2025-06-01T21:06:46.9654940Z Current runner version: '2.324.0'
2025-06-01T21:06:46.9658260Z Runner name: 'i-071cf36b9fdb56f34'
2025-06-01T21:06:46.9658830Z Machine name: 'ip-10-0-1-254'
2025-06-01T21:06:46.9661130Z ##[group]GITHUB_TOKEN Permissions
2025-06-01T21:06:46.9662310Z Actions: read
2025-06-01T21:06:46.9662630Z Attestations: read
2025-06-01T21:06:46.9662940Z Checks: read
2025-06-01T21:06:46.9663230Z Contents: read
2025-06-01T21:06:46.9663520Z Deployments: read
2025-06-01T21:06:46.9663820Z Discussions: read
2025-06-01T21:06:46.9664120Z Issues: read
2025-06-01T21:06:46.9664400Z Metadata: read
2025-06-01T21:06:46.9664680Z Models: read
2025-06-01T21:06:46.9664960Z Packages: read
2025-06-01T21:06:46.9665240Z Pages: read
2025-06-01T21:06:46.9665520Z PullRequests: read
2025-06-01T21:06:46.9665830Z RepositoryProjects: read
2025-06-01T21:06:46.9666150Z SecurityEvents: read
2025-06-01T21:06:46.9666450Z Statuses: read
2025-06-01T21:06:46.9666750Z ##[endgroup]
2025-06-01T21:06:46.9667920Z Secret source: Actions
2025-06-01T21:06:46.9668360Z Prepare workflow directory
2025-06-01T21:06:47.0603710Z Prepare all required actions
2025-06-01T21:06:47.0628410Z Getting action download info
2025-06-01T21:06:47.2405370Z Download action repository 'pytorch/test-infra@main' (SHA:5ce5452ec51263ef97338910302a42b1f4181e7c)
2025-06-01T21:06:47.7336030Z Download action repository 'pytorch/pytorch@main' (SHA:0350c7e72c787c49d09db6d543ab11fba7aec5c8)
2025-06-01T21:06:52.3359720Z Getting action download info
2025-06-01T21:06:52.4312970Z Download action repository 'actions/checkout@v4' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-06-01T21:06:52.6333140Z Getting action download info
2025-06-01T21:06:52.7359730Z Download action repository 'actions/cache@v3' (SHA:2f8e54208210a422b2efd51efaa6bd6d7ca8920f)
2025-06-01T21:06:53.0311390Z Getting action download info
2025-06-01T21:06:53.1422890Z Complete job name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-06-01T21:06:53.1677980Z ##[group]Run sysctl machdep.cpu.brand_string kern.osproductversion
2025-06-01T21:06:53.1678390Z sysctl machdep.cpu.brand_string kern.osproductversion
2025-06-01T21:06:53.1747570Z shell: /bin/bash -e -l {0}
2025-06-01T21:06:53.1747880Z env:
2025-06-01T21:06:53.1748060Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:06:53.1748240Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:06:53.1748420Z   TEST_CONFIG: default
2025-06-01T21:06:53.1748570Z   SHARD_NUMBER: 1
2025-06-01T21:06:53.1748710Z   NUM_TEST_SHARDS: 3
2025-06-01T21:06:53.1748860Z   PR_BODY: 
2025-06-01T21:06:53.1748990Z ##[endgroup]
2025-06-01T21:06:54.2666110Z machdep.cpu.brand_string: Apple M1
2025-06-01T21:06:54.2678970Z kern.osproductversion: 14.4.1
2025-06-01T21:06:54.2724630Z ##[group]Run for PROCESS in "python" "conda" "ninja" "clang"; do
2025-06-01T21:06:54.2724960Z for PROCESS in "python" "conda" "ninja" "clang"; do
2025-06-01T21:06:54.2725220Z   echo "Cleaning up all remaining ${PROCESS} process"
2025-06-01T21:06:54.2725460Z   pkill "${PROCESS}" || true
2025-06-01T21:06:54.2725660Z done
2025-06-01T21:06:54.2741240Z shell: /bin/bash -e -l {0}
2025-06-01T21:06:54.2741400Z env:
2025-06-01T21:06:54.2741520Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:06:54.2741680Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:06:54.2741850Z   TEST_CONFIG: default
2025-06-01T21:06:54.2741990Z   SHARD_NUMBER: 1
2025-06-01T21:06:54.2742120Z   NUM_TEST_SHARDS: 3
2025-06-01T21:06:54.2742260Z   PR_BODY: 
2025-06-01T21:06:54.2742370Z ##[endgroup]
2025-06-01T21:06:54.6501180Z Cleaning up all remaining python process
2025-06-01T21:06:54.6556270Z Cleaning up all remaining conda process
2025-06-01T21:06:54.6604320Z Cleaning up all remaining ninja process
2025-06-01T21:06:54.6651610Z Cleaning up all remaining clang process
2025-06-01T21:06:54.6722580Z ##[group]Run for dir in  ~/.local/lib/python3.*/site-packages; do
2025-06-01T21:06:54.6722910Z for dir in  ~/.local/lib/python3.*/site-packages; do
2025-06-01T21:06:54.6723150Z   echo "Cleaning up ${dir}"
2025-06-01T21:06:54.6723670Z   rm -rf "${dir}"
2025-06-01T21:06:54.6723820Z done
2025-06-01T21:06:54.6739340Z shell: /bin/bash -e -l {0}
2025-06-01T21:06:54.6739510Z env:
2025-06-01T21:06:54.6739630Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:06:54.6739800Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:06:54.6739980Z   TEST_CONFIG: default
2025-06-01T21:06:54.6740140Z   SHARD_NUMBER: 1
2025-06-01T21:06:54.6740260Z   NUM_TEST_SHARDS: 3
2025-06-01T21:06:54.6740400Z   PR_BODY: 
2025-06-01T21:06:54.6740540Z ##[endgroup]
2025-06-01T21:06:55.0549830Z Cleaning up /Users/ec2-user/.local/lib/python3.9/site-packages
2025-06-01T21:06:55.0659390Z ##[group]Run pytorch/test-infra/.github/actions/check-disk-space@main
2025-06-01T21:06:55.0659650Z with:
2025-06-01T21:06:55.0659800Z   minimum-available-space-in-gb: 6
2025-06-01T21:06:55.0659980Z env:
2025-06-01T21:06:55.0660120Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:06:55.0660290Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:06:55.0660470Z   TEST_CONFIG: default
2025-06-01T21:06:55.0660650Z   SHARD_NUMBER: 1
2025-06-01T21:06:55.0660780Z   NUM_TEST_SHARDS: 3
2025-06-01T21:06:55.0660920Z   PR_BODY: 
2025-06-01T21:06:55.0661050Z ##[endgroup]
2025-06-01T21:06:55.0707820Z ##[group]Run echo "Print the available disk space for manual inspection"
2025-06-01T21:06:55.0708220Z echo "Print the available disk space for manual inspection"
2025-06-01T21:06:55.0708470Z df -h
2025-06-01T21:06:55.0708600Z 
2025-06-01T21:06:55.0708730Z function check_disk_space() {
2025-06-01T21:06:55.0708900Z   set +e
2025-06-01T21:06:55.0709070Z 
2025-06-01T21:06:55.0709220Z   # Set the minimum requirement space to 6GB
2025-06-01T21:06:55.0709540Z   MINIMUM_AVAILABLE_SPACE_IN_KB=$(($MINIMUM_AVAILABLE_SPACE_IN_GB * 1024 * 1024))
2025-06-01T21:06:55.0709820Z 
2025-06-01T21:06:55.0709980Z   # Use KB to avoid floating point warning like 3.1GB
2025-06-01T21:06:55.0710240Z   df -k | tr -s ' ' | cut -d' ' -f 4,9 | while read -r LINE;
2025-06-01T21:06:55.0710470Z   do
2025-06-01T21:06:55.0710630Z     AVAIL=$(echo $LINE | cut -f1 -d' ')
2025-06-01T21:06:55.0710850Z     MOUNT=$(echo $LINE | cut -f2 -d' ')
2025-06-01T21:06:55.0711040Z 
2025-06-01T21:06:55.0711190Z     if [ "${MOUNT}" = "/" ]; then
2025-06-01T21:06:55.0711440Z       if [ "${AVAIL}" -lt "${MINIMUM_AVAILABLE_SPACE_IN_KB}" ]; then
2025-06-01T21:06:55.0711970Z         echo "Failure: There is only ${AVAIL}KB free space left in ${MOUNT}, which is less than the minimum requirement of ${MINIMUM_AVAILABLE_SPACE_IN_KB}KB for ${RUNNER_OS}"
2025-06-01T21:06:55.0712420Z       else
2025-06-01T21:06:55.0712680Z         echo "Success: There is ${AVAIL}KB free space left in ${MOUNT} for ${RUNNER_OS}, continue"
2025-06-01T21:06:55.0713060Z       fi
2025-06-01T21:06:55.0713200Z     fi
2025-06-01T21:06:55.0713320Z   done
2025-06-01T21:06:55.0713450Z 
2025-06-01T21:06:55.0713570Z   set -e
2025-06-01T21:06:55.0713700Z }
2025-06-01T21:06:55.0713810Z 
2025-06-01T21:06:55.0713950Z RESULT=$(check_disk_space)
2025-06-01T21:06:55.0714130Z echo "${RESULT}"
2025-06-01T21:06:55.0714270Z 
2025-06-01T21:06:55.0714470Z if [[ "${RESULT}" == *Failure* && "${RUNNER_OS}" == "macOS" ]]; then
2025-06-01T21:06:55.0714940Z   # We can clean up /System/Library/Caches/com.apple.coresymbolicationd on MacOS to free up the space and this should free up enough space
2025-06-01T21:06:55.0715400Z   # https://github.com/pytorch/pytorch/issues/85440
2025-06-01T21:06:55.0715740Z   sudo rm "/System/Library/Caches/com.apple.coresymbolicationd/data" || true
2025-06-01T21:06:55.0716210Z   # Stop the daemon and launchctl will automatically start it again, thus accomplish a restart and free up the above file
2025-06-01T21:06:55.0716840Z   sudo launchctl stop com.apple.coresymbolicationd || true
2025-06-01T21:06:55.0717080Z 
2025-06-01T21:06:55.0717230Z   # Clean up crash reports on the runner
2025-06-01T21:06:55.0717510Z   sudo rm -rf "/System/Volumes/Data/Library/Logs/CrashReporter" || true
2025-06-01T21:06:55.0717770Z 
2025-06-01T21:06:55.0717930Z   # Also try to clean up torch.hub caching directory
2025-06-01T21:06:55.0718180Z   rm -rf "${HOME}/.cache/torch/hub" || true
2025-06-01T21:06:55.0718360Z 
2025-06-01T21:06:55.0718730Z   # Purge conda
2025-06-01T21:06:55.0727870Z   conda clean -p -t -y || true
2025-06-01T21:06:55.0728080Z   # and pip cache
2025-06-01T21:06:55.0728260Z   pip cache purge || true
2025-06-01T21:06:55.0728420Z 
2025-06-01T21:06:55.0728640Z   echo "Re-run disk space check for ${RUNNER_OS} after cleaning up"
2025-06-01T21:06:55.0728900Z   # Re-run the check
2025-06-01T21:06:55.0729070Z   RESULT=$(check_disk_space)
2025-06-01T21:06:55.0729270Z   echo "${RESULT}"
2025-06-01T21:06:55.0729410Z fi
2025-06-01T21:06:55.0729540Z 
2025-06-01T21:06:55.0729680Z if [[ "${RESULT}" == *Failure* ]]; then
2025-06-01T21:06:55.0729870Z   df -h
2025-06-01T21:06:55.0730000Z 
2025-06-01T21:06:55.0730400Z   echo "Please help create an issue to PyTorch Release Engineering via https://github.com/pytorch/test-infra/issues and provide the link to the workflow run."
2025-06-01T21:06:55.0730860Z   exit 1
2025-06-01T21:06:55.0730970Z fi
2025-06-01T21:06:55.0747060Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:06:55.0747260Z env:
2025-06-01T21:06:55.0747390Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:06:55.0747570Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:06:55.0747750Z   TEST_CONFIG: default
2025-06-01T21:06:55.0747890Z   SHARD_NUMBER: 1
2025-06-01T21:06:55.0748030Z   NUM_TEST_SHARDS: 3
2025-06-01T21:06:55.0748170Z   PR_BODY: 
2025-06-01T21:06:55.0748300Z   MINIMUM_AVAILABLE_SPACE_IN_GB: 6
2025-06-01T21:06:55.0748480Z ##[endgroup]
2025-06-01T21:06:55.0986840Z Print the available disk space for manual inspection
2025-06-01T21:06:55.1006850Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-06-01T21:06:55.1007280Z /dev/disk5s2s1   256Gi   9.5Gi   148Gi     7%    404k  1.6G    0%   /
2025-06-01T21:06:55.1007640Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-06-01T21:06:55.1007990Z /dev/disk5s5     256Gi   2.0Gi   148Gi     2%       2  1.6G    0%   /System/Volumes/VM
2025-06-01T21:06:55.1008360Z /dev/disk5s3     256Gi   5.7Gi   148Gi     4%    1.0k  1.6G    0%   /System/Volumes/Preboot
2025-06-01T21:06:55.1008750Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-06-01T21:06:55.1009150Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-06-01T21:06:55.1009590Z /dev/disk1s3     500Mi   884Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-06-01T21:06:55.1009960Z /dev/disk5s1     256Gi    89Gi   148Gi    38%    5.9M  1.6G    0%   /System/Volumes/Data
2025-06-01T21:06:55.1010350Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-06-01T21:06:55.1010720Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-mRkKbB
2025-06-01T21:06:55.1407870Z Success: There is 155625776KB free space left in / for macOS, continue
2025-06-01T21:06:55.1482180Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-06-01T21:06:55.1482460Z with:
2025-06-01T21:06:55.1482590Z   submodules: recursive
2025-06-01T21:06:55.1482740Z   fetch-depth: 0
2025-06-01T21:06:55.1482930Z env:
2025-06-01T21:06:55.1483060Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:06:55.1483270Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:06:55.1483690Z   TEST_CONFIG: default
2025-06-01T21:06:55.1483830Z   SHARD_NUMBER: 1
2025-06-01T21:06:55.1483970Z   NUM_TEST_SHARDS: 3
2025-06-01T21:06:55.1484110Z   PR_BODY: 
2025-06-01T21:06:55.1484220Z ##[endgroup]
2025-06-01T21:06:55.1496900Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-06-01T21:06:55.1497460Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-06-01T21:06:55.1513220Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:06:55.1513430Z env:
2025-06-01T21:06:55.1513560Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:06:55.1513730Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:06:55.1513920Z   TEST_CONFIG: default
2025-06-01T21:06:55.1514060Z   SHARD_NUMBER: 1
2025-06-01T21:06:55.1514190Z   NUM_TEST_SHARDS: 3
2025-06-01T21:06:55.1514330Z   PR_BODY: 
2025-06-01T21:06:55.1514440Z ##[endgroup]
2025-06-01T21:06:55.1785650Z ##[group]Run # Use all available CPUs for fetching
2025-06-01T21:06:55.1785970Z # Use all available CPUs for fetching
2025-06-01T21:06:55.1786170Z cd "${GITHUB_WORKSPACE}"
2025-06-01T21:06:55.1786380Z git config --global fetch.parallel 0
2025-06-01T21:06:55.1786640Z git config --global submodule.fetchJobs 0
2025-06-01T21:06:55.1786840Z 
2025-06-01T21:06:55.1787050Z # Clean workspace. The default checkout action should also do this, but
2025-06-01T21:06:55.1787350Z # do it here as well just in case
2025-06-01T21:06:55.1787570Z if [[ -d .git ]]; then
2025-06-01T21:06:55.1787740Z   if [ -z "${NO_SUDO}" ]; then
2025-06-01T21:06:55.1824180Z     sudo git clean -ffdx
2025-06-01T21:06:55.1824350Z   else
2025-06-01T21:06:55.1824490Z     git clean -ffdx
2025-06-01T21:06:55.1824670Z   fi
2025-06-01T21:06:55.1824780Z fi
2025-06-01T21:06:55.1840970Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:06:55.1841170Z env:
2025-06-01T21:06:55.1841280Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:06:55.1841450Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:06:55.1841620Z   TEST_CONFIG: default
2025-06-01T21:06:55.1841740Z   SHARD_NUMBER: 1
2025-06-01T21:06:55.1841870Z   NUM_TEST_SHARDS: 3
2025-06-01T21:06:55.1841990Z   PR_BODY: 
2025-06-01T21:06:55.1842090Z   NO_SUDO: 
2025-06-01T21:06:55.1842190Z ##[endgroup]
2025-06-01T21:06:56.7407100Z Removing .additional_ci_files/
2025-06-01T21:06:56.7407640Z Removing .pytest_cache/
2025-06-01T21:06:56.7408270Z Removing benchmarks/functional_autograd_benchmark/__pycache__/
2025-06-01T21:06:56.7408640Z Removing build/
2025-06-01T21:06:56.7408840Z Removing dist/
2025-06-01T21:06:56.7409020Z Removing test/.pytorch-disabled-tests.json
2025-06-01T21:06:56.7409250Z Removing test/__pycache__/
2025-06-01T21:06:56.7409440Z Removing test/autograd/__pycache__/
2025-06-01T21:06:56.7409660Z Removing test/cpp_api_parity/__pycache__/
2025-06-01T21:06:56.7409930Z Removing test/cpp_extensions/build/
2025-06-01T21:06:56.7410160Z Removing test/cpp_extensions/install/
2025-06-01T21:06:56.7410590Z Removing test/cpp_extensions/no_python_abi_suffix_test/build/
2025-06-01T21:06:56.7410930Z Removing test/cpp_extensions/no_python_abi_suffix_test/install/
2025-06-01T21:06:56.7411330Z Removing test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.egg-info/
2025-06-01T21:06:56.7411730Z Removing test/cpp_extensions/open_registration_extension/build/
2025-06-01T21:06:56.7412840Z Removing test/cpp_extensions/open_registration_extension/install/
2025-06-01T21:06:56.7413270Z Removing test/cpp_extensions/open_registration_extension/pytorch_openreg.egg-info/
2025-06-01T21:06:56.7413650Z Removing test/cpp_extensions/torch_test_cpp_extension.egg-info/
2025-06-01T21:06:56.7413990Z Removing test/cpp_extensions/torch_test_cpp_extension/__pycache__/
2025-06-01T21:06:56.7414280Z Removing test/custom_operator/__pycache__/
2025-06-01T21:06:56.7415310Z Removing test/custom_operator/build/
2025-06-01T21:06:56.7415540Z Removing test/custom_operator/model.pt
2025-06-01T21:06:56.7415780Z Removing test/custom_operator/test-reports/
2025-06-01T21:06:56.7416010Z Removing test/functorch/__pycache__/
2025-06-01T21:06:56.7416210Z Removing test/fx/__pycache__/
2025-06-01T21:06:56.7416420Z Removing test/inductor/__pycache__/
2025-06-01T21:06:56.7416660Z Removing test/inductor/extension_backends/cpp/__pycache__/
2025-06-01T21:06:56.7416980Z Removing test/inductor/extension_backends/triton/__pycache__/
2025-06-01T21:06:56.7417250Z Removing test/jit/__pycache__/
2025-06-01T21:06:56.7417560Z Removing test/jit/_imported_class_test/__pycache__/
2025-06-01T21:06:56.7417830Z Removing test/jit/_imported_class_test/very/__pycache__/
2025-06-01T21:06:56.7418210Z Removing test/jit/_imported_class_test/very/very/__pycache__/
2025-06-01T21:06:56.7418510Z Removing test/quantization/__pycache__/
2025-06-01T21:06:56.7418750Z Removing test/quantization/ao_migration/__pycache__/
2025-06-01T21:06:56.7418990Z Removing test/quantization/bc/__pycache__/
2025-06-01T21:06:56.7419230Z Removing test/quantization/core/__pycache__/
2025-06-01T21:06:56.7419500Z Removing test/quantization/core/experimental/__pycache__/
2025-06-01T21:06:56.7419760Z Removing test/quantization/eager/__pycache__/
2025-06-01T21:06:56.7420000Z Removing test/quantization/fx/__pycache__/
2025-06-01T21:06:56.7420210Z Removing test/quantization/jit/__pycache__/
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2025-06-01T21:06:56.7466310Z ##[group]Run actions/checkout@v4
2025-06-01T21:06:56.7466490Z with:
2025-06-01T21:06:56.7466630Z   ref: f7c09f864a6c6467a7454f1431340d3338473fd1
2025-06-01T21:06:56.7466810Z   fetch-depth: 0
2025-06-01T21:06:56.7466960Z   submodules: recursive
2025-06-01T21:06:56.7467100Z   show-progress: false
2025-06-01T21:06:56.7467250Z   repository: pytorch/pytorch
2025-06-01T21:06:56.7467490Z   token: ***
2025-06-01T21:06:56.7467610Z   ssh-strict: true
2025-06-01T21:06:56.7467740Z   ssh-user: git
2025-06-01T21:06:56.7467870Z   persist-credentials: true
2025-06-01T21:06:56.7468030Z   clean: true
2025-06-01T21:06:56.7468180Z   sparse-checkout-cone-mode: true
2025-06-01T21:06:56.7468340Z   fetch-tags: false
2025-06-01T21:06:56.7468480Z   lfs: false
2025-06-01T21:06:56.7468610Z   set-safe-directory: true
2025-06-01T21:06:56.7468750Z env:
2025-06-01T21:06:56.7468880Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:06:56.7469030Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:06:56.7469200Z   TEST_CONFIG: default
2025-06-01T21:06:56.7469340Z   SHARD_NUMBER: 1
2025-06-01T21:06:56.7469480Z   NUM_TEST_SHARDS: 3
2025-06-01T21:06:56.7469610Z   PR_BODY: 
2025-06-01T21:06:56.7469720Z ##[endgroup]
2025-06-01T21:06:56.8397890Z Syncing repository: pytorch/pytorch
2025-06-01T21:06:56.8398850Z ##[group]Getting Git version info
2025-06-01T21:06:56.8399110Z Working directory is '/Users/ec2-user/runner/_work/pytorch/pytorch'
2025-06-01T21:06:56.8400000Z [command]/usr/bin/git version
2025-06-01T21:06:56.8432800Z git version 2.39.3 (Apple Git-146)
2025-06-01T21:06:56.8445860Z ##[endgroup]
2025-06-01T21:06:56.8450960Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/536d86fa-056d-4de8-b08f-219f606ded7e/.gitconfig'
2025-06-01T21:06:56.8457620Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/536d86fa-056d-4de8-b08f-219f606ded7e' before making global git config changes
2025-06-01T21:06:56.8458630Z Adding repository directory to the temporary git global config as a safe directory
2025-06-01T21:06:56.8464320Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/pytorch/pytorch
2025-06-01T21:06:56.8535250Z [command]/usr/bin/git config --local --get remote.origin.url
2025-06-01T21:06:56.8587080Z https://github.com/pytorch/pytorch
2025-06-01T21:06:56.8608800Z ##[group]Removing previously created refs, to avoid conflicts
2025-06-01T21:06:56.8735100Z [command]/usr/bin/git rev-parse --symbolic-full-name --verify --quiet HEAD
2025-06-01T21:06:56.8735380Z HEAD
2025-06-01T21:06:56.8804500Z ##[endgroup]
2025-06-01T21:06:56.8806820Z [command]/usr/bin/git submodule status
2025-06-01T21:06:56.9683830Z  7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe)
2025-06-01T21:06:56.9940510Z  4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081)
2025-06-01T21:06:57.0180650Z  b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327)
2025-06-01T21:06:57.0522350Z  c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0)
2025-06-01T21:06:57.0945710Z  2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16)
2025-06-01T21:06:57.1427140Z  1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600)
2025-06-01T21:06:57.3538540Z  51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656)
2025-06-01T21:06:57.3705550Z  299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3)
2025-06-01T21:06:57.4302300Z  8086bbe3a78d931eb96fe12fdc014082e18d18d3 third_party/composable_kernel (rocm-6.4.1-6-g8086bbe3a)
2025-06-01T21:06:57.4743820Z  3b6597bba913d51161383657829b7e644e59c006 third_party/cpp-httplib (v0.15.3-20-g3b6597b)
2025-06-01T21:06:57.5235310Z  5e3d2445e6a84d9599bee2bf78edbb4d80865e1d third_party/cpuinfo (5e3d244)
2025-06-01T21:06:57.5681290Z  666996fe3960f27170d1527e5579ba24c8d3380a third_party/cudnn_frontend (v0.5-47-g666996f)
2025-06-01T21:06:57.6351950Z  ad7b2f5e84fcfa124cb02b91d5bd26d238c0459e third_party/cutlass (v3.9.2)
2025-06-01T21:06:57.7926400Z  3147391d946bb4b6c68edd901f2add6ac1f31f8c third_party/eigen (3.4.0)
2025-06-01T21:06:57.8752740Z  157e88b750c452bef2ab4653fe9d1eeb151ce4c3 third_party/fbgemm (v1.2.0-186-g157e88b7)
2025-06-01T21:06:57.9109610Z  979702c87a8713a8e0a5e9fee122b90d2ef13be5 third_party/flash-attention (v2.7.4)
2025-06-01T21:06:57.9275690Z  01834de25e4bf3975a9a00e816292b1ad0fe184b third_party/flatbuffers (v23.3.3)
2025-06-01T21:06:58.0420120Z  40626af88bd7df9a5fb80be7b25ac85b122d6c21 third_party/fmt (11.2.0)
2025-06-01T21:06:58.0795500Z  3fb5c176c17c765a3492cd2f0321b0dab712f350 third_party/gemmlowp/gemmlowp (remotes/origin/revert-87-master-135-g3fb5c17)
2025-06-01T21:06:58.1292820Z  fe67c4bea940a117ff539d23f4110efc19404edb third_party/gloo (remotes/origin/gh/c-p-i-o/1/base-28-gfe67c4b)
2025-06-01T21:06:58.2099420Z  52eb8108c5bdec04579160ae17225d66034bd723 third_party/googletest (release-1.8.0-3544-g52eb8108)
2025-06-01T21:06:58.2538590Z  719d8e6cd7f7a0e01b155657526d693acf97c2b3 third_party/ideep (pytorch-rls-v3.7.1)
2025-06-01T21:06:58.2827160Z  dec1d23ca65ab069d225dfe40dea14f455170959 third_party/ittapi (v3.25.5)
2025-06-01T21:06:58.3493990Z  20f652846f651fcae287f667d34bcf164c99f383 third_party/kineto (heads/main)
2025-06-01T21:06:58.3733790Z  cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7 third_party/kleidiai (v1.8.0)
2025-06-01T21:06:58.3954180Z  94036de6fe20bfd8a73d4a6d142fcf532ea604d9 third_party/mimalloc (v2.2.3)
2025-06-01T21:06:58.5285860Z  87cda1d6646592ac5866dc703c8e1839046a6806 third_party/nlohmann (v3.10.1-113-g87cda1d6)
2025-06-01T21:06:58.6513440Z  e709452ef2bbc1d113faf678c24e6d3467696e83 third_party/onnx (v1.18.0)
2025-06-01T21:06:58.6692800Z  a799f4aed9c94b765dcdaabaeab7d5e7e2310878 third_party/opentelemetry-cpp (v1.14.2)
2025-06-01T21:06:58.6841870Z  9d3ab05a7fffbc71a492bc6a17be034e83e8f0fe third_party/pocketfft (release_for_eigen-11-g9d3ab05)
2025-06-01T21:06:58.9130910Z  d1eca4e4b421cd2997495c4b4e65cea6be4e9b8a third_party/protobuf (v3.7.0-rc.2-1279-gd1eca4e4b)
2025-06-01T21:06:58.9375380Z  072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master)
2025-06-01T21:06:58.9619050Z  4fe0e1e183925bf8cfa6aae24237e724a96479b8 third_party/pthreadpool (0.1-144-g4fe0e1e)
2025-06-01T21:06:59.0301460Z  a2e59f0e7065404b44dfe92a28aca47ba1378dc4 third_party/pybind11 (v2.11.0-182-ga2e59f0e)
2025-06-01T21:06:59.0562990Z  f45429b087dd7d5bc78bb40dc7cf06425c252d67 third_party/python-peachpy (remotes/origin/pre-generated)
2025-06-01T21:06:59.1007090Z  5a1d179df9cf652951b59010a2d2075372d67f68 third_party/sleef (3.8)
2025-06-01T21:06:59.1263430Z  52791a2fd214b2a9dc5759d36725909c1daa7f2e third_party/tensorpipe (remotes/origin/master)
2025-06-01T21:06:59.1271940Z ##[group]Cleaning the repository
2025-06-01T21:06:59.1273800Z [command]/usr/bin/git clean -ffdx
2025-06-01T21:06:59.1640010Z [command]/usr/bin/git reset --hard HEAD
2025-06-01T21:07:00.7788880Z HEAD is now at 6b7e423f5eb update executorch commit hash
2025-06-01T21:07:00.7796690Z ##[endgroup]
2025-06-01T21:07:00.7797170Z ##[group]Disabling automatic garbage collection
2025-06-01T21:07:00.7801580Z [command]/usr/bin/git config --local gc.auto 0
2025-06-01T21:07:00.7868440Z ##[endgroup]
2025-06-01T21:07:00.7868740Z ##[group]Setting up auth
2025-06-01T21:07:00.7872210Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-06-01T21:07:00.7931190Z [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' || :"
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2025-06-01T21:07:02.0737750Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-06-01T21:07:02.8981330Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-06-01T21:07:02.9053820Z ##[endgroup]
2025-06-01T21:07:02.9054080Z ##[group]Fetching the repository
2025-06-01T21:07:02.9058300Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-06-01T21:07:08.2932450Z From https://github.com/pytorch/pytorch
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2025-06-01T21:07:11.0555030Z Previous HEAD position was 6b7e423f5eb update executorch commit hash
2025-06-01T21:07:11.0578530Z HEAD is now at f7c09f864a6 [Docs] Reformat sparse example (#154785)
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2025-06-01T21:07:11.0842880Z ##[group]Fetching submodules
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2025-06-01T21:07:11.4351030Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-06-01T21:07:11.5107570Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-06-01T21:07:11.5282890Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-06-01T21:07:11.5455880Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-06-01T21:07:11.5774190Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-06-01T21:07:11.6385140Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-06-01T21:07:11.6768470Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-06-01T21:07:11.7755590Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-06-01T21:07:11.8346710Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-06-01T21:07:11.9738760Z Submodule path 'third_party/composable_kernel': checked out '8086bbe3a78d931eb96fe12fdc014082e18d18d3'
2025-06-01T21:07:12.0009850Z Submodule path 'third_party/cpp-httplib': checked out '3b6597bba913d51161383657829b7e644e59c006'
2025-06-01T21:07:12.0520490Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-06-01T21:07:12.0902390Z Submodule path 'third_party/cudnn_frontend': checked out '666996fe3960f27170d1527e5579ba24c8d3380a'
2025-06-01T21:07:12.1699610Z Submodule path 'third_party/cutlass': checked out 'ad7b2f5e84fcfa124cb02b91d5bd26d238c0459e'
2025-06-01T21:07:12.2350710Z Submodule path 'third_party/eigen': checked out '3147391d946bb4b6c68edd901f2add6ac1f31f8c'
2025-06-01T21:07:12.3193550Z Submodule path 'third_party/fbgemm': checked out '157e88b750c452bef2ab4653fe9d1eeb151ce4c3'
2025-06-01T21:07:12.3668510Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'e5d7c0bd5d9aec44d68830187138149e6a8c4e32'
2025-06-01T21:07:12.4963320Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '4a61bdd4bd4ed730e078aebc7c0fcf046ff29406'
2025-06-01T21:07:12.5623650Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-06-01T21:07:13.2391360Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '3ed8d2ec4ba35ef5d9d8353826209b6f868f63d3'
2025-06-01T21:07:13.3129750Z Submodule path 'third_party/fbgemm/external/googletest': checked out 'f8d7d77c06936315286eb55f8de22cd23c188571'
2025-06-01T21:07:13.3388550Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
2025-06-01T21:07:13.4624530Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-06-01T21:07:13.5457990Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-06-01T21:07:13.8970390Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-06-01T21:07:14.9462520Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-06-01T21:07:15.5699830Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-06-01T21:07:15.5969910Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-06-01T21:07:15.6242160Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-06-01T21:07:15.6574950Z Submodule path 'third_party/gloo': checked out 'fe67c4bea940a117ff539d23f4110efc19404edb'
2025-06-01T21:07:15.6910690Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-06-01T21:07:15.7114360Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-06-01T21:07:16.3351430Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-06-01T21:07:16.4425890Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-06-01T21:07:16.5550280Z Submodule path 'third_party/kineto': checked out '20f652846f651fcae287f667d34bcf164c99f383'
2025-06-01T21:07:16.6124020Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-06-01T21:07:16.7188470Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-06-01T21:07:16.7822430Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-06-01T21:07:16.8637040Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-06-01T21:07:16.8954550Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-06-01T21:07:16.9262060Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-06-01T21:07:16.9692240Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-06-01T21:07:17.0422080Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-06-01T21:07:17.1845290Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-06-01T21:07:17.2160830Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-06-01T21:07:17.2994100Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-06-01T21:07:17.3673570Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-06-01T21:07:17.4187900Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-06-01T21:07:17.4994200Z Submodule path 'third_party/mimalloc': checked out '94036de6fe20bfd8a73d4a6d142fcf532ea604d9'
2025-06-01T21:07:17.5865470Z Submodule path 'third_party/nlohmann': checked out '87cda1d6646592ac5866dc703c8e1839046a6806'
2025-06-01T21:07:17.9506320Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-06-01T21:07:18.1978740Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-06-01T21:07:18.3042220Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-06-01T21:07:18.3696420Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-06-01T21:07:18.4456770Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-06-01T21:07:18.4866860Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-06-01T21:07:18.6294070Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-06-01T21:07:18.6676590Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-06-01T21:07:18.6978210Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-06-01T21:07:18.7511560Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-06-01T21:07:18.8576990Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-06-01T21:07:18.9246310Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-06-01T21:07:19.8809250Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-06-01T21:07:19.9002360Z Submodule path 'third_party/pocketfft': checked out '9d3ab05a7fffbc71a492bc6a17be034e83e8f0fe'
2025-06-01T21:07:20.1710390Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-06-01T21:07:20.2400830Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-06-01T21:07:20.3170680Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-06-01T21:07:20.3344800Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-06-01T21:07:20.3521260Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-06-01T21:07:20.3913850Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-06-01T21:07:20.4180440Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-06-01T21:07:20.4545440Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-06-01T21:07:20.4934420Z Submodule path 'third_party/tensorpipe': checked out '52791a2fd214b2a9dc5759d36725909c1daa7f2e'
2025-06-01T21:07:20.5671400Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-06-01T21:07:20.5957830Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-06-01T21:07:20.7241290Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242'
2025-06-01T21:07:20.8099580Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-06-01T21:07:20.8334520Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-06-01T21:07:20.8406890Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-06-01T21:07:20.8915200Z Entering 'android/libs/fbjni'
2025-06-01T21:07:20.8995110Z Entering 'third_party/FP16'
2025-06-01T21:07:20.9076870Z Entering 'third_party/FXdiv'
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2025-06-01T21:07:20.9895960Z Entering 'third_party/cutlass'
2025-06-01T21:07:20.9980100Z Entering 'third_party/eigen'
2025-06-01T21:07:21.0063340Z Entering 'third_party/fbgemm'
2025-06-01T21:07:21.0146860Z Entering 'third_party/fbgemm/external/asmjit'
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2025-06-01T21:07:21.0637000Z Entering 'third_party/fbgemm/external/json'
2025-06-01T21:07:21.0720360Z Entering 'third_party/flash-attention'
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2025-06-01T21:07:21.1218460Z Entering 'third_party/gloo'
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2025-06-01T21:07:21.1458350Z Entering 'third_party/ideep/mkl-dnn'
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2025-06-01T21:07:21.1625180Z Entering 'third_party/kineto'
2025-06-01T21:07:21.1705130Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-06-01T21:07:21.1783820Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-06-01T21:07:21.1864900Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-06-01T21:07:21.1946990Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-06-01T21:07:21.2028580Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-06-01T21:07:21.2107810Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-06-01T21:07:21.2189860Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-06-01T21:07:21.2272590Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-06-01T21:07:21.2352690Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-06-01T21:07:21.2434050Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-06-01T21:07:21.2515900Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-06-01T21:07:21.2596080Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-06-01T21:07:21.2677410Z Entering 'third_party/kleidiai'
2025-06-01T21:07:21.2758760Z Entering 'third_party/mimalloc'
2025-06-01T21:07:21.2838700Z Entering 'third_party/nlohmann'
2025-06-01T21:07:21.2920130Z Entering 'third_party/onnx'
2025-06-01T21:07:21.3004150Z Entering 'third_party/onnx/third_party/pybind11'
2025-06-01T21:07:21.3088180Z Entering 'third_party/opentelemetry-cpp'
2025-06-01T21:07:21.3168830Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-06-01T21:07:21.3250460Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-06-01T21:07:21.3330900Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-06-01T21:07:21.3411840Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-06-01T21:07:21.3494000Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-06-01T21:07:21.3575770Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-06-01T21:07:21.3653580Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-06-01T21:07:21.3732780Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-06-01T21:07:21.3815740Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-06-01T21:07:21.3899570Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-06-01T21:07:21.3988910Z Entering 'third_party/pocketfft'
2025-06-01T21:07:21.4073020Z Entering 'third_party/protobuf'
2025-06-01T21:07:21.4155310Z Entering 'third_party/protobuf/third_party/benchmark'
2025-06-01T21:07:21.4236890Z Entering 'third_party/protobuf/third_party/googletest'
2025-06-01T21:07:21.4321930Z Entering 'third_party/psimd'
2025-06-01T21:07:21.4403600Z Entering 'third_party/pthreadpool'
2025-06-01T21:07:21.4482370Z Entering 'third_party/pybind11'
2025-06-01T21:07:21.4563600Z Entering 'third_party/python-peachpy'
2025-06-01T21:07:21.4643320Z Entering 'third_party/sleef'
2025-06-01T21:07:21.4724820Z Entering 'third_party/tensorpipe'
2025-06-01T21:07:21.4806260Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-06-01T21:07:21.4887620Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-06-01T21:07:21.4966750Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-06-01T21:07:21.5045600Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-06-01T21:07:21.5122800Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-06-01T21:07:21.5216200Z ##[endgroup]
2025-06-01T21:07:21.5216480Z ##[group]Persisting credentials for submodules
2025-06-01T21:07:21.5220270Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-06-01T21:07:21.5709620Z Entering 'android/libs/fbjni'
2025-06-01T21:07:21.5777050Z url.https://github.com/.insteadof
2025-06-01T21:07:21.5777420Z url.https://github.com/.insteadof
2025-06-01T21:07:21.5842200Z Entering 'third_party/FP16'
2025-06-01T21:07:21.5908750Z url.https://github.com/.insteadof
2025-06-01T21:07:21.5909040Z url.https://github.com/.insteadof
2025-06-01T21:07:21.5972590Z Entering 'third_party/FXdiv'
2025-06-01T21:07:21.6037340Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6037570Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6103160Z Entering 'third_party/NNPACK'
2025-06-01T21:07:21.6166830Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6167050Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6231280Z Entering 'third_party/NVTX'
2025-06-01T21:07:21.6295150Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6295460Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6362380Z Entering 'third_party/VulkanMemoryAllocator'
2025-06-01T21:07:21.6428830Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6429050Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6495090Z Entering 'third_party/XNNPACK'
2025-06-01T21:07:21.6561150Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6561360Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6629920Z Entering 'third_party/benchmark'
2025-06-01T21:07:21.6695480Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6695710Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6760070Z Entering 'third_party/composable_kernel'
2025-06-01T21:07:21.6825490Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6825710Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6893680Z Entering 'third_party/cpp-httplib'
2025-06-01T21:07:21.6958370Z url.https://github.com/.insteadof
2025-06-01T21:07:21.6958600Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7024350Z Entering 'third_party/cpuinfo'
2025-06-01T21:07:21.7090470Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7090690Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7154560Z Entering 'third_party/cudnn_frontend'
2025-06-01T21:07:21.7220260Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7220480Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7286130Z Entering 'third_party/cutlass'
2025-06-01T21:07:21.7352580Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7352790Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7421770Z Entering 'third_party/eigen'
2025-06-01T21:07:21.7489070Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7489350Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7555240Z Entering 'third_party/fbgemm'
2025-06-01T21:07:21.7620670Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7620880Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7685450Z Entering 'third_party/fbgemm/external/asmjit'
2025-06-01T21:07:21.7752010Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7752240Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7816610Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-06-01T21:07:21.7883330Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7883550Z url.https://github.com/.insteadof
2025-06-01T21:07:21.7950280Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-06-01T21:07:21.8015970Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8016380Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8081570Z Entering 'third_party/fbgemm/external/cutlass'
2025-06-01T21:07:21.8144650Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8145930Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8214500Z Entering 'third_party/fbgemm/external/googletest'
2025-06-01T21:07:21.8280110Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8280340Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8344340Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-06-01T21:07:21.8407520Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8407730Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8471660Z Entering 'third_party/fbgemm/external/json'
2025-06-01T21:07:21.8537010Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8537310Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8604760Z Entering 'third_party/flash-attention'
2025-06-01T21:07:21.8669720Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8669960Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8733050Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-06-01T21:07:21.8796880Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8797110Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8864280Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-06-01T21:07:21.8929450Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8929670Z url.https://github.com/.insteadof
2025-06-01T21:07:21.8998930Z Entering 'third_party/flatbuffers'
2025-06-01T21:07:21.9068410Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9068650Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9134420Z Entering 'third_party/fmt'
2025-06-01T21:07:21.9201130Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9201350Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9266800Z Entering 'third_party/gemmlowp/gemmlowp'
2025-06-01T21:07:21.9333150Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9333390Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9399520Z Entering 'third_party/gloo'
2025-06-01T21:07:21.9464540Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9464980Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9530410Z Entering 'third_party/googletest'
2025-06-01T21:07:21.9596630Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9597500Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9662520Z Entering 'third_party/ideep'
2025-06-01T21:07:21.9729110Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9729340Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9792950Z Entering 'third_party/ideep/mkl-dnn'
2025-06-01T21:07:21.9859270Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9859500Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9928510Z Entering 'third_party/ittapi'
2025-06-01T21:07:21.9993760Z url.https://github.com/.insteadof
2025-06-01T21:07:21.9994000Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0059520Z Entering 'third_party/kineto'
2025-06-01T21:07:22.0123800Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0124060Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0188660Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-06-01T21:07:22.0253760Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0253980Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0317360Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-06-01T21:07:22.0382110Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0382330Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0447440Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-06-01T21:07:22.0510090Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0510310Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0574490Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-06-01T21:07:22.0640160Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0640390Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0707230Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-06-01T21:07:22.0773220Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0773440Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0838460Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-06-01T21:07:22.0903500Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0903720Z url.https://github.com/.insteadof
2025-06-01T21:07:22.0971220Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-06-01T21:07:22.1037060Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1037740Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1108800Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-06-01T21:07:22.1175580Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1175800Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1242900Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-06-01T21:07:22.1309420Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1309640Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1375840Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-06-01T21:07:22.1441320Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1441540Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1509620Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-06-01T21:07:22.1573450Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1573670Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1638610Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-06-01T21:07:22.1702560Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1702770Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1768890Z Entering 'third_party/kleidiai'
2025-06-01T21:07:22.1836180Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1836480Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1901810Z Entering 'third_party/mimalloc'
2025-06-01T21:07:22.1967800Z url.https://github.com/.insteadof
2025-06-01T21:07:22.1968020Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2032520Z Entering 'third_party/nlohmann'
2025-06-01T21:07:22.2096690Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2096970Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2162650Z Entering 'third_party/onnx'
2025-06-01T21:07:22.2226160Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2226390Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2298130Z Entering 'third_party/onnx/third_party/pybind11'
2025-06-01T21:07:22.2365340Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2366250Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2432540Z Entering 'third_party/opentelemetry-cpp'
2025-06-01T21:07:22.2497770Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2497990Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2561180Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-06-01T21:07:22.2625870Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2626090Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2690430Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-06-01T21:07:22.2753750Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2753980Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2818360Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-06-01T21:07:22.2882780Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2883000Z url.https://github.com/.insteadof
2025-06-01T21:07:22.2947670Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-06-01T21:07:22.3013260Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3013640Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3079990Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-06-01T21:07:22.3145500Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3145730Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3212230Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-06-01T21:07:22.3277360Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3277590Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3345780Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-06-01T21:07:22.3409190Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3409470Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3474540Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-06-01T21:07:22.3541200Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3541420Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3608070Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-06-01T21:07:22.3673540Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3673760Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3741400Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-06-01T21:07:22.3807460Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3807680Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3880400Z Entering 'third_party/pocketfft'
