T17:50:21.0525505Z Type "show copying" and "show warranty" for details. 2024-04-03T17:50:21.0526093Z This GDB was configured as "x86_64-linux-gnu". 2024-04-03T17:50:21.0526623Z Type "show configuration" for configuration details. 2024-04-03T17:50:21.0527451Z For bug reporting instructions, please see: 2024-04-03T17:50:21.0527928Z . 2024-04-03T17:50:21.0528506Z Find the GDB manual and other documentation resources online at: 2024-04-03T17:50:21.0529136Z . 2024-04-03T17:50:21.0529492Z 2024-04-03T17:50:21.0529605Z For help, type "help". 2024-04-03T17:50:21.0530067Z Type "apropos word" to search for commands related to "word"... 2024-04-03T17:50:21.1745543Z Reading symbols from python... 2024-04-03T17:50:22.3387088Z 2024-04-03T17:50:22.3387666Z warning: core file may not match specified executable file. 2024-04-03T17:50:22.3580870Z [New LWP 10066] 2024-04-03T17:50:22.3581227Z [New LWP 10070] 2024-04-03T17:50:22.3581528Z [New LWP 10073] 2024-04-03T17:50:22.3581806Z [New LWP 10072] 2024-04-03T17:50:22.3582303Z [New LWP 10071] 2024-04-03T17:50:22.3582580Z [New LWP 10075] 2024-04-03T17:50:22.3582842Z [New LWP 10076] 2024-04-03T17:50:22.3583120Z [New LWP 10074] 2024-04-03T17:50:22.3609639Z [Thread debugging using libthread_db enabled] 2024-04-03T17:50:22.3610453Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2024-04-03T17:50:26.0703657Z 50 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2024-04-03T17:50:26.0705092Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2024-04-03T17:50:26.0706602Z Core was generated by `/opt/conda/envs/py_3.12/bin/python -bb -c from multiprocessing.spawn import spa'. 2024-04-03T17:50:26.0707511Z Program terminated with signal SIGSEGV, Segmentation fault. 2024-04-03T17:50:26.0708197Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2024-04-03T17:50:26.0709091Z [Current thread is 1 (Thread 0x7f77830c2280 (LWP 10066))] 2024-04-03T17:50:26.0740147Z To enable execution of this file add 2024-04-03T17:50:26.0741236Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2024-04-03T17:50:26.0741986Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:50:26.0742794Z To completely disable this security protection add 2024-04-03T17:50:26.0743503Z set auto-load safe-path / 2024-04-03T17:50:26.0743979Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:50:26.0744602Z For more information about this security protection see the 2024-04-03T17:50:26.0745398Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2024-04-03T17:50:26.0746068Z info "(gdb)Auto-loading safe path" 2024-04-03T17:50:26.0746614Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2024-04-03T17:50:26.0747392Z #1 0x00007f7779075426 in handler_SIGSEGV(int, siginfo_t*, void*) () 2024-04-03T17:50:26.0748398Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_python.so 2024-04-03T17:50:26.0749066Z #2 2024-04-03T17:50:26.0749626Z #3 __strlen_avx2 () at ../sysdeps/x86_64/multiarch/strlen-avx2.S:65 2024-04-03T17:50:26.0981231Z #4 0x00007f7782c69b35 in string_at (ptr=0x0, size=-1) 2024-04-03T17:50:26.0982349Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/_ctypes.c:5528 2024-04-03T17:50:26.0983036Z #5 0x00007f7782c94052 in ffi_call_unix64 () 2024-04-03T17:50:26.0983743Z from /opt/conda/envs/py_3.12/lib/python3.12/lib-dynload/../../libffi.so.8 2024-04-03T17:50:26.0988741Z #6 0x00007f7782c92925 in ffi_call_int () 2024-04-03T17:50:26.0989455Z