2025-06-01T21:07:22.3947150Z url.https://github.com/.insteadof
2025-06-01T21:07:22.3947360Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4011960Z Entering 'third_party/protobuf'
2025-06-01T21:07:22.4077870Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4078100Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4143900Z Entering 'third_party/protobuf/third_party/benchmark'
2025-06-01T21:07:22.4211060Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4216420Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4279010Z Entering 'third_party/protobuf/third_party/googletest'
2025-06-01T21:07:22.4345490Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4345800Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4414220Z Entering 'third_party/psimd'
2025-06-01T21:07:22.4481430Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4481670Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4545370Z Entering 'third_party/pthreadpool'
2025-06-01T21:07:22.4611460Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4611680Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4677420Z Entering 'third_party/pybind11'
2025-06-01T21:07:22.4740920Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4741160Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4807630Z Entering 'third_party/python-peachpy'
2025-06-01T21:07:22.4874610Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4874850Z url.https://github.com/.insteadof
2025-06-01T21:07:22.4941850Z Entering 'third_party/sleef'
2025-06-01T21:07:22.5008830Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5009060Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5072560Z Entering 'third_party/tensorpipe'
2025-06-01T21:07:22.5137380Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5137660Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5200990Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-06-01T21:07:22.5267110Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5267320Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5332830Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-06-01T21:07:22.5396370Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5396600Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5461040Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-06-01T21:07:22.5525260Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5525470Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5591270Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-06-01T21:07:22.5656800Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5657020Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5720080Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-06-01T21:07:22.5785740Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5785960Z url.https://github.com/.insteadof
2025-06-01T21:07:22.5863830Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-06-01T21:07:22.6348570Z Entering 'android/libs/fbjni'
2025-06-01T21:07:22.6449060Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-06-01T21:07:22.6483800Z Entering 'third_party/FP16'
2025-06-01T21:07:22.6581540Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-06-01T21:07:22.6616270Z Entering 'third_party/FXdiv'
2025-06-01T21:07:22.6713850Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-06-01T21:07:22.6748650Z Entering 'third_party/NNPACK'
2025-06-01T21:07:22.6845500Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-06-01T21:07:22.6878720Z Entering 'third_party/NVTX'
2025-06-01T21:07:22.6976340Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-06-01T21:07:22.7010820Z Entering 'third_party/VulkanMemoryAllocator'
2025-06-01T21:07:22.7105560Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-06-01T21:07:22.7139250Z Entering 'third_party/XNNPACK'
2025-06-01T21:07:22.7233580Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-06-01T21:07:22.7272710Z Entering 'third_party/benchmark'
2025-06-01T21:07:22.7370290Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-06-01T21:07:22.7403890Z Entering 'third_party/composable_kernel'
2025-06-01T21:07:22.7501970Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-06-01T21:07:22.7537910Z Entering 'third_party/cpp-httplib'
2025-06-01T21:07:22.7634500Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-06-01T21:07:22.7669640Z Entering 'third_party/cpuinfo'
2025-06-01T21:07:22.7767300Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-06-01T21:07:22.7801710Z Entering 'third_party/cudnn_frontend'
2025-06-01T21:07:22.7896780Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-06-01T21:07:22.7931000Z Entering 'third_party/cutlass'
2025-06-01T21:07:22.8028700Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-06-01T21:07:22.8065800Z Entering 'third_party/eigen'
2025-06-01T21:07:22.8164960Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/eigen/config	remote.origin.url
2025-06-01T21:07:22.8198900Z Entering 'third_party/fbgemm'
2025-06-01T21:07:22.8297670Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-06-01T21:07:22.8331380Z Entering 'third_party/fbgemm/external/asmjit'
2025-06-01T21:07:22.8426420Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-06-01T21:07:22.8459680Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-06-01T21:07:22.8555230Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-06-01T21:07:22.8591740Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-06-01T21:07:22.8691610Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-06-01T21:07:22.8725710Z Entering 'third_party/fbgemm/external/cutlass'
2025-06-01T21:07:22.8823710Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-06-01T21:07:22.8860220Z Entering 'third_party/fbgemm/external/googletest'
2025-06-01T21:07:22.8958530Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-06-01T21:07:22.8992840Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-06-01T21:07:22.9086680Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-06-01T21:07:22.9120970Z Entering 'third_party/fbgemm/external/json'
2025-06-01T21:07:22.9216450Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-06-01T21:07:22.9253310Z Entering 'third_party/flash-attention'
2025-06-01T21:07:22.9350670Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-06-01T21:07:22.9383270Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-06-01T21:07:22.9480250Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-06-01T21:07:22.9516040Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-06-01T21:07:22.9613510Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-06-01T21:07:22.9652570Z Entering 'third_party/flatbuffers'
2025-06-01T21:07:22.9748240Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-06-01T21:07:22.9783420Z Entering 'third_party/fmt'
2025-06-01T21:07:22.9878680Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-06-01T21:07:22.9913930Z Entering 'third_party/gemmlowp/gemmlowp'
2025-06-01T21:07:23.0011390Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2025-06-01T21:07:23.0046240Z Entering 'third_party/gloo'
2025-06-01T21:07:23.0143200Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2025-06-01T21:07:23.0177240Z Entering 'third_party/googletest'
2025-06-01T21:07:23.0273780Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2025-06-01T21:07:23.0308620Z Entering 'third_party/ideep'
2025-06-01T21:07:23.0406230Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2025-06-01T21:07:23.0439150Z Entering 'third_party/ideep/mkl-dnn'
2025-06-01T21:07:23.0535260Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2025-06-01T21:07:23.0572480Z Entering 'third_party/ittapi'
2025-06-01T21:07:23.0668920Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2025-06-01T21:07:23.0702590Z Entering 'third_party/kineto'
2025-06-01T21:07:23.0798930Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2025-06-01T21:07:23.0831850Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-06-01T21:07:23.0927710Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config	remote.origin.url
2025-06-01T21:07:23.0959690Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-06-01T21:07:23.1055640Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config	remote.origin.url
2025-06-01T21:07:23.1089960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-06-01T21:07:23.1185100Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config	remote.origin.url
2025-06-01T21:07:23.1219000Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-06-01T21:07:23.1314610Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config	remote.origin.url
2025-06-01T21:07:23.1348760Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-06-01T21:07:23.1446280Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config	remote.origin.url
2025-06-01T21:07:23.1479260Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-06-01T21:07:23.1577870Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config	remote.origin.url
2025-06-01T21:07:23.1614740Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-06-01T21:07:23.1713950Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
2025-06-01T21:07:23.1748800Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-06-01T21:07:23.1847680Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config	remote.origin.url
2025-06-01T21:07:23.1882850Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-06-01T21:07:23.1980840Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config	remote.origin.url
2025-06-01T21:07:23.2016020Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-06-01T21:07:23.2114150Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config	remote.origin.url
2025-06-01T21:07:23.2150790Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-06-01T21:07:23.2245680Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2025-06-01T21:07:23.2279490Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-06-01T21:07:23.2374170Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2025-06-01T21:07:23.2410120Z Entering 'third_party/kleidiai'
2025-06-01T21:07:23.2508540Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config	remote.origin.url
2025-06-01T21:07:23.2543350Z Entering 'third_party/mimalloc'
2025-06-01T21:07:23.2640180Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config	remote.origin.url
2025-06-01T21:07:23.2675600Z Entering 'third_party/nlohmann'
2025-06-01T21:07:23.2771610Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config	remote.origin.url
2025-06-01T21:07:23.2805280Z Entering 'third_party/onnx'
2025-06-01T21:07:23.2900840Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2025-06-01T21:07:23.2939550Z Entering 'third_party/onnx/third_party/pybind11'
2025-06-01T21:07:23.3037220Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2025-06-01T21:07:23.3072830Z Entering 'third_party/opentelemetry-cpp'
2025-06-01T21:07:23.3170350Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config	remote.origin.url
2025-06-01T21:07:23.3203250Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-06-01T21:07:23.3299530Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
2025-06-01T21:07:23.3333060Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-06-01T21:07:23.3428870Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
2025-06-01T21:07:23.3462650Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-06-01T21:07:23.3560360Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config	remote.origin.url
2025-06-01T21:07:23.3593560Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-06-01T21:07:23.3688500Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config	remote.origin.url
2025-06-01T21:07:23.3722830Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-06-01T21:07:23.3816980Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config	remote.origin.url
2025-06-01T21:07:23.3852260Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-06-01T21:07:23.3946650Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config	remote.origin.url
2025-06-01T21:07:23.3980810Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-06-01T21:07:23.4079390Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config	remote.origin.url
2025-06-01T21:07:23.4112290Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-06-01T21:07:23.4210490Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config	remote.origin.url
2025-06-01T21:07:23.4244510Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-06-01T21:07:23.4340210Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
2025-06-01T21:07:23.4376960Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-06-01T21:07:23.4472070Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
2025-06-01T21:07:23.4515740Z Entering 'third_party/pocketfft'
2025-06-01T21:07:23.4612650Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2025-06-01T21:07:23.4647750Z Entering 'third_party/protobuf'
2025-06-01T21:07:23.4745070Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2025-06-01T21:07:23.4779290Z Entering 'third_party/protobuf/third_party/benchmark'
2025-06-01T21:07:23.4879950Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2025-06-01T21:07:23.4914120Z Entering 'third_party/protobuf/third_party/googletest'
2025-06-01T21:07:23.5011770Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2025-06-01T21:07:23.5047890Z Entering 'third_party/psimd'
2025-06-01T21:07:23.5142760Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2025-06-01T21:07:23.5176760Z Entering 'third_party/pthreadpool'
2025-06-01T21:07:23.5273390Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2025-06-01T21:07:23.5307960Z Entering 'third_party/pybind11'
2025-06-01T21:07:23.5404150Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2025-06-01T21:07:23.5438130Z Entering 'third_party/python-peachpy'
2025-06-01T21:07:23.5535770Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2025-06-01T21:07:23.5569020Z Entering 'third_party/sleef'
2025-06-01T21:07:23.5665270Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2025-06-01T21:07:23.5700350Z Entering 'third_party/tensorpipe'
2025-06-01T21:07:23.5794930Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2025-06-01T21:07:23.5827930Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-06-01T21:07:23.5923810Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2025-06-01T21:07:23.5957120Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-06-01T21:07:23.6051860Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2025-06-01T21:07:23.6084780Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-06-01T21:07:23.6179470Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2025-06-01T21:07:23.6213390Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-06-01T21:07:23.6307690Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-06-01T21:07:23.6340440Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-06-01T21:07:23.6438200Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2025-06-01T21:07:23.6632300Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-06-01T21:07:23.7134710Z Entering 'android/libs/fbjni'
2025-06-01T21:07:23.7220790Z Entering 'third_party/FP16'
2025-06-01T21:07:23.7303730Z Entering 'third_party/FXdiv'
2025-06-01T21:07:23.7386230Z Entering 'third_party/NNPACK'
2025-06-01T21:07:23.7468940Z Entering 'third_party/NVTX'
2025-06-01T21:07:23.7551420Z Entering 'third_party/VulkanMemoryAllocator'
2025-06-01T21:07:23.7633660Z Entering 'third_party/XNNPACK'
2025-06-01T21:07:23.7721620Z Entering 'third_party/benchmark'
2025-06-01T21:07:23.7802790Z Entering 'third_party/composable_kernel'
2025-06-01T21:07:23.7886720Z Entering 'third_party/cpp-httplib'
2025-06-01T21:07:23.7967220Z Entering 'third_party/cpuinfo'
2025-06-01T21:07:23.8048980Z Entering 'third_party/cudnn_frontend'
2025-06-01T21:07:23.8128380Z Entering 'third_party/cutlass'
2025-06-01T21:07:23.8210230Z Entering 'third_party/eigen'
2025-06-01T21:07:23.8291450Z Entering 'third_party/fbgemm'
2025-06-01T21:07:23.8372760Z Entering 'third_party/fbgemm/external/asmjit'
2025-06-01T21:07:23.8452270Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-06-01T21:07:23.8533110Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-06-01T21:07:23.8615150Z Entering 'third_party/fbgemm/external/cutlass'
2025-06-01T21:07:23.8698830Z Entering 'third_party/fbgemm/external/googletest'
2025-06-01T21:07:23.8780990Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-06-01T21:07:23.8861860Z Entering 'third_party/fbgemm/external/json'
2025-06-01T21:07:23.8943590Z Entering 'third_party/flash-attention'
2025-06-01T21:07:23.9026280Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-06-01T21:07:23.9110370Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-06-01T21:07:23.9202590Z Entering 'third_party/flatbuffers'
2025-06-01T21:07:23.9281430Z Entering 'third_party/fmt'
2025-06-01T21:07:23.9362720Z Entering 'third_party/gemmlowp/gemmlowp'
2025-06-01T21:07:23.9442150Z Entering 'third_party/gloo'
2025-06-01T21:07:23.9523290Z Entering 'third_party/googletest'
2025-06-01T21:07:23.9602420Z Entering 'third_party/ideep'
2025-06-01T21:07:23.9680960Z Entering 'third_party/ideep/mkl-dnn'
2025-06-01T21:07:23.9766440Z Entering 'third_party/ittapi'
2025-06-01T21:07:23.9850060Z Entering 'third_party/kineto'
2025-06-01T21:07:23.9931280Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-06-01T21:07:24.0013610Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-06-01T21:07:24.0096390Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-06-01T21:07:24.0178800Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-06-01T21:07:24.0259900Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-06-01T21:07:24.0340090Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-06-01T21:07:24.0420990Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-06-01T21:07:24.0501270Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-06-01T21:07:24.0580820Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-06-01T21:07:24.0662600Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-06-01T21:07:24.0746080Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-06-01T21:07:24.0828220Z Entering 'third_party/kineto/libkineto/third_party/googletest'
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2025-06-01T21:07:24.1247040Z Entering 'third_party/onnx/third_party/pybind11'
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2025-06-01T21:07:24.1738850Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-06-01T21:07:24.1820680Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
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2025-06-01T21:07:24.2896510Z Entering 'third_party/sleef'
2025-06-01T21:07:24.2976120Z Entering 'third_party/tensorpipe'
2025-06-01T21:07:24.3056160Z Entering 'third_party/tensorpipe/third_party/googletest'
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2025-06-01T21:07:24.3219250Z Entering 'third_party/tensorpipe/third_party/libuv'
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2025-06-01T21:07:24.3383190Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-06-01T21:07:24.3481090Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-06-01T21:07:24.3980130Z Entering 'android/libs/fbjni'
2025-06-01T21:07:24.4063480Z Entering 'third_party/FP16'
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2025-06-01T21:07:24.4226320Z Entering 'third_party/NNPACK'
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2025-06-01T21:07:24.4637020Z Entering 'third_party/composable_kernel'
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2025-06-01T21:07:24.4881750Z Entering 'third_party/cudnn_frontend'
2025-06-01T21:07:24.4961640Z Entering 'third_party/cutlass'
2025-06-01T21:07:24.5046100Z Entering 'third_party/eigen'
2025-06-01T21:07:24.5129030Z Entering 'third_party/fbgemm'
2025-06-01T21:07:24.5210850Z Entering 'third_party/fbgemm/external/asmjit'
2025-06-01T21:07:24.5292610Z Entering 'third_party/fbgemm/external/composable_kernel'
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2025-06-01T21:07:24.5543300Z Entering 'third_party/fbgemm/external/googletest'
2025-06-01T21:07:24.5627810Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-06-01T21:07:24.5710810Z Entering 'third_party/fbgemm/external/json'
2025-06-01T21:07:24.5796690Z Entering 'third_party/flash-attention'
2025-06-01T21:07:24.5879650Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-06-01T21:07:24.5964230Z Entering 'third_party/flash-attention/csrc/cutlass'
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2025-06-01T21:07:24.6136510Z Entering 'third_party/fmt'
2025-06-01T21:07:24.6217990Z Entering 'third_party/gemmlowp/gemmlowp'
2025-06-01T21:07:24.6300940Z Entering 'third_party/gloo'
2025-06-01T21:07:24.6496280Z Entering 'third_party/googletest'
2025-06-01T21:07:24.6653900Z Entering 'third_party/ideep'
2025-06-01T21:07:24.6733850Z Entering 'third_party/ideep/mkl-dnn'
2025-06-01T21:07:24.6821020Z Entering 'third_party/ittapi'
2025-06-01T21:07:24.6905890Z Entering 'third_party/kineto'
2025-06-01T21:07:24.6990340Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-06-01T21:07:24.7072670Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-06-01T21:07:24.7190300Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-06-01T21:07:24.7283510Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-06-01T21:07:24.7368320Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-06-01T21:07:24.7447080Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-06-01T21:07:24.7531350Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-06-01T21:07:24.7613530Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-06-01T21:07:24.7694140Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-06-01T21:07:24.7776280Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-06-01T21:07:24.7862310Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-06-01T21:07:24.7943240Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-06-01T21:07:24.8025720Z Entering 'third_party/kleidiai'
2025-06-01T21:07:24.8106130Z Entering 'third_party/mimalloc'
2025-06-01T21:07:24.8185180Z Entering 'third_party/nlohmann'
2025-06-01T21:07:24.8264030Z Entering 'third_party/onnx'
2025-06-01T21:07:24.8347960Z Entering 'third_party/onnx/third_party/pybind11'
2025-06-01T21:07:24.8430410Z Entering 'third_party/opentelemetry-cpp'
2025-06-01T21:07:24.8511360Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-06-01T21:07:24.8593090Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-06-01T21:07:24.8674430Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-06-01T21:07:24.8754200Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-06-01T21:07:24.8834540Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-06-01T21:07:24.8915460Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-06-01T21:07:24.8997730Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-06-01T21:07:24.9077850Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-06-01T21:07:24.9159490Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-06-01T21:07:24.9241440Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-06-01T21:07:24.9333110Z Entering 'third_party/pocketfft'
2025-06-01T21:07:24.9414290Z Entering 'third_party/protobuf'
2025-06-01T21:07:24.9494240Z Entering 'third_party/protobuf/third_party/benchmark'
2025-06-01T21:07:24.9574560Z Entering 'third_party/protobuf/third_party/googletest'
2025-06-01T21:07:24.9657720Z Entering 'third_party/psimd'
2025-06-01T21:07:24.9737690Z Entering 'third_party/pthreadpool'
2025-06-01T21:07:24.9817410Z Entering 'third_party/pybind11'
2025-06-01T21:07:24.9896800Z Entering 'third_party/python-peachpy'
2025-06-01T21:07:24.9978850Z Entering 'third_party/sleef'
2025-06-01T21:07:25.0059590Z Entering 'third_party/tensorpipe'
2025-06-01T21:07:25.0138320Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-06-01T21:07:25.0217140Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-06-01T21:07:25.0300090Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-06-01T21:07:25.0380700Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-06-01T21:07:25.0458730Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-06-01T21:07:25.0550990Z ##[endgroup]
2025-06-01T21:07:25.0624300Z [command]/usr/bin/git log -1 --format=%H
2025-06-01T21:07:25.0685590Z f7c09f864a6c6467a7454f1431340d3338473fd1
2025-06-01T21:07:25.0764950Z Prepare all required actions
2025-06-01T21:07:25.0783620Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-06-01T21:07:25.0783810Z with:
2025-06-01T21:07:25.0784060Z   github-token: ***
2025-06-01T21:07:25.0784180Z env:
2025-06-01T21:07:25.0784280Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:25.0784430Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:25.0784590Z   TEST_CONFIG: default
2025-06-01T21:07:25.0784710Z   SHARD_NUMBER: 1
2025-06-01T21:07:25.0784830Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:25.0784950Z   PR_BODY: 
2025-06-01T21:07:25.0785050Z ##[endgroup]
2025-06-01T21:07:25.0802560Z ##[group]Run set -eux
2025-06-01T21:07:25.0802700Z set -eux
2025-06-01T21:07:25.0802950Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-06-01T21:07:25.1096260Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:07:25.1096460Z env:
2025-06-01T21:07:25.1096570Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:25.1096750Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:25.1096910Z   TEST_CONFIG: default
2025-06-01T21:07:25.1097030Z   SHARD_NUMBER: 1
2025-06-01T21:07:25.1097150Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:25.1097270Z   PR_BODY: 
2025-06-01T21:07:25.1097470Z   GITHUB_TOKEN: ***
2025-06-01T21:07:25.1097600Z ##[endgroup]
2025-06-01T21:07:25.1324180Z + python3 .github/scripts/get_workflow_job_id.py 15379340894 i-071cf36b9fdb56f34
2025-06-01T21:07:25.7162060Z setting job-id=43268262760
2025-06-01T21:07:25.7162940Z setting job-name=macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-06-01T21:07:25.7327220Z ##[group]Run ${CONDA_RUN} python3 -m pip install psutil==5.9.1 dataclasses_json==0.6.7
2025-06-01T21:07:25.7328060Z ${CONDA_RUN} python3 -m pip install psutil==5.9.1 dataclasses_json==0.6.7
2025-06-01T21:07:25.7329480Z ${CONDA_RUN} python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-06-01T21:07:25.7330580Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-06-01T21:07:25.7358970Z shell: /bin/bash -e -l {0}
2025-06-01T21:07:25.7359240Z env:
2025-06-01T21:07:25.7359460Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:25.7359790Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:25.7360120Z   TEST_CONFIG: default
2025-06-01T21:07:25.7360370Z   SHARD_NUMBER: 1
2025-06-01T21:07:25.7360600Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:25.7360880Z   PR_BODY: 
2025-06-01T21:07:25.7361090Z   JOB_ID: 43268262760
2025-06-01T21:07:25.7361520Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-06-01T21:07:25.7361960Z   WORKFLOW_NAME: trunk
2025-06-01T21:07:25.7362260Z   WORKFLOW_RUN_ID: 15379340894
2025-06-01T21:07:25.7362570Z   MONITOR_LOG_INTERVAL: 5
2025-06-01T21:07:25.7362900Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-06-01T21:07:25.7363200Z ##[endgroup]
2025-06-01T21:07:26.4901030Z Defaulting to user installation because normal site-packages is not writeable
2025-06-01T21:07:26.5142410Z Requirement already satisfied: psutil==5.9.1 in /Users/ec2-user/Library/Python/3.9/lib/python/site-packages (5.9.1)
2025-06-01T21:07:26.5146280Z Requirement already satisfied: dataclasses_json==0.6.7 in /Users/ec2-user/Library/Python/3.9/lib/python/site-packages (0.6.7)
2025-06-01T21:07:26.5197400Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /Users/ec2-user/Library/Python/3.9/lib/python/site-packages (from dataclasses_json==0.6.7) (3.26.1)
2025-06-01T21:07:26.5201420Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /Users/ec2-user/Library/Python/3.9/lib/python/site-packages (from dataclasses_json==0.6.7) (0.9.0)
2025-06-01T21:07:26.5252740Z Requirement already satisfied: packaging>=17.0 in /Users/ec2-user/Library/Python/3.9/lib/python/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0)
2025-06-01T21:07:26.5271680Z Requirement already satisfied: typing-extensions>=3.7.4 in /Users/ec2-user/Library/Python/3.9/lib/python/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.13.2)
2025-06-01T21:07:26.5275360Z Requirement already satisfied: mypy-extensions>=0.3.0 in /Users/ec2-user/Library/Python/3.9/lib/python/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0)
2025-06-01T21:07:26.5617370Z WARNING: You are using pip version 21.2.4; however, version 25.1.1 is available.
2025-06-01T21:07:26.5617960Z You should consider upgrading via the '/Library/Developer/CommandLineTools/usr/bin/python3 -m pip install --upgrade pip' command.
2025-06-01T21:07:26.5849770Z Prepare all required actions
2025-06-01T21:07:26.5850050Z Getting action download info
2025-06-01T21:07:26.8032430Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-06-01T21:07:27.0024070Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-06-01T21:07:27.2364920Z ##[group]Run ./.github/actions/download-build-artifacts
2025-06-01T21:07:27.2365170Z with:
2025-06-01T21:07:27.2365310Z   name: macos-py3-arm64
2025-06-01T21:07:27.2365460Z   use-gha: true
2025-06-01T21:07:27.2365600Z   s3-bucket: gha-artifacts
2025-06-01T21:07:27.2365750Z env:
2025-06-01T21:07:27.2365890Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:27.2366060Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:27.2366240Z   TEST_CONFIG: default
2025-06-01T21:07:27.2366370Z   SHARD_NUMBER: 1
2025-06-01T21:07:27.2366510Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:27.2366640Z   PR_BODY: 
2025-06-01T21:07:27.2366790Z ##[endgroup]
2025-06-01T21:07:27.2389930Z ##[group]Run actions/download-artifact@v4
2025-06-01T21:07:27.2390100Z with:
2025-06-01T21:07:27.2390220Z   name: macos-py3-arm64
2025-06-01T21:07:27.2390560Z   merge-multiple: false
2025-06-01T21:07:27.2390710Z   repository: pytorch/pytorch
2025-06-01T21:07:27.2390870Z   run-id: 15379340894
2025-06-01T21:07:27.2391000Z env:
2025-06-01T21:07:27.2391130Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:27.2391290Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:27.2391460Z   TEST_CONFIG: default
2025-06-01T21:07:27.2391650Z   SHARD_NUMBER: 1
2025-06-01T21:07:27.2391780Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:27.2391900Z   PR_BODY: 
2025-06-01T21:07:27.2392010Z ##[endgroup]
2025-06-01T21:07:27.3789270Z Downloading single artifact
2025-06-01T21:07:27.4551690Z Preparing to download the following artifacts:
2025-06-01T21:07:27.4552290Z - macos-py3-arm64 (ID: 3237243780, Size: 68779441, Expected Digest: sha256:8308a39ae637cba8a17389d2fa4cfc9f65e115f788e709297905d579089b95c0)
2025-06-01T21:07:27.5033220Z Redirecting to blob download url: https://productionresultssa19.blob.core.windows.net/actions-results/5c207763-d9e6-4a91-92ce-4508be303e2e/workflow-job-run-63f3c798-ec88-5df9-9d22-22b0ff6fb346/artifacts/e6751562b1f6f20bcd6ad8a8dad1f3c02045e3fad46dd739dee73dcfde9461bb.zip
2025-06-01T21:07:27.5034440Z Starting download of artifact to: /Users/ec2-user/runner/_work/pytorch/pytorch
2025-06-01T21:07:27.6015630Z (node:11987) [DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues. Please use the Buffer.alloc(), Buffer.allocUnsafe(), or Buffer.from() methods instead.
2025-06-01T21:07:27.6017140Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-06-01T21:07:28.2838650Z SHA256 digest of downloaded artifact is 8308a39ae637cba8a17389d2fa4cfc9f65e115f788e709297905d579089b95c0
2025-06-01T21:07:28.2839060Z Artifact download completed successfully.
2025-06-01T21:07:28.2839270Z Total of 1 artifact(s) downloaded
2025-06-01T21:07:28.2842610Z Download artifact has finished successfully
2025-06-01T21:07:28.2890750Z ##[group]Run unzip -o artifacts.zip
2025-06-01T21:07:28.2890990Z unzip -o artifacts.zip
2025-06-01T21:07:28.2907830Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:07:28.2908060Z env:
2025-06-01T21:07:28.2908200Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:28.2908390Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:28.2908580Z   TEST_CONFIG: default
2025-06-01T21:07:28.2908730Z   SHARD_NUMBER: 1
2025-06-01T21:07:28.2908880Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:28.2909020Z   PR_BODY: 
2025-06-01T21:07:28.2909150Z ##[endgroup]
2025-06-01T21:07:28.3223950Z Archive:  artifacts.zip
2025-06-01T21:07:28.3224220Z    creating: dist/
2025-06-01T21:07:28.7584090Z   inflating: dist/torch-2.8.0a0+gitf7c09f8-cp312-cp312-macosx_11_0_arm64.whl  
2025-06-01T21:07:28.7705750Z   inflating: build/.ninja_log        
2025-06-01T21:07:28.8194030Z   inflating: build/compile_commands.json  
2025-06-01T21:07:28.8194680Z    creating: .additional_ci_files/
2025-06-01T21:07:28.8298300Z   inflating: .additional_ci_files/test-times.json  
2025-06-01T21:07:28.8768100Z   inflating: .additional_ci_files/test-class-times.json  
2025-06-01T21:07:28.8787660Z ##[group]Run rm artifacts.zip
2025-06-01T21:07:28.8787890Z rm artifacts.zip
2025-06-01T21:07:28.8804390Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:07:28.8804620Z env:
2025-06-01T21:07:28.8804750Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:28.8804940Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:28.8805130Z   TEST_CONFIG: default
2025-06-01T21:07:28.8805270Z   SHARD_NUMBER: 1
2025-06-01T21:07:28.8805420Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:28.8805560Z   PR_BODY: 
2025-06-01T21:07:28.8805700Z ##[endgroup]
2025-06-01T21:07:28.9085000Z ##[group]Run df -H
2025-06-01T21:07:28.9085240Z df -H
2025-06-01T21:07:28.9101080Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:07:28.9101300Z env:
2025-06-01T21:07:28.9101460Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:28.9101640Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:28.9101820Z   TEST_CONFIG: default
2025-06-01T21:07:28.9101960Z   SHARD_NUMBER: 1
2025-06-01T21:07:28.9102240Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:28.9102390Z   PR_BODY: 
2025-06-01T21:07:28.9102510Z ##[endgroup]
2025-06-01T21:07:28.9354340Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-06-01T21:07:28.9354820Z /dev/disk5s2s1    275G     10G    159G     7%    404k  1.6G    0%   /
2025-06-01T21:07:28.9355130Z devfs             222k    222k      0B   100%     752     0  100%   /dev
2025-06-01T21:07:28.9355460Z /dev/disk5s5      275G   2148M    159G     2%       2  1.6G    0%   /System/Volumes/VM
2025-06-01T21:07:28.9355840Z /dev/disk5s3      275G   6122M    159G     4%    1.0k  1.6G    0%   /System/Volumes/Preboot
2025-06-01T21:07:28.9356210Z /dev/disk1s2      524M   6312k    406M     2%       1  4.0M    0%   /System/Volumes/xarts
2025-06-01T21:07:28.9356650Z /dev/disk1s1      524M     56M    406M    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-06-01T21:07:28.9357020Z /dev/disk1s3      524M    905k    406M     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-06-01T21:07:28.9357450Z /dev/disk5s1      275G     96G    159G    38%    5.9M  1.6G    0%   /System/Volumes/Data
2025-06-01T21:07:28.9357820Z map auto_home       0B      0B      0B   100%       0     0     -   /System/Volumes/Data/home
2025-06-01T21:07:28.9358190Z /dev/disk3s4      245G    123k    226G     1%      18  2.2G    0%   /private/tmp/tmp-mount-mRkKbB
2025-06-01T21:07:28.9391940Z Prepare all required actions
2025-06-01T21:07:28.9392220Z Getting action download info
2025-06-01T21:07:29.0643830Z ##[group]Run ./.github/actions/download-td-artifacts
2025-06-01T21:07:29.0644200Z with:
2025-06-01T21:07:29.0644410Z   use-gha: true
2025-06-01T21:07:29.0644670Z env:
2025-06-01T21:07:29.0644880Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:29.0645200Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:29.0645530Z   TEST_CONFIG: default
2025-06-01T21:07:29.0645790Z   SHARD_NUMBER: 1
2025-06-01T21:07:29.0646030Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:29.0646280Z   PR_BODY: 
2025-06-01T21:07:29.0646510Z ##[endgroup]
2025-06-01T21:07:29.0685670Z ##[group]Run actions/download-artifact@v4
2025-06-01T21:07:29.0685990Z with:
2025-06-01T21:07:29.0686200Z   name: td_results.json
2025-06-01T21:07:29.0686470Z   merge-multiple: false
2025-06-01T21:07:29.0686750Z   repository: pytorch/pytorch
2025-06-01T21:07:29.0687040Z   run-id: 15379340894
2025-06-01T21:07:29.0687280Z env:
2025-06-01T21:07:29.0687550Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:29.0687900Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:29.0688220Z   TEST_CONFIG: default
2025-06-01T21:07:29.0688490Z   SHARD_NUMBER: 1
2025-06-01T21:07:29.0688740Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:29.0688990Z   PR_BODY: 
2025-06-01T21:07:29.0689200Z ##[endgroup]
2025-06-01T21:07:29.2014610Z Downloading single artifact
2025-06-01T21:07:29.2671600Z Preparing to download the following artifacts:
2025-06-01T21:07:29.2672110Z - td_results.json (ID: 3237255263, Size: 16713, Expected Digest: sha256:29e2387c933298dfacc4ab0661106b76b796bec46ed4c21c18b20854362e1e5b)
2025-06-01T21:07:29.3144260Z Redirecting to blob download url: https://productionresultssa19.blob.core.windows.net/actions-results/5c207763-d9e6-4a91-92ce-4508be303e2e/workflow-job-run-14988b76-4472-5e13-8637-e6161725cbf5/artifacts/adc6e1455d65305bef307fe59db64c62b28fcb8f1e044d47ac9f5a2f27485441.zip
2025-06-01T21:07:29.3145600Z Starting download of artifact to: /Users/ec2-user/runner/_work/pytorch/pytorch
2025-06-01T21:07:29.3560280Z (node:12000) [DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues. Please use the Buffer.alloc(), Buffer.allocUnsafe(), or Buffer.from() methods instead.
2025-06-01T21:07:29.3561400Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-06-01T21:07:29.3606980Z SHA256 digest of downloaded artifact is 29e2387c933298dfacc4ab0661106b76b796bec46ed4c21c18b20854362e1e5b
2025-06-01T21:07:29.3607580Z Artifact download completed successfully.
2025-06-01T21:07:29.3607930Z Total of 1 artifact(s) downloaded
2025-06-01T21:07:29.3612400Z Download artifact has finished successfully
2025-06-01T21:07:29.3669950Z ##[group]Run mkdir -p .additional_ci_files
2025-06-01T21:07:29.3670350Z mkdir -p .additional_ci_files
2025-06-01T21:07:29.3670790Z mv td_results.json .additional_ci_files/td_results.json || true
2025-06-01T21:07:29.3694830Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:07:29.3695170Z env:
2025-06-01T21:07:29.3695360Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:29.3695640Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:29.3695920Z   TEST_CONFIG: default
2025-06-01T21:07:29.3696150Z   SHARD_NUMBER: 1
2025-06-01T21:07:29.3696350Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:29.3696570Z   PR_BODY: 
2025-06-01T21:07:29.3696740Z ##[endgroup]
2025-06-01T21:07:29.4101840Z ##[group]Run pytorch/test-infra/.github/actions/setup-miniconda@main
2025-06-01T21:07:29.4102120Z with:
2025-06-01T21:07:29.4102260Z   python-version: 3.12.7
2025-06-01T21:07:29.4102500Z   environment-file: .github/requirements/conda-env-macOS-ARM64
2025-06-01T21:07:29.4102870Z   pip-requirements-file: .github/requirements/pip-requirements-macOS.txt
2025-06-01T21:07:29.4103160Z   miniconda-version: 24.7.1-0
2025-06-01T21:07:29.4103320Z env:
2025-06-01T21:07:29.4103460Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:29.4103630Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:29.4103810Z   TEST_CONFIG: default
2025-06-01T21:07:29.4103960Z   SHARD_NUMBER: 1
2025-06-01T21:07:29.4104090Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:29.4104240Z   PR_BODY: 
2025-06-01T21:07:29.4104370Z ##[endgroup]
2025-06-01T21:07:29.4127250Z ##[group]Run echo "today=$(/bin/date -u '+%Y%m%d')d" >> "${GITHUB_OUTPUT}"
2025-06-01T21:07:29.4127620Z echo "today=$(/bin/date -u '+%Y%m%d')d" >> "${GITHUB_OUTPUT}"
2025-06-01T21:07:29.4128010Z echo "default_packages_checksum=$(echo -n  | md5sum | awk '{print $1}' )" >> "${GITHUB_OUTPUT}"
2025-06-01T21:07:29.4143500Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:07:29.4143740Z env:
2025-06-01T21:07:29.4143870Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:29.4144040Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:29.4144250Z   TEST_CONFIG: default
2025-06-01T21:07:29.4144400Z   SHARD_NUMBER: 1
2025-06-01T21:07:29.4144540Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:29.4144670Z   PR_BODY: 
2025-06-01T21:07:29.4144810Z ##[endgroup]
2025-06-01T21:07:29.4438300Z /Users/ec2-user/runner/_work/_temp/06aa1679-d86c-47b0-8cfb-9bc6acaedf7e.sh: line 2: md5sum: command not found
2025-06-01T21:07:29.4476130Z ##[group]Run actions/cache@v3
2025-06-01T21:07:29.4476310Z with:
2025-06-01T21:07:29.4476470Z   path: /Users/ec2-user/runner/_work/_temp/miniconda
2025-06-01T21:07:29.4476750Z   key: miniconda-24.7.1-0-macOS-ARM64-3.12.7--20250601d
2025-06-01T21:07:29.4477000Z   enableCrossOsArchive: false
2025-06-01T21:07:29.4477190Z   fail-on-cache-miss: false
2025-06-01T21:07:29.4477360Z   lookup-only: false
2025-06-01T21:07:29.4477510Z env:
2025-06-01T21:07:29.4477640Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:29.4477830Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:29.4478040Z   TEST_CONFIG: default
2025-06-01T21:07:29.4478180Z   SHARD_NUMBER: 1
2025-06-01T21:07:29.4478330Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:29.4478470Z   PR_BODY: 
2025-06-01T21:07:29.4478610Z ##[endgroup]
2025-06-01T21:07:29.6352850Z Cache hit for: miniconda-24.7.1-0-macOS-ARM64-3.12.7--20250601d
2025-06-01T21:07:30.6702340Z Received 213909504 of 272683314 (78.4%), 204.0 MBs/sec
2025-06-01T21:07:31.2218110Z Received 272683314 of 272683314 (100.0%), 167.7 MBs/sec
2025-06-01T21:07:31.2348140Z Cache Size: ~260 MB (272683314 B)
2025-06-01T21:07:31.2439150Z [command]/usr/bin/tar -xf /Users/ec2-user/runner/_work/_temp/bee9d07e-5199-404a-8608-f2ff2b022245/cache.tzst -P -C /Users/ec2-user/runner/_work/pytorch/pytorch --use-compress-program unzstd
2025-06-01T21:07:39.1843760Z Cache restored successfully
2025-06-01T21:07:39.1946630Z Cache restored from key: miniconda-24.7.1-0-macOS-ARM64-3.12.7--20250601d
2025-06-01T21:07:39.2013310Z ##[group]Run set -x
2025-06-01T21:07:39.2013490Z set -x
2025-06-01T21:07:39.2013630Z 
2025-06-01T21:07:39.2013830Z MINICONDA_INSTALL_PATH="${RUNNER_TEMP}/miniconda"
2025-06-01T21:07:39.2014140Z echo "${MINICONDA_INSTALL_PATH}/bin" >> $GITHUB_PATH
2025-06-01T21:07:39.2014480Z # NB: GITHUB_PATH has a lower priority than PATH, so also set the path
2025-06-01T21:07:39.2014810Z # here to make sure that the correct conda is used
2025-06-01T21:07:39.2015050Z {
2025-06-01T21:07:39.2015240Z   echo "PATH=${MINICONDA_INSTALL_PATH}/bin:${PATH}"
2025-06-01T21:07:39.2015510Z   echo "CONDA_EXE=${MINICONDA_INSTALL_PATH}/bin/conda";
2025-06-01T21:07:39.2016110Z } >> "${GITHUB_ENV}"
2025-06-01T21:07:39.3927230Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:07:39.3927480Z env:
2025-06-01T21:07:39.3927630Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:39.3927860Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:39.3928080Z   TEST_CONFIG: default
2025-06-01T21:07:39.3928260Z   SHARD_NUMBER: 1
2025-06-01T21:07:39.3928420Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:39.3928570Z   PR_BODY: 
2025-06-01T21:07:39.3928710Z ##[endgroup]
2025-06-01T21:07:39.4216790Z + MINICONDA_INSTALL_PATH=/Users/ec2-user/runner/_work/_temp/miniconda
2025-06-01T21:07:39.4217200Z + echo /Users/ec2-user/runner/_work/_temp/miniconda/bin
2025-06-01T21:07:39.4218220Z + echo PATH=/Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T21:07:39.4219050Z + echo CONDA_EXE=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:07:39.5401310Z ##[group]Run actions/cache@v3
2025-06-01T21:07:39.5401600Z with:
2025-06-01T21:07:39.5401790Z   path: /Users/ec2-user/runner/_work/_temp/conda-python-3.12.7
2025-06-01T21:07:39.5402470Z   key: miniconda-env-macOS-ARM64-3.12.7--20250601d-a8f30617a7f62772164c7c91c39ee9a585b628d3aad48bfb3bf3ec5c5df7f5eb-dfe02fdbcd2763a130ed0bc37d2567ec0fda7b3f7281f2d3e267bfd158c30cd9
2025-06-01T21:07:39.5403130Z   enableCrossOsArchive: false
2025-06-01T21:07:39.5403320Z   fail-on-cache-miss: false
2025-06-01T21:07:39.5403480Z   lookup-only: false
2025-06-01T21:07:39.5403640Z env:
2025-06-01T21:07:39.5403760Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:39.5403950Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:39.5404130Z   TEST_CONFIG: default
2025-06-01T21:07:39.5404270Z   SHARD_NUMBER: 1
2025-06-01T21:07:39.5404460Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:39.5404590Z   PR_BODY: 
2025-06-01T21:07:39.5405170Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T21:07:39.5405860Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:07:39.5406110Z ##[endgroup]
2025-06-01T21:07:39.9445810Z Cache hit for: miniconda-env-macOS-ARM64-3.12.7--20250601d-a8f30617a7f62772164c7c91c39ee9a585b628d3aad48bfb3bf3ec5c5df7f5eb-dfe02fdbcd2763a130ed0bc37d2567ec0fda7b3f7281f2d3e267bfd158c30cd9
2025-06-01T21:07:40.9870630Z Received 260046848 of 284473387 (91.4%), 248.0 MBs/sec
2025-06-01T21:07:41.3012310Z Received 284473387 of 284473387 (100.0%), 206.3 MBs/sec
2025-06-01T21:07:41.3119770Z Cache Size: ~271 MB (284473387 B)
2025-06-01T21:07:41.3163480Z [command]/usr/bin/tar -xf /Users/ec2-user/runner/_work/_temp/86430349-cc84-48fc-bea4-485ba86f0796/cache.tzst -P -C /Users/ec2-user/runner/_work/pytorch/pytorch --use-compress-program unzstd
2025-06-01T21:07:53.1075490Z Cache restored successfully
2025-06-01T21:07:53.1232770Z Cache restored from key: miniconda-env-macOS-ARM64-3.12.7--20250601d-a8f30617a7f62772164c7c91c39ee9a585b628d3aad48bfb3bf3ec5c5df7f5eb-dfe02fdbcd2763a130ed0bc37d2567ec0fda7b3f7281f2d3e267bfd158c30cd9
2025-06-01T21:07:53.1419360Z ##[group]Run set -x
2025-06-01T21:07:53.1419700Z set -x
2025-06-01T21:07:53.1419840Z 
2025-06-01T21:07:53.1420060Z # Print the conda we are using here in case we need debugging information
2025-06-01T21:07:53.1420340Z CONDA_RUNTIME=$(which conda)
2025-06-01T21:07:53.1420540Z "${CONDA_RUNTIME}" --version
2025-06-01T21:07:53.1420700Z 
2025-06-01T21:07:53.1421010Z # https://docs.conda.io/projects/conda-build/en/stable/user-guide/environment-variables.html
2025-06-01T21:07:53.1421410Z CONDA_PREFIX="${RUNNER_TEMP}/conda_environment_${GITHUB_RUN_ID}"
2025-06-01T21:07:53.1421660Z "${CONDA_RUNTIME}" create \
2025-06-01T21:07:53.1421830Z   --yes --quiet \
2025-06-01T21:07:53.1422220Z   --prefix "${CONDA_PREFIX}" \
2025-06-01T21:07:53.1422440Z   --clone "${CONDA_BASE_ENV}"
2025-06-01T21:07:53.1422610Z 
2025-06-01T21:07:53.1422750Z set +e
2025-06-01T21:07:53.1423010Z # NB: Cloning sometimes doesn't copied pip dependencies (untracked files) over. If this
2025-06-01T21:07:53.1423440Z # happens, let's attempt to install the pip requirements directly on top of the cloned
2025-06-01T21:07:53.1423850Z # environment. This is to make sure that no dependency is missing.
2025-06-01T21:07:53.1424280Z UNTRACKED_FILES_COUNT=$("${CONDA_RUNTIME}" package -p "${CONDA_PREFIX}" -u | grep -v "^#" | wc -l | xargs)
2025-06-01T21:07:53.1424600Z set -e
2025-06-01T21:07:53.1424790Z 
2025-06-01T21:07:53.1425010Z if [[ -z "${UNTRACKED_FILES_COUNT}" ]] || [[ "${UNTRACKED_FILES_COUNT}" == "0" ]]; then
2025-06-01T21:07:53.1425320Z   if [[ -f "${PIP_REQUIREMENTS_FILE}" ]]; then
2025-06-01T21:07:53.1425650Z     # NB: Force reinstall and don't use the cache, as the installation would still fail
2025-06-01T21:07:53.1426030Z     # when reporting that all requirements have been satisfied
2025-06-01T21:07:53.1426570Z     "${CONDA_RUNTIME}" run -p "${CONDA_PREFIX}" --no-capture-output python3 -mpip install --ignore-installed --no-cache-dir -r "${PIP_REQUIREMENTS_FILE}"
2025-06-01T21:07:53.1427140Z   elif [[ -n "${PIP_REQUIREMENTS_FILE}" ]]; then
2025-06-01T21:07:53.1427560Z     echo "::warning::Specified pip requirements file (${PIP_REQUIREMENTS_FILE}) not found, not going to include it"
2025-06-01T21:07:53.1427910Z   fi
2025-06-01T21:07:53.1428110Z fi
2025-06-01T21:07:53.1428230Z 
2025-06-01T21:07:53.1428500Z # Keep exporting CONDA_PREFIX under CONDA_ENV because the latter could be used elsewhere
2025-06-01T21:07:53.1428860Z echo "CONDA_ENV=${CONDA_PREFIX}" >> "${GITHUB_ENV}"
2025-06-01T21:07:53.1429090Z 
2025-06-01T21:07:53.1429280Z echo "CONDA_PREFIX=${CONDA_PREFIX}" >> "${GITHUB_ENV}"
2025-06-01T21:07:53.1429660Z echo "CONDA_RUN=${CONDA_RUNTIME} run -p ${CONDA_PREFIX} --no-capture-output" >> "${GITHUB_ENV}"
2025-06-01T21:07:53.1430110Z echo "CONDA_INSTALL=${CONDA_RUNTIME} install --yes --quiet -p ${CONDA_PREFIX}" >> "${GITHUB_ENV}"
2025-06-01T21:07:53.1450190Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:07:53.1450430Z env:
2025-06-01T21:07:53.1450560Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:07:53.1450740Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:07:53.1450910Z   TEST_CONFIG: default
2025-06-01T21:07:53.1451060Z   SHARD_NUMBER: 1
2025-06-01T21:07:53.1451210Z   NUM_TEST_SHARDS: 3
2025-06-01T21:07:53.1451340Z   PR_BODY: 
2025-06-01T21:07:53.1451920Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T21:07:53.1452600Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:07:53.1452850Z   PYTHON_VERSION: 3.12.7
2025-06-01T21:07:53.1453090Z   CONDA_BASE_ENV: /Users/ec2-user/runner/_work/_temp/conda-python-3.12.7
2025-06-01T21:07:53.1453500Z   PIP_REQUIREMENTS_FILE: .github/requirements/pip-requirements-macOS.txt
2025-06-01T21:07:53.1453750Z ##[endgroup]
2025-06-01T21:07:53.1694970Z ++ which conda
2025-06-01T21:07:53.1847590Z + CONDA_RUNTIME=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:07:53.1848050Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda --version
2025-06-01T21:07:56.6343830Z conda 24.7.1
2025-06-01T21:07:56.6625640Z + CONDA_PREFIX=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:07:56.6627430Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda create --yes --quiet --prefix /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --clone /Users/ec2-user/runner/_work/_temp/conda-python-3.12.7
2025-06-01T21:07:56.9665770Z Retrieving notices: ...working... done
2025-06-01T21:08:06.8245320Z Source:      /Users/ec2-user/runner/_work/_temp/conda-python-3.12.7
2025-06-01T21:08:06.8245810Z Destination: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:06.8246190Z Packages: 20
2025-06-01T21:08:06.8246340Z Files: 21837
2025-06-01T21:08:07.1563910Z Preparing transaction: ...working... done
2025-06-01T21:08:09.5879360Z Verifying transaction: ...working... done
2025-06-01T21:08:12.1358890Z Executing transaction: ...working... done
2025-06-01T21:08:12.2129750Z + set +e
2025-06-01T21:08:12.2138020Z ++ /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda package -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 -u
2025-06-01T21:08:12.2139010Z ++ grep -v '^#'
2025-06-01T21:08:12.2139180Z ++ wc -l
2025-06-01T21:08:12.2139810Z ++ xargs
2025-06-01T21:08:12.8841130Z + UNTRACKED_FILES_COUNT=21837
2025-06-01T21:08:12.8842030Z + set -e
2025-06-01T21:08:12.8842190Z + [[ -z 21837 ]]
2025-06-01T21:08:12.8842360Z + [[ 21837 == \0 ]]
2025-06-01T21:08:12.8842650Z + echo CONDA_ENV=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:12.8849120Z + echo CONDA_PREFIX=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:12.8858780Z + echo 'CONDA_RUN=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output'
2025-06-01T21:08:12.8868210Z + echo 'CONDA_INSTALL=/Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894'
2025-06-01T21:08:12.8901890Z ##[group]Run CONDA_RUNTIME=$(which conda)
2025-06-01T21:08:12.8902160Z CONDA_RUNTIME=$(which conda)
2025-06-01T21:08:12.8902340Z 
2025-06-01T21:08:12.8902480Z set -euxo pipefail
2025-06-01T21:08:12.8902720Z "${CONDA_RUNTIME}" config --set channel_priority false
2025-06-01T21:08:12.8921960Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:08:12.8922190Z env:
2025-06-01T21:08:12.8922320Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:08:12.8922510Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:08:12.8922700Z   TEST_CONFIG: default
2025-06-01T21:08:12.8922850Z   SHARD_NUMBER: 1
2025-06-01T21:08:12.8923020Z   NUM_TEST_SHARDS: 3
2025-06-01T21:08:12.8923160Z   PR_BODY: 
2025-06-01T21:08:12.8923760Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T21:08:12.8924440Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:08:12.8924780Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:12.8925140Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:12.8925710Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T21:08:12.8926440Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:12.8927050Z ##[endgroup]
2025-06-01T21:08:12.9181690Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda config --set channel_priority false
2025-06-01T21:08:13.0910050Z ##[group]Run .github/scripts/parse_ref.py
2025-06-01T21:08:13.0910290Z .github/scripts/parse_ref.py
2025-06-01T21:08:13.0929220Z shell: /bin/bash -e -l {0}
2025-06-01T21:08:13.0929390Z env:
2025-06-01T21:08:13.0929520Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:08:13.0929710Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:08:13.0929890Z   TEST_CONFIG: default
2025-06-01T21:08:13.0930080Z   SHARD_NUMBER: 1
2025-06-01T21:08:13.0930220Z   NUM_TEST_SHARDS: 3
2025-06-01T21:08:13.0930360Z   PR_BODY: 
2025-06-01T21:08:13.0930940Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T21:08:13.0931640Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:08:13.0931980Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:13.0932370Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:13.0932910Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T21:08:13.0933640Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:13.0934090Z ##[endgroup]
2025-06-01T21:08:13.8182050Z Prepare all required actions
2025-06-01T21:08:13.8182330Z Getting action download info
2025-06-01T21:08:13.9081750Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-06-01T21:08:14.1158430Z ##[group]Run ./.github/actions/filter-test-configs
2025-06-01T21:08:14.1158730Z with:
2025-06-01T21:08:14.1159400Z   github-token: ***
2025-06-01T21:08:14.1160320Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-13"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-06-01T21:08:14.1161360Z   job-name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-06-01T21:08:14.1161610Z env:
2025-06-01T21:08:14.1161730Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:08:14.1161920Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:08:14.1162100Z   TEST_CONFIG: default
2025-06-01T21:08:14.1162270Z   SHARD_NUMBER: 1
2025-06-01T21:08:14.1162410Z   NUM_TEST_SHARDS: 3
2025-06-01T21:08:14.1187640Z   PR_BODY: 
2025-06-01T21:08:14.1188230Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T21:08:14.1188890Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:08:14.1189200Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:14.1189550Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:14.1190090Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T21:08:14.1190800Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:14.1191380Z ##[endgroup]
2025-06-01T21:08:14.1213570Z ##[group]Run nick-fields/retry@v3.0.0
2025-06-01T21:08:14.1213740Z with:
2025-06-01T21:08:14.1213850Z   shell: bash
2025-06-01T21:08:14.1213980Z   timeout_minutes: 10
2025-06-01T21:08:14.1214120Z   max_attempts: 5
2025-06-01T21:08:14.1214250Z   retry_wait_seconds: 30
2025-06-01T21:08:14.1214710Z   command: set -eux
# PyYAML 6.0 doesn't work with MacOS x86 anymore
# This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2
python3 -m pip install requests==2.27.1 pyyaml==6.0.1

2025-06-01T21:08:14.1215190Z   polling_interval_seconds: 1
2025-06-01T21:08:14.1215350Z   warning_on_retry: true
2025-06-01T21:08:14.1215500Z   continue_on_error: false
2025-06-01T21:08:14.1215650Z env:
2025-06-01T21:08:14.1215760Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:08:14.1215950Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:08:14.1216130Z   TEST_CONFIG: default
2025-06-01T21:08:14.1216330Z   SHARD_NUMBER: 1
2025-06-01T21:08:14.1216480Z   NUM_TEST_SHARDS: 3
2025-06-01T21:08:14.1216640Z   PR_BODY: 
2025-06-01T21:08:14.1217210Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T21:08:14.1217910Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:08:14.1218250Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:14.1218630Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:14.1219490Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T21:08:14.1220240Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:14.1220820Z   GITHUB_TOKEN: ***
2025-06-01T21:08:14.1220970Z ##[endgroup]
2025-06-01T21:08:14.1960900Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.1
2025-06-01T21:08:14.4828030Z Requirement already satisfied: requests==2.27.1 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (2.27.1)
2025-06-01T21:08:14.4828760Z Requirement already satisfied: pyyaml==6.0.1 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (6.0.1)
2025-06-01T21:08:14.4845800Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (from requests==2.27.1) (1.26.20)
2025-06-01T21:08:14.4847870Z Requirement already satisfied: certifi>=2017.4.17 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (from requests==2.27.1) (2024.7.4)
2025-06-01T21:08:14.4851060Z Requirement already satisfied: charset-normalizer~=2.0.0 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (from requests==2.27.1) (2.0.12)
2025-06-01T21:08:14.4853890Z Requirement already satisfied: idna<4,>=2.5 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (from requests==2.27.1) (3.7)
2025-06-01T21:08:15.1981290Z Command completed after 1 attempt(s).
2025-06-01T21:08:15.2129910Z ##[group]Run set -x
2025-06-01T21:08:15.2130690Z set -x
2025-06-01T21:08:15.2131340Z 
2025-06-01T21:08:15.2132400Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-06-01T21:08:15.2133670Z # in runner workspace
2025-06-01T21:08:15.2135490Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-06-01T21:08:15.2211970Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:08:15.2212800Z env:
2025-06-01T21:08:15.2213240Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:08:15.2213780Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:08:15.2214370Z   TEST_CONFIG: default
2025-06-01T21:08:15.2215340Z   SHARD_NUMBER: 1
2025-06-01T21:08:15.2215790Z   NUM_TEST_SHARDS: 3
2025-06-01T21:08:15.2216200Z   PR_BODY: 
2025-06-01T21:08:15.2217890Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T21:08:15.2220080Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:08:15.2221140Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.2222170Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.2223740Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T21:08:15.2225900Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.2227220Z ##[endgroup]
2025-06-01T21:08:15.2721290Z + python3 /Users/ec2-user/runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-06-01T21:08:15.2936890Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-06-01T21:08:15.2937200Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-06-01T21:08:15.2937450Z echo "Job name: ${JOB_NAME}"
2025-06-01T21:08:15.2937650Z 
2025-06-01T21:08:15.2937940Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-06-01T21:08:15.2938270Z # in runner workspace
2025-06-01T21:08:15.2938590Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-06-01T21:08:15.2939190Z   --workflow "${GITHUB_WORKFLOW}" \
2025-06-01T21:08:15.2939460Z   --job-name "${JOB_NAME}" \
2025-06-01T21:08:15.2940530Z   --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-13"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}" \
2025-06-01T21:08:15.2941640Z   --selected-test-configs "" \
2025-06-01T21:08:15.2941880Z   --pr-number "${PR_NUMBER}" \
2025-06-01T21:08:15.2942110Z   --tag "${TAG}" \
2025-06-01T21:08:15.2942320Z   --event-name "${EVENT_NAME}" \
2025-06-01T21:08:15.2942570Z   --schedule "${SCHEDULE}" \
2025-06-01T21:08:15.2942780Z   --branch "${HEAD_BRANCH}"
2025-06-01T21:08:15.2961710Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:08:15.2961950Z env:
2025-06-01T21:08:15.2962080Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:08:15.2962280Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:08:15.2962470Z   TEST_CONFIG: default
2025-06-01T21:08:15.2962640Z   SHARD_NUMBER: 1
2025-06-01T21:08:15.2962780Z   NUM_TEST_SHARDS: 3
2025-06-01T21:08:15.2962930Z   PR_BODY: 
2025-06-01T21:08:15.2963530Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T21:08:15.2964250Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:08:15.2964600Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.2965020Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.2965590Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T21:08:15.2966490Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.2967350Z   GITHUB_TOKEN: ***
2025-06-01T21:08:15.2967580Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-06-01T21:08:15.2967840Z   PR_NUMBER: 
2025-06-01T21:08:15.2967980Z   TAG: 
2025-06-01T21:08:15.2968100Z   EVENT_NAME: push
2025-06-01T21:08:15.2968250Z   SCHEDULE: 
2025-06-01T21:08:15.2968380Z   HEAD_BRANCH: 
2025-06-01T21:08:15.2968530Z ##[endgroup]
2025-06-01T21:08:15.3209110Z Workflow: trunk
2025-06-01T21:08:15.3209440Z Job name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-06-01T21:08:15.6219180Z ##[group]Run echo "Filtered matrix:"
2025-06-01T21:08:15.6219430Z echo "Filtered matrix:"
2025-06-01T21:08:15.6220380Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-13"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}"
2025-06-01T21:08:15.6221360Z 
2025-06-01T21:08:15.6221480Z echo
2025-06-01T21:08:15.6221670Z echo "Is the current job unstable? False"
2025-06-01T21:08:15.6221900Z 
2025-06-01T21:08:15.6222030Z echo
2025-06-01T21:08:15.6222200Z echo "Is keep-going label set? False"
2025-06-01T21:08:15.6222400Z 
2025-06-01T21:08:15.6222550Z echo
2025-06-01T21:08:15.6222890Z echo "Renabled issues? "
2025-06-01T21:08:15.6242140Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:08:15.6242380Z env:
2025-06-01T21:08:15.6242510Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:08:15.6242710Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:08:15.6242900Z   TEST_CONFIG: default
2025-06-01T21:08:15.6243060Z   SHARD_NUMBER: 1
2025-06-01T21:08:15.6243200Z   NUM_TEST_SHARDS: 3
2025-06-01T21:08:15.6243350Z   PR_BODY: 
2025-06-01T21:08:15.6243980Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T21:08:15.6244690Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:08:15.6245040Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.6245430Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.6246010Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T21:08:15.6246780Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.6247280Z ##[endgroup]
2025-06-01T21:08:15.6488610Z Filtered matrix:
2025-06-01T21:08:15.6489620Z {include: [{config: default, shard: 1, num_shards: 3, runner: macos-m1-stable}, {config: default, shard: 2, num_shards: 3, runner: macos-m1-stable}, {config: default, shard: 3, num_shards: 3, runner: macos-m1-stable}, {config: mps, shard: 1, num_shards: 1, runner: macos-m1-13}, {config: mps, shard: 1, num_shards: 1, runner: macos-m1-14}, {config: mps, shard: 1, num_shards: 1, runner: macos-m2-15}]}
2025-06-01T21:08:15.6490540Z 
2025-06-01T21:08:15.6490610Z Is the current job unstable? False
2025-06-01T21:08:15.6490770Z 
2025-06-01T21:08:15.6490870Z Is keep-going label set? False
2025-06-01T21:08:15.6491010Z 
2025-06-01T21:08:15.6491060Z Renabled issues? 
2025-06-01T21:08:15.6523330Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-06-01T21:08:15.6523820Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-06-01T21:08:15.6542260Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T21:08:15.6542480Z env:
2025-06-01T21:08:15.6542620Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:08:15.6542800Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:08:15.6542980Z   TEST_CONFIG: default
2025-06-01T21:08:15.6543140Z   SHARD_NUMBER: 1
2025-06-01T21:08:15.6543280Z   NUM_TEST_SHARDS: 3
2025-06-01T21:08:15.6543430Z   PR_BODY: 
2025-06-01T21:08:15.6544000Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T21:08:15.6544700Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:08:15.6545100Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.6545480Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.6546030Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T21:08:15.6546770Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.6547220Z   JOB_TIMEOUT: 270
2025-06-01T21:08:15.6547370Z ##[endgroup]
2025-06-01T21:08:15.6845630Z ##[group]Run # shellcheck disable=SC1090
2025-06-01T21:08:15.6845910Z # shellcheck disable=SC1090
2025-06-01T21:08:15.6846090Z set -ex
2025-06-01T21:08:15.6846230Z 
2025-06-01T21:08:15.6846350Z arch
2025-06-01T21:08:15.6846490Z 
2025-06-01T21:08:15.6846620Z if [[ -n "$CONDA_ENV" ]]; then
2025-06-01T21:08:15.6846850Z   # Use binaries under conda environment
2025-06-01T21:08:15.6847100Z   export PATH="$CONDA_ENV/bin":$PATH
2025-06-01T21:08:15.6847300Z fi
2025-06-01T21:08:15.6847420Z 
2025-06-01T21:08:15.6847610Z # Print out some information about the test environment
2025-06-01T21:08:15.6847850Z which conda
2025-06-01T21:08:15.6848020Z conda --version
2025-06-01T21:08:15.6848210Z ${CONDA_RUN} which python3
2025-06-01T21:08:15.6848410Z ${CONDA_RUN} python3 --version
2025-06-01T21:08:15.6848660Z ${CONDA_RUN} which python
2025-06-01T21:08:15.6848850Z ${CONDA_RUN} python --version
2025-06-01T21:08:15.6849020Z 
2025-06-01T21:08:15.6849240Z ${CONDA_RUN} python3 -mpip install --no-index --no-deps dist/*.whl
2025-06-01T21:08:15.6849490Z 
2025-06-01T21:08:15.6849620Z set +e
2025-06-01T21:08:15.6849760Z pushd "${RUNNER_TEMP}"
2025-06-01T21:08:15.6850060Z # Install pip dependencies if they are not found. This is to mitigate a peculiar
2025-06-01T21:08:15.6850380Z # flaky missing dependencies on MacOS
2025-06-01T21:08:15.6850630Z ${CONDA_RUN} python3 -c "import torch"
2025-06-01T21:08:15.6850820Z RC=$?
2025-06-01T21:08:15.6850980Z popd
2025-06-01T21:08:15.6851110Z 
2025-06-01T21:08:15.6851240Z if [ "${RC}" -ne 0 ]; then
2025-06-01T21:08:15.6851550Z   ${CONDA_RUN} python3 -mpip install --ignore-installed -r "${PIP_REQUIREMENTS_FILE}"
2025-06-01T21:08:15.6851840Z fi
2025-06-01T21:08:15.6851980Z set -e
2025-06-01T21:08:15.6852100Z 
2025-06-01T21:08:15.6852270Z ${CONDA_RUN} .ci/pytorch/macos-test.sh
2025-06-01T21:08:15.6871500Z shell: /bin/bash -e -l {0}
2025-06-01T21:08:15.6871670Z env:
2025-06-01T21:08:15.6871840Z   GIT_DEFAULT_BRANCH: main
2025-06-01T21:08:15.6872010Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T21:08:15.6872210Z   TEST_CONFIG: default
2025-06-01T21:08:15.6872350Z   SHARD_NUMBER: 1
2025-06-01T21:08:15.6872630Z   NUM_TEST_SHARDS: 3
2025-06-01T21:08:15.6872780Z   PR_BODY: 
2025-06-01T21:08:15.6873350Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T21:08:15.6874040Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T21:08:15.6874370Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.6874750Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.6875310Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T21:08:15.6876050Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:15.6876520Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-06-01T21:08:15.6876730Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-06-01T21:08:15.6876930Z   CONTINUE_THROUGH_ERROR: False
2025-06-01T21:08:15.6877110Z   VERBOSE_TEST_LOGS: False
2025-06-01T21:08:15.6877270Z   TEST_SHOWLOCALS: False
2025-06-01T21:08:15.6877440Z   NO_TEST_TIMEOUT: False
2025-06-01T21:08:15.6877590Z   NO_TD: False
2025-06-01T21:08:15.6877830Z   PIP_REQUIREMENTS_FILE: .github/requirements/pip-requirements-macOS.txt
2025-06-01T21:08:15.6878320Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-06-01T21:08:15.6878550Z   GITHUB_WORKFLOW: trunk
2025-06-01T21:08:15.6878700Z   GITHUB_JOB: test
2025-06-01T21:08:15.6878850Z   GITHUB_RUN_ID: 15379340894
2025-06-01T21:08:15.6879020Z   GITHUB_RUN_NUMBER: 129555
2025-06-01T21:08:15.6879180Z   GITHUB_RUN_ATTEMPT: 1
2025-06-01T21:08:15.6879330Z   JOB_ID: 43268262760
2025-06-01T21:08:15.6879550Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-06-01T21:08:15.6879790Z   REENABLED_ISSUES: 
2025-06-01T21:08:15.6880150Z   HUGGING_FACE_HUB_TOKEN: ***
2025-06-01T21:08:15.6880330Z ##[endgroup]
2025-06-01T21:08:16.0730790Z + arch
2025-06-01T21:08:16.0777930Z + [[ -n /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 ]]
2025-06-01T21:08:16.0779910Z + export PATH=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin
2025-06-01T21:08:16.0783150Z + PATH=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin
2025-06-01T21:08:16.0784810Z + which conda
2025-06-01T21:08:16.0789240Z arm64/opt/homebrew/Caskroom/miniconda/base/bin/conda
2025-06-01T21:08:16.0790100Z + conda --version
2025-06-01T21:08:16.0790350Z + local cmd=--version
2025-06-01T21:08:16.0790520Z + case "$cmd" in
2025-06-01T21:08:16.0790700Z + __conda_exe --version
2025-06-01T21:08:16.0793620Z + /opt/homebrew/Caskroom/miniconda/base/bin/conda --version
2025-06-01T21:08:16.2490950Z conda 24.11.3
2025-06-01T21:08:16.2673810Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output which python3
2025-06-01T21:08:16.9379700Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python3
2025-06-01T21:08:16.9582550Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output python3 --version
2025-06-01T21:08:17.8092330Z Python 3.12.7
2025-06-01T21:08:17.8538860Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output which python
2025-06-01T21:08:18.5226690Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python
2025-06-01T21:08:18.5432070Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output python --version
2025-06-01T21:08:19.2186350Z Python 3.12.7
2025-06-01T21:08:19.2401380Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output python3 -mpip install --no-index --no-deps dist/torch-2.8.0a0+gitf7c09f8-cp312-cp312-macosx_11_0_arm64.whl
2025-06-01T21:08:21.5778550Z Processing ./dist/torch-2.8.0a0+gitf7c09f8-cp312-cp312-macosx_11_0_arm64.whl
2025-06-01T21:08:21.6546660Z Installing collected packages: torch
2025-06-01T21:08:28.8249330Z Successfully installed torch-2.8.0a0+gitf7c09f8
2025-06-01T21:08:28.8751390Z + set +e
2025-06-01T21:08:28.8752170Z + pushd /Users/ec2-user/runner/_work/_temp
2025-06-01T21:08:28.8752460Z ~/runner/_work/_temp ~/runner/_work/pytorch/pytorch
2025-06-01T21:08:28.8753080Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output python3 -c 'import torch'
2025-06-01T21:08:33.6462010Z + RC=0
2025-06-01T21:08:33.6462250Z + popd
2025-06-01T21:08:33.6462390Z + '[' 0 -ne 0 ']'
2025-06-01T21:08:33.6462560Z + set -e
2025-06-01T21:08:33.6462720Z ~/runner/_work/pytorch/pytorch
2025-06-01T21:08:33.6463300Z + /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output .ci/pytorch/macos-test.sh
2025-06-01T21:08:34.3397980Z ++ dirname .ci/pytorch/macos-test.sh
2025-06-01T21:08:34.3427650Z + source .ci/pytorch/macos-common.sh
2025-06-01T21:08:34.3437180Z +++ dirname .ci/pytorch/macos-common.sh
2025-06-01T21:08:34.3449870Z ++ source .ci/pytorch/common.sh
2025-06-01T21:08:34.3465630Z ++++ dirname .ci/pytorch/common.sh
2025-06-01T21:08:34.3477360Z +++ source .ci/pytorch/common_utils.sh
2025-06-01T21:08:34.3505180Z ++++ declare -f -t trap_add
2025-06-01T21:08:34.3508100Z +++ set -ex -o pipefail
2025-06-01T21:08:34.3508320Z +++ [[ macos-py3-arm64 == *rocm* ]]
2025-06-01T21:08:34.3508530Z +++ BUILD_TEST_LIBTORCH=0
2025-06-01T21:08:34.3511000Z ++ sysctl -a
2025-06-01T21:08:34.3511990Z ++ grep machdep.cpu
2025-06-01T21:08:34.3653950Z machdep.cpu.cores_per_package: 8
2025-06-01T21:08:34.3654200Z machdep.cpu.core_count: 8
2025-06-01T21:08:34.3654410Z machdep.cpu.logical_per_package: 8
2025-06-01T21:08:34.3654620Z machdep.cpu.thread_count: 8
2025-06-01T21:08:34.3654820Z machdep.cpu.brand_string: Apple M1
2025-06-01T21:08:34.3655330Z ++ export MACOSX_DEPLOYMENT_TARGET=11.1
2025-06-01T21:08:34.3655610Z ++ MACOSX_DEPLOYMENT_TARGET=11.1
2025-06-01T21:08:34.3655820Z ++ export CXX=clang++
2025-06-01T21:08:34.3656010Z ++ CXX=clang++
2025-06-01T21:08:34.3656160Z ++ export CC=clang
2025-06-01T21:08:34.3656330Z ++ CC=clang
2025-06-01T21:08:34.3656580Z + [[ -n /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 ]]
2025-06-01T21:08:34.3658640Z + export PATH=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin:/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin:/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin
2025-06-01T21:08:34.3662620Z + PATH=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin:/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin:/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin
2025-06-01T21:08:34.3664540Z + pushd test
2025-06-01T21:08:34.3664770Z ~/runner/_work/pytorch/pytorch/test ~/runner/_work/pytorch/pytorch
2025-06-01T21:08:34.3665160Z ++ python -c 'import torch; print(int(torch.backends.openmp.is_available()))'
2025-06-01T21:08:35.1340170Z + [[ ! 1 == \1 ]]
2025-06-01T21:08:35.1340390Z + popd
2025-06-01T21:08:35.1340550Z + export TORCH_SERIALIZATION_DEBUG=1
2025-06-01T21:08:35.1341110Z + TORCH_SERIALIZATION_DEBUG=1
2025-06-01T21:08:35.1341330Z ~/runner/_work/pytorch/pytorch
2025-06-01T21:08:35.1344660Z + install_tlparse
2025-06-01T21:08:35.1344940Z + pip_install --user tlparse==0.3.30
2025-06-01T21:08:35.1345310Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-06-01T21:08:35.4207750Z + python3 -m pip install --progress-bar off --user tlparse==0.3.30
2025-06-01T21:08:35.4208050Z Collecting tlparse==0.3.30
2025-06-01T21:08:35.4208960Z   Obtaining dependency information for tlparse==0.3.30 from https://files.pythonhosted.org/packages/ea/c4/5cb4890c2e736aef1adee72e5222d14405e6d54a82346d6088d6aa18ee7a/tlparse-0.3.30-py3-none-macosx_11_0_arm64.whl.metadata
2025-06-01T21:08:35.4230220Z   Using cached tlparse-0.3.30-py3-none-macosx_11_0_arm64.whl.metadata (1.9 kB)
2025-06-01T21:08:35.4370170Z Using cached tlparse-0.3.30-py3-none-macosx_11_0_arm64.whl (2.0 MB)
2025-06-01T21:08:35.7480010Z Installing collected packages: tlparse
2025-06-01T21:08:35.7740580Z Successfully installed tlparse-0.3.30
2025-06-01T21:08:35.9203120Z ++ python -m site --user-base
2025-06-01T21:08:35.9306040Z + PATH=/Users/ec2-user/.local/bin:/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin:/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin:/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin
2025-06-01T21:08:35.9308090Z + [[ default == *\p\e\r\f\_\a\l\l* ]]
2025-06-01T21:08:35.9308310Z + [[ default == *\p\e\r\f\_\t\o\r\c\h\b\e\n\c\h* ]]
2025-06-01T21:08:35.9308530Z + [[ default == *\p\e\r\f\_\h\f* ]]
2025-06-01T21:08:35.9308720Z + [[ default == *\p\e\r\f\_\t\i\m\m* ]]
2025-06-01T21:08:35.9308930Z + [[ default == *\p\e\r\f\_\s\m\o\k\e\t\e\s\t* ]]
2025-06-01T21:08:35.9309150Z + [[ default == *\m\p\s* ]]
2025-06-01T21:08:35.9309300Z + [[ 3 -gt 1 ]]
2025-06-01T21:08:35.9309460Z + test_python_shard 1
2025-06-01T21:08:35.9309600Z + [[ -z 3 ]]
2025-06-01T21:08:35.9309750Z + setup_test_python
2025-06-01T21:08:35.9309890Z + export GLOO_SOCKET_IFNAME=lo0
2025-06-01T21:08:35.9310090Z + GLOO_SOCKET_IFNAME=lo0
2025-06-01T21:08:35.9310530Z ++ ninja --version
2025-06-01T21:08:36.0805250Z + echo 'Ninja version: 1.10.2.git.kitware.jobserver-1'
2025-06-01T21:08:36.0805560Z Ninja version: 1.10.2.git.kitware.jobserver-1
2025-06-01T21:08:36.0808650Z ++ which python
2025-06-01T21:08:36.0822120Z ++ python --version
2025-06-01T21:08:36.0859880Z + echo 'Python version: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python (Python 3.12.7)'
2025-06-01T21:08:36.0860780Z Python version: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python (Python 3.12.7)
2025-06-01T21:08:36.0861370Z + ulimit -n 16384
2025-06-01T21:08:36.0864340Z + python test/run_test.py --verbose --exclude-jit-executor --exclude-distributed-tests --shard 1 3
2025-06-01T21:08:36.1647700Z /Users/ec2-user/runner/_work/pytorch/pytorch/test/run_test.py:24: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
2025-06-01T21:08:36.1648340Z   import pkg_resources
2025-06-01T21:08:40.0394070Z Found test times from artifacts
2025-06-01T21:08:40.0859410Z Found test times from artifacts
2025-06-01T21:08:40.0876440Z Running all tests
2025-06-01T21:08:40.1059770Z Running parallel tests on 3 processes
2025-06-01T21:08:40.1065120Z Name: tests to run (est. time: 57.09min)
2025-06-01T21:08:40.1065330Z   Serial tests (47):
2025-06-01T21:08:40.1065540Z     test_ci_sanity_check_fail 1/1
2025-06-01T21:08:40.1065750Z     test_openreg 1/1
2025-06-01T21:08:40.1065920Z     inductor/test_cutlass_backend 1/1
2025-06-01T21:08:40.1066380Z     test_transformers_privateuse1 1/1
2025-06-01T21:08:40.1066600Z     inductor/test_flex_attention 1/1
2025-06-01T21:08:40.1066780Z     test_extension_utils 1/1
2025-06-01T21:08:40.1066950Z     test_cpp_api_parity 1/1
2025-06-01T21:08:40.1067170Z     test_cpp_extensions_open_device_registration 1/1
2025-06-01T21:08:40.1067410Z     test_fx 1/1
2025-06-01T21:08:40.1067590Z     test_dispatch 1/1
2025-06-01T21:08:40.1067770Z     inductor/test_benchmark_fusion 1/1
2025-06-01T21:08:40.1068030Z     test_tensorexpr 1/1
2025-06-01T21:08:40.1068180Z     test_show_pickle 1/1
2025-06-01T21:08:40.1068360Z     test_fake_tensor 1/1
2025-06-01T21:08:40.1068530Z     test_cuda_trace 1/1
2025-06-01T21:08:40.1068690Z     test_utils 1/1
2025-06-01T21:08:40.1068840Z     test_multiprocessing 1/1
2025-06-01T21:08:40.1069030Z     test_tensor_creation_ops 1/1
2025-06-01T21:08:40.1069220Z     test_cuda_nvml_based_avail 1/1
2025-06-01T21:08:40.1069420Z     inductor/test_max_autotune 1/1
2025-06-01T21:08:40.1069630Z     test_python_dispatch 1/1
2025-06-01T21:08:40.1069820Z     test_cpp_extensions_mtia_backend 1/1
2025-06-01T21:08:40.1070090Z     test_cpp_extensions_stream_and_event 1/1
2025-06-01T21:08:40.1070310Z     test_autograd_fallback 1/1
2025-06-01T21:08:40.1070500Z     test_namedtuple_return_api 1/1
2025-06-01T21:08:40.1070690Z     test_sort_and_select 1/1
2025-06-01T21:08:40.1070880Z     test_jit_disabled 1/1
2025-06-01T21:08:40.1071060Z     inductor/test_distributed_patterns 1/1
2025-06-01T21:08:40.1071270Z     test_autocast 1/1
2025-06-01T21:08:40.1071440Z     test_native_mha 1/1
2025-06-01T21:08:40.1071590Z     test_nn 1/1
2025-06-01T21:08:40.1071750Z     test_cuda_primary_ctx 1/1
2025-06-01T21:08:40.1071930Z     distributions/test_distributions 1/1
2025-06-01T21:08:40.1072140Z     test_cpp_extensions_jit 1/1
2025-06-01T21:08:40.1072330Z     nn/test_pooling 1/1
2025-06-01T21:08:40.1072500Z     test_torch 1/1
2025-06-01T21:08:40.1072650Z     test_spectral_ops 1/1
2025-06-01T21:08:40.1072820Z     nn/test_convolution 1/1
2025-06-01T21:08:40.1073000Z     test_reductions 1/1
2025-06-01T21:08:40.1073170Z     test_mobile_optimizer 1/1
2025-06-01T21:08:40.1073370Z     test_multiprocessing_spawn 1/1
2025-06-01T21:08:40.1073560Z     test_overrides 1/1
2025-06-01T21:08:40.1073720Z     doctests 1/1
2025-06-01T21:08:40.1073880Z     test_autoload_disable 1/1
2025-06-01T21:08:40.1074110Z     test_autoload_enable 1/1
2025-06-01T21:08:40.1074290Z     test_cpp_extensions_aot_ninja 1/1
2025-06-01T21:08:40.1074670Z     test_cpp_extensions_aot_no_ninja 1/1
2025-06-01T21:08:40.1074880Z   Parallel tests (113):
2025-06-01T21:08:40.1075080Z     inductor/test_torchinductor_strided_blocks 1/1
2025-06-01T21:08:40.1075330Z     inductor/test_kernel_benchmark 1/1
2025-06-01T21:08:40.1075530Z     inductor/test_inductor_utils 1/1
2025-06-01T21:08:40.1075740Z     inductor/test_extension_backend 1/1
2025-06-01T21:08:40.1075950Z     inductor/test_move_constructors_to_cuda 1/1
2025-06-01T21:08:40.1076180Z     inductor/test_triton_wrapper 1/1
2025-06-01T21:08:40.1076390Z     inductor/test_torchinductor_opinfo 5/13
2025-06-01T21:08:40.1076650Z     inductor/test_torchinductor_opinfo 12/13
2025-06-01T21:08:40.1076880Z     inductor/test_torchinductor_opinfo 13/13
2025-06-01T21:08:40.1077110Z     inductor/test_compiled_optimizers 1/1
2025-06-01T21:08:40.1077320Z     functorch/test_ops 2/2
2025-06-01T21:08:40.1077510Z     inductor/test_cuda_repro 1/1
2025-06-01T21:08:40.1077720Z     inductor/test_cpu_cpp_wrapper 1/1
2025-06-01T21:08:40.1077910Z     export/test_tools 1/1
2025-06-01T21:08:40.1078100Z     inductor/test_triton_heuristics 1/1
2025-06-01T21:08:40.1078300Z     functorch/test_minifier 1/1
2025-06-01T21:08:40.1078490Z     test_jit_fuser_te 1/1
2025-06-01T21:08:40.1078650Z     dynamo/test_compile 1/1
2025-06-01T21:08:40.1078840Z     test_meta 1/2
2025-06-01T21:08:40.1078990Z     test_meta 2/2
2025-06-01T21:08:40.1079140Z     inductor/test_minifier 1/1
2025-06-01T21:08:40.1079320Z     export/test_schema 1/1
2025-06-01T21:08:40.1079630Z     dynamo/test_comptime 1/1
2025-06-01T21:08:40.1079810Z     inductor/test_fuzzer 1/1
2025-06-01T21:08:40.1079990Z     inductor/test_group_batch_fusion 1/1
2025-06-01T21:08:40.1080190Z     backends/xeon/test_launch 1/1
2025-06-01T21:08:40.1080400Z     torch_np/numpy_tests/core/test_einsum 1/1
2025-06-01T21:08:40.1080610Z     inductor/test_codegen_triton 1/1
2025-06-01T21:08:40.1080800Z     export/test_passes 1/1
2025-06-01T21:08:40.1081010Z     test_openmp 1/1
2025-06-01T21:08:40.1081160Z     test_module_tracker 1/1
2025-06-01T21:08:40.1081350Z     inductor/test_block_analysis 1/1
2025-06-01T21:08:40.1081530Z     export/test_db 1/1
2025-06-01T21:08:40.1081700Z     dynamo/test_config 1/1
2025-06-01T21:08:40.1081870Z     inductor/test_inplace_padding 1/1
2025-06-01T21:08:40.1082090Z     higher_order_ops/test_invoke_quant 1/1
2025-06-01T21:08:40.1082290Z     test_compile_benchmark_util 1/1
2025-06-01T21:08:40.1082470Z     test_jit 1/1
2025-06-01T21:08:40.1082630Z     dynamo/test_repros 1/1
2025-06-01T21:08:40.1082850Z     inductor/test_torchinductor_codegen_dynamic_shapes 1/1
2025-06-01T21:08:40.1083100Z     test_cuda_expandable_segments 1/1
2025-06-01T21:08:40.1083280Z     inductor/test_aot_inductor_utils 1/1
2025-06-01T21:08:40.1083480Z     inductor/test_select_algorithm 1/1
2025-06-01T21:08:40.1083670Z     inductor/test_binary_folding 1/1
2025-06-01T21:08:40.1083840Z     test_hub 1/1
2025-06-01T21:08:40.1084020Z     inductor/test_cudagraph_trees_expandable_segments 1/1
2025-06-01T21:08:40.1084240Z     xpu/test_gemm 1/1
2025-06-01T21:08:40.1084420Z     functorch/test_eager_transforms 1/1
2025-06-01T21:08:40.1084620Z     inductor/test_memory 1/1
2025-06-01T21:08:40.1084810Z     inductor/test_inductor_freezing 1/1
2025-06-01T21:08:40.1085010Z     dynamo/test_export_mutations 1/1
2025-06-01T21:08:40.1085190Z     dynamo/test_modes 1/1
2025-06-01T21:08:40.1085330Z     test_weak 1/1
2025-06-01T21:08:40.1085470Z     inductor/test_async_compile 1/1
2025-06-01T21:08:40.1085650Z     dynamo/test_decorators 1/1
2025-06-01T21:08:40.1085820Z     export/test_unflatten 1/1
2025-06-01T21:08:40.1085970Z     test_subclass 1/1
2025-06-01T21:08:40.1086110Z     test_masked 1/1
2025-06-01T21:08:40.1086270Z     torch_np/numpy_tests/lib/test_function_base 1/1
2025-06-01T21:08:40.1086490Z     higher_order_ops/test_invoke_subgraph 1/1
2025-06-01T21:08:40.1086690Z     lazy/test_step_closures 1/1
2025-06-01T21:08:40.1086850Z     test_content_store 1/1
2025-06-01T21:08:40.1087010Z     inductor/test_torchbind 1/1
2025-06-01T21:08:40.1087250Z     test_out_dtype_op 1/1
2025-06-01T21:08:40.1087390Z     test_modules 1/1
2025-06-01T21:08:40.1087540Z     dynamo/test_model_output 1/1
2025-06-01T21:08:40.1087720Z     torch_np/numpy_tests/core/test_numeric 1/1
2025-06-01T21:08:40.1087920Z     test_numba_integration 1/1
2025-06-01T21:08:40.1088090Z     inductor/test_fused_attention 1/1
2025-06-01T21:08:40.1088270Z     profiler/test_record_function 1/1
2025-06-01T21:08:40.1088450Z     nn/test_lazy_modules 1/1
2025-06-01T21:08:40.1088610Z     test_type_hints 1/1
2025-06-01T21:08:40.1088760Z     dynamo/test_verify_correctness 1/1
2025-06-01T21:08:40.1088940Z     test_matmul_cuda 1/1
2025-06-01T21:08:40.1089100Z     nn/test_parametrization 1/1
2025-06-01T21:08:40.1089280Z     dynamo/test_backward_higher_order_ops 1/1
2025-06-01T21:08:40.1089470Z     test_datapipe 1/1
2025-06-01T21:08:40.1089620Z     inductor/test_unbacked_symints 1/1
2025-06-01T21:08:40.1089800Z     dynamo/test_cudagraphs 1/1
2025-06-01T21:08:40.1089970Z     test_maskedtensor 1/1
2025-06-01T21:08:40.1090110Z     test_monitor 1/1
2025-06-01T21:08:40.1090260Z     inductor/test_auto_functionalize 1/1
2025-06-01T21:08:40.1090430Z     test_decomp 1/4
2025-06-01T21:08:40.1090560Z     test_decomp 3/4
2025-06-01T21:08:40.1090690Z     optim/test_optim 1/1
2025-06-01T21:08:40.1090840Z     dynamo/test_torchrec 1/1
2025-06-01T21:08:40.1090990Z     test_ops 2/3
2025-06-01T21:08:40.1091110Z     test_ops 3/3
2025-06-01T21:08:40.1091240Z     test_serialization 1/1
2025-06-01T21:08:40.1091510Z     dynamo/test_recompile_ux 1/1
2025-06-01T21:08:40.1091710Z     torch_np/numpy_tests/fft/test_pocketfft 1/1
2025-06-01T21:08:40.1091940Z     torch_np/numpy_tests/lib/test_shape_base_ 1/1
2025-06-01T21:08:40.1092130Z     nn/test_init 1/1
2025-06-01T21:08:40.1092260Z     test_mkldnn 1/1
2025-06-01T21:08:40.1092390Z     test_mkldnn_fusion 1/1
2025-06-01T21:08:40.1092560Z     torch_np/numpy_tests/core/test_dlpack 1/1
2025-06-01T21:08:40.1092770Z     test_xnnpack_integration 1/1
2025-06-01T21:08:40.1092940Z     dynamo/test_guard_manager 1/1
2025-06-01T21:08:40.1093130Z     profiler/test_memory_profiler 1/1
2025-06-01T21:08:40.1093330Z     torch_np/numpy_tests/core/test_scalar_ctors 1/1
2025-06-01T21:08:40.1093570Z     torch_np/numpy_tests/core/test_numerictypes 1/1
2025-06-01T21:08:40.1093770Z     test_type_promotion 1/1
2025-06-01T21:08:40.1093930Z     test_function_schema 1/1
2025-06-01T21:08:40.1094090Z     lazy/test_debug_util 1/1
2025-06-01T21:08:40.1094240Z     torch_np/test_reductions 1/1
2025-06-01T21:08:40.1094400Z     test_prims 1/1
2025-06-01T21:08:40.1094550Z     test_functional_autograd_benchmark 1/1
2025-06-01T21:08:40.1094760Z     profiler/test_profiler_tree 1/1
2025-06-01T21:08:40.1094930Z     test_jit_autocast 1/1
2025-06-01T21:08:40.1095090Z     test_quantization 1/1
2025-06-01T21:08:40.1095240Z     lazy/test_bindings 1/1
2025-06-01T21:08:40.1095390Z     inductor/test_fxir_backend 1/1
2025-06-01T21:08:40.1095570Z     inductor/test_subgraph_choice 1/1
2025-06-01T21:08:40.1095750Z Name: excluded (est. time: 0.0min)
2025-06-01T21:08:40.1095930Z   Serial tests (0):
2025-06-01T21:08:40.1096070Z   Parallel tests (0):
2025-06-01T21:08:40.1719750Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /Users/ec2-user/runner/_work/pytorch/pytorch/test/.pytorch-disabled-tests.json
2025-06-01T21:08:40.1720460Z Ignoring disabled issues:  ['']
2025-06-01T21:08:40.1824150Z Running test_ci_sanity_check_fail 1/1 ... [2025-06-01 21:08:40.182225]
2025-06-01T21:08:40.1827490Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:08:40.1833820Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:08:40.183159]
2025-06-01T21:08:48.3096940Z Running test_openreg 1/1 ... [2025-06-01 21:08:48.309568]
2025-06-01T21:08:49.1742880Z running install
2025-06-01T21:08:49.1743940Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-06-01T21:08:49.1744510Z !!