from /opt/conda/envs/py_3.12/lib/python3.12/lib-dynload/../../libffi.so.8 2024-04-03T17:50:26.0994340Z #7 0x00007f7782c9306e in ffi_call () 2024-04-03T17:50:26.0995066Z from /opt/conda/envs/py_3.12/lib/python3.12/lib-dynload/../../libffi.so.8 2024-04-03T17:50:26.0998980Z #8 0x00007f7782c72d55 in _call_function_pointer ( 2024-04-03T17:50:26.0999739Z argtypecount=, argcount=2, resmem=0x7fffb4e89d00, 2024-04-03T17:50:26.1000502Z restype=, atypes=, avalues=, 2024-04-03T17:50:26.1001350Z pProc=0x7f7782c69afc , flags=4357) 2024-04-03T17:50:26.1002046Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/callproc.c:931 2024-04-03T17:50:26.1003477Z #9 _ctypes_callproc (pProc=0x7f7782c69afc , 2024-04-03T17:50:26.1004143Z argtuple=0x7f7721f99800, flags=4357, argtypes=, 2024-04-03T17:50:26.1004695Z restype=, checker=0x0) 2024-04-03T17:50:26.1005375Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/callproc.c:1273 2024-04-03T17:50:26.1006306Z #10 0x00007f7782c7295a in PyCFuncPtr_call (self=, 2024-04-03T17:50:26.1006857Z inargs=, kwds=0x0) 2024-04-03T17:50:26.1007485Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/_ctypes.c:4167 2024-04-03T17:50:26.1011197Z #11 0x0000000000520d4b in _PyObject_MakeTpCall ( 2024-04-03T17:50:26.1011886Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f7782b784d0, 2024-04-03T17:50:26.1012529Z args=, nargs=, keywords=0x0) 2024-04-03T17:50:26.1013342Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:144 2024-04-03T17:50:26.1015840Z #12 0x000000000052d15c in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:26.1016504Z frame=0x7f7783438590, throwflag=) 2024-04-03T17:50:26.1016959Z at Python/bytecodes.c:2706 2024-04-03T17:50:26.1018418Z #13 0x00000000005a636b in _PyEval_EvalFrame ( 2024-04-03T17:50:26.1019359Z throwflag=, frame=0x7f7783438520, 2024-04-03T17:50:26.1020200Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:26.1020912Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:85 2024-04-03T17:50:26.1023234Z #14 _PyEval_Vector (kwnames=0x0, argcount=, 2024-04-03T17:50:26.1023828Z args=0x7fffb4e8a140, locals=0x0, func=0x7f77219ea200, 2024-04-03T17:50:26.1024349Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:26.1024950Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:1683 2024-04-03T17:50:26.1027524Z #15 _PyFunction_Vectorcall (kwnames=0x0, nargsf=, 2024-04-03T17:50:26.1028176Z stack=0x7fffb4e8a140, func=0x7f77219ea200) 2024-04-03T17:50:26.1028794Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:419 2024-04-03T17:50:26.1030218Z #16 _PyObject_VectorcallTstate (kwnames=0x0, nargsf=, 2024-04-03T17:50:26.1031203Z args=, callable=0x7f77219ea200, 2024-04-03T17:50:26.1031745Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:26.1032432Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_call.h:92 2024-04-03T17:50:26.1033016Z #17 vectorcall_unbound ( 2024-04-03T17:50:26.1034101Z nargs=, args=, 2024-04-03T17:50:26.1035826Z func=, 2024-04-03T17:50:26.1036850Z unbound=, 2024-04-03T17:50:26.1037851Z tstate=) 2024-04-03T17:50:26.1038778Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:2230 2024-04-03T17:50:26.1039339Z #18 vectorcall_method (nargs=2, 2024-04-03T17:50:26.1040139Z nargs@entry=, args=0x7fffb4e8a140, 2024-04-03T17:50:26.1041461Z args@entry=, name=0x965238 <_PyRuntime+28792>) 2024-04-03T17:50:26.1043020Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:2261 