2025-06-01T21:08:49.1744580Z 
2025-06-01T21:08:49.1744670Z         ********************************************************************************
2025-06-01T21:08:49.1744930Z         Please avoid running ``setup.py`` directly.
2025-06-01T21:08:49.1745190Z         Instead, use pypa/build, pypa/installer or other
2025-06-01T21:08:49.1745410Z         standards-based tools.
2025-06-01T21:08:49.1745530Z 
2025-06-01T21:08:49.1745720Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-06-01T21:08:49.1746040Z         ********************************************************************************
2025-06-01T21:08:49.1746190Z 
2025-06-01T21:08:49.1746230Z !!
2025-06-01T21:08:49.1746350Z   self.initialize_options()
2025-06-01T21:08:49.1810500Z running build
2025-06-01T21:08:49.1810760Z running build_py
2025-06-01T21:08:49.1841840Z creating build
2025-06-01T21:08:49.1842470Z creating build/lib.macosx-11.1-arm64-cpython-312
2025-06-01T21:08:49.1843090Z creating build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:08:49.1843890Z copying pytorch_openreg/_device_daemon.py -> build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:08:49.1854320Z copying pytorch_openreg/_meta_parser.py -> build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:08:49.1859970Z copying pytorch_openreg/__init__.py -> build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:08:49.1868180Z copying pytorch_openreg/_aten_impl.py -> build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:08:49.1879050Z running build_ext
2025-06-01T21:08:49.4734810Z building 'pytorch_openreg._C' extension
2025-06-01T21:08:49.4737920Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312
2025-06-01T21:08:49.4740160Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users
2025-06-01T21:08:49.4742440Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user
2025-06-01T21:08:49.4744860Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner
2025-06-01T21:08:49.4747310Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work
2025-06-01T21:08:49.4749850Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch
2025-06-01T21:08:49.4752500Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch
2025-06-01T21:08:49.4755220Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test
2025-06-01T21:08:49.4758180Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions
2025-06-01T21:08:49.4761510Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension
2025-06-01T21:08:49.4765250Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg
2025-06-01T21:08:49.4770050Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc
2025-06-01T21:08:53.2660270Z [1/3] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o -g -Wall -Werror -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -std=c++17
2025-06-01T21:08:54.5447410Z [2/3] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o -g -Wall -Werror -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -std=c++17
2025-06-01T21:08:55.0392390Z [3/3] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o -g -Wall -Werror -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -std=c++17
2025-06-01T21:08:55.0432080Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg/_C.so
2025-06-01T21:08:55.0648640Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:08:55.1082750Z running install_lib
2025-06-01T21:08:55.1120100Z creating install
2025-06-01T21:08:55.1120470Z creating install/Users
2025-06-01T21:08:55.1121130Z creating install/Users/ec2-user
2025-06-01T21:08:55.1121620Z creating install/Users/ec2-user/runner
2025-06-01T21:08:55.1122230Z creating install/Users/ec2-user/runner/_work
2025-06-01T21:08:55.1122780Z creating install/Users/ec2-user/runner/_work/_temp
2025-06-01T21:08:55.1123440Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:08:55.1123970Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib
2025-06-01T21:08:55.1124540Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12
2025-06-01T21:08:55.1125090Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages
2025-06-01T21:08:55.1126210Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg
2025-06-01T21:08:55.1127020Z copying build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg/_C.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg
2025-06-01T21:08:55.1131350Z copying build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg/_device_daemon.py -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg
2025-06-01T21:08:55.1132720Z copying build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg/_meta_parser.py -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg
2025-06-01T21:08:55.1134210Z copying build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg/__init__.py -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg
2025-06-01T21:08:55.1135680Z copying build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg/_aten_impl.py -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg
2025-06-01T21:08:55.1140580Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg/_device_daemon.py to _device_daemon.cpython-312.pyc
2025-06-01T21:08:55.1171830Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg/_meta_parser.py to _meta_parser.cpython-312.pyc
2025-06-01T21:08:55.1178260Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg/__init__.py to __init__.cpython-312.pyc
2025-06-01T21:08:55.1183710Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg/_aten_impl.py to _aten_impl.cpython-312.pyc
2025-06-01T21:08:55.1191710Z running install_egg_info
2025-06-01T21:08:55.1264570Z running egg_info
2025-06-01T21:08:55.1264860Z creating pytorch_openreg.egg-info
2025-06-01T21:08:55.1292940Z writing pytorch_openreg.egg-info/PKG-INFO
2025-06-01T21:08:55.1296760Z writing dependency_links to pytorch_openreg.egg-info/dependency_links.txt
2025-06-01T21:08:55.1298070Z writing requirements to pytorch_openreg.egg-info/requires.txt
2025-06-01T21:08:55.1299010Z writing top-level names to pytorch_openreg.egg-info/top_level.txt
2025-06-01T21:08:55.1300220Z writing manifest file 'pytorch_openreg.egg-info/SOURCES.txt'
2025-06-01T21:08:55.1331990Z reading manifest file 'pytorch_openreg.egg-info/SOURCES.txt'
2025-06-01T21:08:55.1335490Z writing manifest file 'pytorch_openreg.egg-info/SOURCES.txt'
2025-06-01T21:08:55.1336520Z Copying pytorch_openreg.egg-info to ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg-1.0-py3.12.egg-info
2025-06-01T21:08:55.1351840Z running install_scripts
2025-06-01T21:08:55.3610530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:08:55.3614270Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_openreg.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:08:55.361317]
2025-06-01T21:08:59.2553720Z 
2025-06-01T21:08:59.2554280Z test_openreg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openreg_1.1_d43593dcad4bd2d9_.log
2025-06-01T21:08:59.2561690Z Running 20 items in this shard: test/test_openreg.py::TestOpenReg::test_autograd_init, test/test_openreg.py::TestOpenReg::test_copy_same_device, test/test_openreg.py::TestOpenReg::test_cross_device_copy, test/test_openreg.py::TestOpenReg::test_cross_diff_devices_copy, test/test_openreg.py::TestOpenReg::test_data_dependent_output, test/test_openreg.py::TestOpenReg::test_empty_tensor, test/test_openreg.py::TestOpenReg::test_event_elapsed_time, test/test_openreg.py::TestOpenReg::test_event_wait_stream, test/test_openreg.py::TestOpenReg::test_expand, test/test_openreg.py::TestOpenReg::test_factory, test/test_openreg.py::TestOpenReg::test_generator, test/test_openreg.py::TestOpenReg::test_initializes, test/test_openreg.py::TestOpenReg::test_pin_memory, test/test_openreg.py::TestOpenReg::test_printing, test/test_openreg.py::TestOpenReg::test_record_event, test/test_openreg.py::TestOpenReg::test_rewrapped_storage, test/test_openreg.py::TestOpenReg::test_rng_state, test/test_openreg.py::TestOpenReg::test_stream_synchronize, test/test_openreg.py::TestOpenReg::test_stream_wait_event, test/test_openreg.py::TestOpenReg::test_stream_wait_stream
2025-06-01T21:08:59.2564790Z 
2025-06-01T21:08:59.2564940Z Running inductor/test_cutlass_backend 1/1 ... [2025-06-01 21:08:59.255779]
2025-06-01T21:08:59.2565240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:08:59.2566020Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:08:59.256027]
2025-06-01T21:09:02.9254230Z 
2025-06-01T21:09:02.9254850Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_4c844719b61aaf81_.log
2025-06-01T21:09:02.9257080Z 
2025-06-01T21:09:02.9257270Z Running test_transformers_privateuse1 1/1 ... [2025-06-01 21:09:02.925646]
2025-06-01T21:09:03.7998080Z running install
2025-06-01T21:09:03.7999500Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-06-01T21:09:03.8000080Z !!
2025-06-01T21:09:03.8000150Z 
2025-06-01T21:09:03.8000240Z         ********************************************************************************
2025-06-01T21:09:03.8000500Z         Please avoid running ``setup.py`` directly.
2025-06-01T21:09:03.8000750Z         Instead, use pypa/build, pypa/installer or other
2025-06-01T21:09:03.8000960Z         standards-based tools.
2025-06-01T21:09:03.8001080Z 
2025-06-01T21:09:03.8001280Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-06-01T21:09:03.8001590Z         ********************************************************************************
2025-06-01T21:09:03.8001740Z 
2025-06-01T21:09:03.8001780Z !!
2025-06-01T21:09:03.8001900Z   self.initialize_options()
2025-06-01T21:09:03.8064330Z running build
2025-06-01T21:09:03.8064510Z running build_py
2025-06-01T21:09:03.8094820Z creating build
2025-06-01T21:09:03.8095340Z creating build/lib.macosx-11.1-arm64-cpython-312
2025-06-01T21:09:03.8096040Z creating build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:09:03.8096710Z copying pytorch_openreg/_device_daemon.py -> build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:09:03.8098970Z copying pytorch_openreg/_meta_parser.py -> build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:09:03.8100060Z copying pytorch_openreg/__init__.py -> build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:09:03.8101260Z copying pytorch_openreg/_aten_impl.py -> build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:09:03.8105750Z running build_ext
2025-06-01T21:09:03.8813920Z building 'pytorch_openreg._C' extension
2025-06-01T21:09:03.8814760Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312
2025-06-01T21:09:03.8815560Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users
2025-06-01T21:09:03.8816380Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user
2025-06-01T21:09:03.8817210Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner
2025-06-01T21:09:03.8818320Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work
2025-06-01T21:09:03.8819220Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch
2025-06-01T21:09:03.8820160Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch
2025-06-01T21:09:03.8821130Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test
2025-06-01T21:09:03.8822160Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions
2025-06-01T21:09:03.8823270Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension
2025-06-01T21:09:03.8824780Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg
2025-06-01T21:09:03.8826060Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc
2025-06-01T21:09:06.9121430Z [1/3] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o -g -Wall -Werror -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -std=c++17
2025-06-01T21:09:08.1770410Z [2/3] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o -g -Wall -Werror -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -std=c++17
2025-06-01T21:09:08.6797900Z [3/3] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o -g -Wall -Werror -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -std=c++17
2025-06-01T21:09:08.6835380Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg/_C.so
2025-06-01T21:09:08.6996820Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:09:08.7267330Z running install_lib
2025-06-01T21:09:08.7304860Z copying build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg/_C.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg
2025-06-01T21:09:08.7313120Z running install_egg_info
2025-06-01T21:09:08.7383100Z running egg_info
2025-06-01T21:09:08.7409590Z writing pytorch_openreg.egg-info/PKG-INFO
2025-06-01T21:09:08.7414020Z writing dependency_links to pytorch_openreg.egg-info/dependency_links.txt
2025-06-01T21:09:08.7422010Z writing requirements to pytorch_openreg.egg-info/requires.txt
2025-06-01T21:09:08.7422730Z writing top-level names to pytorch_openreg.egg-info/top_level.txt
2025-06-01T21:09:08.7453940Z reading manifest file 'pytorch_openreg.egg-info/SOURCES.txt'
2025-06-01T21:09:08.7458030Z writing manifest file 'pytorch_openreg.egg-info/SOURCES.txt'
2025-06-01T21:09:08.7459170Z removing './install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg-1.0-py3.12.egg-info' (and everything under it)
2025-06-01T21:09:08.7463430Z Copying pytorch_openreg.egg-info to ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg-1.0-py3.12.egg-info
2025-06-01T21:09:08.7476110Z running install_scripts
2025-06-01T21:09:08.9728920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:09:08.9733340Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_transformers_privateuse1.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:09:08.973186]
2025-06-01T21:09:12.7843670Z 
2025-06-01T21:09:12.7844270Z test_transformers_privateuse1 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_privateuse1_1.1_f938be4f11f0043c_.log
2025-06-01T21:09:12.7845800Z Running 3 items in this shard: test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_fused_sdp_choice_privateuseone, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable_backward
2025-06-01T21:09:12.7846850Z 
2025-06-01T21:09:12.7847160Z Running inductor/test_flex_attention 1/1 ... [2025-06-01 21:09:12.784671]
2025-06-01T21:09:12.7847470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:09:12.7850400Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:09:12.784944]
2025-06-01T21:09:15.3879000Z 
2025-06-01T21:09:15.3879720Z inductor/test_flex_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.1_8537f9f8554792c2_.log
2025-06-01T21:09:15.4043130Z Running 491 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_causal_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod2_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod3_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod4_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod5_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_autograd_function_in_score_mod_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_block_mask_non_divisible_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod1_cpu_float32, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu
2025-06-01T21:09:15.4185150Z 
2025-06-01T21:09:15.4185280Z Running test_extension_utils 1/1 ... [2025-06-01 21:09:15.388672]
2025-06-01T21:09:15.4185530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:09:15.4186280Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_extension_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'] ... [2025-06-01 21:09:15.388984]
2025-06-01T21:09:17.2727280Z 
2025-06-01T21:09:17.2728040Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_dc4454668da9630f_.log
2025-06-01T21:09:17.2729010Z Running 2 items in this shard: test/test_extension_utils.py::TestExtensionUtils::test_external_module_register, test/test_extension_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend
2025-06-01T21:09:17.2729550Z 
2025-06-01T21:09:17.2730460Z Running test_cpp_api_parity 1/1 ... [2025-06-01 21:09:17.272999]
2025-06-01T21:09:17.2730740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:09:17.2733460Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:09:17.273253]
2025-06-01T21:09:35.5962260Z 
2025-06-01T21:09:35.5964310Z 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_9ac6d1d7569b4f0d_.log
2025-06-01T21:09:35.6103160Z 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, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups_cuda, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_1x1x1_no_bias, 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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
2025-06-01T21:09:35.6218360Z 
2025-06-01T21:09:35.6218550Z Running test_cpp_extensions_open_device_registration 1/1 ... [2025-06-01 21:09:35.596989]
2025-06-01T21:09:36.4920100Z running install
2025-06-01T21:09:36.4921430Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-06-01T21:09:36.4922020Z !!
2025-06-01T21:09:36.4922090Z 
2025-06-01T21:09:36.4922180Z         ********************************************************************************
2025-06-01T21:09:36.4922440Z         Please avoid running ``setup.py`` directly.
2025-06-01T21:09:36.4922690Z         Instead, use pypa/build, pypa/installer or other
2025-06-01T21:09:36.4922910Z         standards-based tools.
2025-06-01T21:09:36.4923040Z 
2025-06-01T21:09:36.4923230Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-06-01T21:09:36.4923560Z         ********************************************************************************
2025-06-01T21:09:36.4923710Z 
2025-06-01T21:09:36.4923750Z !!
2025-06-01T21:09:36.4923870Z   self.initialize_options()
2025-06-01T21:09:36.4987710Z running build
2025-06-01T21:09:36.4987910Z running build_py
2025-06-01T21:09:36.5019100Z creating build
2025-06-01T21:09:36.5020050Z creating build/lib.macosx-11.1-arm64-cpython-312
2025-06-01T21:09:36.5020540Z creating build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:09:36.5021250Z copying pytorch_openreg/_device_daemon.py -> build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:09:36.5023470Z copying pytorch_openreg/_meta_parser.py -> build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:09:36.5024710Z copying pytorch_openreg/__init__.py -> build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:09:36.5025850Z copying pytorch_openreg/_aten_impl.py -> build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg
2025-06-01T21:09:36.5030210Z running build_ext
2025-06-01T21:09:36.5755130Z building 'pytorch_openreg._C' extension
2025-06-01T21:09:36.5756410Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312
2025-06-01T21:09:36.5757250Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users
2025-06-01T21:09:36.5758060Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user
2025-06-01T21:09:36.5758900Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner
2025-06-01T21:09:36.5759780Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work
2025-06-01T21:09:36.5760680Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch
2025-06-01T21:09:36.5761640Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch
2025-06-01T21:09:36.5762630Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test
2025-06-01T21:09:36.5763650Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions
2025-06-01T21:09:36.5764950Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension
2025-06-01T21:09:36.5766220Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg
2025-06-01T21:09:36.5767500Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc
2025-06-01T21:09:39.6258370Z [1/3] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o -g -Wall -Werror -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -std=c++17
2025-06-01T21:09:40.8799220Z [2/3] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o -g -Wall -Werror -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -std=c++17
2025-06-01T21:09:41.3858460Z [3/3] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o -g -Wall -Werror -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=_C -std=c++17
2025-06-01T21:09:41.3896300Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/Module.o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegHooks.o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/build/temp.macosx-11.1-arm64-cpython-312/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/pytorch_openreg/csrc/OpenRegMem.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg/_C.so
2025-06-01T21:09:41.4054540Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:09:41.4325380Z running install_lib
2025-06-01T21:09:41.4363850Z copying build/lib.macosx-11.1-arm64-cpython-312/pytorch_openreg/_C.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg
2025-06-01T21:09:41.4372570Z running install_egg_info
2025-06-01T21:09:41.4446200Z running egg_info
2025-06-01T21:09:41.4473000Z writing pytorch_openreg.egg-info/PKG-INFO
2025-06-01T21:09:41.4477890Z writing dependency_links to pytorch_openreg.egg-info/dependency_links.txt
2025-06-01T21:09:41.4479130Z writing requirements to pytorch_openreg.egg-info/requires.txt
2025-06-01T21:09:41.4480090Z writing top-level names to pytorch_openreg.egg-info/top_level.txt
2025-06-01T21:09:41.4512430Z reading manifest file 'pytorch_openreg.egg-info/SOURCES.txt'
2025-06-01T21:09:41.4516610Z writing manifest file 'pytorch_openreg.egg-info/SOURCES.txt'
2025-06-01T21:09:41.4517660Z removing './install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg-1.0-py3.12.egg-info' (and everything under it)
2025-06-01T21:09:41.4522020Z Copying pytorch_openreg.egg-info to ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/pytorch_openreg-1.0-py3.12.egg-info
2025-06-01T21:09:41.4534330Z running install_scripts
2025-06-01T21:09:41.6734890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:09:41.6739090Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:09:41.673784]
2025-06-01T21:09:43.5955570Z 
2025-06-01T21:09:43.5956370Z 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_926dc3d4c7b4cf66_.log
2025-06-01T21:09:43.5966960Z Running 23 items in this shard: test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_base_device_registration, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_common_registration, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_compile_autograd_function_aliasing, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_compile_autograd_function_returns_self, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_cpu_serialization, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_dispatchstub, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_dlpack, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_faketensor, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_generator_registration_and_hooks, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_named_tensor, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_numpy_serialization, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_packed_sequence, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_quantized, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_random, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_scalar_type_fallback, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_serialization, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_storage, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_storage_pin_memory, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_storage_resize, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_storage_type, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_tensor, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_tensor_type_fallback, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_tensorlist_type_fallback
2025-06-01T21:09:43.5975990Z 
2025-06-01T21:09:43.5976110Z Running test_fx 1/1 ... [2025-06-01 21:09:43.595903]
2025-06-01T21:09:43.5976510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:09:43.5977420Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:09:43.596196]
2025-06-01T21:10:00.9740970Z 
2025-06-01T21:10:00.9741440Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_6810c96842c4a487_.log
2025-06-01T21:10:00.9991860Z Running 1152 items in this shard: 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::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_impure_custom, test/test_fx.py::TestDCE::test_impure_kwargs, test/test_fx.py::TestDCE::test_impure_nodes_args, test/test_fx.py::TestDCE::test_impure_random, test/test_fx.py::TestDCE::test_keep_collectives, test/test_fx.py::TestDCE::test_keep_collectives_no_overload, test/test_fx.py::TestDCE::test_keep_module_with_side_effects, test/test_fx.py::TestDCE::test_keep_setitem, 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, 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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, 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test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list_bad, test/test_fx.py::TestMatcher::test_variatic_arg_matching, 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::TestSourceMatcher::test_legalize_slice, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_True, 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_callback, 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, 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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, 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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, 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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_print_graph, test/test_fx.py::TestFX::test_profiler_ranges_side_effect, 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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_typename_print_pre_pep585, 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__unsafe_masked_index_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_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_alias_copy_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_copy_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_copy_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_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_prod_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_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_channel_shuffle_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_copy_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_copy_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_copy_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_torch_ops_aten__safe_softmax_default_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_copy_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_copy_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_copy_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
2025-06-01T21:10:01.0230010Z 
2025-06-01T21:10:01.0230120Z Running test_dispatch 1/1 ... [2025-06-01 21:10:00.975154]
2025-06-01T21:10:01.0230370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:10:01.0231080Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:10:00.975439]
2025-06-01T21:10:20.9735620Z 
2025-06-01T21:10:20.9736100Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_3497d854b6d4f6fd_.log
2025-06-01T21:10:20.9742310Z 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
2025-06-01T21:10:20.9747760Z 
2025-06-01T21:10:20.9747910Z Running inductor/test_benchmark_fusion 1/1 ... [2025-06-01 21:10:20.973872]
2025-06-01T21:10:20.9748200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:10:20.9748950Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:10:20.974130]
2025-06-01T21:10:24.6740060Z 
2025-06-01T21:10:24.6740690Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_6b5a4292a7f1d7b7_.log
2025-06-01T21:10:24.6741240Z Running 0 items in this shard:
2025-06-01T21:10:24.6741370Z 
2025-06-01T21:10:24.6743070Z Running test_tensorexpr 1/1 ... [2025-06-01 21:10:24.674257]
2025-06-01T21:10:24.6743340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:10:24.6745940Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:10:24.674518]
2025-06-01T21:10:37.0112960Z 
2025-06-01T21:10:37.0113440Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_12fecb141bff35bf_.log
2025-06-01T21:10:37.0125510Z 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
2025-06-01T21:10:37.0137120Z 
2025-06-01T21:10:37.0137240Z Running test_show_pickle 1/1 ... [2025-06-01 21:10:37.011603]
2025-06-01T21:10:37.0137500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:10:37.0138250Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:10:37.011862]
2025-06-01T21:10:38.8785220Z 
2025-06-01T21:10:38.8785710Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_d1e2a2fb0eb0de5e_.log
2025-06-01T21:10:38.8786420Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model
2025-06-01T21:10:38.8786710Z 
2025-06-01T21:10:38.8788500Z Running test_fake_tensor 1/1 ... [2025-06-01 21:10:38.878791]
2025-06-01T21:10:38.8788780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:10:38.8791730Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:10:38.879079]
2025-06-01T21:10:44.3159950Z 
2025-06-01T21:10:44.3160510Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_cf8efa8d776529d7_.log
2025-06-01T21:10:44.3236920Z Running 274 items in this shard: test/test_fake_tensor.py::FakeTensorTest::test__adaptive_avg_pool2d_backward, test/test_fake_tensor.py::FakeTensorTest::test_alias_call, 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_convert_fake_to_real, 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_fast_div, 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_complex128, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int16, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int8, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_uint8, 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_parameter_view, 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_scan_reverse_False, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_True, 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_split_return_self, 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_unsqueeze_copy, 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::PropagateRealTensorsFakeTensorTest::test__adaptive_avg_pool2d_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_alias_call_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_allow_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_copy_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_index_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_slice_scatter_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_basic_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_batch_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_binary_op_type_promotion_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_convert_fake_to_real_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cpu_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_initialized_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_lstm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_with_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_without_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_custom_op_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_data_dependent_operator_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_deepcopy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_device_inplace_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_embedding_bag_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_export_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_dispatch_keys_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_grad_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_from_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fsdp_flat_param_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_full_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex128_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int16_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_uint8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_put_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_jagged_fake_to_fake_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_like_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mixed_real_and_fake_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_overlapping_stride_zero_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_parameter_grad_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_normalize_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_out_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_instantiation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_print_in_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_randperm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_recursive_invocation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_repr_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_same_shape_env_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scalar_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_False_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_True_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_setitem_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_shape_take_not_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_split_return_self_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_throw_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_tolist_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_type_as_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unsqueeze_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_upsample_bilinear_small_channels_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_zero_dim_propagate_real_tensors, 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::PropagateRealTensorsFakeTensorConstHandling::test_aliased_const_write_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_propagate_through_functions_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_batch_norm_cpu_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_in_intlist_repro_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_add_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_view_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storage_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storages_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_simple_propagate_real_tensors, 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_NumpyMulScalarCustomOp_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, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyViewCopyCustomOp_cpu_float32, 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::PropagateRealTensorsFakeTensorConverterTest::test_dead_key_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_weak_ref_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_from_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_to_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_multiple_modes_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_active_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_ref_cycle_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_non_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_view_propagate_real_tensors, 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_gpu_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::PropagateRealTensorsFakeTensorOperatorInvariants::test_conv_c1_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_cross_entropy_loss_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_embedding_bag_private_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_fake_gpu_no_init_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_flash_attention_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_like_ops_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_no_dispatch_with_like_function_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_non_kwarg_only_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_sparse_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_str_storage_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_new_propagate_real_tensors, 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_nonzero_stride, test/test_fake_tensor.py::FakeTensorPropTest::test_torch_load_with_fake_mode, test/test_fake_tensor.py::FakeTensorPropTest::test_unbacked_shape_realloc, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nonzero_stride_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_torch_load_with_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_unbacked_shape_realloc_propagate_real_tensors, 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__upsample_bilinear2d_aa_backward_dynamic_shapes, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_aten_index, 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_tuple_outputs, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_fft_hfft2_issue145522, test/test_fake_tensor.py::FakeTensorDispatchCache::test_from_buffer, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph_cacheable_inplace, test/test_fake_tensor.py::FakeTensorDispatchCache::test_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_unbacked_output, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device
2025-06-01T21:10:44.3307100Z 
2025-06-01T21:10:44.3307230Z Running test_cuda_trace 1/1 ... [2025-06-01 21:10:44.316551]
2025-06-01T21:10:44.3307500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:10:44.3308340Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:10:44.316853]
2025-06-01T21:10:46.0151160Z 
2025-06-01T21:10:46.0151700Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_68622ed5a2a6dada_.log
2025-06-01T21:10:46.0152170Z Running 0 items in this shard:
2025-06-01T21:10:46.0152290Z 
2025-06-01T21:10:46.0154430Z Running test_utils 1/1 ... [2025-06-01 21:10:46.015377]
2025-06-01T21:10:46.0154670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:10:46.0157680Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:10:46.015625]
2025-06-01T21:12:31.0693760Z 
2025-06-01T21:12:31.0694280Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_574a442a20cfd9f1_.log
2025-06-01T21:12:31.1896730Z Running 6034 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, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bool, 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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_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_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_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2fnuz, 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_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint32, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, 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_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float16, 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_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_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex64, 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_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex64, 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_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_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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int32, 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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32, 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_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16, 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_channel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8, 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_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float16, 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_bfloat16, 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_float16, 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_float16, 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_float16, 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_float16, 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_bool, 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_complex32, 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_complex32, 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_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64, 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_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_uint8, 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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int64, 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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_bfloat16, 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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int32, 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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64, 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, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64, 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, 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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_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64, 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_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_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_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_torch__scaled_mm_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_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_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_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_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_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_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, 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_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_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_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, 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, test/test_utils.py::TestTryImport::test_import_existing, test/test_utils.py::TestTryImport::test_import_imported, test/test_utils.py::TestTryImport::test_import_missing
2025-06-01T21:12:31.3652250Z 
2025-06-01T21:12:31.3652410Z Running test_multiprocessing 1/1 ... [2025-06-01 21:12:31.074691]
2025-06-01T21:12:31.3652680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:12:31.3653450Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:12:31.075069]
2025-06-01T21:15:37.4753170Z 
2025-06-01T21:15:37.4753830Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_34acc07c673aeb77_.log
2025-06-01T21:15:37.4765400Z Running 41 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_empty_tensor_sharing_meta, 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_meta_simple, 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_set_thread_name, test/test_multiprocessing.py::TestMultiprocessing::test_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_wrong_cuda_fork
2025-06-01T21:15:37.4776160Z 
2025-06-01T21:15:37.4776350Z Running test_tensor_creation_ops 1/1 ... [2025-06-01 21:15:37.475684]
2025-06-01T21:15:37.4776720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:15:37.4777760Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:15:37.476017]
2025-06-01T21:15:47.3201050Z 
2025-06-01T21:15:47.3201630Z 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_77ffd7aa0326fa9d_.log
2025-06-01T21:15:47.3342570Z Running 640 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, 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test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_roll_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float32, 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_distribution_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_randperm_large_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
2025-06-01T21:15:47.3470140Z 
2025-06-01T21:15:47.3470290Z Running test_cuda_nvml_based_avail 1/1 ... [2025-06-01 21:15:47.320743]
2025-06-01T21:15:47.3470550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:15:47.3471320Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:15:47.321008]
2025-06-01T21:15:49.0144340Z 
2025-06-01T21:15:49.0144870Z 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_af00e458669f9aea_.log
2025-06-01T21:15:49.0145610Z Running 0 items in this shard:
2025-06-01T21:15:49.0145730Z 
2025-06-01T21:15:49.0147330Z Running inductor/test_max_autotune 1/1 ... [2025-06-01 21:15:49.014682]
2025-06-01T21:15:49.0147630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:15:49.0150270Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:15:49.014944]
2025-06-01T21:15:52.4753770Z 
2025-06-01T21:15:52.4754370Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_1b635d5cb1c0ea03_.log
2025-06-01T21:15:52.4754860Z 
2025-06-01T21:15:52.4757010Z Running test_python_dispatch 1/1 ... [2025-06-01 21:15:52.475622]
2025-06-01T21:15:52.4757290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:15:52.4759720Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:15:52.475896]
2025-06-01T21:15:58.2204930Z 
2025-06-01T21:15:58.2205970Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_c6c43bfefb88eac5_.log
2025-06-01T21:15:58.2237980Z Running 116 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_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, 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_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, 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_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_detection, 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_view_returns_alias_under_torch_dispatch, 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_multiprocessing_preserves_dtype, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode, 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_NumpyMulScalarCustomOp_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_fft_fft2_cpu, 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
2025-06-01T21:15:58.2267200Z 
2025-06-01T21:15:58.2267400Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-06-01 21:15:58.220915]
2025-06-01T21:15:58.2267740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:15:58.2268650Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:15:58.221220]
2025-06-01T21:15:59.9859190Z 
2025-06-01T21:15:59.9859900Z test_cpp_extensions_mtia_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_mtia_backend_1.1_721039ee41cc5a56_.log
2025-06-01T21:15:59.9862270Z Running 5 items in this shard: test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_device_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_get_device_module, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_basic, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context_different_device
2025-06-01T21:15:59.9864030Z 
2025-06-01T21:15:59.9864250Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-06-01 21:15:59.986310]
2025-06-01T21:15:59.9864670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:15:59.9867570Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:15:59.986650]
2025-06-01T21:16:01.7404530Z 
2025-06-01T21:16:01.7405600Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_26f857a61fd52468_.log
2025-06-01T21:16:01.7406700Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event
2025-06-01T21:16:01.7407170Z 
2025-06-01T21:16:01.7408490Z Running test_autograd_fallback 1/1 ... [2025-06-01 21:16:01.740787]
2025-06-01T21:16:01.7408880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:16:01.7412640Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:16:01.741139]
2025-06-01T21:16:03.6867640Z 
2025-06-01T21:16:03.6868280Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_e40a73890c5be7b7_.log
2025-06-01T21:16:03.6877130Z 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
2025-06-01T21:16:03.6885970Z 
2025-06-01T21:16:03.6886150Z Running test_namedtuple_return_api 1/1 ... [2025-06-01 21:16:03.687119]
2025-06-01T21:16:03.6886590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:16:03.6887560Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:16:03.687421]
2025-06-01T21:16:06.1130940Z 
2025-06-01T21:16:06.1131690Z 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_697c902d59e7d64e_.log
2025-06-01T21:16:06.1133200Z 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
2025-06-01T21:16:06.1134130Z 
2025-06-01T21:16:06.1135140Z Running test_sort_and_select 1/1 ... [2025-06-01 21:16:06.113441]
2025-06-01T21:16:06.1135540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:16:06.1139550Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:16:06.113828]
2025-06-01T21:16:09.0225160Z 
2025-06-01T21:16:09.0225770Z 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_2cb17a0da3954a73_.log
2025-06-01T21:16:09.0250010Z Running 113 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCPU::test_complex_unsupported_cpu_cpu, 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_bool, 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_bool, 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
2025-06-01T21:16:09.0273720Z 
2025-06-01T21:16:09.0273840Z Running test_jit_disabled 1/1 ... [2025-06-01 21:16:09.022883]
2025-06-01T21:16:09.0274120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:16:09.0274930Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:16:09.023154]
2025-06-01T21:16:10.9523810Z 
2025-06-01T21:16:10.9524380Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_6e156d8a96c9bb87_.log
2025-06-01T21:16:10.9525370Z 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
2025-06-01T21:16:10.9525980Z 
2025-06-01T21:16:10.9527230Z Running inductor/test_distributed_patterns 1/1 ... [2025-06-01 21:16:10.952670]
2025-06-01T21:16:10.9527530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:16:10.9530750Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:16:10.952939]
2025-06-01T21:16:14.3496200Z 
2025-06-01T21:16:14.3496860Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_0df58db3bc500cef_.log
2025-06-01T21:16:14.3497410Z 
2025-06-01T21:16:14.3499540Z Running test_autocast 1/1 ... [2025-06-01 21:16:14.349878]
2025-06-01T21:16:14.3499800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:16:14.3502600Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:16:14.350156]
2025-06-01T21:16:16.8320750Z 
2025-06-01T21:16:16.8321260Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_152da8e8caf97a32_.log
2025-06-01T21:16:16.8325330Z Running 20 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::TestAutocastCPU::test_cpu_autocast_deprecated_warning, test/test_autocast.py::TestAutocastCPU::test_generic_autocast, test/test_autocast.py::TestAutocastGPU::test_autocast_prioritize, test/test_autocast.py::TestAutocastGPU::test_cache_disabled, test/test_autocast.py::TestAutocastGPU::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_bfloat16_supported, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_error_message, test/test_autocast.py::TestTorchAutocast::test_autocast_fast_dtype, test/test_autocast.py::TestTorchAutocast::test_invalid_device, test/test_autocast.py::TestTorchAutocast::test_non_string_device
2025-06-01T21:16:16.8329540Z 
2025-06-01T21:16:16.8329670Z Running test_native_mha 1/1 ... [2025-06-01 21:16:16.832394]
2025-06-01T21:16:16.8329940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:16:16.8330740Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:16:16.832666]
2025-06-01T21:16:18.8042680Z 
2025-06-01T21:16:18.8043230Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_761090f9dfa85294_.log
2025-06-01T21:16:18.8058720Z 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
2025-06-01T21:16:18.8073200Z 
2025-06-01T21:16:18.8073310Z Running test_nn 1/1 ... [2025-06-01 21:16:18.804638]
2025-06-01T21:16:18.8073580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:16:18.8074400Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:16:18.804938]
2025-06-01T21:18:10.7324980Z 
2025-06-01T21:18:10.7325530Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_7a80ee9f2fdb32a2_.log
2025-06-01T21:18:10.8495070Z Running 3396 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_CTCLoss_zero_lengths, 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_backward_cl_cf_consistency_device_cpu_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_3, 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_half_overflow, 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_bilinear_value_error, 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_bad_module_subclass, 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_input_checks, 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_gaussian_nll_loss_scalar_var, 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_backwards_eps, 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_layer_norm_large_tensor, 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_pickle_module_no_weights_only_warning, 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_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_set_submodule, 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_poisons_acc_grad, 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_weighted_huber_loss, test/test_nn.py::TestNN::test_weighted_l1_loss_with_weights, test/test_nn.py::TestNN::test_weighted_mse_loss, 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_float64, 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_ReflectionPad2d_large_deterministic_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_ReflectionPad_fails_cpu, 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_tensor2_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_ctc_loss_cudnn_tensor_cpu_length_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_error_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_corner_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float32, 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_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_none_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu_float32, 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_rmsnorm_numeric_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_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_backward_smem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_grad_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_without_fully_vectorized_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_double_cpu_float64, 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_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_float32, 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_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingnearest2d_backward_64bit_indexing_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, test/test_nn.py::TestNNDeviceTypeMPS::test_BatchNorm_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_Bilinear_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_cudnn_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_empty_target_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GRU_grad_and_gradgrad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_memory_format_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_numeric_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_raises_error_if_one_value_per_group_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm1d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm2d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm3d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_differentiable_backward_using_oneDNN_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_differentiable_backward_using_oneDNN_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_grad_and_gradgrad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_LayerNorm_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LayerNorm_numeric_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LocalResponseNorm_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_empty_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_warnings_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad2d_large_deterministic_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad2d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad3d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_empty_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_fails_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad1d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad2d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad3d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad_empty_mps_complex128, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad_empty_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerDecoderLayer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerDecoder_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerEncoderLayer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerEncoder_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_Transformer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_Unfold_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_half_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_half_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_adaptiveavg_pool1d_shmem_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate45_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate90_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotateRandom_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_3d_rotateRandom_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_avg_pool_large_tensor2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_avg_pool_large_tensor_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_large_batch_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_large_batch_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_update_stats_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_channel_shuffle_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_error_if_nonfinite_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_0_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_1_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_4_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_inf_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_0_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_1_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_4_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_inf_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_multi_device_foreach_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_multi_device_foreach_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_value_foreach_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_value_foreach_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_errors_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_weight_ignore_indices_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_with_probs_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_2d_out_of_bounds_class_index_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_2d_out_of_bounds_class_index_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_index_target_unit_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_one_hot_target_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_all_reductions_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_unit_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_tensor_cpu_length_cuda_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_tensor_cuda_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_error_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_device_mask_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_elu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_elu_inplace_with_neg_alpha_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_fold_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_glu_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_bfloat16_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_half_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_2d_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_2d_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_3d_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_3d_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_nan_inf_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_nan_inf_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_gumbel_softmax_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_hardsigmoid_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_for_single_spatial_element_during_training_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_less_than_one_value_per_channel_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_invalid_reduction_strings_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_layernorm_half_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_layernorm_weight_bias_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_with_neg_slope_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_with_zero_slope_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_linear_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_big_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_logsigmoid_out_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_lstmcell_backward_only_one_output_grad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_TxT_layout_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_devices_parity_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_forward_with_nans_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_lowp_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_lowp_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_mask_types_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_transformer_layout_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_mish_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_module_to_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_module_to_empty_non_recursive_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_all_ignored_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_byte_target_matches_long_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_mean_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_mean_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_none_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_none_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_sum_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_sum_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_invalid_target_dim_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_invalid_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_mismatched_batch_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_out_of_bounds_ignore_index_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_total_weight_is_zero_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_scalars_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_scalars_reductions_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nonlinearity_propagate_nan_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_one_hot_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_overwrite_module_params_on_conversion_cpu_device_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_pad_mps_complex128, test/test_nn.py::TestNNDeviceTypeMPS::test_pad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_prelu_backward_32bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_replicatepad_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_numeric_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_numeric_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_fused_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_fused_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_retain_variables_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_retain_variables_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_save_lstm_compatibility_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_silu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_skip_init_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smooth_l1_loss_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smooth_l1_loss_vs_huber_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smoothl1loss_backward_zero_beta_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_64bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_smem_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_unaligned_grad_output_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_unaligned_output_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_without_fully_vectorized_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_double_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_forward_64bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_results_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_softplus_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softplus_low_threshold_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_negative_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_threshold_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_to_complex_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_to_complex_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_fast_path_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_gelu_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_triplet_margin_with_distance_loss_default_parity_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_triplet_margin_with_distance_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::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_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_mps_int16, 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test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBilinear2d_aa_correctness_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBilinear2d_aa_correctness_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_correctness_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_correctness_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_mps, 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test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format0_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format1_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_rescale_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_False_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_False_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_True_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_True_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsampling_64bit_indexing_channels_last_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsampling_64bit_indexing_channels_last_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingnearest2d_backward_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_variable_sequence_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_warp_softmax_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_warp_softmax_64bit_indexing_mps_float32
2025-06-01T21:18:10.9915270Z 
2025-06-01T21:18:10.9915430Z Running test_cuda_primary_ctx 1/1 ... [2025-06-01 21:18:10.735993]
2025-06-01T21:18:10.9915740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:18:10.9916590Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:18:10.736422]
2025-06-01T21:18:14.3021650Z 
2025-06-01T21:18:14.3022220Z 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_c6ad6ec6959a24dc_.log
2025-06-01T21:18:14.3022780Z Running 0 items in this shard:
2025-06-01T21:18:14.3022970Z 
2025-06-01T21:18:14.3024830Z Running distributions/test_distributions 1/1 ... [2025-06-01 21:18:14.302441]
2025-06-01T21:18:14.3025160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:18:14.3028280Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:18:14.302711]
2025-06-01T21:18:36.1149420Z 
2025-06-01T21:18:36.1150110Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_14a224fba0f81fa7_.log
2025-06-01T21:18:36.1209990Z Running 229 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_generalized_pareto, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto_sample, 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_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_normal_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_multinomial_sequential_draw, 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
2025-06-01T21:18:36.1264040Z 
2025-06-01T21:18:36.1264210Z Running test_cpp_extensions_jit 1/1 ... [2025-06-01 21:18:36.115430]
2025-06-01T21:18:36.1264500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:18:36.1265310Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:18:36.115727]
2025-06-01T21:20:23.5600820Z 
2025-06-01T21:20:23.5601370Z 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_6dce9538ab214fbb_.log
2025-06-01T21:20:23.5609850Z Running 32 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_aoti_torch_call_dispatcher, 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_cuda_pluggable_allocator_include, 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_inline_jit_compile_extension_xpu, 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_jit_xpu_archlists, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_load_with_non_platform_default_encoding, 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
2025-06-01T21:20:23.5617820Z 
2025-06-01T21:20:23.5618030Z Running nn/test_pooling 1/1 ... [2025-06-01 21:20:23.560449]
2025-06-01T21:20:23.5618330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:20:23.5619200Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:20:23.560717]
2025-06-01T21:20:41.2176690Z 
2025-06-01T21:20:41.2177330Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_289181250bcabe82_.log
2025-06-01T21:20:41.2219490Z Running 186 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::TestPoolingNN::test_quantized_max_pool3d, 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_avg_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_max_pooling_backward_fails_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_backward_fails_cpu, 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_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, 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_pool2d_with_indices_backward_fails_cpu, 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, 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2025-06-01T21:20:41.2260740Z 
2025-06-01T21:20:41.2260850Z Running test_torch 1/1 ... [2025-06-01 21:20:41.218030]
2025-06-01T21:20:41.2261220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:20:41.2262050Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:20:41.218296]
2025-06-01T21:20:48.8602030Z 
2025-06-01T21:20:48.8602650Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_5ee7ec82d34956e0_.log
2025-06-01T21:20:48.8810240Z Running 1040 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_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, 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_conj_physical_meta_stride, 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_generator, 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_default_dtype, 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_item_no_warning, test/test_torch.py::TestTorch::test_tensor_ressurecting_clear, 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_tensor_with_grad_to_scalar_warning, 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, 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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, 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2025-06-01T21:20:48.8984470Z 
2025-06-01T21:20:48.8984660Z Running test_spectral_ops 1/1 ... [2025-06-01 21:20:48.861309]
2025-06-01T21:20:48.8984970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:20:48.8985700Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:20:48.861632]
2025-06-01T21:20:54.4634310Z 
2025-06-01T21:20:54.4639580Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_d22721e29ea787d7_.log
2025-06-01T21:20:54.4693130Z Running 281 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, 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2025-06-01T21:20:54.4743610Z 
2025-06-01T21:20:54.4743770Z Running nn/test_convolution 1/1 ... [2025-06-01 21:20:54.463825]
2025-06-01T21:20:54.4744070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:20:54.4744830Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:20:54.464079]
2025-06-01T21:22:06.7981660Z 
2025-06-01T21:22:06.7982960Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_37f767cc9051d113_.log
2025-06-01T21:22:06.8361260Z Running 1131 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, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_contiguous_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_mismatch_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_groups_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_no_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_stride_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_strided_with_3D_input_and_weight_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_ic1_channels_last_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_batch_1_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_depthwise_conv_64bit_indexing_cpu, 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, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_backward_depthwise_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_backward_depthwise_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_depthwise_naive_groups_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_depthwise_naive_groups_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_depthwise_naive_groups_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_mps_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_large_workspace_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_large_workspace_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_large_workspace_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_naive_groups_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_size_1_kernel_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv3d_depthwise_naive_groups_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv3d_depthwise_naive_groups_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv3d_depthwise_naive_groups_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose2d_large_output_padding_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose2d_large_output_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose2d_size_1_kernel_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose3d_size_1_kernel_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_contig_wrong_stride_cudnn_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_vs_scipy_mode_same_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_vs_scipy_mode_same_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_vs_scipy_mode_valid_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_vs_scipy_mode_valid_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_no_grad_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_same_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_same_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_same_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_same_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_valid_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_valid_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_valid_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_valid_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_vs_scipy_mode_same_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_vs_scipy_mode_same_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_vs_scipy_mode_valid_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_vs_scipy_mode_valid_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_64bit_indexing_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_large_batch_1_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_same_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_same_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_same_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_same_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_valid_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_valid_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_valid_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_valid_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_vs_scipy_mode_same_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_vs_scipy_mode_same_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_vs_scipy_mode_valid_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_vs_scipy_mode_valid_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_convTranspose_empty_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_True_contiguous_False_mps, 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2025-06-01T21:22:06.8717680Z 
2025-06-01T21:22:06.8717830Z Running test_reductions 1/1 ... [2025-06-01 21:22:06.799442]
2025-06-01T21:22:06.8718120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:22:06.8718860Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:22:06.799743]
2025-06-01T21:23:26.9498740Z 
2025-06-01T21:23:26.9499350Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_65b71e77a3907b66_.log
2025-06-01T21:23:27.0451530Z Running 4565 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, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int64, 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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
2025-06-01T21:23:27.1583090Z 
2025-06-01T21:23:27.1583280Z Running test_mobile_optimizer 1/1 ... [2025-06-01 21:23:26.953209]
2025-06-01T21:23:27.1583590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:23:27.1584390Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:23:26.953523]
2025-06-01T21:23:29.1693330Z 
2025-06-01T21:23:29.1693930Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_21e64d4a7256a777_.log
2025-06-01T21:23:29.1696370Z 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
2025-06-01T21:23:29.1698320Z 
2025-06-01T21:23:29.1698500Z Running test_multiprocessing_spawn 1/1 ... [2025-06-01 21:23:29.169684]
2025-06-01T21:23:29.1698860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:23:29.1700910Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:23:29.169996]
2025-06-01T21:26:24.2572080Z 
2025-06-01T21:26:24.2572610Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_597614df4d20d081_.log
2025-06-01T21:26:24.2579490Z Running 31 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_grace_period0, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period_5, 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_grace_period0, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_all, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_single, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerPerfTest::test_forkserver_perf, test/test_multiprocessing_spawn.py::ErrorTest::test_errors_pickleable
2025-06-01T21:26:24.2586240Z 
2025-06-01T21:26:24.2586370Z Running test_overrides 1/1 ... [2025-06-01 21:26:24.257493]
2025-06-01T21:26:24.2586630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:26:24.2587520Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:26:24.257759]
2025-06-01T21:26:27.8046710Z 
2025-06-01T21:26:27.8047240Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_9caffe3a527c0c86_.log
2025-06-01T21:26:27.8322130Z Running 1467 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_maia___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_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__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___dlpack__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___dlpack_device__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___eq__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___float__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___floordiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___format__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ge__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___getitem__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___gt__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___iadd__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___iand__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___idiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ifloordiv__, 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__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___lshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___lt__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___matmul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___mod__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___mul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ne__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___nonzero__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___or__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___radd__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rand__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rdiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___reduce_ex__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___repr__, 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__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___setstate__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___sub__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___truediv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___xor__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__autocast_to_full_precision, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__autocast_to_reduced_precision, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__clear_non_serializable_cached_data, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__coalesced_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__dimI, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__dimV, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__is_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_storage_offsets, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_strides, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nnz, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__sparse_mask_projection, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__update_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_abs, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_abs_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_absolute_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_acos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_acos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_acosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addbmm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcdiv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcmul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addr_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_align_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_align_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_all, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_amax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_amin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_angle, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_any, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_apply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccosh_, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_right_shift_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bool, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_byte, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cauchy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ccol_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cdouble, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ceil_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cfloat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chalf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_char, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max, 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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_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim_order, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_double, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_element_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1_, 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, 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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_dtype_override, 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, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu_factor_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_rank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_multi_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_pinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_qr, 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, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_log_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_one_hot, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_scaled_dot_product_attention, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_softplus, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_softshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_airy_ai, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_bessel_j0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_bessel_j1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_bessel_y0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_bessel_y1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_chebyshev_polynomial_t, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_expit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammainc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammaincc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammaln, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_hermite_polynomial_h, 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__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, 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_get_device, 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, 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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_sym_sum, 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_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_tensor_subclass, 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_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, 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_getitem_call, 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_torch_function_all_disabled_api, 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
2025-06-01T21:26:27.8582510Z 
2025-06-01T21:26:27.8582620Z Running doctests 1/1 ... [2025-06-01 21:26:27.805906]
2025-06-01T21:26:27.9852830Z Start doctest_module('/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch')
2025-06-01T21:26:27.9853270Z Listing tests
2025-06-01T21:26:27.9853760Z msg = Cannot scrape callname=Library.fallback in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py line=392.