2024-04-03T17:50:26.1043709Z #19 slot_mp_subscript (self=, arg1=) 2024-04-03T17:50:26.1044571Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:8542 2024-04-03T17:50:26.1045324Z #20 0x000000000052de8e in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:26.1046116Z frame=0x7f7783438490, throwflag=) at Python/bytecodes.c:413 2024-04-03T17:50:26.1046982Z #21 0x00000000005f8a2e in PyEval_EvalCode (co=, 2024-04-03T17:50:26.1047958Z globals=0x7f7783089c80, locals=) 2024-04-03T17:50:26.1048583Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:578 2024-04-03T17:50:26.1049118Z #22 0x000000000061d897 in run_eval_code_obj ( 2024-04-03T17:50:26.1049620Z tstate=0x9ce548 <_PyRuntime+459656>, co=0x7f7782fd52f0, 2024-04-03T17:50:26.1050149Z globals=0x7f7783089c80, locals=0x7f7783089c80) 2024-04-03T17:50:26.1050793Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1722 2024-04-03T17:50:26.1071067Z #23 0x00000000006191a7 in run_mod (mod=, 2024-04-03T17:50:26.1071862Z filename=0x964020 <_PyRuntime+24160>, globals=0x7f7783089c80, 2024-04-03T17:50:26.1072542Z locals=0x7f7783089c80, flags=0x7fffb4e8a4f0, arena=0x7f7782fabcb0) 2024-04-03T17:50:26.1073328Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1743 2024-04-03T17:50:26.1076656Z #24 0x00000000006088bf in PyRun_StringFlags (str=, start=257, 2024-04-03T17:50:26.1077557Z globals=0x7f7783089c80, locals=0x7f7783089c80, flags=0x7fffb4e8a4f0) 2024-04-03T17:50:26.1078335Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1618 2024-04-03T17:50:26.1082126Z #25 0x000000000060881a in PyRun_SimpleStringFlags ( 2024-04-03T17:50:26.1083419Z command=0x7f7783041fd0 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=8, pipe_handle=15)\n", flags=0x7fffb4e8a4f0) 2024-04-03T17:50:26.1084817Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:480 2024-04-03T17:50:26.1085507Z #26 0x000000000062874f in pymain_run_command ( 2024-04-03T17:50:26.1086677Z command=) at /usr/local/src/conda/python-3.12.2/Modules/main.c:255 2024-04-03T17:50:26.1087725Z #27 pymain_run_python (exitcode=0x7fffb4e8a4c4) 2024-04-03T17:50:26.1088400Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:620 2024-04-03T17:50:26.1089124Z #28 Py_RunMain () at /usr/local/src/conda/python-3.12.2/Modules/main.c:709 2024-04-03T17:50:26.1204827Z #29 0x00000000005e4099 in Py_BytesMain (argc=, 2024-04-03T17:50:26.1205382Z argv=) 2024-04-03T17:50:26.1205915Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:763 2024-04-03T17:50:26.1209293Z #30 0x00007f77830e7083 in __libc_start_main (main=0x5e3fd0
, argc=5, 2024-04-03T17:50:26.1210196Z argv=0x7fffb4e8a728, init=, fini=, 2024-04-03T17:50:26.1210842Z rtld_fini=, stack_end=0x7fffb4e8a718) 2024-04-03T17:50:26.1211366Z at ../csu/libc-start.c:308 2024-04-03T17:50:26.1211733Z #31 0x00000000005e3ece in _start () 2024-04-03T17:50:26.1212313Z at /usr/local/src/conda/python-3.12.2/Parser/parser.c:35620 2024-04-03T17:50:26.2563272Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2 2024-04-03T17:50:26.2563869Z Copyright (C) 2020 Free Software Foundation, Inc. 2024-04-03T17:50:26.2564567Z License GPLv3+: GNU GPL version 3 or later 2024-04-03T17:50:26.2565342Z This is free software: you are free to change and redistribute it. 2024-04-03T17:50:26.2565985Z There is NO WARRANTY, to the extent permitted by law. 2024-04-03T17:50:26.2566547Z Type "show copying" and "show warranty" for details. 