2025-06-01T21:26:27.9854390Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-06-01T21:26:27.9854760Z Registers the function implementation as the fallback for the given key.
2025-06-01T21:26:27.9855240Z 
2025-06-01T21:26:27.9855390Z         This function only works for a library with global namespace ("_").
2025-06-01T21:26:27.9855600Z 
2025-06-01T21:26:27.9855640Z         Args:
2025-06-01T21:26:27.9855900Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-06-01T21:26:27.9856210Z                 to register a fallthrough.
2025-06-01T21:26:27.9856560Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-06-01T21:26:27.9857020Z                           the dispatch key that the library was created with.
2025-06-01T21:26:27.9857470Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-06-01T21:26:27.9858010Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-06-01T21:26:27.9858300Z 
2025-06-01T21:26:27.9858380Z         Example::
2025-06-01T21:26:27.9858470Z 
2025-06-01T21:26:27.9858540Z             >>> my_lib = Library("_", "IMPL")
2025-06-01T21:26:27.9858770Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-06-01T21:26:27.9859000Z             >>>     # Handle all autocast ops generically
2025-06-01T21:26:27.9859190Z             >>>     # ...
2025-06-01T21:26:27.9859380Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-06-01T21:26:27.9859580Z         
2025-06-01T21:26:27.9860090Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-06-01T21:26:27.9860510Z 
2025-06-01T21:26:27.9860590Z my_lib.fallback(fallback_kernel, "Autocast")
2025-06-01T21:26:27.9860770Z ^
2025-06-01T21:26:27.9861200Z msg = Cannot scrape callname=register_fake in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py line=954.
2025-06-01T21:26:27.9861780Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-06-01T21:26:27.9862130Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-06-01T21:26:27.9862340Z 
2025-06-01T21:26:27.9862450Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-06-01T21:26:27.9862620Z 
2025-06-01T21:26:27.9862770Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-06-01T21:26:27.9863120Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-06-01T21:26:27.9863460Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-06-01T21:26:27.9863750Z     what the properties of the output Tensors are.
2025-06-01T21:26:27.9863900Z 
2025-06-01T21:26:27.9864030Z     The FakeTensor implementation has the same signature as the operator.
2025-06-01T21:26:27.9864370Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-06-01T21:26:27.9864700Z     implementation, assume that all Tensor inputs to the operator are
2025-06-01T21:26:27.9865060Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-06-01T21:26:27.9865370Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-06-01T21:26:27.9865700Z     The FakeTensor implementation must consist of only PyTorch operations
2025-06-01T21:26:27.9866020Z     (and may not directly access the storage or data of any input or
2025-06-01T21:26:27.9866260Z     intermediate Tensors).
2025-06-01T21:26:27.9866360Z 
2025-06-01T21:26:27.9866450Z     This API may be used as a decorator (see examples).
2025-06-01T21:26:27.9866610Z 
2025-06-01T21:26:27.9866690Z     For a detailed guide on custom ops, please see
2025-06-01T21:26:27.9866990Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-06-01T21:26:27.9867190Z 
2025-06-01T21:26:27.9867230Z     Args:
2025-06-01T21:26:27.9867430Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-06-01T21:26:27.9867770Z         func: Fake tensor implementation.
2025-06-01T21:26:27.9868030Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-06-01T21:26:27.9868330Z         allow_override: Flag controlling if we want to override an
2025-06-01T21:26:27.9868610Z                         existing registered fake impl. This is by default off,
2025-06-01T21:26:27.9868890Z                         and will error you're trying to register a fake impl to
2025-06-01T21:26:27.9869180Z                         an operator that already has a fake impl. This also only
2025-06-01T21:26:27.9869500Z                         applies if the custom operator was not created via
2025-06-01T21:26:27.9869810Z                         torch.library.custom_op, as overriding and existing fake
2025-06-01T21:26:27.9870060Z                         impl is already allowed.
2025-06-01T21:26:27.9870190Z 
2025-06-01T21:26:27.9870240Z     Examples:
2025-06-01T21:26:27.9870360Z         >>> import torch
2025-06-01T21:26:27.9870510Z         >>> import numpy as np
2025-06-01T21:26:27.9870680Z         >>> from torch import Tensor
2025-06-01T21:26:27.9870850Z         >>>
2025-06-01T21:26:27.9871030Z         >>> # Example 1: an operator without data-dependent output shape
2025-06-01T21:26:27.9871340Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-06-01T21:26:27.9871660Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-06-01T21:26:27.9872010Z         >>>     raise NotImplementedError("Implementation goes here")
2025-06-01T21:26:27.9872240Z         >>>
2025-06-01T21:26:27.9872410Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-06-01T21:26:27.9872630Z         >>> def _(x, weight, bias):
2025-06-01T21:26:27.9872800Z         >>>     assert x.dim() == 2
2025-06-01T21:26:27.9872980Z         >>>     assert weight.dim() == 2
2025-06-01T21:26:27.9873160Z         >>>     assert bias.dim() == 1
2025-06-01T21:26:27.9873370Z         >>>     assert x.shape[1] == weight.shape[1]
2025-06-01T21:26:27.9873590Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-06-01T21:26:27.9873800Z         >>>     assert x.device == weight.device
2025-06-01T21:26:27.9873980Z         >>>
2025-06-01T21:26:27.9874110Z         >>>     return (x @ weight.t()) + bias
2025-06-01T21:26:27.9874280Z         >>>
2025-06-01T21:26:27.9874450Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-06-01T21:26:27.9874680Z         >>>     x = torch.randn(2, 3)
2025-06-01T21:26:27.9874850Z         >>>     w = torch.randn(3, 3)
2025-06-01T21:26:27.9875020Z         >>>     b = torch.randn(3)
2025-06-01T21:26:27.9875220Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-06-01T21:26:27.9875410Z         >>>
2025-06-01T21:26:27.9875530Z         >>> assert y.shape == (2, 3)
2025-06-01T21:26:27.9875690Z         >>>
2025-06-01T21:26:27.9875860Z         >>> # Example 2: an operator with data-dependent output shape
2025-06-01T21:26:27.9876160Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-06-01T21:26:27.9876440Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-06-01T21:26:27.9876640Z         >>>     x_np = x.numpy(force=True)
2025-06-01T21:26:27.9876850Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-06-01T21:26:27.9877070Z         >>>     return torch.tensor(res, device=x.device)
2025-06-01T21:26:27.9877250Z         >>>
2025-06-01T21:26:27.9877460Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-06-01T21:26:27.9877680Z         >>> def _(x):
2025-06-01T21:26:27.9877860Z         >>> # Number of nonzero-elements is data-dependent.
2025-06-01T21:26:27.9878110Z         >>> # Since we cannot peek at the data in an fake impl,
2025-06-01T21:26:27.9878370Z         >>> # we use the ctx object to construct a new symint that
2025-06-01T21:26:27.9878600Z         >>> # represents the data-dependent size.
2025-06-01T21:26:27.9878810Z         >>>     ctx = torch.library.get_ctx()
2025-06-01T21:26:27.9879070Z         >>>     nnz = ctx.new_dynamic_size()
2025-06-01T21:26:27.9879260Z         >>>     shape = [nnz, x.dim()]
2025-06-01T21:26:27.9879470Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-06-01T21:26:27.9879680Z         >>>     return result
2025-06-01T21:26:27.9879830Z         >>>
2025-06-01T21:26:27.9880000Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-06-01T21:26:27.9880220Z         >>>
2025-06-01T21:26:27.9880350Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-06-01T21:26:27.9880650Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-06-01T21:26:27.9880950Z         >>> trace.print_readable()
2025-06-01T21:26:27.9881120Z         >>>
2025-06-01T21:26:27.9881310Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-06-01T21:26:27.9881520Z 
2025-06-01T21:26:27.9881560Z     
2025-06-01T21:26:27.9881970Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-06-01T21:26:27.9882330Z 
2025-06-01T21:26:27.9882380Z _._ = None
2025-06-01T21:26:27.9882480Z ^
2025-06-01T21:26:27.9882930Z msg = Cannot scrape callname=register_autograd in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py line=1089.
2025-06-01T21:26:27.9883570Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:27.9883870Z Register a backward formula for this custom op.
2025-06-01T21:26:27.9884020Z 
2025-06-01T21:26:27.9884150Z     In order for an operator to work with autograd, you need to register
2025-06-01T21:26:27.9884400Z     a backward formula:
2025-06-01T21:26:27.9884620Z     1. You must tell us how to compute gradients during the backward pass
2025-06-01T21:26:27.9884890Z     by providing us a "backward" function.
2025-06-01T21:26:27.9885140Z     2. If you need any values from the forward to compute gradients, you can
2025-06-01T21:26:27.9885420Z     use `setup_context` to save values for backward.
2025-06-01T21:26:27.9885580Z 
2025-06-01T21:26:27.9885710Z     ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``:
2025-06-01T21:26:27.9886040Z     - ``grads`` is one or more gradients. The number of gradients matches
2025-06-01T21:26:27.9886290Z     the number of outputs of the operator.
2025-06-01T21:26:27.9886560Z     The ``ctx`` object is `the same ctx object <context_method_mixins>`_ used by
2025-06-01T21:26:27.9886910Z     :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the
2025-06-01T21:26:27.9887210Z     same as :meth:`torch.autograd.Function.backward`.
2025-06-01T21:26:27.9887370Z 
2025-06-01T21:26:27.9887500Z     ``setup_context(ctx, inputs, output)`` runs during the forward pass.
2025-06-01T21:26:27.9887830Z     Please save quantities needed for backward onto the ``ctx`` object via
2025-06-01T21:26:27.9888170Z     either :meth:`torch.autograd.function.FunctionCtx.save_for_backward`
2025-06-01T21:26:27.9888500Z     or assigning them as attributes of ``ctx``. If your custom op has
2025-06-01T21:26:27.9888830Z     kwarg-only arguments, we expect the signature of ``setup_context``
2025-06-01T21:26:27.9889150Z     to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``.
2025-06-01T21:26:27.9889410Z 
2025-06-01T21:26:27.9889550Z     Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is,
2025-06-01T21:26:27.9889960Z     they may not directly access :meth:`torch.Tensor.data_ptr` and they must
2025-06-01T21:26:27.9890330Z     not depend on or mutate global state. If you need a non-traceable backward,
2025-06-01T21:26:27.9890710Z     you can make it a separate custom_op that you call inside ``backward_fn``.
2025-06-01T21:26:27.9890970Z 
2025-06-01T21:26:27.9891100Z     If you need different autograd behavior on different devices, then we
2025-06-01T21:26:27.9891510Z     recommend creating two different custom operators, one for each device
2025-06-01T21:26:27.9891920Z     that needs different behavior, and switching between them at runtime.
2025-06-01T21:26:27.9892150Z 
2025-06-01T21:26:27.9892220Z     Examples:
2025-06-01T21:26:27.9892370Z         >>> import torch
2025-06-01T21:26:27.9892560Z         >>> import numpy as np
2025-06-01T21:26:27.9892740Z         >>> from torch import Tensor
2025-06-01T21:26:27.9892930Z         >>>
2025-06-01T21:26:27.9893210Z         >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=())
2025-06-01T21:26:27.9893520Z         >>> def numpy_sin(x: Tensor) -> Tensor:
2025-06-01T21:26:27.9893780Z         >>>     x_np = x.cpu().numpy()
2025-06-01T21:26:27.9894000Z         >>>     y_np = np.sin(x_np)
2025-06-01T21:26:27.9894260Z         >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-06-01T21:26:27.9894480Z         >>>
2025-06-01T21:26:27.9894680Z         >>> def setup_context(ctx, inputs, output) -> Tensor:
2025-06-01T21:26:27.9894910Z         >>>     x, = inputs
2025-06-01T21:26:27.9895090Z         >>>     ctx.save_for_backward(x)
2025-06-01T21:26:27.9895310Z         >>>
2025-06-01T21:26:27.9895450Z         >>> def backward(ctx, grad):
2025-06-01T21:26:27.9895660Z         >>>     x, = ctx.saved_tensors
2025-06-01T21:26:27.9895860Z         >>>     return grad * x.cos()
2025-06-01T21:26:27.9896070Z         >>>
2025-06-01T21:26:27.9896220Z         >>> torch.library.register_autograd(
2025-06-01T21:26:27.9896600Z         ...     "mylib::numpy_sin", backward, setup_context=setup_context
2025-06-01T21:26:27.9896840Z         ... )
2025-06-01T21:26:27.9896980Z         >>>
2025-06-01T21:26:27.9897160Z         >>> x = torch.randn(3, requires_grad=True)
2025-06-01T21:26:27.9897370Z         >>> y = numpy_sin(x)
2025-06-01T21:26:27.9897630Z         >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-06-01T21:26:27.9897900Z         >>> assert torch.allclose(grad_x, x.cos())
2025-06-01T21:26:27.9898140Z         >>>
2025-06-01T21:26:27.9898280Z         >>> # Example with a keyword-only arg
2025-06-01T21:26:27.9898590Z         >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-06-01T21:26:27.9898900Z         >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor:
2025-06-01T21:26:27.9899160Z         >>>     x_np = x.cpu().numpy()
2025-06-01T21:26:27.9899360Z         >>>     y_np = x_np * val
2025-06-01T21:26:27.9899590Z         >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-06-01T21:26:27.9899840Z         >>>
2025-06-01T21:26:27.9900060Z         >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor:
2025-06-01T21:26:27.9900380Z         >>>     ctx.val = keyword_only_inputs["val"]
2025-06-01T21:26:27.9900580Z         >>>
2025-06-01T21:26:27.9900740Z         >>> def backward(ctx, grad):
2025-06-01T21:26:27.9900970Z         >>>     return grad * ctx.val
2025-06-01T21:26:27.9901170Z         >>>
2025-06-01T21:26:27.9901330Z         >>> torch.library.register_autograd(
2025-06-01T21:26:27.9901600Z         ...     "mylib::numpy_mul", backward, setup_context=setup_context
2025-06-01T21:26:27.9901850Z         ... )
2025-06-01T21:26:27.9901980Z         >>>
2025-06-01T21:26:27.9902160Z         >>> x = torch.randn(3, requires_grad=True)
2025-06-01T21:26:27.9902360Z         >>> y = numpy_mul(x, val=3.14)
2025-06-01T21:26:27.9909330Z         >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-06-01T21:26:27.9909650Z         >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14))
2025-06-01T21:26:27.9909830Z 
2025-06-01T21:26:27.9909880Z     
2025-06-01T21:26:27.9910100Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.0007400Z 
2025-06-01T21:26:28.0008010Z msg = Cannot scrape callname=opcheck in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py line=1503.
2025-06-01T21:26:28.0008650Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.0009040Z Given an operator and some sample arguments, tests if the operator is
2025-06-01T21:26:28.0009510Z     registered correctly.
2025-06-01T21:26:28.0009620Z 
2025-06-01T21:26:28.0009750Z     That is, when you use the torch.library/TORCH_LIBRARY APIs to create a
2025-06-01T21:26:28.0010110Z     custom op, you specified metadata (e.g. mutability info) about the custom op
2025-06-01T21:26:28.0010480Z     and these APIs require that the functions you pass them satisfy certain
2025-06-01T21:26:28.0010840Z     properties (e.g. no data pointer access in the fake/meta/abstract kernel)
2025-06-01T21:26:28.0011150Z     ``opcheck`` tests these metadata and properties.
2025-06-01T21:26:28.0011480Z 
2025-06-01T21:26:28.0011640Z     Concretely, we test the following:
2025-06-01T21:26:28.0011780Z 
2025-06-01T21:26:28.0011890Z     - test_schema: If the schema matches the implementation of
2025-06-01T21:26:28.0012210Z       the operator. For example: if the schema specifies a Tensor is mutated,
2025-06-01T21:26:28.0012530Z       then we check the implementation mutates the Tensor. If the schema
2025-06-01T21:26:28.0012840Z       specifies that we return a new Tensor, then we check that the
2025-06-01T21:26:28.0013160Z       implementation returns a new Tensor (instead of an existing one or
2025-06-01T21:26:28.0013410Z       a view of an existing one).
2025-06-01T21:26:28.0013650Z     - test_autograd_registration: If the operator supports training
2025-06-01T21:26:28.0013960Z       (autograd): we check that its autograd formula is registered via
2025-06-01T21:26:28.0014350Z       torch.library.register_autograd or a manual registration to one
2025-06-01T21:26:28.0014680Z       or more DispatchKey::Autograd keys. Any other DispatchKey-based
2025-06-01T21:26:28.0014950Z       registrations may lead to undefined behavior.
2025-06-01T21:26:28.0015210Z     - test_faketensor: If the operator has a FakeTensor kernel
2025-06-01T21:26:28.0015490Z       (and if it is correct). The FakeTensor kernel is necessary (
2025-06-01T21:26:28.0015790Z       but not sufficient) for the operator to work with PyTorch compilation
2025-06-01T21:26:28.0016120Z       APIs (torch.compile/export/FX). We check that a FakeTensor kernel
2025-06-01T21:26:28.0016430Z       (also sometimes known as a meta kernel) was registered for the
2025-06-01T21:26:28.0016730Z       operator and that it is correct. This test takes the result of
2025-06-01T21:26:28.0017040Z       running the operator on real tensors and the result of running
2025-06-01T21:26:28.0017340Z       the operator on FakeTensors and checks that they have the same
2025-06-01T21:26:28.0017610Z       Tensor metadata (sizes/strides/dtype/device/etc).
2025-06-01T21:26:28.0017890Z     - test_aot_dispatch_dynamic: If the operator has correct behavior
2025-06-01T21:26:28.0018190Z       with PyTorch compilation APIs (torch.compile/export/FX).
2025-06-01T21:26:28.0018480Z       This checks that the outputs (and gradients, if applicable) are the
2025-06-01T21:26:28.0018770Z       same under eager-mode PyTorch and torch.compile.
2025-06-01T21:26:28.0019080Z       This test is a superset of ``test_faketensor`` and is an e2e test;
2025-06-01T21:26:28.0019360Z       other things it tests are that the operator supports
2025-06-01T21:26:28.0019650Z       functionalization and that the backward pass (if it exists) also
2025-06-01T21:26:28.0019920Z       supports FakeTensor and functionalization.
2025-06-01T21:26:28.0020070Z 
2025-06-01T21:26:28.0020190Z     For best results, please call ``opcheck`` multiple times with a
2025-06-01T21:26:28.0020490Z     representative set of inputs. If your operator supports
2025-06-01T21:26:28.0020800Z     autograd, please use ``opcheck`` with inputs with ``requires_grad = True``;
2025-06-01T21:26:28.0021150Z     if your operator supports multiple devices (e.g. CPU and CUDA), please
2025-06-01T21:26:28.0021460Z     use ``opcheck`` with inputs on all supported devices.
2025-06-01T21:26:28.0021620Z 
2025-06-01T21:26:28.0021670Z     Args:
2025-06-01T21:26:28.0021850Z         op: The operator. Must either be a function decorated with
2025-06-01T21:26:28.0022220Z             :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket
2025-06-01T21:26:28.0022550Z             found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo)
2025-06-01T21:26:28.0022820Z         args: The args to the operator
2025-06-01T21:26:28.0023010Z         kwargs: The kwargs to the operator
2025-06-01T21:26:28.0023250Z         test_utils: Tests that we should run. Default: all of them.
2025-06-01T21:26:28.0023520Z             Example: ("test_schema", "test_faketensor")
2025-06-01T21:26:28.0023780Z         raise_exception: If we should raise an exception on the first
2025-06-01T21:26:28.0024100Z             error. If False, we will return a dict with information
2025-06-01T21:26:28.0024360Z             on if each test passed or not.
2025-06-01T21:26:28.0024640Z         rtol (Optional[float]): Relative tolerance for floating point comparisons.
2025-06-01T21:26:28.0024930Z             If specified ``atol`` must also be specified.
2025-06-01T21:26:28.0025200Z             If omitted, default values based on the ``dtype`` are selected
2025-06-01T21:26:28.0025490Z             (see the table in :func:`torch.testing.assert_close`).
2025-06-01T21:26:28.0025810Z         atol (Optional[float]): Absolute tolerance for floating point comparisons.
2025-06-01T21:26:28.0026100Z             If specified ``rtol`` must also be specified.
2025-06-01T21:26:28.0026390Z             If omitted, default values based on the ``dtype`` are selected
2025-06-01T21:26:28.0026710Z             (see the table in :func:`torch.testing.assert_close`).
2025-06-01T21:26:28.0026910Z 
2025-06-01T21:26:28.0026960Z     .. warning::
2025-06-01T21:26:28.0027060Z 
2025-06-01T21:26:28.0027190Z         opcheck and :func:`torch.autograd.gradcheck` test different things;
2025-06-01T21:26:28.0027550Z         opcheck tests if your usage of torch.library APIs is correct while
2025-06-01T21:26:28.0027870Z         :func:`torch.autograd.gradcheck` tests if your autograd formula is
2025-06-01T21:26:28.0028200Z         mathematically correct. Use both to test custom ops that support
2025-06-01T21:26:28.0028440Z         gradient computation.
2025-06-01T21:26:28.0028560Z 
2025-06-01T21:26:28.0028600Z     Example:
2025-06-01T21:26:28.0028680Z 
2025-06-01T21:26:28.0028760Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-06-01T21:26:28.0029030Z         >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-06-01T21:26:28.0029310Z         >>> def numpy_mul(x: Tensor, y: float) -> Tensor:
2025-06-01T21:26:28.0029520Z         >>>     x_np = x.numpy(force=True)
2025-06-01T21:26:28.0029700Z         >>>     z_np = x_np * y
2025-06-01T21:26:28.0029890Z         >>>     return torch.from_numpy(z_np).to(x.device)
2025-06-01T21:26:28.0030080Z         >>>
2025-06-01T21:26:28.0030200Z         >>> @numpy_mul.register_fake
2025-06-01T21:26:28.0030370Z         >>> def _(x, y):
2025-06-01T21:26:28.0030530Z         >>>     return torch.empty_like(x)
2025-06-01T21:26:28.0030710Z         >>>
2025-06-01T21:26:28.0030840Z         >>> def setup_context(ctx, inputs, output):
2025-06-01T21:26:28.0031030Z         >>>     y, = inputs
2025-06-01T21:26:28.0031180Z         >>>     ctx.y = y
2025-06-01T21:26:28.0031320Z         >>>
2025-06-01T21:26:28.0031440Z         >>> def backward(ctx, grad):
2025-06-01T21:26:28.0031610Z         >>>     return grad * ctx.y, None
2025-06-01T21:26:28.0031780Z         >>>
2025-06-01T21:26:28.0031980Z         >>> numpy_mul.register_autograd(backward, setup_context=setup_context)
2025-06-01T21:26:28.0032220Z         >>>
2025-06-01T21:26:28.0032340Z         >>> sample_inputs = [
2025-06-01T21:26:28.0032510Z         >>>     (torch.randn(3), 3.14),
2025-06-01T21:26:28.0032710Z         >>>     (torch.randn(2, 3, device='cuda'), 2.718),
2025-06-01T21:26:28.0032950Z         >>>     (torch.randn(1, 10, requires_grad=True), 1.234),
2025-06-01T21:26:28.0033210Z         >>>     (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18),
2025-06-01T21:26:28.0033440Z         >>> ]
2025-06-01T21:26:28.0033630Z         >>>
2025-06-01T21:26:28.0033760Z         >>> for args in sample_inputs:
2025-06-01T21:26:28.0033970Z         >>>     torch.library.opcheck(numpy_mul, args)
2025-06-01T21:26:28.0034110Z 
2025-06-01T21:26:28.0034160Z     
2025-06-01T21:26:28.0034370Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.0034580Z 
2025-06-01T21:26:28.0034970Z msg = Cannot scrape callname=Tensor.dim_order in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py line=1509.
2025-06-01T21:26:28.0035590Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.0035840Z 
2025-06-01T21:26:28.0035910Z dim_order(ambiguity_check=False) -> tuple
2025-06-01T21:26:28.0036050Z 
2025-06-01T21:26:28.0036180Z Returns the uniquely determined tuple of int describing the dim order or
2025-06-01T21:26:28.0036450Z physical layout of :attr:`self`.
2025-06-01T21:26:28.0036570Z 
2025-06-01T21:26:28.0036720Z The dim order represents how dimensions are laid out in memory of dense tensors,
2025-06-01T21:26:28.0037040Z starting from the outermost to the innermost dimension.
2025-06-01T21:26:28.0037200Z 
2025-06-01T21:26:28.0037320Z Note that the dim order may not always be uniquely determined.
2025-06-01T21:26:28.0037720Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined;
2025-06-01T21:26:28.0038280Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted
2025-06-01T21:26:28.0038730Z into exactly one of the given memory formats, or it cannot be uniquely determined.
2025-06-01T21:26:28.0039140Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness.
2025-06-01T21:26:28.0039460Z Otherwise, it will raise TypeError.
2025-06-01T21:26:28.0039590Z 
2025-06-01T21:26:28.0039630Z Args:
2025-06-01T21:26:28.0039880Z     ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order.
2025-06-01T21:26:28.0040140Z 
2025-06-01T21:26:28.0040190Z Examples::
2025-06-01T21:26:28.0040270Z 
2025-06-01T21:26:28.0040330Z     >>> torch.empty((2, 3, 5, 7)).dim_order()
2025-06-01T21:26:28.0040500Z     (0, 1, 2, 3)
2025-06-01T21:26:28.0040680Z     >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order()
2025-06-01T21:26:28.0040880Z     (0, 2, 1, 3)
2025-06-01T21:26:28.0041080Z     >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order()
2025-06-01T21:26:28.0041310Z     (0, 2, 3, 1)
2025-06-01T21:26:28.0041450Z     >>> torch.empty((1, 2, 3, 4)).dim_order()
2025-06-01T21:26:28.0041630Z     (0, 1, 2, 3)
2025-06-01T21:26:28.0041750Z     >>> try:
2025-06-01T21:26:28.0041920Z     ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True)
2025-06-01T21:26:28.0042150Z     ... except RuntimeError as e:
2025-06-01T21:26:28.0042310Z     ...     print(e)
2025-06-01T21:26:28.0042590Z     The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
2025-06-01T21:26:28.0042900Z     >>> torch.empty((1, 2, 3, 4)).dim_order(
2025-06-01T21:26:28.0043160Z     ...     ambiguity_check=[torch.contiguous_format, torch.channels_last]
2025-06-01T21:26:28.0043430Z     ... )  # It can be mapped to contiguous format
2025-06-01T21:26:28.0043610Z     (0, 1, 2, 3)
2025-06-01T21:26:28.0043730Z     >>> try:
2025-06-01T21:26:28.0043910Z     ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL")
2025-06-01T21:26:28.0044140Z     ... except TypeError as e:
2025-06-01T21:26:28.0044300Z     ...     print(e)
2025-06-01T21:26:28.0044520Z     The ambiguity_check argument must be a bool or a list of memory formats.
2025-06-01T21:26:28.0044730Z 
2025-06-01T21:26:28.0044770Z .. warning::
2025-06-01T21:26:28.0044950Z     The dim_order tensor API is experimental and subject to change.
2025-06-01T21:26:28.0045140Z 
2025-06-01T21:26:28.0045290Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.0045540Z 
2025-06-01T21:26:28.0045890Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/hub.py line=560.
2025-06-01T21:26:28.0046450Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.0046670Z 
2025-06-01T21:26:28.0046770Z Load a model from a github repo or a local directory.
2025-06-01T21:26:28.0046930Z 
2025-06-01T21:26:28.0047060Z Note: Loading a model is the typical use case, but this can also be used to
2025-06-01T21:26:28.0047410Z for loading other objects such as tokenizers, loss functions, etc.
2025-06-01T21:26:28.0047620Z 
2025-06-01T21:26:28.0047720Z If ``source`` is 'github', ``repo_or_dir`` is expected to be
2025-06-01T21:26:28.0047980Z of the form ``repo_owner/repo_name[:ref]`` with an optional
2025-06-01T21:26:28.0048200Z ref (a tag or a branch).
2025-06-01T21:26:28.0048300Z 
2025-06-01T21:26:28.0048400Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a
2025-06-01T21:26:28.0048630Z path to a local directory.
2025-06-01T21:26:28.0048730Z 
2025-06-01T21:26:28.0048770Z Args:
2025-06-01T21:26:28.0048910Z     repo_or_dir (str): If ``source`` is 'github',
2025-06-01T21:26:28.0049230Z         this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
2025-06-01T21:26:28.0049720Z         an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
2025-06-01T21:26:28.0050130Z         the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
2025-06-01T21:26:28.0050490Z         If ``source`` is 'local'  then it should be a path to a local directory.
2025-06-01T21:26:28.0050790Z     model (str): the name of a callable (entrypoint) defined in the
2025-06-01T21:26:28.0051030Z         repo/dir's ``hubconf.py``.
2025-06-01T21:26:28.0051270Z     *args (optional): the corresponding args for callable ``model``.
2025-06-01T21:26:28.0051570Z     source (str, optional): 'github' or 'local'. Specifies how
2025-06-01T21:26:28.0051840Z         ``repo_or_dir`` is to be interpreted. Default is 'github'.
2025-06-01T21:26:28.0052140Z     trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
2025-06-01T21:26:28.0052480Z         This parameter was introduced in v1.12 and helps ensuring that users
2025-06-01T21:26:28.0052750Z         only run code from repos that they trust.
2025-06-01T21:26:28.0052890Z 
2025-06-01T21:26:28.0053020Z         - If ``False``, a prompt will ask the user whether the repo should
2025-06-01T21:26:28.0053250Z           be trusted.
2025-06-01T21:26:28.0053460Z         - If ``True``, the repo will be added to the trusted list and loaded
2025-06-01T21:26:28.0053710Z           without requiring explicit confirmation.
2025-06-01T21:26:28.0053960Z         - If ``"check"``, the repo will be checked against the list of
2025-06-01T21:26:28.0054250Z           trusted repos in the cache. If it is not present in that list, the
2025-06-01T21:26:28.0054570Z           behaviour will fall back onto the ``trust_repo=False`` option.
2025-06-01T21:26:28.0054860Z         - If ``None``: this will raise a warning, inviting the user to set
2025-06-01T21:26:28.0055150Z           ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
2025-06-01T21:26:28.0055460Z           is only present for backward compatibility and will be removed in
2025-06-01T21:26:28.0055690Z           v2.0.
2025-06-01T21:26:28.0055770Z 
2025-06-01T21:26:28.0055900Z         Default is ``None`` and will eventually change to ``"check"`` in v2.0.
2025-06-01T21:26:28.0056220Z     force_reload (bool, optional): whether to force a fresh download of
2025-06-01T21:26:28.0056530Z         the github repo unconditionally. Does not have any effect if
2025-06-01T21:26:28.0056790Z         ``source = 'local'``. Default is ``False``.
2025-06-01T21:26:28.0057060Z     verbose (bool, optional): If ``False``, mute messages about hitting
2025-06-01T21:26:28.0057440Z         local caches. Note that the message about first download cannot be
2025-06-01T21:26:28.0057730Z         muted. Does not have any effect if ``source = 'local'``.
2025-06-01T21:26:28.0057950Z         Default is ``True``.
2025-06-01T21:26:28.0058230Z     skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
2025-06-01T21:26:28.0058650Z         specified by the ``github`` argument properly belongs to the repo owner. This will make
2025-06-01T21:26:28.0059050Z         requests to the GitHub API; you can specify a non-default GitHub token by setting the
2025-06-01T21:26:28.0059420Z         ``GITHUB_TOKEN`` environment variable. Default is ``False``.
2025-06-01T21:26:28.0059760Z     **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-06-01T21:26:28.0059950Z 
2025-06-01T21:26:28.0060000Z Returns:
2025-06-01T21:26:28.0060180Z     The output of the ``model`` callable when called with the given
2025-06-01T21:26:28.0060410Z     ``*args`` and ``**kwargs``.
2025-06-01T21:26:28.0060520Z 
2025-06-01T21:26:28.0060560Z Example:
2025-06-01T21:26:28.0060710Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-06-01T21:26:28.0060900Z     >>> # from a github repo
2025-06-01T21:26:28.0061060Z     >>> repo = "pytorch/vision"
2025-06-01T21:26:28.0061220Z     >>> model = torch.hub.load(
2025-06-01T21:26:28.0061440Z     ...     repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
2025-06-01T21:26:28.0061670Z     ... )
2025-06-01T21:26:28.0061820Z     >>> # from a local directory
2025-06-01T21:26:28.0062010Z     >>> path = "/some/local/path/pytorch/vision"
2025-06-01T21:26:28.0062200Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:28.0062450Z     >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
2025-06-01T21:26:28.0062660Z 
2025-06-01T21:26:28.0062810Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.0801210Z 
2025-06-01T21:26:28.0801890Z msg = Cannot scrape callname=_load_local in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/hub.py line=652.
2025-06-01T21:26:28.0802620Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.0802860Z 
2025-06-01T21:26:28.0802980Z Load a model from a local directory with a ``hubconf.py``.
2025-06-01T21:26:28.0803160Z 
2025-06-01T21:26:28.0803200Z Args:
2025-06-01T21:26:28.0803400Z     hubconf_dir (str): path to a local directory that contains a
2025-06-01T21:26:28.0803650Z         ``hubconf.py``.
2025-06-01T21:26:28.0803860Z     model (str): name of an entrypoint defined in the directory's
2025-06-01T21:26:28.0804100Z         ``hubconf.py``.
2025-06-01T21:26:28.0804320Z     *args (optional): the corresponding args for callable ``model``.
2025-06-01T21:26:28.0804650Z     **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-06-01T21:26:28.0804850Z 
2025-06-01T21:26:28.0804900Z Returns:
2025-06-01T21:26:28.0805080Z     a single model with corresponding pretrained weights.
2025-06-01T21:26:28.0805240Z 
2025-06-01T21:26:28.0805290Z Example:
2025-06-01T21:26:28.0805430Z     >>> # xdoctest: +SKIP("stub local path")
2025-06-01T21:26:28.0805640Z     >>> path = "/some/local/path/pytorch/vision"
2025-06-01T21:26:28.0805840Z     >>> model = _load_local(
2025-06-01T21:26:28.0805990Z     ...     path,
2025-06-01T21:26:28.0806110Z     ...     "resnet50",
2025-06-01T21:26:28.0806290Z     ...     weights="ResNet50_Weights.IMAGENET1K_V1",
2025-06-01T21:26:28.0806480Z     ... )
2025-06-01T21:26:28.0806550Z 
2025-06-01T21:26:28.0806700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.0806920Z 
2025-06-01T21:26:28.0807300Z msg = Cannot scrape callname=download_url_to_file in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/hub.py line=691.
2025-06-01T21:26:28.0807890Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.0808470Z Download object at the given URL to a local path.
2025-06-01T21:26:28.0808620Z 
2025-06-01T21:26:28.0808660Z     Args:
2025-06-01T21:26:28.0808800Z         url (str): URL of the object to download
2025-06-01T21:26:28.0809080Z         dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
2025-06-01T21:26:28.0809480Z         hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
2025-06-01T21:26:28.0809800Z             Default: None
2025-06-01T21:26:28.0810140Z         progress (bool, optional): whether or not to display a progress bar to stderr
2025-06-01T21:26:28.0810450Z             Default: True
2025-06-01T21:26:28.0810550Z 
2025-06-01T21:26:28.0810590Z     Example:
2025-06-01T21:26:28.0810750Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-06-01T21:26:28.0810960Z         >>> # xdoctest: +REQUIRES(POSIX)
2025-06-01T21:26:28.0811160Z         >>> torch.hub.download_url_to_file(
2025-06-01T21:26:28.0811440Z         ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
2025-06-01T21:26:28.0811700Z         ...     "/tmp/temporary_file",
2025-06-01T21:26:28.0811870Z         ... )
2025-06-01T21:26:28.0811940Z 
2025-06-01T21:26:28.0811980Z     
2025-06-01T21:26:28.0812190Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.0812400Z 
2025-06-01T21:26:28.0812860Z msg = Cannot scrape callname=load_state_dict_from_url in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/hub.py line=816.
2025-06-01T21:26:28.0813470Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.0813780Z Loads the Torch serialized object at the given URL.
2025-06-01T21:26:28.0813940Z 
2025-06-01T21:26:28.0814110Z     If downloaded file is a zip file, it will be automatically
2025-06-01T21:26:28.0814350Z     decompressed.
2025-06-01T21:26:28.0814480Z 
2025-06-01T21:26:28.0814630Z     If the object is already present in `model_dir`, it's deserialized and
2025-06-01T21:26:28.0814890Z     returned.
2025-06-01T21:26:28.0821800Z     The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
2025-06-01T21:26:28.0822140Z     ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
2025-06-01T21:26:28.0822330Z 
2025-06-01T21:26:28.0822370Z     Args:
2025-06-01T21:26:28.0822520Z         url (str): URL of the object to download
2025-06-01T21:26:28.0822810Z         model_dir (str, optional): directory in which to save the object
2025-06-01T21:26:28.0823200Z         map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load)
2025-06-01T21:26:28.0823630Z         progress (bool, optional): whether or not to display a progress bar to stderr.
2025-06-01T21:26:28.0823900Z             Default: True
2025-06-01T21:26:28.0824190Z         check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
2025-06-01T21:26:28.0824590Z             ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
2025-06-01T21:26:28.0824920Z             digits of the SHA256 hash of the contents of the file. The hash is used to
2025-06-01T21:26:28.0825240Z             ensure unique names and to verify the contents of the file.
2025-06-01T21:26:28.0825470Z             Default: False
2025-06-01T21:26:28.0825760Z         file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
2025-06-01T21:26:28.0826200Z         weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
2025-06-01T21:26:28.0826590Z             Recommended for untrusted sources. See :func:`~torch.load` for more details.
2025-06-01T21:26:28.0826900Z 
2025-06-01T21:26:28.0826940Z     Example:
2025-06-01T21:26:28.0827100Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-06-01T21:26:28.0827350Z         >>> state_dict = torch.hub.load_state_dict_from_url(
2025-06-01T21:26:28.0827760Z         ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
2025-06-01T21:26:28.0828000Z         ... )
2025-06-01T21:26:28.0828080Z 
2025-06-01T21:26:28.0828120Z     
2025-06-01T21:26:28.0828330Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.0828540Z 
2025-06-01T21:26:28.0828920Z msg = Cannot scrape callname=meshgrid in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py line=446.
2025-06-01T21:26:28.0829540Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.0829940Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors.
2025-06-01T21:26:28.0830150Z 
2025-06-01T21:26:28.0830260Z         This is helpful when you want to visualize data over some
2025-06-01T21:26:28.0830530Z         range of inputs. See below for a plotting example.
2025-06-01T21:26:28.0830690Z 
2025-06-01T21:26:28.0830790Z         Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as
2025-06-01T21:26:28.0831090Z         inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`,
2025-06-01T21:26:28.0831380Z         this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots
2025-06-01T21:26:28.0831660Z         G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where
2025-06-01T21:26:28.0831940Z         the output :math:`G_i` is constructed by expanding :math:`T_i`
2025-06-01T21:26:28.0832220Z         to the result shape.
2025-06-01T21:26:28.0832330Z 
2025-06-01T21:26:28.0832410Z         .. note::
2025-06-01T21:26:28.0832600Z             0D inputs are treated equivalently to 1D inputs of a
2025-06-01T21:26:28.0832820Z             single element.
2025-06-01T21:26:28.0832920Z 
2025-06-01T21:26:28.0832960Z         .. warning::
2025-06-01T21:26:28.0833170Z             `torch.meshgrid(*tensors)` currently has the same behavior
2025-06-01T21:26:28.0833440Z             as calling `numpy.meshgrid(*arrays, indexing='ij')`.
2025-06-01T21:26:28.0833610Z 
2025-06-01T21:26:28.0833700Z             In the future `torch.meshgrid` will transition to
2025-06-01T21:26:28.0833930Z             `indexing='xy'` as the default.
2025-06-01T21:26:28.0834060Z 
2025-06-01T21:26:28.0834170Z             https://github.com/pytorch/pytorch/issues/50276 tracks
2025-06-01T21:26:28.0834460Z             this issue with the goal of migrating to NumPy's behavior.
2025-06-01T21:26:28.0834630Z 
2025-06-01T21:26:28.0834680Z         .. seealso::
2025-06-01T21:26:28.0834760Z 
2025-06-01T21:26:28.0834880Z             :func:`torch.cartesian_prod` has the same effect but it
2025-06-01T21:26:28.0835130Z             collects the data in a tensor of vectors.
2025-06-01T21:26:28.0835270Z 
2025-06-01T21:26:28.0835310Z         Args:
2025-06-01T21:26:28.0835540Z             tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be
2025-06-01T21:26:28.0835870Z                 treated as tensors of size :math:`(1,)` automatically
2025-06-01T21:26:28.0836040Z 
2025-06-01T21:26:28.0836140Z             indexing: (str, optional): the indexing mode, either "xy"
2025-06-01T21:26:28.0836420Z                 or "ij", defaults to "ij". See warning for future changes.
2025-06-01T21:26:28.0836590Z 
2025-06-01T21:26:28.0836690Z                 If "xy" is selected, the first dimension corresponds
2025-06-01T21:26:28.0836960Z                 to the cardinality of the second input and the second
2025-06-01T21:26:28.0837230Z                 dimension corresponds to the cardinality of the first
2025-06-01T21:26:28.0837440Z                 input.
2025-06-01T21:26:28.0837530Z 
2025-06-01T21:26:28.0837620Z                 If "ij" is selected, the dimensions are in the same
2025-06-01T21:26:28.0837850Z                 order as the cardinality of the inputs.
2025-06-01T21:26:28.0838000Z 
2025-06-01T21:26:28.0838050Z         Returns:
2025-06-01T21:26:28.0838220Z             seq (sequence of Tensors): If the input has :math:`N`
2025-06-01T21:26:28.0838530Z             tensors of size :math:`S_0 \ldots S_{N-1}``, then the
2025-06-01T21:26:28.0838800Z             output will also have :math:`N` tensors, where each tensor
2025-06-01T21:26:28.0839050Z             is of shape :math:`(S_0, ..., S_{N-1})`.
2025-06-01T21:26:28.0839190Z 
2025-06-01T21:26:28.0839230Z         Example::
2025-06-01T21:26:28.0839310Z 
2025-06-01T21:26:28.0839370Z             >>> x = torch.tensor([1, 2, 3])
2025-06-01T21:26:28.0839570Z             >>> y = torch.tensor([4, 5, 6])
2025-06-01T21:26:28.0839700Z 
2025-06-01T21:26:28.0839830Z             Observe the element-wise pairings across the grid, (1, 4),
2025-06-01T21:26:28.0840110Z             (1, 5), ..., (3, 6). This is the same thing as the
2025-06-01T21:26:28.0840310Z             cartesian product.
2025-06-01T21:26:28.0840530Z             >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij')
2025-06-01T21:26:28.0840730Z             >>> grid_x
2025-06-01T21:26:28.0840870Z             tensor([[1, 1, 1],
2025-06-01T21:26:28.0841030Z                     [2, 2, 2],
2025-06-01T21:26:28.0841180Z                     [3, 3, 3]])
2025-06-01T21:26:28.0841330Z             >>> grid_y
2025-06-01T21:26:28.0841470Z             tensor([[4, 5, 6],
2025-06-01T21:26:28.0841620Z                     [4, 5, 6],
2025-06-01T21:26:28.0841770Z                     [4, 5, 6]])
2025-06-01T21:26:28.0841870Z 
2025-06-01T21:26:28.0841970Z             This correspondence can be seen when these grids are
2025-06-01T21:26:28.0842240Z             stacked properly.
2025-06-01T21:26:28.0842480Z             >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))),
2025-06-01T21:26:28.0842760Z             ...             torch.cartesian_prod(x, y))
2025-06-01T21:26:28.0842950Z             True
2025-06-01T21:26:28.0843020Z 
2025-06-01T21:26:28.0843130Z             `torch.meshgrid` is commonly used to produce a grid for
2025-06-01T21:26:28.0843350Z             plotting.
2025-06-01T21:26:28.0843530Z             >>> # xdoctest: +REQUIRES(module:matplotlib)
2025-06-01T21:26:28.0843750Z             >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW)
2025-06-01T21:26:28.0843970Z             >>> import matplotlib.pyplot as plt
2025-06-01T21:26:28.0844270Z             >>> xs = torch.linspace(-5, 5, steps=100)
2025-06-01T21:26:28.0844490Z             >>> ys = torch.linspace(-5, 5, steps=100)
2025-06-01T21:26:28.0844720Z             >>> x, y = torch.meshgrid(xs, ys, indexing='xy')
2025-06-01T21:26:28.0844940Z             >>> z = torch.sin(torch.sqrt(x * x + y * y))
2025-06-01T21:26:28.0845150Z             >>> ax = plt.axes(projection='3d')
2025-06-01T21:26:28.0845380Z             >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy())
2025-06-01T21:26:28.0845600Z             >>> plt.show()
2025-06-01T21:26:28.0845700Z 
2025-06-01T21:26:28.0845770Z         .. image:: ../_static/img/meshgrid.png
2025-06-01T21:26:28.0845950Z             :width: 512
2025-06-01T21:26:28.0846040Z 
2025-06-01T21:26:28.0846090Z         
2025-06-01T21:26:28.0846300Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.0846520Z 
2025-06-01T21:26:28.0846900Z msg = Cannot scrape callname=_unique_impl in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py line=842.
2025-06-01T21:26:28.0847490Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.0847930Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor]
2025-06-01T21:26:28.0848210Z 
2025-06-01T21:26:28.0848300Z     Returns the unique elements of the input tensor.
2025-06-01T21:26:28.0848440Z 
2025-06-01T21:26:28.0848610Z     .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that
2025-06-01T21:26:28.0848970Z         this function also eliminates non-consecutive duplicate values.
2025-06-01T21:26:28.0849150Z 
2025-06-01T21:26:28.0849290Z     .. note:: Currently in the CUDA implementation and the CPU implementation,
2025-06-01T21:26:28.0849720Z         `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument.
2025-06-01T21:26:28.0850120Z         Sorting could be slow, so if your input tensor is already sorted, it is recommended to use
2025-06-01T21:26:28.0850450Z         :func:`torch.unique_consecutive` which avoids the sorting.
2025-06-01T21:26:28.0850620Z 
2025-06-01T21:26:28.0850660Z     Args:
2025-06-01T21:26:28.0850790Z         input (Tensor): the input tensor
2025-06-01T21:26:28.0851040Z         sorted (bool): Whether to sort the unique elements in ascending order
2025-06-01T21:26:28.0851340Z             before returning as output.
2025-06-01T21:26:28.0851620Z         return_inverse (bool): Whether to also return the indices for where
2025-06-01T21:26:28.0851940Z             elements in the original input ended up in the returned unique list.
2025-06-01T21:26:28.0852260Z         return_counts (bool): Whether to also return the counts for each unique
2025-06-01T21:26:28.0852500Z             element.
2025-06-01T21:26:28.0852710Z         dim (int, optional): the dimension to operate upon. If ``None``, the
2025-06-01T21:26:28.0853020Z             unique of the flattened input is returned. Otherwise, each of the
2025-06-01T21:26:28.0853320Z             tensors indexed by the given dimension is treated as one of the
2025-06-01T21:26:28.0853620Z             elements to apply the unique operation upon. See examples for more
2025-06-01T21:26:28.0853910Z             details. Default: ``None``
2025-06-01T21:26:28.0854030Z 
2025-06-01T21:26:28.0854080Z     Returns:
2025-06-01T21:26:28.0854320Z         (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing
2025-06-01T21:26:28.0854540Z 
2025-06-01T21:26:28.0854660Z             - **output** (*Tensor*): the output list of unique scalar elements.
2025-06-01T21:26:28.0854970Z             - **inverse_indices** (*Tensor*): (optional) if
2025-06-01T21:26:28.0855240Z               :attr:`return_inverse` is True, there will be an additional
2025-06-01T21:26:28.0855560Z               returned tensor (same shape as input) representing the indices
2025-06-01T21:26:28.0855870Z               for where elements in the original input map to in the output;
2025-06-01T21:26:28.0856170Z               otherwise, this function will only return a single tensor.
2025-06-01T21:26:28.0856420Z             - **counts** (*Tensor*): (optional) if
2025-06-01T21:26:28.0856660Z               :attr:`return_counts` is True, there will be an additional
2025-06-01T21:26:28.0856940Z               returned tensor (same shape as output or output.size(dim),
2025-06-01T21:26:28.0857230Z               if dim was specified) representing the number of occurrences
2025-06-01T21:26:28.0857470Z               for each unique value or tensor.
2025-06-01T21:26:28.0857610Z 
2025-06-01T21:26:28.0857650Z     Example::
2025-06-01T21:26:28.0857730Z 
2025-06-01T21:26:28.0857860Z         >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long))
2025-06-01T21:26:28.0858110Z         >>> output
2025-06-01T21:26:28.0858240Z         tensor([1, 2, 3])
2025-06-01T21:26:28.0858340Z 
2025-06-01T21:26:28.0858420Z         >>> output, inverse_indices = torch.unique(
2025-06-01T21:26:28.0858710Z         ...     torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True)
2025-06-01T21:26:28.0858970Z         >>> output
2025-06-01T21:26:28.0859090Z         tensor([1, 2, 3])
2025-06-01T21:26:28.0859240Z         >>> inverse_indices
2025-06-01T21:26:28.0859380Z         tensor([0, 2, 1, 2])
2025-06-01T21:26:28.0859480Z 
2025-06-01T21:26:28.0859550Z         >>> output, inverse_indices = torch.unique(
2025-06-01T21:26:28.0859840Z         ...     torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True)
2025-06-01T21:26:28.0860090Z         >>> output
2025-06-01T21:26:28.0860220Z         tensor([1, 2, 3])
2025-06-01T21:26:28.0860360Z         >>> inverse_indices
2025-06-01T21:26:28.0860500Z         tensor([[0, 2],
2025-06-01T21:26:28.0860700Z                 [1, 2]])
2025-06-01T21:26:28.0860790Z 
2025-06-01T21:26:28.0860840Z         >>> a = torch.tensor([
2025-06-01T21:26:28.0860980Z         ...     [
2025-06-01T21:26:28.0861110Z         ...         [1, 1, 0, 0],
2025-06-01T21:26:28.0861260Z         ...         [1, 1, 0, 0],
2025-06-01T21:26:28.0861410Z         ...         [0, 0, 1, 1],
2025-06-01T21:26:28.0861550Z         ...     ],
2025-06-01T21:26:28.0861670Z         ...     [
2025-06-01T21:26:28.0861790Z         ...         [0, 0, 1, 1],
2025-06-01T21:26:28.0861950Z         ...         [0, 0, 1, 1],
2025-06-01T21:26:28.0862100Z         ...         [1, 1, 1, 1],
2025-06-01T21:26:28.0862260Z         ...     ],
2025-06-01T21:26:28.0862400Z         ...     [
2025-06-01T21:26:28.0862520Z         ...         [1, 1, 0, 0],
2025-06-01T21:26:28.0862670Z         ...         [1, 1, 0, 0],
2025-06-01T21:26:28.0862820Z         ...         [0, 0, 1, 1],
2025-06-01T21:26:28.0862960Z         ...     ],
2025-06-01T21:26:28.0863080Z         ... ])
2025-06-01T21:26:28.0863140Z 
2025-06-01T21:26:28.0863280Z         >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]`
2025-06-01T21:26:28.0863590Z         >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match
2025-06-01T21:26:28.0863950Z         >>> # each other, so one of them will be removed.
2025-06-01T21:26:28.0864160Z         >>> (a[0, :, :] == a[2, :, :]).all()
2025-06-01T21:26:28.0864350Z         tensor(True)
2025-06-01T21:26:28.0864550Z         >>> a_unique_dim0 = torch.unique(a, dim=0)
2025-06-01T21:26:28.0864750Z         >>> a_unique_dim0
2025-06-01T21:26:28.0864900Z         tensor([[[0, 0, 1, 1],
2025-06-01T21:26:28.0865060Z                  [0, 0, 1, 1],
2025-06-01T21:26:28.0865210Z                  [1, 1, 1, 1]],
2025-06-01T21:26:28.0865360Z                 [[1, 1, 0, 0],
2025-06-01T21:26:28.0865500Z                  [1, 1, 0, 0],
2025-06-01T21:26:28.0865650Z                  [0, 0, 1, 1]]])
2025-06-01T21:26:28.0865760Z 
2025-06-01T21:26:28.0865890Z         >>> # Notice which sub-tensors from `a` match with the sub-tensors from
2025-06-01T21:26:28.0866140Z         >>> # `a_unique_dim0`:
2025-06-01T21:26:28.0866320Z         >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all()
2025-06-01T21:26:28.0866500Z         tensor(True)
2025-06-01T21:26:28.0866660Z         >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all()
2025-06-01T21:26:28.0866840Z         tensor(True)
2025-06-01T21:26:28.0866930Z 
2025-06-01T21:26:28.0867060Z         >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are
2025-06-01T21:26:28.0867370Z         >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of
2025-06-01T21:26:28.0867600Z         >>> # them will be removed.
2025-06-01T21:26:28.0867780Z         >>> (a[:, 0, :] == a[:, 1, :]).all()
2025-06-01T21:26:28.0867940Z         tensor(True)
2025-06-01T21:26:28.0868080Z         >>> torch.unique(a, dim=1)
2025-06-01T21:26:28.0868250Z         tensor([[[0, 0, 1, 1],
2025-06-01T21:26:28.0868400Z                  [1, 1, 0, 0]],
2025-06-01T21:26:28.0868550Z                 [[1, 1, 1, 1],
2025-06-01T21:26:28.0868700Z                  [0, 0, 1, 1]],
2025-06-01T21:26:28.0868840Z                 [[0, 0, 1, 1],
2025-06-01T21:26:28.0869000Z                  [1, 1, 0, 0]]])
2025-06-01T21:26:28.0869100Z 
2025-06-01T21:26:28.0869230Z         >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared.
2025-06-01T21:26:28.0869530Z         >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and
2025-06-01T21:26:28.0869790Z         >>> # `a[:, :, 3]` match each other as well. So in this case, two of the
2025-06-01T21:26:28.0870040Z         >>> # sub-tensors will be removed.
2025-06-01T21:26:28.0870230Z         >>> (a[:, :, 0] == a[:, :, 1]).all()
2025-06-01T21:26:28.0870400Z         tensor(True)
2025-06-01T21:26:28.0870540Z         >>> (a[:, :, 2] == a[:, :, 3]).all()
2025-06-01T21:26:28.0870710Z         tensor(True)
2025-06-01T21:26:28.0870850Z         >>> torch.unique(a, dim=2)
2025-06-01T21:26:28.0871060Z         tensor([[[0, 1],
2025-06-01T21:26:28.0871190Z                  [0, 1],
2025-06-01T21:26:28.0871330Z                  [1, 0]],
2025-06-01T21:26:28.0871510Z                 [[1, 0],
2025-06-01T21:26:28.0871640Z                  [1, 0],
2025-06-01T21:26:28.0871770Z                  [1, 1]],
2025-06-01T21:26:28.0871910Z                 [[0, 1],
2025-06-01T21:26:28.0872040Z                  [0, 1],
2025-06-01T21:26:28.0872170Z                  [1, 0]]])
2025-06-01T21:26:28.0872310Z     
2025-06-01T21:26:28.0872520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.1803800Z 
2025-06-01T21:26:28.1804550Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/serialization.py line=1285.
2025-06-01T21:26:28.1805250Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.1805680Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args)
2025-06-01T21:26:28.1805960Z 
2025-06-01T21:26:28.1806070Z     Loads an object saved with :func:`torch.save` from a file.
2025-06-01T21:26:28.1806250Z 
2025-06-01T21:26:28.1806400Z     :func:`torch.load` uses Python's unpickling facilities but treats storages,
2025-06-01T21:26:28.1806760Z     which underlie tensors, specially. They are first deserialized on the
2025-06-01T21:26:28.1807210Z     CPU and are then moved to the device they were saved from. If this fails
2025-06-01T21:26:28.1807570Z     (e.g. because the run time system doesn't have certain devices), an exception
2025-06-01T21:26:28.1807930Z     is raised. However, storages can be dynamically remapped to an alternative
2025-06-01T21:26:28.1808240Z     set of devices using the :attr:`map_location` argument.
2025-06-01T21:26:28.1808410Z 
2025-06-01T21:26:28.1808560Z     If :attr:`map_location` is a callable, it will be called once for each serialized
2025-06-01T21:26:28.1808910Z     storage with two arguments: storage and location. The storage argument
2025-06-01T21:26:28.1809240Z     will be the initial deserialization of the storage, residing on the CPU.
2025-06-01T21:26:28.1809580Z     Each serialized storage has a location tag associated with it which
2025-06-01T21:26:28.1809900Z     identifies the device it was saved from, and this tag is the second
2025-06-01T21:26:28.1810250Z     argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'``
2025-06-01T21:26:28.1810600Z     for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors.
2025-06-01T21:26:28.1810930Z     :attr:`map_location` should return either ``None`` or a storage. If
2025-06-01T21:26:28.1811270Z     :attr:`map_location` returns a storage, it will be used as the final deserialized
2025-06-01T21:26:28.1811630Z     object, already moved to the right device. Otherwise, :func:`torch.load` will
2025-06-01T21:26:28.1811980Z     fall back to the default behavior, as if :attr:`map_location` wasn't specified.
2025-06-01T21:26:28.1812190Z 
2025-06-01T21:26:28.1812330Z     If :attr:`map_location` is a :class:`torch.device` object or a string containing
2025-06-01T21:26:28.1812670Z     a device tag, it indicates the location where all tensors should be loaded.
2025-06-01T21:26:28.1812870Z 
2025-06-01T21:26:28.1813020Z     Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags
2025-06-01T21:26:28.1813350Z     appearing in the file (keys), to ones that specify where to put the
2025-06-01T21:26:28.1813580Z     storages (values).
2025-06-01T21:26:28.1813670Z 
2025-06-01T21:26:28.1813800Z     User extensions can register their own location tags and tagging and
2025-06-01T21:26:28.1814150Z     deserialization methods using :func:`torch.serialization.register_package`.
2025-06-01T21:26:28.1814360Z 
2025-06-01T21:26:28.1814510Z     See :ref:`layout-control` for more advanced tools to manipulate a checkpoint.
2025-06-01T21:26:28.1814710Z 
2025-06-01T21:26:28.1814860Z     Args:
2025-06-01T21:26:28.1815100Z         f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
2025-06-01T21:26:28.1815450Z             or a string or os.PathLike object containing a file name
2025-06-01T21:26:28.1815800Z         map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage
2025-06-01T21:26:28.1816100Z             locations
2025-06-01T21:26:28.1816320Z         pickle_module: module used for unpickling metadata and objects (has to
2025-06-01T21:26:28.1816660Z             match the :attr:`pickle_module` used to serialize file)
2025-06-01T21:26:28.1816990Z         weights_only: Indicates whether unpickler should be restricted to
2025-06-01T21:26:28.1817420Z             loading only tensors, primitive types, dictionaries
2025-06-01T21:26:28.1817800Z             and any types added via :func:`torch.serialization.add_safe_globals`.
2025-06-01T21:26:28.1818110Z             See :ref:`weights-only` for more details.
2025-06-01T21:26:28.1818510Z         mmap: Indicates whether the file should be mmaped rather than loading all the storages into memory.
2025-06-01T21:26:28.1824980Z             Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they
2025-06-01T21:26:28.1825450Z             are moved to the location that they were tagged with when saving, or specified by ``map_location``. This
2025-06-01T21:26:28.1825970Z             second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the
2025-06-01T21:26:28.1826500Z             tensor storages from disk to CPU memory in the first step, ``f`` is mmaped, which means tensor storages
2025-06-01T21:26:28.1826870Z             will be lazily loaded when their data is accessed.
2025-06-01T21:26:28.1827180Z         pickle_load_args: (Python 3 only) optional keyword arguments passed over to
2025-06-01T21:26:28.1827540Z             :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g.,
2025-06-01T21:26:28.1827790Z             :attr:`errors=...`.
2025-06-01T21:26:28.1827900Z 
2025-06-01T21:26:28.1827970Z     .. warning::
2025-06-01T21:26:28.1828170Z         :func:`torch.load()` unless `weights_only` parameter is set to `True`,
2025-06-01T21:26:28.1828490Z         uses ``pickle`` module implicitly, which is known to be insecure.
2025-06-01T21:26:28.1828850Z         It is possible to construct malicious pickle data which will execute arbitrary code
2025-06-01T21:26:28.1829230Z         during unpickling. Never load data that could have come from an untrusted
2025-06-01T21:26:28.1829620Z         source in an unsafe mode, or that could have been tampered with. **Only load data you trust**.
2025-06-01T21:26:28.1829860Z 
2025-06-01T21:26:28.1829910Z     .. note::
2025-06-01T21:26:28.1830140Z         When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors
2025-06-01T21:26:28.1830520Z         will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')``
2025-06-01T21:26:28.1830900Z         and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint.
2025-06-01T21:26:28.1831130Z 
2025-06-01T21:26:28.1831180Z     .. note::
2025-06-01T21:26:28.1831410Z         By default, we decode byte strings as ``utf-8``.  This is to avoid a common error
2025-06-01T21:26:28.1831750Z         case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...``
2025-06-01T21:26:28.1832080Z         when loading files saved by Python 2 in Python 3.  If this default
2025-06-01T21:26:28.1832420Z         is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how
2025-06-01T21:26:28.1832780Z         these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them
2025-06-01T21:26:28.1833140Z         to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them
2025-06-01T21:26:28.1833490Z         as byte arrays which can be decoded later with ``byte_array.decode(...)``.
2025-06-01T21:26:28.1833750Z 
2025-06-01T21:26:28.1833790Z     Example:
2025-06-01T21:26:28.1833950Z         >>> # xdoctest: +SKIP("undefined filepaths")
2025-06-01T21:26:28.1834170Z         >>> torch.load("tensors.pt", weights_only=True)
2025-06-01T21:26:28.1834380Z         # Load all tensors onto the CPU
2025-06-01T21:26:28.1834560Z         >>> torch.load(
2025-06-01T21:26:28.1834700Z         ...     "tensors.pt",
2025-06-01T21:26:28.1834890Z         ...     map_location=torch.device("cpu"),
2025-06-01T21:26:28.1835080Z         ...     weights_only=True,
2025-06-01T21:26:28.1835240Z         ... )
2025-06-01T21:26:28.1835460Z         # Load all tensors onto the CPU, using a function
2025-06-01T21:26:28.1835690Z         >>> torch.load(
2025-06-01T21:26:28.1835830Z         ...     "tensors.pt",
2025-06-01T21:26:28.1836020Z         ...     map_location=lambda storage, loc: storage,
2025-06-01T21:26:28.1836220Z         ...     weights_only=True,
2025-06-01T21:26:28.1836380Z         ... )
2025-06-01T21:26:28.1836510Z         # Load all tensors onto GPU 1
2025-06-01T21:26:28.1836670Z         >>> torch.load(
2025-06-01T21:26:28.1836810Z         ...     "tensors.pt",
2025-06-01T21:26:28.1837010Z         ...     map_location=lambda storage, loc: storage.cuda(1),
2025-06-01T21:26:28.1837220Z         ...     weights_only=True,
2025-06-01T21:26:28.1837400Z         ... )  # type: ignore[attr-defined]
2025-06-01T21:26:28.1837600Z         # Map tensors from GPU 1 to GPU 0
2025-06-01T21:26:28.1837770Z         >>> torch.load(
2025-06-01T21:26:28.1837950Z         ...     "tensors.pt",
2025-06-01T21:26:28.1838130Z         ...     map_location={"cuda:1": "cuda:0"},
2025-06-01T21:26:28.1838330Z         ...     weights_only=True,
2025-06-01T21:26:28.1838490Z         ... )
2025-06-01T21:26:28.1838620Z         # Load tensor from io.BytesIO object
2025-06-01T21:26:28.1838900Z         # Loading from a buffer setting weights_only=False, warning this can be unsafe
2025-06-01T21:26:28.1839190Z         >>> with open("tensor.pt", "rb") as f:
2025-06-01T21:26:28.1839390Z         ...     buffer = io.BytesIO(f.read())
2025-06-01T21:26:28.1839590Z         >>> torch.load(buffer, weights_only=False)
2025-06-01T21:26:28.1839830Z         # Load a module with 'ascii' encoding for unpickling
2025-06-01T21:26:28.1840130Z         # Loading from a module setting weights_only=False, warning this can be unsafe
2025-06-01T21:26:28.1840470Z         >>> torch.load("module.pt", encoding="ascii", weights_only=False)
2025-06-01T21:26:28.1840690Z     
2025-06-01T21:26:28.1840900Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.1841140Z 
2025-06-01T21:26:28.1841540Z msg = Cannot scrape callname=Future.then in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/futures/__init__.py line=105.
2025-06-01T21:26:28.1842150Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.1842380Z 
2025-06-01T21:26:28.1842520Z Append the given callback function to this ``Future``, which will be run
2025-06-01T21:26:28.1842840Z when the ``Future`` is completed.  Multiple callbacks can be added to
2025-06-01T21:26:28.1843150Z the same ``Future``, but the order in which they will be executed cannot
2025-06-01T21:26:28.1843450Z be guaranteed (to enforce a certain order consider chaining:
2025-06-01T21:26:28.1843750Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which
2025-06-01T21:26:28.1844070Z is the reference to this ``Future``. The callback function can use the
2025-06-01T21:26:28.1844380Z :meth:`value` method to get the value. Note that if this ``Future`` is
2025-06-01T21:26:28.1844710Z already completed, the given callback will be run immediately inline.
2025-06-01T21:26:28.1844910Z 
2025-06-01T21:26:28.1845030Z If the ``Future``'s value contains tensors that reside on GPUs, the
2025-06-01T21:26:28.1845340Z callback might be invoked while the async kernels that are populating
2025-06-01T21:26:28.1845670Z those tensors haven't yet finished executing on the device. However, the
2025-06-01T21:26:28.1846020Z callback will be invoked with some dedicated streams set as current
2025-06-01T21:26:28.1846330Z (fetched from a global pool) which will be synchronized with those
2025-06-01T21:26:28.1846650Z kernels. Hence any operation performed by the callback on these tensors
2025-06-01T21:26:28.1846980Z will be scheduled on the device after the kernels complete. In other
2025-06-01T21:26:28.1847290Z words, as long as the callback doesn't switch streams, it can safely
2025-06-01T21:26:28.1847620Z manipulate the result without any additional synchronization. This is
2025-06-01T21:26:28.1847960Z similar to the non-blocking behavior of :meth:`wait`.
2025-06-01T21:26:28.1848150Z 
2025-06-01T21:26:28.1848280Z Similarly, if the callback returns a value that contains tensors that
2025-06-01T21:26:28.1848590Z reside on a GPU, it can do so even if the kernels that are producing
2025-06-01T21:26:28.1848900Z these tensors are still running on the device, as long as the callback
2025-06-01T21:26:28.1849220Z didn't change streams during its execution. If one wants to change
2025-06-01T21:26:28.1849530Z streams, one must be careful to re-synchronize them with the original
2025-06-01T21:26:28.1849850Z streams, that is, those that were current when the callback was invoked.
2025-06-01T21:26:28.1850040Z 
2025-06-01T21:26:28.1850080Z Args:
2025-06-01T21:26:28.1850260Z     callback(``Callable``): a ``Callable`` that takes this ``Future`` as
2025-06-01T21:26:28.1850550Z                             the only argument.
2025-06-01T21:26:28.1850680Z 
2025-06-01T21:26:28.1850730Z Returns:
2025-06-01T21:26:28.1850900Z     A new ``Future`` object that holds the return value of the
2025-06-01T21:26:28.1851170Z     ``callback`` and will be marked as completed when the given
2025-06-01T21:26:28.1851390Z     ``callback`` finishes.
2025-06-01T21:26:28.1851490Z 
2025-06-01T21:26:28.1851600Z .. note:: Note that if the callback function throws, either
2025-06-01T21:26:28.1851910Z     through the original future being completed with an exception and
2025-06-01T21:26:28.1852230Z     calling ``fut.wait()``, or through other code in the callback, the
2025-06-01T21:26:28.1852550Z     future returned by ``then`` will be marked appropriately with the
2025-06-01T21:26:28.1852890Z     encountered error. However, if this callback later completes
2025-06-01T21:26:28.1853210Z     additional futures, those futures are not marked as completed with
2025-06-01T21:26:28.1853540Z     an error and the user is responsible for handling completion/waiting
2025-06-01T21:26:28.1853800Z     on those futures independently.
2025-06-01T21:26:28.1853930Z 
2025-06-01T21:26:28.1854040Z Example::
2025-06-01T21:26:28.1854120Z 
2025-06-01T21:26:28.1854210Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-06-01T21:26:28.1854420Z     >>> def callback(fut):
2025-06-01T21:26:28.1854610Z     ...     print(f"RPC return value is {fut.wait()}.")
2025-06-01T21:26:28.1854830Z     >>> fut = torch.futures.Future()
2025-06-01T21:26:28.1855070Z     >>> # The inserted callback will print the return value when
2025-06-01T21:26:28.1855310Z     >>> # receiving the response from "worker1"
2025-06-01T21:26:28.1855520Z     >>> cb_fut = fut.then(callback)
2025-06-01T21:26:28.1855700Z     >>> chain_cb_fut = cb_fut.then(
2025-06-01T21:26:28.1855920Z     ...     lambda x : print(f"Chained cb done. {x.wait()}")
2025-06-01T21:26:28.1856130Z     ... )
2025-06-01T21:26:28.1856250Z     >>> fut.set_result(5)
2025-06-01T21:26:28.1856410Z     RPC return value is 5.
2025-06-01T21:26:28.1856560Z     Chained cb done. None
2025-06-01T21:26:28.1856670Z 
2025-06-01T21:26:28.1856830Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.4957320Z 
2025-06-01T21:26:28.4957940Z msg = Cannot scrape callname=Future.set_result in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/futures/__init__.py line=215.
2025-06-01T21:26:28.4958650Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.4959090Z 
2025-06-01T21:26:28.4959220Z Set the result for this ``Future``, which will mark this ``Future`` as
2025-06-01T21:26:28.4959550Z completed and trigger all attached callbacks. Note that a ``Future``
2025-06-01T21:26:28.4959810Z cannot be marked completed twice.
2025-06-01T21:26:28.4959940Z 
2025-06-01T21:26:28.4960070Z If the result contains tensors that reside on GPUs, this method can be
2025-06-01T21:26:28.4960410Z called even if the asynchronous kernels that are populating those
2025-06-01T21:26:28.4960790Z tensors haven't yet completed running on the device, provided that the
2025-06-01T21:26:28.4961180Z streams on which those kernels were enqueued are set as the current ones
2025-06-01T21:26:28.4961520Z when this method is called. Put simply, it's safe to call this method
2025-06-01T21:26:28.4961850Z immediately after launching those kernels, without any additional
2025-06-01T21:26:28.4962190Z synchronization, as long as one doesn't change streams in between. This
2025-06-01T21:26:28.4962530Z method will record events on all the relevant current streams and will
2025-06-01T21:26:28.4962860Z use them to ensure proper scheduling for all the consumers of this
2025-06-01T21:26:28.4963100Z ``Future``.
2025-06-01T21:26:28.4963170Z 
2025-06-01T21:26:28.4963210Z Args:
2025-06-01T21:26:28.4963370Z     result (object): the result object of this ``Future``.
2025-06-01T21:26:28.4963540Z 
2025-06-01T21:26:28.4963610Z Example::
2025-06-01T21:26:28.4963770Z 
2025-06-01T21:26:28.4963860Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-06-01T21:26:28.4964070Z     >>> import threading
2025-06-01T21:26:28.4964220Z     >>> import time
2025-06-01T21:26:28.4964370Z     >>> def slow_set_future(fut, value):
2025-06-01T21:26:28.4964580Z     ...     time.sleep(0.5)
2025-06-01T21:26:28.4964750Z     ...     fut.set_result(value)
2025-06-01T21:26:28.4964930Z     >>> fut = torch.futures.Future()
2025-06-01T21:26:28.4965110Z     >>> t = threading.Thread(
2025-06-01T21:26:28.4965290Z     ...     target=slow_set_future,
2025-06-01T21:26:28.4965470Z     ...     args=(fut, torch.ones(2) * 3)
2025-06-01T21:26:28.4965650Z     ... )
2025-06-01T21:26:28.4965750Z     >>> t.start()
2025-06-01T21:26:28.4965890Z     >>> print(fut.wait())
2025-06-01T21:26:28.4966040Z     tensor([3., 3.])
2025-06-01T21:26:28.4966170Z     >>> t.join()
2025-06-01T21:26:28.4966250Z 
2025-06-01T21:26:28.4966410Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.4966630Z 
2025-06-01T21:26:28.4967040Z msg = Cannot scrape callname=compile_shader in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/mps/__init__.py line=144.
2025-06-01T21:26:28.4967670Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.4968020Z Compiles compute shader from source and allows one to invoke kernels
2025-06-01T21:26:28.4968300Z     defined there from the comfort of Python runtime
2025-06-01T21:26:28.4968500Z     Example::
2025-06-01T21:26:28.4968580Z 
2025-06-01T21:26:28.4968670Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS)
2025-06-01T21:26:28.4968880Z         >>> lib = torch.mps.compile_shader(
2025-06-01T21:26:28.4969270Z         ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }"
2025-06-01T21:26:28.4969600Z         ...  )
2025-06-01T21:26:28.4969740Z         >>> x = torch.zeros(16, device="mps")
2025-06-01T21:26:28.4969930Z         >>> lib.full(x, 3.14)
2025-06-01T21:26:28.4970080Z     
2025-06-01T21:26:28.4970280Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.4970500Z 
2025-06-01T21:26:28.4970880Z msg = Cannot scrape callname=cudart in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/__init__.py line=407.
2025-06-01T21:26:28.4971460Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-06-01T21:26:28.4971790Z Retrieves the CUDA runtime API module.
2025-06-01T21:26:28.4971920Z 
2025-06-01T21:26:28.4971930Z 
2025-06-01T21:26:28.4972080Z     This function initializes the CUDA runtime environment if it is not already
2025-06-01T21:26:28.4972430Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-06-01T21:26:28.4972780Z     runtime API module provides access to various CUDA runtime functions.
2025-06-01T21:26:28.4972980Z 
2025-06-01T21:26:28.4973020Z     Args:
2025-06-01T21:26:28.4973130Z         ``None``
2025-06-01T21:26:28.4973200Z 
2025-06-01T21:26:28.4973290Z     Returns:
2025-06-01T21:26:28.4973460Z         module: The CUDA runtime API module (_cudart).
2025-06-01T21:26:28.4973620Z 
2025-06-01T21:26:28.4973660Z     Raises:
2025-06-01T21:26:28.4973860Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-06-01T21:26:28.4974290Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-06-01T21:26:28.4974560Z 
2025-06-01T21:26:28.4974640Z     Example of CUDA operations with profiling:
2025-06-01T21:26:28.4974820Z         >>> import torch
2025-06-01T21:26:28.4975000Z         >>> from torch.cuda import cudart, check_error
2025-06-01T21:26:28.4975190Z         >>> import os
2025-06-01T21:26:28.4975320Z         >>>
2025-06-01T21:26:28.4975450Z         >>> os.environ['CUDA_PROFILE'] = '1'
2025-06-01T21:26:28.4975620Z         >>>
2025-06-01T21:26:28.4975820Z         >>> def perform_cuda_operations_with_streams():
2025-06-01T21:26:28.4976040Z         >>>     stream = torch.cuda.Stream()
2025-06-01T21:26:28.4976250Z         >>>     with torch.cuda.stream(stream):
2025-06-01T21:26:28.4976460Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-06-01T21:26:28.4976680Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-06-01T21:26:28.4976880Z         >>>         z = torch.mul(x, y)
2025-06-01T21:26:28.4977050Z         >>>     return z
2025-06-01T21:26:28.4977180Z         >>>
2025-06-01T21:26:28.4977300Z         >>> torch.cuda.synchronize()
2025-06-01T21:26:28.4977500Z         >>> print("====== Start nsys profiling ======")
2025-06-01T21:26:28.4977730Z         >>> check_error(cudart().cudaProfilerStart())
2025-06-01T21:26:28.4977960Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-06-01T21:26:28.4978200Z         >>>     result = perform_cuda_operations_with_streams()
2025-06-01T21:26:28.4978440Z         >>>     print("CUDA operations completed.")
2025-06-01T21:26:28.4978680Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-06-01T21:26:28.4978920Z         >>> print("====== End nsys profiling ======")
2025-06-01T21:26:28.4979070Z 
2025-06-01T21:26:28.4979200Z     To run this example and save the profiling information, execute:
2025-06-01T21:26:28.4979600Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-06-01T21:26:28.4979890Z 
2025-06-01T21:26:28.4980040Z     This command profiles the CUDA operations in the provided script and saves
2025-06-01T21:26:28.4980370Z     the profiling information to a file named `trace_name.prof`.
2025-06-01T21:26:28.4980690Z     The `--profile-from-start off` option ensures that profiling starts only
2025-06-01T21:26:28.4980980Z     after the `cudaProfilerStart` call in the script.
2025-06-01T21:26:28.4981270Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-06-01T21:26:28.4981550Z     CSV file and print a summary, respectively.
2025-06-01T21:26:28.4981840Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-06-01T21:26:28.4982150Z     overwrite of the output file if it already exists.
2025-06-01T21:26:28.4982350Z     
2025-06-01T21:26:28.4982780Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-06-01T21:26:28.4983260Z 
2025-06-01T21:26:28.4983460Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-06-01T21:26:28.4983780Z ^
2025-06-01T21:26:28.4984240Z msg = Cannot scrape callname=is_available in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/accelerator/__init__.py line=48.
2025-06-01T21:26:28.4984840Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-06-01T21:26:28.4985210Z Check if the current accelerator is available at runtime: it was build, all the
2025-06-01T21:26:28.4985700Z     required drivers are available and at least one device is visible.
2025-06-01T21:26:28.4986090Z     See :ref:`accelerator<accelerators>` for details.
2025-06-01T21:26:28.4986250Z 
2025-06-01T21:26:28.4986290Z     Returns:
2025-06-01T21:26:28.4986530Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-06-01T21:26:28.4986760Z 
2025-06-01T21:26:28.4986910Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-06-01T21:26:28.4987280Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-06-01T21:26:28.4987650Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-06-01T21:26:28.4987950Z         :ref:`multiprocessing-poison-fork-note`.
2025-06-01T21:26:28.4988100Z 
2025-06-01T21:26:28.4988140Z     Example::
2025-06-01T21:26:28.4988280Z 
2025-06-01T21:26:28.4988500Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-06-01T21:26:28.4988770Z     
2025-06-01T21:26:28.4989150Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-06-01T21:26:28.4989540Z 
2025-06-01T21:26:28.4989700Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-06-01T21:26:28.4989970Z                                         ^
2025-06-01T21:26:28.4990500Z msg = Cannot scrape callname=synchronize in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/accelerator/__init__.py line=169.
2025-06-01T21:26:28.4991110Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-06-01T21:26:28.4991440Z Wait for all kernels in all streams on the given device to complete.
2025-06-01T21:26:28.4991630Z 
2025-06-01T21:26:28.4991680Z     Args:
2025-06-01T21:26:28.4991940Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-06-01T21:26:28.4992340Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-06-01T21:26:28.4992670Z             use :func:`torch.accelerator.current_device_index` by default.
2025-06-01T21:26:28.4992850Z 
2025-06-01T21:26:28.4993040Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-06-01T21:26:28.4993280Z 
2025-06-01T21:26:28.4993330Z     Example::
2025-06-01T21:26:28.4993410Z 
2025-06-01T21:26:28.4993490Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-06-01T21:26:28.4993820Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-06-01T21:26:28.4994250Z         >>> start_event = torch.Event(enable_timing=True)
2025-06-01T21:26:28.5001220Z         >>> end_event = torch.Event(enable_timing=True)
2025-06-01T21:26:28.5001440Z         >>> start_event.record()
2025-06-01T21:26:28.5001710Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-06-01T21:26:28.5001970Z         >>> sum = torch.sum(tensor)
2025-06-01T21:26:28.5002140Z         >>> end_event.record()
2025-06-01T21:26:28.5002320Z         >>> torch.accelerator.synchronize()
2025-06-01T21:26:28.5002550Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-06-01T21:26:28.5002860Z     
2025-06-01T21:26:28.5003230Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-06-01T21:26:28.5003600Z 
2025-06-01T21:26:28.5003750Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-06-01T21:26:28.5004020Z                                         ^
2025-06-01T21:26:28.5004500Z msg = Cannot scrape callname=sum in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/sparse/__init__.py line=202.
2025-06-01T21:26:28.5005100Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.5005430Z Return the sum of each row of the given sparse tensor.
2025-06-01T21:26:28.5005590Z 
2025-06-01T21:26:28.5005720Z     Returns the sum of each row of the sparse tensor :attr:`input` in the given
2025-06-01T21:26:28.5006030Z     dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions,
2025-06-01T21:26:28.5006340Z     reduce over all of them. When sum over all ``sparse_dim``, this method
2025-06-01T21:26:28.5006690Z     returns a dense tensor instead of a sparse tensor.
2025-06-01T21:26:28.5006850Z 
2025-06-01T21:26:28.5007010Z     All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output
2025-06-01T21:26:28.5007360Z     tensor having :attr:`dim` fewer dimensions than :attr:`input`.
2025-06-01T21:26:28.5007550Z 
2025-06-01T21:26:28.5007720Z     During backward, only gradients at ``nnz`` locations of :attr:`input`
2025-06-01T21:26:28.5008070Z     will propagate back. Note that the gradients of :attr:`input` is coalesced.
2025-06-01T21:26:28.5008280Z 
2025-06-01T21:26:28.5008330Z     Args:
2025-06-01T21:26:28.5008470Z         input (Tensor): the input sparse tensor
2025-06-01T21:26:28.5008770Z         dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce
2025-06-01T21:26:28.5009050Z             over all dims.
2025-06-01T21:26:28.5009310Z         dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor.
2025-06-01T21:26:28.5009600Z             Default: dtype of :attr:`input`.