2024-04-03T17:50:26.2567115Z This GDB was configured as "x86_64-linux-gnu". 2024-04-03T17:50:26.2567644Z Type "show configuration" for configuration details. 2024-04-03T17:50:26.2568166Z For bug reporting instructions, please see: 2024-04-03T17:50:26.2568621Z . 2024-04-03T17:50:26.2569184Z Find the GDB manual and other documentation resources online at: 2024-04-03T17:50:26.2570031Z . 2024-04-03T17:50:26.2570394Z 2024-04-03T17:50:26.2570522Z For help, type "help". 2024-04-03T17:50:26.2570978Z Type "apropos word" to search for commands related to "word"... 2024-04-03T17:50:26.3782609Z Reading symbols from python... 2024-04-03T17:50:27.5585541Z 2024-04-03T17:50:27.5586141Z warning: core file may not match specified executable file. 2024-04-03T17:50:27.5776577Z [New LWP 10067] 2024-04-03T17:50:27.5776977Z [New LWP 10077] 2024-04-03T17:50:27.5777272Z [New LWP 10078] 2024-04-03T17:50:27.5777556Z [New LWP 10083] 2024-04-03T17:50:27.5777815Z [New LWP 10080] 2024-04-03T17:50:27.5778085Z [New LWP 10079] 2024-04-03T17:50:27.5778345Z [New LWP 10081] 2024-04-03T17:50:27.5778635Z [New LWP 10082] 2024-04-03T17:50:27.5805914Z [Thread debugging using libthread_db enabled] 2024-04-03T17:50:27.5806747Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2024-04-03T17:50:31.2847962Z 50 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2024-04-03T17:50:31.2849826Z Core was generated by `/opt/conda/envs/py_3.12/bin/python -bb -c from multiprocessing.spawn import spa'. 2024-04-03T17:50:31.2850756Z Program terminated with signal SIGSEGV, Segmentation fault. 2024-04-03T17:50:31.2851452Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2024-04-03T17:50:31.2852110Z [Current thread is 1 (Thread 0x7f3219e0a280 (LWP 10067))] 2024-04-03T17:50:31.2853357Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2024-04-03T17:50:31.2887891Z To enable execution of this file add 2024-04-03T17:50:31.2889006Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2024-04-03T17:50:31.2890338Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:50:31.2890935Z To completely disable this security protection add 2024-04-03T17:50:31.2891454Z set auto-load safe-path / 2024-04-03T17:50:31.2891916Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2024-04-03T17:50:31.2892546Z For more information about this security protection see the 2024-04-03T17:50:31.2893425Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2024-04-03T17:50:31.2894147Z info "(gdb)Auto-loading safe path" 2024-04-03T17:50:31.2894707Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2024-04-03T17:50:31.2895528Z #1 0x00007f320fdbd426 in handler_SIGSEGV(int, siginfo_t*, void*) () 2024-04-03T17:50:31.2897013Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_python.so 2024-04-03T17:50:31.2897704Z #2 2024-04-03T17:50:31.2898259Z #3 __strlen_avx2 () at ../sysdeps/x86_64/multiarch/strlen-avx2.S:65 2024-04-03T17:50:31.3134260Z #4 0x00007f32199b1b35 in string_at (ptr=0x0, size=-1) 2024-04-03T17:50:31.3135130Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/_ctypes.c:5528 2024-04-03T17:50:31.3135775Z #5 0x00007f32199dc052 in ffi_call_unix64 () 2024-04-03T17:50:31.3136469Z from /opt/conda/envs/py_3.12/lib/python3.12/lib-dynload/../../libffi.so.8 2024-04-03T17:50:31.3141320Z #6 0x00007f32199da925 in ffi_call_int () 2024-04-03T17:50:31.3142004Z from /opt/conda/envs/py_3.12/lib/python3.12/lib-dynload/../../libffi.so.8 2024-04-03T17:50:31.3147203Z #7 0x00007f32199db06e in ffi_call () 2024-04-03T17:50:31.3147924Z from /opt/conda/envs/py_3.12/lib/python3.12/lib-dynload/../../libffi.so.8 2024-04-03T17:50:31.3151951Z #8 0x00007f32199bad55 in _call_function_pointer ( 2024-04-03T17:50:31.3152658Z argtypecount=, argcount=2, resmem=0x7ffce4544170, 2024-04-03T17:50:31.3153407Z restype=, atypes=, avalues=, 2024-04-03T17:50:31.3154050Z pProc=0x7f32199b1afc , flags=4357) 2024-04-03T17:50:31.3154757Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/callproc.c:931 2024-04-03T17:50:31.3156111Z #9 _ctypes_callproc (pProc=0x7f32199b1afc , 2024-04-03T17:50:31.3156819Z argtuple=0x7f31b8ce1c00, flags=4357, argtypes=, 2024-04-03T17:50:31.3157393Z restype=, checker=0x0) 2024-04-03T17:50:31.3158069Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/callproc.c:1273 2024-04-03T17:50:31.3159046Z #10 0x00007f32199ba95a in PyCFuncPtr_call (self=, 2024-04-03T17:50:31.3159935Z inargs=, kwds=0x0) 2024-04-03T17:50:31.3160593Z at /usr/local/src/conda/python-3.12.2/Modules/_ctypes/_ctypes.c:4167 2024-04-03T17:50:31.3164472Z #11 0x0000000000520d4b in _PyObject_MakeTpCall ( 2024-04-03T17:50:31.3165369Z tstate=0x9ce548 <_PyRuntime+459656>, callable=0x7f32198c04d0, 2024-04-03T17:50:31.3166009Z args=, nargs=, keywords=0x0) 2024-04-03T17:50:31.3166811Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:144 2024-04-03T17:50:31.3168906Z #12 0x000000000052d15c in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:31.3169857Z frame=0x7f321a180590, throwflag=) 2024-04-03T17:50:31.3170325Z at Python/bytecodes.c:2706 2024-04-03T17:50:31.3171435Z #13 0x00000000005a636b in _PyEval_EvalFrame ( 2024-04-03T17:50:31.3172643Z throwflag=, frame=0x7f321a180520, 2024-04-03T17:50:31.3173496Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:31.3174281Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_ceval.h:85 2024-04-03T17:50:31.3176625Z #14 _PyEval_Vector (kwnames=0x0, argcount=, 2024-04-03T17:50:31.3177224Z args=0x7ffce45445b0, locals=0x0, func=0x7f31b8732200, 2024-04-03T17:50:31.3177832Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:31.3178415Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:1683 2024-04-03T17:50:31.3180095Z #15 _PyFunction_Vectorcall (kwnames=0x0, nargsf=, 2024-04-03T17:50:31.3180679Z stack=0x7ffce45445b0, func=0x7f31b8732200) 2024-04-03T17:50:31.3181287Z at /usr/local/src/conda/python-3.12.2/Objects/call.c:419 2024-04-03T17:50:31.3183002Z #16 _PyObject_VectorcallTstate (kwnames=0x0, nargsf=, 2024-04-03T17:50:31.3183804Z args=, callable=0x7f31b8732200, 2024-04-03T17:50:31.3184442Z tstate=0x9ce548 <_PyRuntime+459656>) 2024-04-03T17:50:31.3185127Z at /usr/local/src/conda/python-3.12.2/Include/internal/pycore_call.h:92 2024-04-03T17:50:31.3185729Z #17 vectorcall_unbound ( 2024-04-03T17:50:31.3186642Z nargs=, args=, 2024-04-03T17:50:31.3188212Z func=, 2024-04-03T17:50:31.3189231Z unbound=, 2024-04-03T17:50:31.3190247Z tstate=) 2024-04-03T17:50:31.3191350Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:2230 2024-04-03T17:50:31.3192032Z #18 vectorcall_method (nargs=2, 2024-04-03T17:50:31.3192850Z nargs@entry=, args=0x7ffce45445b0, 2024-04-03T17:50:31.3194174Z args@entry=, name=0x965238 <_PyRuntime+28792>) 2024-04-03T17:50:31.3195799Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:2261 2024-04-03T17:50:31.3196490Z #19 slot_mp_subscript (self=, arg1=) 2024-04-03T17:50:31.3197244Z at /usr/local/src/conda/python-3.12.2/Objects/typeobject.c:8542 2024-04-03T17:50:31.3197986Z #20 0x000000000052de8e in _PyEval_EvalFrameDefault (tstate=, 2024-04-03T17:50:31.3198885Z frame=0x7f321a180490, throwflag=) at Python/bytecodes.c:413 2024-04-03T17:50:31.3199785Z #21 0x00000000005f8a2e in PyEval_EvalCode (co=, 2024-04-03T17:50:31.3200573Z globals=0x7f3219dd1c80, locals=) 2024-04-03T17:50:31.3201494Z at /usr/local/src/conda/python-3.12.2/Python/ceval.c:578 2024-04-03T17:50:31.3202031Z #22 0x000000000061d897 in run_eval_code_obj ( 2024-04-03T17:50:31.3202547Z tstate=0x9ce548 <_PyRuntime+459656>, co=0x7f3219d1d2f0, 2024-04-03T17:50:31.3203070Z globals=0x7f3219dd1c80, locals=0x7f3219dd1c80) 2024-04-03T17:50:31.3203718Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1722 2024-04-03T17:50:31.3224402Z #23 0x00000000006191a7 in run_mod (mod=, 2024-04-03T17:50:31.3225309Z filename=0x964020 <_PyRuntime+24160>, globals=0x7f3219dd1c80, 2024-04-03T17:50:31.3225971Z locals=0x7f3219dd1c80, flags=0x7ffce4544960, arena=0x7f3219cf3cb0) 2024-04-03T17:50:31.3226729Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1743 2024-04-03T17:50:31.3230168Z #24 0x00000000006088bf in PyRun_StringFlags (str=, start=257, 2024-04-03T17:50:31.3231055Z globals=0x7f3219dd1c80, locals=0x7f3219dd1c80, flags=0x7ffce4544960) 2024-04-03T17:50:31.3231832Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:1618 2024-04-03T17:50:31.3235569Z #25 0x000000000060881a in PyRun_SimpleStringFlags ( 2024-04-03T17:50:31.3237127Z command=0x7f3219d89fd0 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=8, pipe_handle=19)\n", flags=0x7ffce4544960) 2024-04-03T17:50:31.3238346Z at /usr/local/src/conda/python-3.12.2/Python/pythonrun.c:480 2024-04-03T17:50:31.3238982Z #26 0x000000000062874f in pymain_run_command ( 2024-04-03T17:50:31.3240134Z command=) at /usr/local/src/conda/python-3.12.2/Modules/main.c:255 2024-04-03T17:50:31.3241278Z #27 pymain_run_python (exitcode=0x7ffce4544934) 2024-04-03T17:50:31.3241895Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:620 2024-04-03T17:50:31.3242633Z #28 Py_RunMain () at /usr/local/src/conda/python-3.12.2/Modules/main.c:709 2024-04-03T17:50:31.3358015Z #29 0x00000000005e4099 in Py_BytesMain (argc=, 2024-04-03T17:50:31.3358889Z argv=) 2024-04-03T17:50:31.3359408Z at /usr/local/src/conda/python-3.12.2/Modules/main.c:763 2024-04-03T17:50:31.3362625Z #30 0x00007f3219e2f083 in __libc_start_main (main=0x5e3fd0
, argc=5, 2024-04-03T17:50:31.3363698Z argv=0x7ffce4544b98, init=, fini=, 2024-04-03T17:50:31.3364334Z rtld_fini=, stack_end=0x7ffce4544b88) 2024-04-03T17:50:31.3364867Z at ../csu/libc-start.c:308 2024-04-03T17:50:31.3365219Z #31 0x00000000005e3ece in _start () 2024-04-03T17:50:31.3365802Z at /usr/local/src/conda/python-3.12.2/Parser/parser.c:35620 2024-04-03T17:50:32.1410406Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2024-04-03T17:50:32.1410941Z with: 2024-04-03T17:50:32.1411442Z env: 2024-04-03T17:50:32.1411699Z GIT_DEFAULT_BRANCH: main 2024-04-03T17:50:32.1412283Z DOCKER_CONTAINER_ID: 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T17:50:32.1412946Z ##[endgroup] 2024-04-03T17:50:32.1435309Z ##[group]Run set -eou pipefail 2024-04-03T17:50:32.1435720Z set -eou pipefail 2024-04-03T17:50:32.1436050Z  2024-04-03T17:50:32.1436546Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2024-04-03T17:50:32.1437403Z for _ in $(seq 1440); do 2024-04-03T17:50:32.1437858Z  # Break if no ssh session exists anymore 2024-04-03T17:50:32.1438335Z  if [ "$(who)" = "" ]; then 2024-04-03T17:50:32.1438712Z  break 2024-04-03T17:50:32.1439009Z  fi 2024-04-03T17:50:32.1439324Z  echo "." 