2025-06-01T21:26:28.5009730Z 
2025-06-01T21:26:28.5009780Z     Example::
2025-06-01T21:26:28.5009860Z 
2025-06-01T21:26:28.5009900Z         >>> nnz = 3
2025-06-01T21:26:28.5010030Z         >>> dims = [5, 5, 2, 3]
2025-06-01T21:26:28.5010230Z         >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)),
2025-06-01T21:26:28.5010510Z                            torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz)
2025-06-01T21:26:28.5010770Z         >>> V = torch.randn(nnz, dims[2], dims[3])
2025-06-01T21:26:28.5010970Z         >>> size = torch.Size(dims)
2025-06-01T21:26:28.5011170Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-06-01T21:26:28.5011390Z         >>> S = torch.sparse_coo_tensor(I, V, size)
2025-06-01T21:26:28.5011560Z         >>> S
2025-06-01T21:26:28.5011690Z         tensor(indices=tensor([[2, 0, 3],
2025-06-01T21:26:28.5011860Z                                [2, 4, 1]]),
2025-06-01T21:26:28.5012060Z                values=tensor([[[-0.6438, -1.6467,  1.4004],
2025-06-01T21:26:28.5012270Z                                [ 0.3411,  0.0918, -0.2312]],
2025-06-01T21:26:28.5012400Z 
2025-06-01T21:26:28.5012460Z                               [[ 0.5348,  0.0634, -2.0494],
2025-06-01T21:26:28.5012660Z                                [-0.7125, -1.0646,  2.1844]],
2025-06-01T21:26:28.5012780Z 
2025-06-01T21:26:28.5012850Z                               [[ 0.1276,  0.1874, -0.6334],
2025-06-01T21:26:28.5013050Z                                [-1.9682, -0.5340,  0.7483]]]),
2025-06-01T21:26:28.5013270Z                size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo)
2025-06-01T21:26:28.5013420Z 
2025-06-01T21:26:28.5013540Z         # when sum over only part of sparse_dims, return a sparse tensor
2025-06-01T21:26:28.5013770Z         >>> torch.sparse.sum(S, [1, 3])
2025-06-01T21:26:28.5014010Z         tensor(indices=tensor([[0, 2, 3]]),
2025-06-01T21:26:28.5014200Z                values=tensor([[-1.4512,  0.4073],
2025-06-01T21:26:28.5014390Z                               [-0.8901,  0.2017],
2025-06-01T21:26:28.5014570Z                               [-0.3183, -1.7539]]),
2025-06-01T21:26:28.5014770Z                size=(5, 2), nnz=3, layout=torch.sparse_coo)
2025-06-01T21:26:28.5014920Z 
2025-06-01T21:26:28.5015010Z         # when sum over all sparse dim, return a dense tensor
2025-06-01T21:26:28.5015210Z         # with summed dims squeezed
2025-06-01T21:26:28.5015400Z         >>> torch.sparse.sum(S, [0, 1, 3])
2025-06-01T21:26:28.5015600Z         tensor([-2.6596, -1.1450])
2025-06-01T21:26:28.5015770Z     
2025-06-01T21:26:28.5015970Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.5016190Z 
2025-06-01T21:26:28.5016630Z msg = Cannot scrape callname=vmap in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/apis.py line=39.
2025-06-01T21:26:28.5017230Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.5017460Z 
2025-06-01T21:26:28.5017590Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-06-01T21:26:28.5017910Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-06-01T21:26:28.5018230Z pushes the map into PyTorch operations called by ``func``, effectively
2025-06-01T21:26:28.5018520Z vectorizing those operations.
2025-06-01T21:26:28.5018630Z 
2025-06-01T21:26:28.5018760Z vmap is useful for handling batch dimensions: one can write a function
2025-06-01T21:26:28.5019080Z ``func`` that runs on examples and then lift it to a function that can
2025-06-01T21:26:28.5019390Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-06-01T21:26:28.5019680Z compute batched gradients when composed with autograd.
2025-06-01T21:26:28.5019840Z 
2025-06-01T21:26:28.5019890Z .. note::
2025-06-01T21:26:28.5020080Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-06-01T21:26:28.5020330Z     convenience. Use whichever one you'd like.
2025-06-01T21:26:28.5020470Z 
2025-06-01T21:26:28.5020510Z Args:
2025-06-01T21:26:28.5020700Z     func (function): A Python function that takes one or more arguments.
2025-06-01T21:26:28.5020950Z         Must return one or more Tensors.
2025-06-01T21:26:28.5021200Z     in_dims (int or nested structure): Specifies which dimension of the
2025-06-01T21:26:28.5021490Z         inputs should be mapped over. ``in_dims`` should have a
2025-06-01T21:26:28.5021780Z         structure like the inputs. If the ``in_dim`` for a particular
2025-06-01T21:26:28.5022070Z         input is None, then that indicates there is no map dimension.
2025-06-01T21:26:28.5022300Z         Default: 0.
2025-06-01T21:26:28.5022500Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-06-01T21:26:28.5022800Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-06-01T21:26:28.5023070Z         it should have one element per output. Default: 0.
2025-06-01T21:26:28.5023340Z     randomness (str): Specifies whether the randomness in this
2025-06-01T21:26:28.5023640Z         vmap should be the same or different across batches. If 'different',
2025-06-01T21:26:28.5023950Z         the randomness for each batch will be different. If 'same', the
2025-06-01T21:26:28.5024270Z         randomness will be the same across batches. If 'error', any calls to
2025-06-01T21:26:28.5024590Z         random functions will error. Default: 'error'. WARNING: this flag
2025-06-01T21:26:28.5024910Z         only applies to random PyTorch operations and does not apply to
2025-06-01T21:26:28.5025170Z         Python's random module or numpy randomness.
2025-06-01T21:26:28.5025440Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-06-01T21:26:28.5025770Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-06-01T21:26:28.5026150Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-06-01T21:26:28.5026520Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-06-01T21:26:28.5026740Z 
2025-06-01T21:26:28.5026780Z Returns:
2025-06-01T21:26:28.5026980Z     Returns a new "batched" function. It takes the same inputs as
2025-06-01T21:26:28.5027270Z     ``func``, except each input has an extra dimension at the index
2025-06-01T21:26:28.5027550Z     specified by ``in_dims``. It takes returns the same outputs as
2025-06-01T21:26:28.5027850Z     ``func``, except each output has an extra dimension at the index
2025-06-01T21:26:28.5028100Z     specified by ``out_dims``.
2025-06-01T21:26:28.5028200Z 
2025-06-01T21:26:28.5028250Z .. warning:
2025-06-01T21:26:28.5028430Z     :func:`vmap` works best with functional-style code. Please do not
2025-06-01T21:26:28.5028710Z     perform any side-effects in ``func``, with the exception of
2025-06-01T21:26:28.5029020Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-06-01T21:26:28.5029350Z     Python data structures and assigning values to variables not captured
2025-06-01T21:26:28.5029590Z     in ``func``.
2025-06-01T21:26:28.5029660Z 
2025-06-01T21:26:28.5029800Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-06-01T21:26:28.5030120Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-06-01T21:26:28.5030480Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-06-01T21:26:28.5030670Z 
2025-06-01T21:26:28.5030770Z     >>> torch.dot                            # [D], [D] -> []
2025-06-01T21:26:28.5031040Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-06-01T21:26:28.5031300Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-06-01T21:26:28.5031480Z     >>> batched_dot(x, y)
2025-06-01T21:26:28.5031580Z 
2025-06-01T21:26:28.5031720Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-06-01T21:26:28.5031960Z model authoring experience.
2025-06-01T21:26:28.5032180Z 
2025-06-01T21:26:28.5032240Z     >>> batch_size, feature_size = 3, 5
2025-06-01T21:26:28.5032460Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-06-01T21:26:28.5032680Z     >>>
2025-06-01T21:26:28.5032800Z     >>> def model(feature_vec):
2025-06-01T21:26:28.5032990Z     >>>     # Very simple linear model with activation
2025-06-01T21:26:28.5033210Z     >>>     return feature_vec.dot(weights).relu()
2025-06-01T21:26:28.5033400Z     >>>
2025-06-01T21:26:28.5033550Z     >>> examples = torch.randn(batch_size, feature_size)
2025-06-01T21:26:28.5033770Z     >>> result = torch.vmap(model)(examples)
2025-06-01T21:26:28.5033910Z 
2025-06-01T21:26:28.5034050Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-06-01T21:26:28.5034400Z or impossible to batch. One example is higher-order gradient computation.
2025-06-01T21:26:28.5034740Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-06-01T21:26:28.5035070Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-06-01T21:26:28.5035410Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-06-01T21:26:28.5035760Z we can vectorize the whole computation, computing the Jacobian in a single
2025-06-01T21:26:28.5036020Z call to ``autograd.grad``.
2025-06-01T21:26:28.5036120Z 
2025-06-01T21:26:28.5036170Z     >>> # Setup
2025-06-01T21:26:28.5036290Z     >>> N = 5
2025-06-01T21:26:28.5036410Z     >>> f = lambda x: x ** 2
2025-06-01T21:26:28.5036580Z     >>> x = torch.randn(N, requires_grad=True)
2025-06-01T21:26:28.5036760Z     >>> y = f(x)
2025-06-01T21:26:28.5036890Z     >>> I_N = torch.eye(N)
2025-06-01T21:26:28.5037020Z     >>>
2025-06-01T21:26:28.5037140Z     >>> # Sequential approach
2025-06-01T21:26:28.5037370Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-06-01T21:26:28.5037700Z     >>>                  for v in I_N.unbind()]
2025-06-01T21:26:28.5037900Z     >>> jacobian = torch.stack(jacobian_rows)
2025-06-01T21:26:28.5038070Z     >>>
2025-06-01T21:26:28.5038200Z     >>> # vectorized gradient computation
2025-06-01T21:26:28.5038370Z     >>> def get_vjp(v):
2025-06-01T21:26:28.5038530Z     >>>     return torch.autograd.grad(y, x, v)
2025-06-01T21:26:28.5038730Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-06-01T21:26:28.5038870Z 
2025-06-01T21:26:28.5039020Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-06-01T21:26:28.5039280Z 
2025-06-01T21:26:28.5039390Z     >>> torch.dot                            # [D], [D] -> []
2025-06-01T21:26:28.5039730Z     >>> batched_dot = torch.vmap(torch.vmap(torch.dot))  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-06-01T21:26:28.5040040Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-06-01T21:26:28.5040260Z     >>> batched_dot(x, y) # tensor of size [2, 3]
2025-06-01T21:26:28.5040400Z 
2025-06-01T21:26:28.5040540Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-06-01T21:26:28.5040840Z the dimension that each inputs are batched along as
2025-06-01T21:26:28.5040990Z 
2025-06-01T21:26:28.5041080Z     >>> torch.dot                            # [N], [N] -> []
2025-06-01T21:26:28.5041370Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-06-01T21:26:28.5041640Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-06-01T21:26:28.5041960Z     >>> batched_dot(x, y)   # output is [5] instead of [2] if batched along the 0th dimension
2025-06-01T21:26:28.5042180Z 
2025-06-01T21:26:28.5042330Z If there are multiple inputs each of which is batched along different dimensions,
2025-06-01T21:26:28.5042670Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-06-01T21:26:28.5042860Z 
2025-06-01T21:26:28.5042940Z     >>> torch.dot                            # [D], [D] -> []
2025-06-01T21:26:28.5043240Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-06-01T21:26:28.5043520Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-06-01T21:26:28.5043790Z     >>> batched_dot(x, y) # second arg doesn't have a batch dim because in_dim[1] was None
2025-06-01T21:26:28.5044000Z 
2025-06-01T21:26:28.5044150Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-06-01T21:26:28.5044410Z matching the shape of the input:
2025-06-01T21:26:28.5044530Z 
2025-06-01T21:26:28.5044610Z     >>> f = lambda dict: torch.dot(dict['x'], dict['y'])
2025-06-01T21:26:28.5044830Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-06-01T21:26:28.5045020Z     >>> input = {'x': x, 'y': y}
2025-06-01T21:26:28.5045240Z     >>> batched_dot = torch.vmap(f, in_dims=({'x': 0, 'y': None},))
2025-06-01T21:26:28.5045460Z     >>> batched_dot(input)
2025-06-01T21:26:28.5045560Z 
2025-06-01T21:26:28.5045720Z By default, the output is batched along the first dimension. However, it can be batched
2025-06-01T21:26:28.5046020Z along any dimension by using ``out_dims``
2025-06-01T21:26:28.5046160Z 
2025-06-01T21:26:28.5046210Z     >>> f = lambda x: x ** 2
2025-06-01T21:26:28.5046370Z     >>> x = torch.randn(2, 5)
2025-06-01T21:26:28.5046540Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-06-01T21:26:28.5046740Z     >>> batched_pow(x) # [5, 2]
2025-06-01T21:26:28.5046840Z 
2025-06-01T21:26:28.5047010Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-06-01T21:26:28.5047290Z accept kwargs
2025-06-01T21:26:28.5047370Z 
2025-06-01T21:26:28.5047420Z     >>> x = torch.randn([2, 5])
2025-06-01T21:26:28.5047580Z     >>> def fn(x, scale=4.):
2025-06-01T21:26:28.5047740Z     >>>   return x * scale
2025-06-01T21:26:28.5047870Z     >>>
2025-06-01T21:26:28.5047990Z     >>> batched_pow = torch.vmap(fn)
2025-06-01T21:26:28.5048190Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-06-01T21:26:28.5048470Z     >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5]
2025-06-01T21:26:28.5048740Z 
2025-06-01T21:26:28.5048780Z .. note::
2025-06-01T21:26:28.5048970Z     vmap does not provide general autobatching or handle variable-length
2025-06-01T21:26:28.5049220Z     sequences out of the box.
2025-06-01T21:26:28.5049330Z 
2025-06-01T21:26:28.5049480Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.5049690Z 
2025-06-01T21:26:28.5050120Z msg = Cannot scrape callname=assert_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=326.
2025-06-01T21:26:28.5050770Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.5051010Z 
2025-06-01T21:26:28.5051140Z Raises an AssertionError if two items are not equal up to desired
2025-06-01T21:26:28.5051370Z precision.
2025-06-01T21:26:28.5051440Z 
2025-06-01T21:26:28.5051540Z .. note:: It is recommended to use one of `assert_allclose`,
2025-06-01T21:26:28.5051840Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-06-01T21:26:28.5052130Z           instead of this function for more consistent floating point
2025-06-01T21:26:28.5052350Z           comparisons.
2025-06-01T21:26:28.5052440Z 
2025-06-01T21:26:28.5052570Z The test verifies that the elements of `actual` and `desired` satisfy.
2025-06-01T21:26:28.5052760Z 
2025-06-01T21:26:28.5052860Z     ``abs(desired-actual) < float64(1.5 * 10**(-decimal))``
2025-06-01T21:26:28.5053060Z 
2025-06-01T21:26:28.5053200Z That is a looser test than originally documented, but agrees with what the
2025-06-01T21:26:28.5053540Z actual implementation in `assert_array_almost_equal` did up to rounding
2025-06-01T21:26:28.5053890Z vagaries. An exception is raised at conflicting values. For ndarrays this
2025-06-01T21:26:28.5054150Z delegates to assert_array_almost_equal
2025-06-01T21:26:28.5054280Z 
2025-06-01T21:26:28.5054330Z Parameters
2025-06-01T21:26:28.5054440Z ----------
2025-06-01T21:26:28.5054550Z actual : array_like
2025-06-01T21:26:28.5054690Z     The object to check.
2025-06-01T21:26:28.5054830Z desired : array_like
2025-06-01T21:26:28.5054970Z     The expected object.
2025-06-01T21:26:28.5055110Z decimal : int, optional
2025-06-01T21:26:28.5055270Z     Desired precision, default is 7.
2025-06-01T21:26:28.5055440Z err_msg : str, optional
2025-06-01T21:26:28.5055620Z     The error message to be printed in case of failure.
2025-06-01T21:26:28.5055820Z verbose : bool, optional
2025-06-01T21:26:28.5056040Z     If True, the conflicting values are appended to the error message.
2025-06-01T21:26:28.5056230Z 
2025-06-01T21:26:28.5056270Z Raises
2025-06-01T21:26:28.5056370Z ------
2025-06-01T21:26:28.5056470Z AssertionError
2025-06-01T21:26:28.5056660Z   If actual and desired are not equal up to specified precision.
2025-06-01T21:26:28.5056850Z 
2025-06-01T21:26:28.5056890Z See Also
2025-06-01T21:26:28.5056990Z --------
2025-06-01T21:26:28.5057190Z assert_allclose: Compare two array_like objects for equality with desired
2025-06-01T21:26:28.5057530Z                  relative and/or absolute precision.
2025-06-01T21:26:28.5057800Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-06-01T21:26:28.5057990Z 
2025-06-01T21:26:28.5058030Z Examples
2025-06-01T21:26:28.5058130Z --------
2025-06-01T21:26:28.5058290Z >>> from torch._numpy.testing import assert_almost_equal
2025-06-01T21:26:28.5058530Z >>> assert_almost_equal(2.3333333333333, 2.33333334)
2025-06-01T21:26:28.5058770Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
2025-06-01T21:26:28.5059000Z Traceback (most recent call last):
2025-06-01T21:26:28.5059160Z     ...
2025-06-01T21:26:28.5059270Z AssertionError:
2025-06-01T21:26:28.5059420Z Arrays are not almost equal to 10 decimals
2025-06-01T21:26:28.5059600Z  ACTUAL: 2.3333333333333
2025-06-01T21:26:28.5059730Z  DESIRED: 2.33333334
2025-06-01T21:26:28.5059820Z 
2025-06-01T21:26:28.5059910Z >>> assert_almost_equal(np.array([1.0,2.3333333333333]),
2025-06-01T21:26:28.5060220Z ...                     np.array([1.0,2.33333334]), decimal=9)
2025-06-01T21:26:28.5060420Z Traceback (most recent call last):
2025-06-01T21:26:28.5060580Z     ...
2025-06-01T21:26:28.5060690Z AssertionError:
2025-06-01T21:26:28.5060830Z Arrays are not almost equal to 9 decimals
2025-06-01T21:26:28.5061010Z <BLANKLINE>
2025-06-01T21:26:28.5061130Z Mismatched elements: 1 / 2 (50%)
2025-06-01T21:26:28.5061310Z Max absolute difference: 6.666699636781459e-09
2025-06-01T21:26:28.5061520Z Max relative difference: 2.8571569790287484e-09
2025-06-01T21:26:28.5061740Z  x: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-06-01T21:26:28.5062010Z  y: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-06-01T21:26:28.5062180Z 
2025-06-01T21:26:28.5062180Z 
2025-06-01T21:26:28.5062330Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.7353010Z 
2025-06-01T21:26:28.7353700Z msg = Cannot scrape callname=assert_approx_equal in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=451.
2025-06-01T21:26:28.7354450Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.7354680Z 
2025-06-01T21:26:28.7354830Z Raises an AssertionError if two items are not equal up to significant
2025-06-01T21:26:28.7355080Z digits.
2025-06-01T21:26:28.7355150Z 
2025-06-01T21:26:28.7355540Z .. note:: It is recommended to use one of `assert_allclose`,
2025-06-01T21:26:28.7355830Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-06-01T21:26:28.7356150Z           instead of this function for more consistent floating point
2025-06-01T21:26:28.7356540Z           comparisons.
2025-06-01T21:26:28.7356650Z 
2025-06-01T21:26:28.7356760Z Given two numbers, check that they are approximately equal.
2025-06-01T21:26:28.7357180Z Approximately equal is defined as the number of significant digits
2025-06-01T21:26:28.7363180Z that agree.
2025-06-01T21:26:28.7363280Z 
2025-06-01T21:26:28.7363320Z Parameters
2025-06-01T21:26:28.7363430Z ----------
2025-06-01T21:26:28.7363550Z actual : scalar
2025-06-01T21:26:28.7363680Z     The object to check.
2025-06-01T21:26:28.7363830Z desired : scalar
2025-06-01T21:26:28.7363960Z     The expected object.
2025-06-01T21:26:28.7364110Z significant : int, optional
2025-06-01T21:26:28.7364280Z     Desired precision, default is 7.
2025-06-01T21:26:28.7364450Z err_msg : str, optional
2025-06-01T21:26:28.7364630Z     The error message to be printed in case of failure.
2025-06-01T21:26:28.7364830Z verbose : bool, optional
2025-06-01T21:26:28.7365040Z     If True, the conflicting values are appended to the error message.
2025-06-01T21:26:28.7365230Z 
2025-06-01T21:26:28.7365270Z Raises
2025-06-01T21:26:28.7365370Z ------
2025-06-01T21:26:28.7365470Z AssertionError
2025-06-01T21:26:28.7365660Z   If actual and desired are not equal up to specified precision.
2025-06-01T21:26:28.7365830Z 
2025-06-01T21:26:28.7365880Z See Also
2025-06-01T21:26:28.7365980Z --------
2025-06-01T21:26:28.7366180Z assert_allclose: Compare two array_like objects for equality with desired
2025-06-01T21:26:28.7366460Z                  relative and/or absolute precision.
2025-06-01T21:26:28.7366720Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-06-01T21:26:28.7366910Z 
2025-06-01T21:26:28.7366950Z Examples
2025-06-01T21:26:28.7367050Z --------
2025-06-01T21:26:28.7367270Z >>> np.testing.assert_approx_equal(0.12345677777777e-20, 0.1234567e-20)  # doctest: +SKIP
2025-06-01T21:26:28.7367640Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345671e-20,  # doctest: +SKIP
2025-06-01T21:26:28.7367930Z ...                                significant=8)
2025-06-01T21:26:28.7368200Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345672e-20,  # doctest: +SKIP
2025-06-01T21:26:28.7368470Z ...                                significant=8)
2025-06-01T21:26:28.7368730Z Traceback (most recent call last):
2025-06-01T21:26:28.7369070Z     ...
2025-06-01T21:26:28.7369180Z AssertionError:
2025-06-01T21:26:28.7369340Z Items are not equal to 8 significant digits:
2025-06-01T21:26:28.7369530Z  ACTUAL: 1.234567e-21
2025-06-01T21:26:28.7369670Z  DESIRED: 1.2345672e-21
2025-06-01T21:26:28.7369770Z 
2025-06-01T21:26:28.7369860Z the evaluated condition that raises the exception is
2025-06-01T21:26:28.7370020Z 
2025-06-01T21:26:28.7370160Z >>> abs(0.12345670e-20/1e-21 - 0.12345672e-20/1e-21) >= 10**-(8-1)
2025-06-01T21:26:28.7370370Z True
2025-06-01T21:26:28.7370430Z 
2025-06-01T21:26:28.7370430Z 
2025-06-01T21:26:28.7370630Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.7370880Z 
2025-06-01T21:26:28.7371310Z msg = Cannot scrape callname=assert_array_equal in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=730.
2025-06-01T21:26:28.7371920Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.7372130Z 
2025-06-01T21:26:28.7372260Z Raises an AssertionError if two array_like objects are not equal.
2025-06-01T21:26:28.7372430Z 
2025-06-01T21:26:28.7372560Z Given two array_like objects, check that the shape is equal and all
2025-06-01T21:26:28.7372870Z elements of these objects are equal (but see the Notes for the special
2025-06-01T21:26:28.7373170Z handling of a scalar). An exception is raised at shape mismatch or
2025-06-01T21:26:28.7373530Z conflicting values. In contrast to the standard usage in numpy, NaNs
2025-06-01T21:26:28.7373860Z are compared like numbers, no assertion is raised if both objects have
2025-06-01T21:26:28.7374110Z NaNs in the same positions.
2025-06-01T21:26:28.7374220Z 
2025-06-01T21:26:28.7374340Z The usual caution for verifying equality with floating point numbers is
2025-06-01T21:26:28.7374580Z advised.
2025-06-01T21:26:28.7374640Z 
2025-06-01T21:26:28.7374680Z Parameters
2025-06-01T21:26:28.7374790Z ----------
2025-06-01T21:26:28.7374890Z x : array_like
2025-06-01T21:26:28.7375020Z     The actual object to check.
2025-06-01T21:26:28.7375170Z y : array_like
2025-06-01T21:26:28.7375290Z     The desired, expected object.
2025-06-01T21:26:28.7375450Z err_msg : str, optional
2025-06-01T21:26:28.7375710Z     The error message to be printed in case of failure.
2025-06-01T21:26:28.7375920Z verbose : bool, optional
2025-06-01T21:26:28.7376150Z     If True, the conflicting values are appended to the error message.
2025-06-01T21:26:28.7376390Z strict : bool, optional
2025-06-01T21:26:28.7376610Z     If True, raise an AssertionError when either the shape or the data
2025-06-01T21:26:28.7376900Z     type of the array_like objects does not match. The special
2025-06-01T21:26:28.7377190Z     handling for scalars mentioned in the Notes section is disabled.
2025-06-01T21:26:28.7377370Z 
2025-06-01T21:26:28.7377410Z Raises
2025-06-01T21:26:28.7377500Z ------
2025-06-01T21:26:28.7377610Z AssertionError
2025-06-01T21:26:28.7377750Z     If actual and desired objects are not equal.
2025-06-01T21:26:28.7377900Z 
2025-06-01T21:26:28.7377940Z See Also
2025-06-01T21:26:28.7378050Z --------
2025-06-01T21:26:28.7378250Z assert_allclose: Compare two array_like objects for equality with desired
2025-06-01T21:26:28.7378520Z                  relative and/or absolute precision.
2025-06-01T21:26:28.7378780Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-06-01T21:26:28.7378960Z 
2025-06-01T21:26:28.7379000Z Notes
2025-06-01T21:26:28.7379100Z -----
2025-06-01T21:26:28.7379260Z When one of `x` and `y` is a scalar and the other is array_like, the
2025-06-01T21:26:28.7379560Z function checks that each element of the array_like object is equal to
2025-06-01T21:26:28.7379880Z the scalar. This behaviour can be disabled with the `strict` parameter.
2025-06-01T21:26:28.7380070Z 
2025-06-01T21:26:28.7380120Z Examples
2025-06-01T21:26:28.7380220Z --------
2025-06-01T21:26:28.7380350Z The first assert does not raise an exception:
2025-06-01T21:26:28.7380530Z 
2025-06-01T21:26:28.7380630Z >>> np.testing.assert_array_equal([1.0,2.33333,np.nan],
2025-06-01T21:26:28.7380860Z ...                               [np.exp(0),2.33333, np.nan])
2025-06-01T21:26:28.7381000Z 
2025-06-01T21:26:28.7381130Z Use `assert_allclose` or one of the nulp (number of floating point values)
2025-06-01T21:26:28.7381390Z functions for these cases instead:
2025-06-01T21:26:28.7381510Z 
2025-06-01T21:26:28.7381590Z >>> np.testing.assert_allclose([1.0,np.pi,np.nan],
2025-06-01T21:26:28.7381880Z ...                            [1, np.sqrt(np.pi)**2, np.nan],
2025-06-01T21:26:28.7382100Z ...                            rtol=1e-10, atol=0)
2025-06-01T21:26:28.7382280Z 
2025-06-01T21:26:28.7382440Z As mentioned in the Notes section, `assert_array_equal` has special
2025-06-01T21:26:28.7382770Z handling for scalars. Here the test checks that each value in `x` is 3:
2025-06-01T21:26:28.7382970Z 
2025-06-01T21:26:28.7383030Z >>> x = np.full((2, 5), fill_value=3)
2025-06-01T21:26:28.7383210Z >>> np.testing.assert_array_equal(x, 3)
2025-06-01T21:26:28.7383340Z 
2025-06-01T21:26:28.7383470Z Use `strict` to raise an AssertionError when comparing a scalar with an
2025-06-01T21:26:28.7383710Z array:
2025-06-01T21:26:28.7383770Z 
2025-06-01T21:26:28.7383860Z >>> np.testing.assert_array_equal(x, 3, strict=True)
2025-06-01T21:26:28.7384070Z Traceback (most recent call last):
2025-06-01T21:26:28.7384230Z     ...
2025-06-01T21:26:28.7384330Z AssertionError:
2025-06-01T21:26:28.7384450Z Arrays are not equal
2025-06-01T21:26:28.7384620Z <BLANKLINE>
2025-06-01T21:26:28.7384740Z (shapes (2, 5), () mismatch)
2025-06-01T21:26:28.7384890Z  x: torch.ndarray([[3, 3, 3, 3, 3],
2025-06-01T21:26:28.7385060Z         [3, 3, 3, 3, 3]])
2025-06-01T21:26:28.7385200Z  y: torch.ndarray(3)
2025-06-01T21:26:28.7385280Z 
2025-06-01T21:26:28.7385400Z The `strict` parameter also ensures that the array data types match:
2025-06-01T21:26:28.7385590Z 
2025-06-01T21:26:28.7385630Z >>> x = np.array([2, 2, 2])
2025-06-01T21:26:28.7385810Z >>> y = np.array([2., 2., 2.], dtype=np.float32)
2025-06-01T21:26:28.7386020Z >>> np.testing.assert_array_equal(x, y, strict=True)
2025-06-01T21:26:28.7386230Z Traceback (most recent call last):
2025-06-01T21:26:28.7386390Z     ...
2025-06-01T21:26:28.7386490Z AssertionError:
2025-06-01T21:26:28.7386620Z Arrays are not equal
2025-06-01T21:26:28.7386740Z <BLANKLINE>
2025-06-01T21:26:28.7386890Z (dtypes dtype("int64"), dtype("float32") mismatch)
2025-06-01T21:26:28.7387080Z  x: torch.ndarray([2, 2, 2])
2025-06-01T21:26:28.7387240Z  y: torch.ndarray([2., 2., 2.])
2025-06-01T21:26:28.7387340Z 
2025-06-01T21:26:28.7387490Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.7387700Z 
2025-06-01T21:26:28.7388130Z msg = Cannot scrape callname=assert_array_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=836.
2025-06-01T21:26:28.7388770Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.7389000Z 
2025-06-01T21:26:28.7389130Z Raises an AssertionError if two objects are not equal up to desired
2025-06-01T21:26:28.7389370Z precision.
2025-06-01T21:26:28.7389440Z 
2025-06-01T21:26:28.7389550Z .. note:: It is recommended to use one of `assert_allclose`,
2025-06-01T21:26:28.7389820Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-06-01T21:26:28.7390120Z           instead of this function for more consistent floating point
2025-06-01T21:26:28.7390340Z           comparisons.
2025-06-01T21:26:28.7390440Z 
2025-06-01T21:26:28.7390580Z The test verifies identical shapes and that the elements of ``actual`` and
2025-06-01T21:26:28.7390820Z ``desired`` satisfy.
2025-06-01T21:26:28.7390910Z 
2025-06-01T21:26:28.7390990Z     ``abs(desired-actual) < 1.5 * 10**(-decimal)``
2025-06-01T21:26:28.7391130Z 
2025-06-01T21:26:28.7391260Z That is a looser test than originally documented, but agrees with what the
2025-06-01T21:26:28.7391660Z actual implementation did up to rounding vagaries. An exception is raised
2025-06-01T21:26:28.7392000Z at shape mismatch or conflicting values. In contrast to the standard usage
2025-06-01T21:26:28.7392320Z in numpy, NaNs are compared like numbers, no assertion is raised if both
2025-06-01T21:26:28.7392570Z objects have NaNs in the same positions.
2025-06-01T21:26:28.7392700Z 
2025-06-01T21:26:28.7392740Z Parameters
2025-06-01T21:26:28.7392850Z ----------
2025-06-01T21:26:28.7392950Z x : array_like
2025-06-01T21:26:28.7393070Z     The actual object to check.
2025-06-01T21:26:28.7393220Z y : array_like
2025-06-01T21:26:28.7393370Z     The desired, expected object.
2025-06-01T21:26:28.7393550Z decimal : int, optional
2025-06-01T21:26:28.7393710Z     Desired precision, default is 6.
2025-06-01T21:26:28.7393880Z err_msg : str, optional
2025-06-01T21:26:28.7394050Z   The error message to be printed in case of failure.
2025-06-01T21:26:28.7394250Z verbose : bool, optional
2025-06-01T21:26:28.7394470Z     If True, the conflicting values are appended to the error message.
2025-06-01T21:26:28.7394650Z 
2025-06-01T21:26:28.7394720Z Raises
2025-06-01T21:26:28.7394830Z ------
2025-06-01T21:26:28.7394940Z AssertionError
2025-06-01T21:26:28.7395130Z     If actual and desired are not equal up to specified precision.
2025-06-01T21:26:28.7395320Z 
2025-06-01T21:26:28.7395360Z See Also
2025-06-01T21:26:28.7395470Z --------
2025-06-01T21:26:28.7395670Z assert_allclose: Compare two array_like objects for equality with desired
2025-06-01T21:26:28.7395990Z                  relative and/or absolute precision.
2025-06-01T21:26:28.7396270Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-06-01T21:26:28.7396470Z 
2025-06-01T21:26:28.7396510Z Examples
2025-06-01T21:26:28.7396610Z --------
2025-06-01T21:26:28.7396750Z the first assert does not raise an exception
2025-06-01T21:26:28.7396880Z 
2025-06-01T21:26:28.7396980Z >>> np.testing.assert_array_almost_equal([1.0,2.333,np.nan],
2025-06-01T21:26:28.7397220Z ...                                      [1.0,2.333,np.nan])
2025-06-01T21:26:28.7397350Z 
2025-06-01T21:26:28.7397460Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan],
2025-06-01T21:26:28.7397700Z ...                                      [1.0,2.33339,np.nan], decimal=5)
2025-06-01T21:26:28.7397900Z Traceback (most recent call last):
2025-06-01T21:26:28.7398070Z     ...
2025-06-01T21:26:28.7398170Z AssertionError:
2025-06-01T21:26:28.7398310Z Arrays are not almost equal to 5 decimals
2025-06-01T21:26:28.7398480Z <BLANKLINE>
2025-06-01T21:26:28.7398600Z Mismatched elements: 1 / 3 (33.3%)
2025-06-01T21:26:28.7398780Z Max absolute difference: 5.999999999994898e-05
2025-06-01T21:26:28.7399000Z Max relative difference: 2.5713661239633743e-05
2025-06-01T21:26:28.7399230Z  x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-06-01T21:26:28.7399470Z  y: torch.ndarray([1.0000, 2.3334,    nan], dtype=float64)
2025-06-01T21:26:28.7399630Z 
2025-06-01T21:26:28.7399730Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan],
2025-06-01T21:26:28.7399980Z ...                                      [1.0,2.33333, 5], decimal=5)
2025-06-01T21:26:28.7400180Z Traceback (most recent call last):
2025-06-01T21:26:28.7400330Z     ...
2025-06-01T21:26:28.7400430Z AssertionError:
2025-06-01T21:26:28.7400570Z Arrays are not almost equal to 5 decimals
2025-06-01T21:26:28.7400740Z <BLANKLINE>
2025-06-01T21:26:28.7400850Z x and y nan location mismatch:
2025-06-01T21:26:28.7401050Z  x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-06-01T21:26:28.7401340Z  y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64)
2025-06-01T21:26:28.7401500Z 
2025-06-01T21:26:28.7401510Z 
2025-06-01T21:26:28.7401660Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.7848880Z 
2025-06-01T21:26:28.7849510Z msg = Cannot scrape callname=clear_and_catch_warnings in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1786.
2025-06-01T21:26:28.7850340Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.7850700Z Context manager that resets warning registry for catching warnings
2025-06-01T21:26:28.7850900Z 
2025-06-01T21:26:28.7851080Z     Warnings can be slippery, because, whenever a warning is triggered, Python
2025-06-01T21:26:28.7851430Z     adds a ``__warningregistry__`` member to the *calling* module.  This makes
2025-06-01T21:26:28.7851780Z     it impossible to retrigger the warning in this module, whatever you put in
2025-06-01T21:26:28.7852170Z     the warnings filters.  This context manager accepts a sequence of `modules`
2025-06-01T21:26:28.7852490Z     as a keyword argument to its constructor and:
2025-06-01T21:26:28.7852640Z 
2025-06-01T21:26:28.7852780Z     * stores and removes any ``__warningregistry__`` entries in given `modules`
2025-06-01T21:26:28.7853020Z       on entry;
2025-06-01T21:26:28.7853220Z     * resets ``__warningregistry__`` to its previous state on exit.
2025-06-01T21:26:28.7853400Z 
2025-06-01T21:26:28.7853530Z     This makes it possible to trigger any warning afresh inside the context
2025-06-01T21:26:28.7853850Z     manager without disturbing the state of warnings outside.
2025-06-01T21:26:28.7854020Z 
2025-06-01T21:26:28.7854160Z     For compatibility with Python 3.0, please consider all arguments to be
2025-06-01T21:26:28.7854410Z     keyword-only.
2025-06-01T21:26:28.7854500Z 
2025-06-01T21:26:28.7854540Z     Parameters
2025-06-01T21:26:28.7854710Z     ----------
2025-06-01T21:26:28.7854840Z     record : bool, optional
2025-06-01T21:26:28.7855060Z         Specifies whether warnings should be captured by a custom
2025-06-01T21:26:28.7855380Z         implementation of ``warnings.showwarning()`` and be appended to a list
2025-06-01T21:26:28.7855720Z         returned by the context manager. Otherwise None is returned by the
2025-06-01T21:26:28.7856040Z         context manager. The objects appended to the list are arguments whose
2025-06-01T21:26:28.7856350Z         attributes mirror the arguments to ``showwarning()``.
2025-06-01T21:26:28.7856570Z     modules : sequence, optional
2025-06-01T21:26:28.7856830Z         Sequence of modules for which to reset warnings registry on entry and
2025-06-01T21:26:28.7857150Z         restore on exit. To work correctly, all 'ignore' filters should
2025-06-01T21:26:28.7857390Z         filter by one of these modules.
2025-06-01T21:26:28.7857520Z 
2025-06-01T21:26:28.7857560Z     Examples
2025-06-01T21:26:28.7857680Z     --------
2025-06-01T21:26:28.7857800Z     >>> import warnings
2025-06-01T21:26:28.7858000Z     >>> with np.testing.clear_and_catch_warnings(  # doctest: +SKIP
2025-06-01T21:26:28.7858260Z     ...         modules=[np.core.fromnumeric]):
2025-06-01T21:26:28.7858470Z     ...     warnings.simplefilter('always')
2025-06-01T21:26:28.7858740Z     ...     warnings.filterwarnings('ignore', module='np.core.fromnumeric')
2025-06-01T21:26:28.7859050Z     ...     # do something that raises a warning but ignore those in
2025-06-01T21:26:28.7859270Z     ...     # np.core.fromnumeric
2025-06-01T21:26:28.7859430Z     
2025-06-01T21:26:28.7859640Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.7859860Z 
2025-06-01T21:26:28.7860330Z msg = Cannot scrape callname=DistributedDataParallel.join in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1753.
2025-06-01T21:26:28.7861010Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.7861230Z 
2025-06-01T21:26:28.7861380Z Context manager for training with uneven inputs across processes in DDP.
2025-06-01T21:26:28.7861580Z 
2025-06-01T21:26:28.7861720Z This context manager will keep track of already-joined DDP processes,
2025-06-01T21:26:28.7862040Z and "shadow" the forward and backward passes by inserting collective
2025-06-01T21:26:28.7862370Z communication operations to match with the ones created by non-joined
2025-06-01T21:26:28.7862770Z DDP processes. This will ensure each collective call has a corresponding
2025-06-01T21:26:28.7863110Z call by already-joined DDP processes, preventing hangs or errors that
2025-06-01T21:26:28.7863430Z would otherwise happen when training with uneven inputs across
2025-06-01T21:26:28.7863750Z processes. Alternatively, if the flag ``throw_on_early_termination`` is
2025-06-01T21:26:28.7864090Z specified to be ``True``, all trainers will throw an error once one rank
2025-06-01T21:26:28.7864390Z runs out of inputs, allowing these errors to be caught and handled
2025-06-01T21:26:28.7864660Z according to application logic.
2025-06-01T21:26:28.7864790Z 
2025-06-01T21:26:28.7864920Z Once all DDP processes have joined, the context manager will broadcast
2025-06-01T21:26:28.7865250Z the model corresponding to the last joined process to all processes to
2025-06-01T21:26:28.7865530Z ensure the model is the same across all processes
2025-06-01T21:26:28.7865750Z (which is guaranteed by DDP).
2025-06-01T21:26:28.7865860Z 
2025-06-01T21:26:28.7865980Z To use this to enable training with uneven inputs across processes,
2025-06-01T21:26:28.7866300Z simply wrap this context manager around your training loop. No further
2025-06-01T21:26:28.7866600Z modifications to the model or data loading is required.
2025-06-01T21:26:28.7866760Z 
2025-06-01T21:26:28.7866820Z .. warning::
2025-06-01T21:26:28.7867000Z     If the model or training loop this context manager is wrapped around
2025-06-01T21:26:28.7867370Z     has additional distributed collective operations, such as
2025-06-01T21:26:28.7867660Z     ``SyncBatchNorm`` in the model's forward pass, then the flag
2025-06-01T21:26:28.7867950Z     ``throw_on_early_termination`` must be enabled. This is because this
2025-06-01T21:26:28.7868250Z     context manager is not aware of non-DDP collective communication.
2025-06-01T21:26:28.7868540Z     This flag will cause all ranks to throw when any one rank
2025-06-01T21:26:28.7868820Z     exhausts inputs, allowing these errors to be caught and recovered
2025-06-01T21:26:28.7869100Z     from across all ranks.
2025-06-01T21:26:28.7869200Z 
2025-06-01T21:26:28.7869240Z Args:
2025-06-01T21:26:28.7869410Z     divide_by_initial_world_size (bool): If ``True``, will divide
2025-06-01T21:26:28.7869700Z         gradients by the initial ``world_size`` DDP training was launched
2025-06-01T21:26:28.7869980Z         with. If ``False``, will compute the effective world size
2025-06-01T21:26:28.7870250Z         (number of ranks that have not depleted their inputs yet) and
2025-06-01T21:26:28.7870510Z         divide gradients by that during allreduce. Set
2025-06-01T21:26:28.7870760Z         ``divide_by_initial_world_size=True`` to ensure every input
2025-06-01T21:26:28.7871050Z         sample including the uneven inputs have equal weight in terms of
2025-06-01T21:26:28.7871330Z         how much they contribute to the global gradient. This is
2025-06-01T21:26:28.7871590Z         achieved by always dividing the gradient by the initial
2025-06-01T21:26:28.7871870Z         ``world_size`` even when we encounter uneven inputs. If you set
2025-06-01T21:26:28.7872260Z         this to ``False``, we divide the gradient by the remaining
2025-06-01T21:26:28.7877470Z         number of nodes. This ensures parity with training on a smaller
2025-06-01T21:26:28.7877790Z         ``world_size`` although it also means the uneven inputs would
2025-06-01T21:26:28.7878070Z         contribute more towards the global gradient. Typically, you
2025-06-01T21:26:28.7878360Z         would want to set this to ``True`` for cases where the last few
2025-06-01T21:26:28.7878650Z         inputs of your training job are uneven. In extreme cases, where
2025-06-01T21:26:28.7879020Z         there is a large discrepancy in the number of inputs, setting
2025-06-01T21:26:28.7879290Z         this to ``False`` might provide better results.
2025-06-01T21:26:28.7879580Z     enable (bool): Whether to enable uneven input detection or not. Pass
2025-06-01T21:26:28.7879950Z         in ``enable=False`` to disable in cases where you know that
2025-06-01T21:26:28.7880230Z         inputs are even across participating processes. Default is
2025-06-01T21:26:28.7880460Z         ``True``.
2025-06-01T21:26:28.7880650Z     throw_on_early_termination (bool): Whether to throw an error
2025-06-01T21:26:28.7880930Z         or continue training when at least one rank has exhausted
2025-06-01T21:26:28.7881210Z         inputs. If ``True``, will throw upon the first rank reaching end
2025-06-01T21:26:28.7881490Z         of data. If ``False``, will continue training with a smaller
2025-06-01T21:26:28.7881810Z         effective world size until all ranks are joined. Note that if
2025-06-01T21:26:28.7882090Z         this flag is specified, then the flag
2025-06-01T21:26:28.7882340Z         ``divide_by_initial_world_size`` would be ignored. Default
2025-06-01T21:26:28.7882550Z         is ``False``.
2025-06-01T21:26:28.7882640Z 
2025-06-01T21:26:28.7882640Z 
2025-06-01T21:26:28.7882690Z Example::
2025-06-01T21:26:28.7882760Z 
2025-06-01T21:26:28.7882820Z     >>> # xdoctest: +SKIP("Distributed")
2025-06-01T21:26:28.7883000Z     >>> import torch
2025-06-01T21:26:28.7883150Z     >>> import torch.distributed as dist
2025-06-01T21:26:28.7883320Z     >>> import os
2025-06-01T21:26:28.7883470Z     >>> import torch.multiprocessing as mp
2025-06-01T21:26:28.7883660Z     >>> import torch.nn as nn
2025-06-01T21:26:28.7883820Z     >>> # On each spawned worker
2025-06-01T21:26:28.7884020Z     >>> def worker(rank):
2025-06-01T21:26:28.7884230Z     >>>     dist.init_process_group("nccl", rank=rank, world_size=2)
2025-06-01T21:26:28.7884470Z     >>>     torch.cuda.set_device(rank)
2025-06-01T21:26:28.7884680Z     >>>     model = nn.Linear(1, 1, bias=False).to(rank)
2025-06-01T21:26:28.7884930Z     >>>     model = torch.nn.parallel.DistributedDataParallel(
2025-06-01T21:26:28.7885190Z     >>>         model, device_ids=[rank], output_device=rank
2025-06-01T21:26:28.7885380Z     >>>     )
2025-06-01T21:26:28.7885530Z     >>>     # Rank 1 gets one more input than rank 0.