2024-04-03T17:50:32.1439630Z  sleep 5 2024-04-03T17:50:32.1439928Z done 2024-04-03T17:50:32.1447450Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T17:50:32.1447923Z env: 2024-04-03T17:50:32.1448186Z GIT_DEFAULT_BRANCH: main 2024-04-03T17:50:32.1448794Z DOCKER_CONTAINER_ID: 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T17:50:32.1449426Z ##[endgroup] 2024-04-03T17:50:32.1472897Z Holding runner for 2 hours until all ssh sessions have logged out 2024-04-03T17:50:32.1548958Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2024-04-03T17:50:32.1549733Z # ignore expansion of "docker ps -q" since it could be empty 2024-04-03T17:50:32.1550314Z # shellcheck disable=SC2046 2024-04-03T17:50:32.1550753Z docker stop $(docker ps -q) || true 2024-04-03T17:50:32.1551255Z # Prune all of the docker images 2024-04-03T17:50:32.1551745Z docker system prune -af 2024-04-03T17:50:32.1559082Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-04-03T17:50:32.1559567Z env: 2024-04-03T17:50:32.1559812Z GIT_DEFAULT_BRANCH: main 2024-04-03T17:50:32.1560405Z DOCKER_CONTAINER_ID: 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T17:50:32.1561053Z ##[endgroup] 2024-04-03T17:50:32.4727218Z 4b125761e850 2024-04-03T17:50:33.0725718Z Deleted Containers: 2024-04-03T17:50:33.0726788Z 4b125761e850ed8f27f687200519ff4bb1b5c584fab6a20685c0cf6bb17f3949 2024-04-03T17:50:38.1127236Z 2024-04-03T17:50:38.1127643Z Deleted Images: 2024-04-03T17:50:38.1128857Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:16884143090f148aa56809ceba26eeb699b5dc49 2024-04-03T17:50:38.1130757Z untagged: 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http.https://github.com/.extraheader 2024-04-03T17:50:38.7910182Z Entering 'third_party/cudnn_frontend' 2024-04-03T17:50:38.7937299Z http.https://github.com/.extraheader 2024-04-03T17:50:38.7963827Z Entering 'third_party/cutlass' 2024-04-03T17:50:38.7991162Z http.https://github.com/.extraheader 2024-04-03T17:50:38.8027085Z Entering 'third_party/eigen' 2024-04-03T17:50:38.8053206Z http.https://github.com/.extraheader 2024-04-03T17:50:38.8081991Z Entering 'third_party/fbgemm' 2024-04-03T17:50:38.8110552Z http.https://github.com/.extraheader 2024-04-03T17:50:38.8137299Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-04-03T17:50:38.8163141Z http.https://github.com/.extraheader 2024-04-03T17:50:38.8189493Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-04-03T17:50:38.8214959Z http.https://github.com/.extraheader 2024-04-03T17:50:38.8241549Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-04-03T17:50:38.8267773Z http.https://github.com/.extraheader 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2024-04-03T17:50:38.9708560Z http.https://github.com/.extraheader 2024-04-03T17:50:38.9735299Z Entering 'third_party/neon2sse' 2024-04-03T17:50:38.9761113Z http.https://github.com/.extraheader 2024-04-03T17:50:38.9787442Z Entering 'third_party/nlohmann' 2024-04-03T17:50:38.9812610Z http.https://github.com/.extraheader 2024-04-03T17:50:38.9840298Z Entering 'third_party/onnx' 2024-04-03T17:50:38.9868146Z http.https://github.com/.extraheader 2024-04-03T17:50:38.9909127Z Entering 'third_party/onnx/third_party/benchmark' 2024-04-03T17:50:38.9935012Z http.https://github.com/.extraheader 2024-04-03T17:50:38.9962166Z Entering 'third_party/onnx/third_party/pybind11' 2024-04-03T17:50:38.9988342Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0015852Z Entering 'third_party/onnx-tensorrt' 2024-04-03T17:50:39.0041229Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0068381Z Entering 'third_party/onnx-tensorrt/third_party/onnx' 2024-04-03T17:50:39.0093495Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0124121Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark' 2024-04-03T17:50:39.0149627Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0177105Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11' 2024-04-03T17:50:39.0203759Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0230178Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2024-04-03T17:50:39.0255473Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0287419Z Entering 'third_party/pocketfft' 2024-04-03T17:50:39.0313904Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0339401Z Entering 'third_party/protobuf' 2024-04-03T17:50:39.0364782Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0394810Z Entering 'third_party/protobuf/third_party/benchmark' 2024-04-03T17:50:39.0420548Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0447030Z Entering 'third_party/protobuf/third_party/googletest' 2024-04-03T17:50:39.0473261Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0500903Z Entering 'third_party/psimd' 2024-04-03T17:50:39.0526371Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0552662Z Entering 'third_party/pthreadpool' 2024-04-03T17:50:39.0578119Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0604645Z Entering 'third_party/pybind11' 2024-04-03T17:50:39.0631181Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0657601Z Entering 'third_party/python-peachpy' 2024-04-03T17:50:39.0683750Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0710754Z Entering 'third_party/sleef' 2024-04-03T17:50:39.0736647Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0763226Z Entering 'third_party/tbb' 2024-04-03T17:50:39.0789774Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0817574Z Entering 'third_party/tensorpipe' 2024-04-03T17:50:39.0843847Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0870698Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-04-03T17:50:39.0896113Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0922357Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-04-03T17:50:39.0948818Z http.https://github.com/.extraheader 2024-04-03T17:50:39.0974359Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-04-03T17:50:39.0999846Z http.https://github.com/.extraheader 2024-04-03T17:50:39.1027189Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-04-03T17:50:39.1051912Z http.https://github.com/.extraheader 2024-04-03T17:50:39.1077666Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-04-03T17:50:39.1103633Z http.https://github.com/.extraheader 2024-04-03T17:50:39.1131567Z Entering 'third_party/zstd' 2024-04-03T17:50:39.1157433Z http.https://github.com/.extraheader 2024-04-03T17:50:39.1410249Z Cleaning up orphan processes