2025-06-01T21:26:28.7885790Z     >>>     inputs = [torch.tensor([1]).float() for _ in range(10 + rank)]
2025-06-01T21:26:28.7886030Z     >>>     with model.join():
2025-06-01T21:26:28.7886190Z     >>>         for _ in range(5):
2025-06-01T21:26:28.7886360Z     >>>             for inp in inputs:
2025-06-01T21:26:28.7886540Z     >>>                 loss = model(inp).sum()
2025-06-01T21:26:28.7886730Z     >>>                 loss.backward()
2025-06-01T21:26:28.7886970Z     >>>     # Without the join() API, the below synchronization will hang
2025-06-01T21:26:28.7887240Z     >>>     # blocking for rank 1's allreduce to complete.
2025-06-01T21:26:28.7887470Z     >>>     torch.cuda.synchronize(device=rank)
2025-06-01T21:26:28.7887600Z 
2025-06-01T21:26:28.7887750Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.7887970Z 
2025-06-01T21:26:28.7888480Z msg = Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2044.
2025-06-01T21:26:28.7889190Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.7889410Z 
2025-06-01T21:26:28.7889600Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction.
2025-06-01T21:26:28.7889850Z 
2025-06-01T21:26:28.7889970Z Registers an optimizer with DDP such that the optimization for a
2025-06-01T21:26:28.7890280Z parameter will run immediately when that parameter's gradient is
2025-06-01T21:26:28.7890580Z finished with reduction, instead of waiting for all parameters'
2025-06-01T21:26:28.7890900Z gradients to finish reduction. This can result in a training speedup
2025-06-01T21:26:28.7891230Z depending on your workload since the optimizer can run while gradient
2025-06-01T21:26:28.7891560Z reduction for other parameters are still ongoing. In addition, this has
2025-06-01T21:26:28.7891730Z the potential to reduce peak memory consumption during training, as it
2025-06-01T21:26:28.7891860Z only needs to load the per-parameter optimizer states of a single
2025-06-01T21:26:28.7891980Z parameter at a time, instead of loading all per-parameter optimizer
2025-06-01T21:26:28.7892030Z states at once.
2025-06-01T21:26:28.7892030Z 
2025-06-01T21:26:28.7892070Z Args:
2025-06-01T21:26:28.7892190Z     optim (Type): a ``torch.optim.Optimizer`` class to be registered
2025-06-01T21:26:28.7892240Z     as a fused optimizer.
2025-06-01T21:26:28.7892340Z     *args (Sequence[Any]): Arguments to forward to `optim`.
2025-06-01T21:26:28.7892500Z     optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters
2025-06-01T21:26:28.7892660Z     to optimize, similar to `params` argument of traditional `torch.optim`
2025-06-01T21:26:28.7892780Z     Optimizers. If this is omitted, all DDP model parameters will be
2025-06-01T21:26:28.7892830Z     optimized.
2025-06-01T21:26:28.7892940Z     **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`.
2025-06-01T21:26:28.7892950Z 
2025-06-01T21:26:28.7892990Z .. warning ::
2025-06-01T21:26:28.7893120Z     _register_fused_optim should only be called once on a DDP instance,
2025-06-01T21:26:28.7893240Z     and registering multiple fused optimizers for the same DDP model
2025-06-01T21:26:28.7893310Z     is not currently supported. Please ping
2025-06-01T21:26:28.7893490Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-06-01T21:26:28.7893540Z     for your use case.
2025-06-01T21:26:28.7893550Z 
2025-06-01T21:26:28.7893590Z .. warning ::
2025-06-01T21:26:28.7893710Z     _register_fused_optim and register_comm_hook currently do not
2025-06-01T21:26:28.7893840Z     compose together, meaning that custom DDP communication hooks are
2025-06-01T21:26:28.7893940Z     not supported with overlapped optimizers. Please ping
2025-06-01T21:26:28.7894070Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-06-01T21:26:28.7894120Z     for your use case.
2025-06-01T21:26:28.7894130Z 
2025-06-01T21:26:28.7894170Z .. warning ::
2025-06-01T21:26:28.7894300Z     Gradient accumulation and DDP `no_sync` are currently not supported
2025-06-01T21:26:28.7894370Z     with overlapped optimizer. Please ping
2025-06-01T21:26:28.7894500Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-06-01T21:26:28.7894550Z     for your use case.
2025-06-01T21:26:28.7894550Z 
2025-06-01T21:26:28.7894600Z Example::
2025-06-01T21:26:28.7894600Z 
2025-06-01T21:26:28.7894670Z     >>> # xdoctest: +SKIP("No rendezvous handler")
2025-06-01T21:26:28.7894850Z     >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...')
2025-06-01T21:26:28.7894980Z     >>> net = torch.nn.parallel.DistributedDataParallel(model, pg)
2025-06-01T21:26:28.7895020Z     >>> lr = 1e-2
2025-06-01T21:26:28.7895070Z     >>> betas = (0.9, 0.99)
2025-06-01T21:26:28.7895120Z     >>> eps = 1e-6
2025-06-01T21:26:28.7895260Z     >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps)
2025-06-01T21:26:28.7895320Z     >>> # Example with subset of parameters
2025-06-01T21:26:28.7895400Z     >>> params_to_opt = [list(net.parameters())[0]]
2025-06-01T21:26:28.7895460Z     >>> net._register_fused_optim(
2025-06-01T21:26:28.7895600Z     ...   torch.optim.Adam, lr, optim_params=params_to_opt,  betas=betas, eps=eps
2025-06-01T21:26:28.7895640Z     ... )
2025-06-01T21:26:28.7895640Z 
2025-06-01T21:26:28.7895790Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.8347730Z 
2025-06-01T21:26:28.8348340Z msg = Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=14.
2025-06-01T21:26:28.8349070Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.8349430Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``.
2025-06-01T21:26:28.8349730Z 
2025-06-01T21:26:28.8349900Z     The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-06-01T21:26:28.8350310Z     Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-06-01T21:26:28.8350710Z     This function is used to facilitate the computation to adopt NHWC kernels, which
2025-06-01T21:26:28.8351130Z     provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-06-01T21:26:28.8351380Z 
2025-06-01T21:26:28.8351430Z     .. note::
2025-06-01T21:26:28.8351710Z         Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive
2025-06-01T21:26:28.8352080Z         than the utility function ``convert_conv2d_weight_memory_format``. Any
2025-06-01T21:26:28.8352400Z         layer with 4d weight will be affected by ``model.to``, which does not
2025-06-01T21:26:28.8352730Z         necessarily benefit from conversion to specified ``memory_format``.
2025-06-01T21:26:28.8353080Z         One place we are confident in is that NHWC(channels_last) conversion for
2025-06-01T21:26:28.8353410Z         convolution in cuDNN, as it is beneficial to run convolution in NHWC,
2025-06-01T21:26:28.8353730Z         even in cases where we have to apply permutation to input tensors.
2025-06-01T21:26:28.8353920Z 
2025-06-01T21:26:28.8354060Z         Hence our strategy here is to convert only the weight of convolution to
2025-06-01T21:26:28.8354390Z         channels_last. This ensures that;
2025-06-01T21:26:28.8354660Z         1. Fast convolution kernels will be used, the benefit of which could
2025-06-01T21:26:28.8355000Z         outweigh overhead of permutation (if input is not in the same format).
2025-06-01T21:26:28.8355340Z         2. No unnecessary permutations are applied on layers that do not benefit
2025-06-01T21:26:28.8355610Z         from memory_format conversion.
2025-06-01T21:26:28.8355740Z 
2025-06-01T21:26:28.8355870Z         The optimal case is that, layers between convolution layers are channels
2025-06-01T21:26:28.8356200Z         last compatible. Input tensor would be permuted to channels last when it
2025-06-01T21:26:28.8356540Z         encounters the first convolution layer and stay in that memory format.
2025-06-01T21:26:28.8356880Z         Hence following convolutions will not need to permute its input tensor.
2025-06-01T21:26:28.8357090Z 
2025-06-01T21:26:28.8357220Z         In case where a channels last incompatible layer is between convolution
2025-06-01T21:26:28.8357550Z         layers, we need to permute the input tensor back to contiguous format
2025-06-01T21:26:28.8357870Z         for that layer. The input tensor will go through the remaining layers in
2025-06-01T21:26:28.8358210Z         contiguous format and be permuted to channels last when it encounters
2025-06-01T21:26:28.8358530Z         another convolution layer. There's no point in propagating that
2025-06-01T21:26:28.8358850Z         permutation to an earlier layer, as most layers are quite agnostic to
2025-06-01T21:26:28.8359100Z         ``memory_format``.
2025-06-01T21:26:28.8359200Z 
2025-06-01T21:26:28.8359340Z         This claim might change when PyTorch supports fusion of permutation, as
2025-06-01T21:26:28.8359680Z         there might have been a better spot to fuse the permutation other than
2025-06-01T21:26:28.8359940Z         immediately before a convolution.
2025-06-01T21:26:28.8360070Z 
2025-06-01T21:26:28.8360110Z     Args:
2025-06-01T21:26:28.8360310Z         module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container
2025-06-01T21:26:28.8360560Z                             ``nn.Module``
2025-06-01T21:26:28.8360780Z         memory_format: user specified ``memory_format``,
2025-06-01T21:26:28.8361040Z             e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-06-01T21:26:28.8361220Z 
2025-06-01T21:26:28.8361260Z     Returns:
2025-06-01T21:26:28.8361420Z         The original module with updated ``nn.Conv2d``
2025-06-01T21:26:28.8361600Z 
2025-06-01T21:26:28.8361650Z     Example:
2025-06-01T21:26:28.8361810Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-06-01T21:26:28.8362050Z         >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-06-01T21:26:28.8362350Z         >>> input = torch.randint(1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda")
2025-06-01T21:26:28.8362610Z         >>> model = nn.Sequential(
2025-06-01T21:26:28.8362800Z         >>>     nn.Conv2d(8, 4, 3)).cuda().half()
2025-06-01T21:26:28.8362990Z         >>> # This is identical to:
2025-06-01T21:26:28.8363270Z         >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-06-01T21:26:28.8363670Z         >>> model = nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-06-01T21:26:28.8363950Z         >>> out = model(input)
2025-06-01T21:26:28.8364090Z     
2025-06-01T21:26:28.8364310Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.8364520Z 
2025-06-01T21:26:28.8365020Z msg = Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=89.
2025-06-01T21:26:28.8365680Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.8366030Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format``
2025-06-01T21:26:28.8366460Z     The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-06-01T21:26:28.8366860Z     Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-06-01T21:26:28.8367240Z     This function is used to facilitate the computation to adopt NHWC kernels, which
2025-06-01T21:26:28.8367640Z     provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-06-01T21:26:28.8367940Z 
2025-06-01T21:26:28.8367980Z     .. note::
2025-06-01T21:26:28.8368210Z         Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive
2025-06-01T21:26:28.8368560Z         than the utility function ``convert_conv3d_weight_memory_format``. Any
2025-06-01T21:26:28.8368890Z         layer with 4d weight will be affected by ``model.to``, which does not
2025-06-01T21:26:28.8369220Z         necessarily benefit from conversion to specified ``memory_format``.
2025-06-01T21:26:28.8369560Z         One place we are confident in is that NDHWC(channels_last_3d) conversion for
2025-06-01T21:26:28.8369910Z         convolution in cuDNN, as it is beneficial to run convolution in NDHWC,
2025-06-01T21:26:28.8370230Z         even in cases where we have to apply permutation to input tensors.
2025-06-01T21:26:28.8370420Z 
2025-06-01T21:26:28.8370560Z         Hence our strategy here is to convert only the weight of convolution to
2025-06-01T21:26:28.8370830Z         channels_last_3d. This ensures that;
2025-06-01T21:26:28.8371090Z         1. Fast convolution kernels will be used, the benefit of which could
2025-06-01T21:26:28.8371420Z         outweigh overhead of permutation (if input is not in the same format).
2025-06-01T21:26:28.8371760Z         2. No unnecessary permutations are applied on layers that do not benefit
2025-06-01T21:26:28.8372020Z         from memory_format conversion.
2025-06-01T21:26:28.8372150Z 
2025-06-01T21:26:28.8372280Z         The optimal case is that, layers between convolution layers are channels
2025-06-01T21:26:28.8372620Z         last compatible. Input tensor would be permuted to channels last when it
2025-06-01T21:26:28.8372970Z         encounters the first convolution layer and stay in that memory format.
2025-06-01T21:26:28.8373320Z         Hence following convolutions will not need to permute its input tensor.
2025-06-01T21:26:28.8373530Z 
2025-06-01T21:26:28.8373660Z         In case where a channels last incompatible layer is between convolution
2025-06-01T21:26:28.8373990Z         layers, we need to permute the input tensor back to contiguous format
2025-06-01T21:26:28.8374360Z         for that layer. The input tensor will go through the remaining layers in
2025-06-01T21:26:28.8374700Z         contiguous format and be permuted to channels last when it encounters
2025-06-01T21:26:28.8375020Z         another convolution layer. There's no point in propagating that
2025-06-01T21:26:28.8375350Z         permutation to an earlier layer, as most layers are quite agnostic to
2025-06-01T21:26:28.8375600Z         ``memory_format``.
2025-06-01T21:26:28.8375700Z 
2025-06-01T21:26:28.8375840Z         This claim might change when PyTorch supports fusion of permutation, as
2025-06-01T21:26:28.8376310Z         there might have been a better spot to fuse the permutation other than
2025-06-01T21:26:28.8376650Z         immediately before a convolution.
2025-06-01T21:26:28.8376790Z 
2025-06-01T21:26:28.8376830Z     Args:
2025-06-01T21:26:28.8377030Z         module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container
2025-06-01T21:26:28.8377280Z                             ``nn.Module``
2025-06-01T21:26:28.8377500Z         memory_format: user specified ``memory_format``,
2025-06-01T21:26:28.8377770Z             e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-06-01T21:26:28.8377940Z 
2025-06-01T21:26:28.8377990Z     Returns:
2025-06-01T21:26:28.8378140Z         The original module with updated ``nn.Conv3d``
2025-06-01T21:26:28.8378290Z 
2025-06-01T21:26:28.8378330Z     Example:
2025-06-01T21:26:28.8378520Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-06-01T21:26:28.8378760Z         >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-06-01T21:26:28.8379060Z         >>> input = torch.randint(1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda")
2025-06-01T21:26:28.8379330Z         >>> model = nn.Sequential(
2025-06-01T21:26:28.8379520Z         >>>     nn.Conv3d(8, 4, 3)).cuda().half()
2025-06-01T21:26:28.8379710Z         >>> # This is identical to:
2025-06-01T21:26:28.8379980Z         >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-06-01T21:26:28.8380360Z         >>> model = nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-06-01T21:26:28.8380640Z         >>> out = model(input)
2025-06-01T21:26:28.8380790Z     
2025-06-01T21:26:28.8381010Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.8381220Z 
2025-06-01T21:26:28.8381630Z msg = Cannot scrape callname=random_structured in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py line=935.
2025-06-01T21:26:28.8382250Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.8382600Z Prune tensor by removing random channels along the specified dimension.
2025-06-01T21:26:28.8382800Z 
2025-06-01T21:26:28.8382950Z     Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-06-01T21:26:28.8383280Z     by removing the specified ``amount`` of (currently unpruned) channels
2025-06-01T21:26:28.8383560Z     along the specified ``dim`` selected at random.
2025-06-01T21:26:28.8383830Z     Modifies module in place (and also return the modified module)
2025-06-01T21:26:28.8384060Z     by:
2025-06-01T21:26:28.8384120Z 
2025-06-01T21:26:28.8384250Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-06-01T21:26:28.8384570Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-06-01T21:26:28.8384890Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-06-01T21:26:28.8385210Z        original (unpruned) parameter is stored in a new parameter named
2025-06-01T21:26:28.8385450Z        ``name+'_orig'``.
2025-06-01T21:26:28.8385550Z 
2025-06-01T21:26:28.8385590Z     Args:
2025-06-01T21:26:28.8385770Z         module (nn.Module): module containing the tensor to prune
2025-06-01T21:26:28.8386050Z         name (str): parameter name within ``module`` on which pruning
2025-06-01T21:26:28.8386310Z                 will act.
2025-06-01T21:26:28.8386510Z         amount (int or float): quantity of parameters to prune.
2025-06-01T21:26:28.8386790Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-06-01T21:26:28.8387080Z             fraction of parameters to prune. If ``int``, it represents the
2025-06-01T21:26:28.8387350Z             absolute number of parameters to prune.
2025-06-01T21:26:28.8387620Z         dim (int): index of the dim along which we define channels to prune.
2025-06-01T21:26:28.8387810Z 
2025-06-01T21:26:28.8387850Z     Returns:
2025-06-01T21:26:28.8388100Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-06-01T21:26:28.8388320Z 
2025-06-01T21:26:28.8388370Z     Examples:
2025-06-01T21:26:28.8388500Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:28.8388660Z         >>> m = prune.random_structured(
2025-06-01T21:26:28.8388870Z         ...     nn.Linear(5, 3), 'weight', amount=3, dim=1
2025-06-01T21:26:28.8389060Z         ... )
2025-06-01T21:26:28.8389240Z         >>> columns_pruned = int(sum(torch.sum(m.weight, dim=0) == 0))
2025-06-01T21:26:28.8389470Z         >>> print(columns_pruned)
2025-06-01T21:26:28.8389630Z         3
2025-06-01T21:26:28.8389730Z     
2025-06-01T21:26:28.8389940Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.8482280Z 
2025-06-01T21:26:28.8482920Z msg = Cannot scrape callname=ln_structured in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py line=976.
2025-06-01T21:26:28.8483590Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.8484010Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension.
2025-06-01T21:26:28.8484270Z 
2025-06-01T21:26:28.8484420Z     Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-06-01T21:26:28.8484770Z     by removing the specified ``amount`` of (currently unpruned) channels
2025-06-01T21:26:28.8485080Z     along the specified ``dim`` with the lowest L\ ``n``-norm.
2025-06-01T21:26:28.8485380Z     Modifies module in place (and also return the modified module)
2025-06-01T21:26:28.8485610Z     by:
2025-06-01T21:26:28.8485680Z 
2025-06-01T21:26:28.8485810Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-06-01T21:26:28.8486150Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-06-01T21:26:28.8486470Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-06-01T21:26:28.8486790Z        original (unpruned) parameter is stored in a new parameter named
2025-06-01T21:26:28.8487030Z        ``name+'_orig'``.
2025-06-01T21:26:28.8487130Z 
2025-06-01T21:26:28.8487170Z     Args:
2025-06-01T21:26:28.8487350Z         module (nn.Module): module containing the tensor to prune
2025-06-01T21:26:28.8487640Z         name (str): parameter name within ``module`` on which pruning
2025-06-01T21:26:28.8487860Z                 will act.
2025-06-01T21:26:28.8488060Z         amount (int or float): quantity of parameters to prune.
2025-06-01T21:26:28.8488340Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-06-01T21:26:28.8488640Z             fraction of parameters to prune. If ``int``, it represents the
2025-06-01T21:26:28.8488900Z             absolute number of parameters to prune.
2025-06-01T21:26:28.8489200Z         n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid
2025-06-01T21:26:28.8489480Z             entries for argument ``p`` in :func:`torch.norm`.
2025-06-01T21:26:28.8489760Z         dim (int): index of the dim along which we define channels to prune.
2025-06-01T21:26:28.8490090Z         importance_scores (torch.Tensor): tensor of importance scores (of same
2025-06-01T21:26:28.8490410Z             shape as module parameter) used to compute mask for pruning.
2025-06-01T21:26:28.8490720Z             The values in this tensor indicate the importance of the corresponding
2025-06-01T21:26:28.8491100Z             elements in the parameter being pruned.
2025-06-01T21:26:28.8491380Z             If unspecified or None, the module parameter will be used in its place.
2025-06-01T21:26:28.8491680Z 
2025-06-01T21:26:28.8491720Z     Returns:
2025-06-01T21:26:28.8497620Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-06-01T21:26:28.8497830Z 
2025-06-01T21:26:28.8497880Z     Examples:
2025-06-01T21:26:28.8498030Z         >>> from torch.nn.utils import prune
2025-06-01T21:26:28.8498220Z         >>> m = prune.ln_structured(
2025-06-01T21:26:28.8498500Z         ...     nn.Conv2d(5, 3, 2), 'weight', amount=0.3, dim=1, n=float('-inf')
2025-06-01T21:26:28.8498750Z         ... )
2025-06-01T21:26:28.8498870Z     
2025-06-01T21:26:28.8499070Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.8499290Z 
2025-06-01T21:26:28.8499700Z msg = Cannot scrape callname=global_unstructured in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1023.
2025-06-01T21:26:28.8500330Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.8500550Z 
2025-06-01T21:26:28.8500800Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``.
2025-06-01T21:26:28.8501120Z 
2025-06-01T21:26:28.8501210Z Modifies modules in place by:
2025-06-01T21:26:28.8501330Z 
2025-06-01T21:26:28.8501470Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-06-01T21:26:28.8501790Z    binary mask applied to the parameter ``name`` by the pruning method.
2025-06-01T21:26:28.8502120Z 2) replacing the parameter ``name`` by its pruned version, while the
2025-06-01T21:26:28.8502480Z    original (unpruned) parameter is stored in a new parameter named
2025-06-01T21:26:28.8502710Z    ``name+'_orig'``.
2025-06-01T21:26:28.8502810Z 
2025-06-01T21:26:28.8502840Z Args:
2025-06-01T21:26:28.8503030Z     parameters (Iterable of (module, name) tuples): parameters of
2025-06-01T21:26:28.8503330Z         the model to prune in a global fashion, i.e. by aggregating all
2025-06-01T21:26:28.8503650Z         weights prior to deciding which ones to prune. module must be of
2025-06-01T21:26:28.8503940Z         type :class:`nn.Module`, and name must be a string.
2025-06-01T21:26:28.8504230Z     pruning_method (function): a valid pruning function from this module,
2025-06-01T21:26:28.8504540Z         or a custom one implemented by the user that satisfies the
2025-06-01T21:26:28.8504850Z         implementation guidelines and has ``PRUNING_TYPE='unstructured'``.
2025-06-01T21:26:28.8505190Z     importance_scores (dict): a dictionary mapping (module, name) tuples to
2025-06-01T21:26:28.8505530Z         the corresponding parameter's importance scores tensor. The tensor
2025-06-01T21:26:28.8505850Z         should be the same shape as the parameter, and is used for computing
2025-06-01T21:26:28.8506090Z         mask for pruning.
2025-06-01T21:26:28.8506320Z         If unspecified or None, the parameter will be used in place of its
2025-06-01T21:26:28.8506560Z         importance scores.
2025-06-01T21:26:28.8506730Z     kwargs: other keyword arguments such as:
2025-06-01T21:26:28.8506980Z         amount (int or float): quantity of parameters to prune across the
2025-06-01T21:26:28.8507230Z         specified parameters.
2025-06-01T21:26:28.8507440Z         If ``float``, should be between 0.0 and 1.0 and represent the
2025-06-01T21:26:28.8507730Z         fraction of parameters to prune. If ``int``, it represents the
2025-06-01T21:26:28.8507990Z         absolute number of parameters to prune.
2025-06-01T21:26:28.8508130Z 
2025-06-01T21:26:28.8508170Z Raises:
2025-06-01T21:26:28.8508330Z     TypeError: if ``PRUNING_TYPE != 'unstructured'``
2025-06-01T21:26:28.8508480Z 
2025-06-01T21:26:28.8508520Z Note:
2025-06-01T21:26:28.8508710Z     Since global structured pruning doesn't make much sense unless the
2025-06-01T21:26:28.8509060Z     norm is normalized by the size of the parameter, we now limit the
2025-06-01T21:26:28.8509330Z     scope of global pruning to unstructured methods.
2025-06-01T21:26:28.8509490Z 
2025-06-01T21:26:28.8509530Z Examples:
2025-06-01T21:26:28.8509660Z     >>> from torch.nn.utils import prune
2025-06-01T21:26:28.8509850Z     >>> from collections import OrderedDict
2025-06-01T21:26:28.8510050Z     >>> net = nn.Sequential(OrderedDict([
2025-06-01T21:26:28.8510240Z     ...     ('first', nn.Linear(10, 4)),
2025-06-01T21:26:28.8510420Z     ...     ('second', nn.Linear(4, 1)),
2025-06-01T21:26:28.8510600Z     ... ]))
2025-06-01T21:26:28.8510740Z     >>> parameters_to_prune = (
2025-06-01T21:26:28.8510900Z     ...     (net.first, 'weight'),
2025-06-01T21:26:28.8511090Z     ...     (net.second, 'weight'),
2025-06-01T21:26:28.8511250Z     ... )
2025-06-01T21:26:28.8511370Z     >>> prune.global_unstructured(
2025-06-01T21:26:28.8511540Z     ...     parameters_to_prune,
2025-06-01T21:26:28.8511730Z     ...     pruning_method=prune.L1Unstructured,
2025-06-01T21:26:28.8511930Z     ...     amount=10,
2025-06-01T21:26:28.8512050Z     ... )
2025-06-01T21:26:28.8512250Z     >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0))
2025-06-01T21:26:28.8512500Z     tensor(10)
2025-06-01T21:26:28.8512580Z 
2025-06-01T21:26:28.8512580Z 
2025-06-01T21:26:28.8512730Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.8512990Z 
2025-06-01T21:26:28.8513400Z msg = Cannot scrape callname=custom_from_mask in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1142.
2025-06-01T21:26:28.8514030Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.8514480Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``.
2025-06-01T21:26:28.8514770Z 
2025-06-01T21:26:28.8514900Z     Modifies module in place (and also return the modified module) by:
2025-06-01T21:26:28.8515100Z 
2025-06-01T21:26:28.8515220Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-06-01T21:26:28.8515540Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-06-01T21:26:28.8515870Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-06-01T21:26:28.8516190Z        original (unpruned) parameter is stored in a new parameter named
2025-06-01T21:26:28.8516430Z        ``name+'_orig'``.
2025-06-01T21:26:28.8516530Z 
2025-06-01T21:26:28.8516570Z     Args:
2025-06-01T21:26:28.8516740Z         module (nn.Module): module containing the tensor to prune
2025-06-01T21:26:28.8517030Z         name (str): parameter name within ``module`` on which pruning
2025-06-01T21:26:28.8517250Z             will act.
2025-06-01T21:26:28.8517440Z         mask (Tensor): binary mask to be applied to the parameter.
2025-06-01T21:26:28.8517620Z 
2025-06-01T21:26:28.8517660Z     Returns:
2025-06-01T21:26:28.8517860Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-06-01T21:26:28.8518060Z 
2025-06-01T21:26:28.8518100Z     Examples:
2025-06-01T21:26:28.8518240Z         >>> from torch.nn.utils import prune
2025-06-01T21:26:28.8518440Z         >>> m = prune.custom_from_mask(
2025-06-01T21:26:28.8518670Z         ...     nn.Linear(5, 3), name='bias', mask=torch.tensor([0, 1, 0])
2025-06-01T21:26:28.8518880Z         ... )
2025-06-01T21:26:28.8519010Z         >>> print(m.bias_mask)
2025-06-01T21:26:28.8519170Z         tensor([0., 1., 0.])
2025-06-01T21:26:28.8519270Z 
2025-06-01T21:26:28.8519310Z     
2025-06-01T21:26:28.8519520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.8519740Z 
2025-06-01T21:26:28.8520130Z msg = Cannot scrape callname=Unflatten in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=60.
2025-06-01T21:26:28.8520770Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.8520990Z 
2025-06-01T21:26:28.8521170Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`.
2025-06-01T21:26:28.8521430Z 
2025-06-01T21:26:28.8521590Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can
2025-06-01T21:26:28.8521960Z   be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively.
2025-06-01T21:26:28.8522160Z 
2025-06-01T21:26:28.8522400Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be
2025-06-01T21:26:28.8522840Z   a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input;  a `NamedShape`
2025-06-01T21:26:28.8523160Z   (tuple of `(name, size)` tuples) for `NamedTensor` input.
2025-06-01T21:26:28.8523330Z 
2025-06-01T21:26:28.8523370Z Shape:
2025-06-01T21:26:28.8523570Z     - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at
2025-06-01T21:26:28.8523920Z       dimension :attr:`dim` and :math:`*` means any number of dimensions including none.
2025-06-01T21:26:28.8524270Z     - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and
2025-06-01T21:26:28.8524540Z       :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`.
2025-06-01T21:26:28.8524690Z 
2025-06-01T21:26:28.8524730Z Args:
2025-06-01T21:26:28.8524910Z     dim (Union[int, str]): Dimension to be unflattened
2025-06-01T21:26:28.8525280Z     unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension
2025-06-01T21:26:28.8525550Z 
2025-06-01T21:26:28.8525590Z Examples:
2025-06-01T21:26:28.8525710Z     >>> input = torch.randn(2, 50)
2025-06-01T21:26:28.8525890Z     >>> # With tuple of ints
2025-06-01T21:26:28.8526040Z     >>> m = nn.Sequential(
2025-06-01T21:26:28.8526190Z     >>>     nn.Linear(50, 50),
2025-06-01T21:26:28.8526360Z     >>>     nn.Unflatten(1, (2, 5, 5))
2025-06-01T21:26:28.8526520Z     >>> )
2025-06-01T21:26:28.8526630Z     >>> output = m(input)
2025-06-01T21:26:28.8526780Z     >>> output.size()
2025-06-01T21:26:28.8526920Z     torch.Size([2, 2, 5, 5])
2025-06-01T21:26:28.8527070Z     >>> # With torch.Size
2025-06-01T21:26:28.8527210Z     >>> m = nn.Sequential(
2025-06-01T21:26:28.8527360Z     >>>     nn.Linear(50, 50),
2025-06-01T21:26:28.8527530Z     >>>     nn.Unflatten(1, torch.Size([2, 5, 5]))
2025-06-01T21:26:28.8527720Z     >>> )
2025-06-01T21:26:28.8527830Z     >>> output = m(input)
2025-06-01T21:26:28.8527970Z     >>> output.size()
2025-06-01T21:26:28.8528110Z     torch.Size([2, 2, 5, 5])
2025-06-01T21:26:28.8528280Z     >>> # With namedshape (tuple of tuples)
2025-06-01T21:26:28.8528500Z     >>> input = torch.randn(2, 50, names=('N', 'features'))
2025-06-01T21:26:28.8528780Z     >>> unflatten = nn.Unflatten('features', (('C', 2), ('H', 5), ('W', 5)))
2025-06-01T21:26:28.8529030Z     >>> output = unflatten(input)
2025-06-01T21:26:28.8529190Z     >>> output.size()
2025-06-01T21:26:28.8529330Z     torch.Size([2, 2, 5, 5])
2025-06-01T21:26:28.8529430Z 
2025-06-01T21:26:28.8529580Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.9019410Z 
2025-06-01T21:26:28.9020070Z msg = Cannot scrape callname=SyncBatchNorm in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=601.
2025-06-01T21:26:28.9020740Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.9021070Z Applies Batch Normalization over a N-Dimensional input.
2025-06-01T21:26:28.9021250Z 
2025-06-01T21:26:28.9021470Z     The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper
2025-06-01T21:26:28.9021900Z     `Batch Normalization: Accelerating Deep Network Training by Reducing
2025-06-01T21:26:28.9022240Z     Internal Covariate Shift <https://arxiv.org/abs/1502.03167>`__ .
2025-06-01T21:26:28.9022560Z 
2025-06-01T21:26:28.9022620Z     .. math::
2025-06-01T21:26:28.9022700Z 
2025-06-01T21:26:28.9022840Z         y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
2025-06-01T21:26:28.9023050Z 
2025-06-01T21:26:28.9023200Z     The mean and standard-deviation are calculated per-dimension over all
2025-06-01T21:26:28.9023550Z     mini-batches of the same process groups. :math:`\gamma` and :math:`\beta`
2025-06-01T21:26:28.9023910Z     are learnable parameter vectors of size `C` (where `C` is the input size).
2025-06-01T21:26:28.9024290Z     By default, the elements of :math:`\gamma` are sampled from
2025-06-01T21:26:28.9024620Z     :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0.
2025-06-01T21:26:28.9024960Z     The standard-deviation is calculated via the biased estimator, equivalent to
2025-06-01T21:26:28.9025240Z     `torch.var(input, unbiased=False)`.
2025-06-01T21:26:28.9025380Z 
2025-06-01T21:26:28.9025520Z     Also by default, during training this layer keeps running estimates of its
2025-06-01T21:26:28.9025870Z     computed mean and variance, which are then used for normalization during
2025-06-01T21:26:28.9026220Z     evaluation. The running estimates are kept with a default :attr:`momentum`
2025-06-01T21:26:28.9026470Z     of 0.1.
2025-06-01T21:26:28.9026540Z 
2025-06-01T21:26:28.9026680Z     If :attr:`track_running_stats` is set to ``False``, this layer then does not
2025-06-01T21:26:28.9027060Z     keep running estimates, and batch statistics are instead used during
2025-06-01T21:26:28.9027320Z     evaluation time as well.
2025-06-01T21:26:28.9027430Z 
2025-06-01T21:26:28.9027470Z     .. note::
2025-06-01T21:26:28.9027670Z         This :attr:`momentum` argument is different from one used in optimizer
2025-06-01T21:26:28.9028000Z         classes and the conventional notion of momentum. Mathematically, the
2025-06-01T21:26:28.9028280Z         update rule for running statistics here is
2025-06-01T21:26:28.9028650Z         :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`,
2025-06-01T21:26:28.9029000Z         where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the
2025-06-01T21:26:28.9029240Z         new observed value.
2025-06-01T21:26:28.9029350Z 
2025-06-01T21:26:28.9029530Z     Because the Batch Normalization is done for each channel in the ``C`` dimension, computing
2025-06-01T21:26:28.9029920Z     statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch
2025-06-01T21:26:28.9030240Z     Normalization or Spatio-temporal Batch Normalization.
2025-06-01T21:26:28.9030420Z 
2025-06-01T21:26:28.9030500Z     Currently :class:`SyncBatchNorm` only supports
2025-06-01T21:26:28.9030830Z     :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use
2025-06-01T21:26:28.9031200Z     :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert
2025-06-01T21:26:28.9031520Z     :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping
2025-06-01T21:26:28.9031760Z     Network with DDP.
2025-06-01T21:26:28.9031850Z 
2025-06-01T21:26:28.9031900Z     Args:
2025-06-01T21:26:28.9032060Z         num_features: :math:`C` from an expected input of size
2025-06-01T21:26:28.9032280Z             :math:`(N, C, +)`
2025-06-01T21:26:28.9032500Z         eps: a value added to the denominator for numerical stability.
2025-06-01T21:26:28.9032730Z             Default: ``1e-5``
2025-06-01T21:26:28.9032950Z         momentum: the value used for the running_mean and running_var
2025-06-01T21:26:28.9033260Z             computation. Can be set to ``None`` for cumulative moving average
2025-06-01T21:26:28.9033530Z             (i.e. simple average). Default: 0.1
2025-06-01T21:26:28.9033800Z         affine: a boolean value that when set to ``True``, this module has
2025-06-01T21:26:28.9034070Z             learnable affine parameters. Default: ``True``
2025-06-01T21:26:28.9034360Z         track_running_stats: a boolean value that when set to ``True``, this
2025-06-01T21:26:28.9034740Z             module tracks the running mean and variance, and when set to ``False``,
2025-06-01T21:26:28.9035090Z             this module does not track such statistics, and initializes statistics
2025-06-01T21:26:28.9035420Z             buffers :attr:`running_mean` and :attr:`running_var` as ``None``.
2025-06-01T21:26:28.9035740Z             When these buffers are ``None``, this module always uses batch statistics.
2025-06-01T21:26:28.9036040Z             in both training and eval modes. Default: ``True``
2025-06-01T21:26:28.9036370Z         process_group: synchronization of stats happen within each process group
2025-06-01T21:26:28.9036740Z             individually. Default behavior is synchronization across the whole
2025-06-01T21:26:28.9036990Z             world
2025-06-01T21:26:28.9037070Z 
2025-06-01T21:26:28.9037120Z     Shape:
2025-06-01T21:26:28.9037240Z         - Input: :math:`(N, C, +)`
2025-06-01T21:26:28.9037450Z         - Output: :math:`(N, C, +)` (same shape as input)
2025-06-01T21:26:28.9037600Z 
2025-06-01T21:26:28.9037650Z     .. note::
2025-06-01T21:26:28.9037860Z         Synchronization of batchnorm statistics occurs only while training, i.e.
2025-06-01T21:26:28.9038190Z         synchronization is disabled when ``model.eval()`` is set or if
2025-06-01T21:26:28.9038450Z         ``self.training`` is otherwise ``False``.
2025-06-01T21:26:28.9038590Z 
2025-06-01T21:26:28.9038640Z     Examples::
2025-06-01T21:26:28.9038710Z 
2025-06-01T21:26:28.9038800Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:28.9038970Z         >>> # With Learnable Parameters
2025-06-01T21:26:28.9039160Z         >>> m = nn.SyncBatchNorm(100)
2025-06-01T21:26:28.9039360Z         >>> # creating process group (optional)
2025-06-01T21:26:28.9039640Z         >>> # ranks is a list of int identifying rank ids.
2025-06-01T21:26:28.9039850Z         >>> ranks = list(range(8))
2025-06-01T21:26:28.9040030Z         >>> r1, r2 = ranks[:4], ranks[4:]
2025-06-01T21:26:28.9040240Z         >>> # Note: every rank calls into new_group for every
2025-06-01T21:26:28.9040490Z         >>> # process group created, even if that rank is not
2025-06-01T21:26:28.9040700Z         >>> # part of the group.
2025-06-01T21:26:28.9040960Z         >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-06-01T21:26:28.9041310Z         >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-06-01T21:26:28.9041560Z         >>> # Without Learnable Parameters
2025-06-01T21:26:28.9041810Z         >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group)
2025-06-01T21:26:28.9042080Z         >>> input = torch.randn(20, 100, 35, 45, 10)
2025-06-01T21:26:28.9042280Z         >>> output = m(input)
2025-06-01T21:26:28.9042380Z 
2025-06-01T21:26:28.9042450Z         >>> # network is nn.BatchNorm layer
2025-06-01T21:26:28.9042740Z         >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group)
2025-06-01T21:26:28.9043070Z         >>> # only single gpu per process is currently supported
2025-06-01T21:26:28.9043370Z         >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel(
2025-06-01T21:26:28.9043630Z         >>>                         sync_bn_network,
2025-06-01T21:26:28.9043850Z         >>>                         device_ids=[args.local_rank],
2025-06-01T21:26:28.9044070Z         >>>                         output_device=args.local_rank)
2025-06-01T21:26:28.9044260Z     
2025-06-01T21:26:28.9044470Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.9044680Z 
2025-06-01T21:26:28.9045160Z msg = Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=825.
2025-06-01T21:26:28.9045850Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.9046250Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers.
2025-06-01T21:26:28.9046560Z 
2025-06-01T21:26:28.9046600Z         Args:
2025-06-01T21:26:28.9046820Z             module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers
2025-06-01T21:26:28.9047170Z             process_group (optional): process group to scope synchronization,
2025-06-01T21:26:28.9047430Z                 default is the whole world
2025-06-01T21:26:28.9047560Z 
2025-06-01T21:26:28.9047610Z         Returns:
2025-06-01T21:26:28.9047840Z             The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm`
2025-06-01T21:26:28.9048220Z             layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer,
2025-06-01T21:26:28.9048570Z             a new :class:`torch.nn.SyncBatchNorm` layer object will be returned
2025-06-01T21:26:28.9048830Z             instead.
2025-06-01T21:26:28.9048920Z 
2025-06-01T21:26:28.9048970Z         Example::
2025-06-01T21:26:28.9049050Z 
2025-06-01T21:26:28.9049120Z             >>> # Network with nn.BatchNorm layer
2025-06-01T21:26:28.9049340Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-06-01T21:26:28.9049570Z             >>> module = torch.nn.Sequential(
2025-06-01T21:26:28.9049770Z             >>>            torch.nn.Linear(20, 100),
2025-06-01T21:26:28.9049980Z             >>>            torch.nn.BatchNorm1d(100),
2025-06-01T21:26:28.9050170Z             >>>          ).cuda()
2025-06-01T21:26:28.9050400Z             >>> # creating process group (optional)
2025-06-01T21:26:28.9050640Z             >>> # ranks is a list of int identifying rank ids.
2025-06-01T21:26:28.9050850Z             >>> ranks = list(range(8))
2025-06-01T21:26:28.9051040Z             >>> r1, r2 = ranks[:4], ranks[4:]
2025-06-01T21:26:28.9051260Z             >>> # Note: every rank calls into new_group for every
2025-06-01T21:26:28.9051510Z             >>> # process group created, even if that rank is not
2025-06-01T21:26:28.9051720Z             >>> # part of the group.
2025-06-01T21:26:28.9051910Z             >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:28.9052190Z             >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-06-01T21:26:28.9052540Z             >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-06-01T21:26:28.9052900Z             >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group)
2025-06-01T21:26:28.9053140Z 
2025-06-01T21:26:28.9053180Z         
2025-06-01T21:26:28.9053400Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.9053610Z 
2025-06-01T21:26:28.9054020Z msg = Cannot scrape callname=MaxUnpool2d in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=406.
2025-06-01T21:26:28.9054640Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.9054940Z Computes a partial inverse of :class:`MaxPool2d`.
2025-06-01T21:26:28.9055090Z 
2025-06-01T21:26:28.9055250Z     :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost.
2025-06-01T21:26:28.9055480Z 
2025-06-01T21:26:28.9055610Z     :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d`
2025-06-01T21:26:28.9055960Z     including the indices of the maximal values and computes a partial inverse
2025-06-01T21:26:28.9056250Z     in which all non-maximal values are set to zero.
2025-06-01T21:26:28.9056400Z 
2025-06-01T21:26:28.9056440Z     Note:
2025-06-01T21:26:28.9056700Z         This operation may behave nondeterministically when the input indices has repeat values.
2025-06-01T21:26:28.9057320Z         See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information.
2025-06-01T21:26:28.9057670Z 
2025-06-01T21:26:28.9057810Z     .. note:: :class:`MaxPool2d` can map several input sizes to the same output
2025-06-01T21:26:28.9063990Z               sizes. Hence, the inversion process can get ambiguous.
2025-06-01T21:26:28.9064450Z               To accommodate this, you can provide the needed output size
2025-06-01T21:26:28.9064760Z               as an additional argument :attr:`output_size` in the forward call.
2025-06-01T21:26:28.9065020Z               See the Inputs and Example below.
2025-06-01T21:26:28.9065160Z 
2025-06-01T21:26:28.9065200Z     Args:
2025-06-01T21:26:28.9065380Z         kernel_size (int or tuple): Size of the max pooling window.
2025-06-01T21:26:28.9065660Z         stride (int or tuple): Stride of the max pooling window.
2025-06-01T21:26:28.9065960Z             It is set to :attr:`kernel_size` by default.
2025-06-01T21:26:28.9066250Z         padding (int or tuple): Padding that was added to the input
2025-06-01T21:26:28.9066430Z 
2025-06-01T21:26:28.9066470Z     Inputs:
2025-06-01T21:26:28.9066620Z         - `input`: the input Tensor to invert
2025-06-01T21:26:28.9066880Z         - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d`
2025-06-01T21:26:28.9067170Z         - `output_size` (optional): the targeted output size
2025-06-01T21:26:28.9067330Z 
2025-06-01T21:26:28.9067370Z     Shape:
2025-06-01T21:26:28.9067550Z         - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`.
2025-06-01T21:26:28.9067870Z         - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where
2025-06-01T21:26:28.9068060Z 
2025-06-01T21:26:28.9068110Z           .. math::
2025-06-01T21:26:28.9068390Z             H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]}
2025-06-01T21:26:28.9068620Z 
2025-06-01T21:26:28.9068670Z           .. math::
2025-06-01T21:26:28.9068910Z             W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]}
2025-06-01T21:26:28.9069130Z 
2025-06-01T21:26:28.9069230Z           or as given by :attr:`output_size` in the call operator
2025-06-01T21:26:28.9069400Z 
2025-06-01T21:26:28.9069450Z     Example::
2025-06-01T21:26:28.9069530Z 
2025-06-01T21:26:28.9069630Z         >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True)
2025-06-01T21:26:28.9069860Z         >>> unpool = nn.MaxUnpool2d(2, stride=2)
2025-06-01T21:26:28.9070080Z         >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.],
2025-06-01T21:26:28.9070290Z                                     [ 5.,  6.,  7.,  8.],
2025-06-01T21:26:28.9070490Z                                     [ 9., 10., 11., 12.],
2025-06-01T21:26:28.9070700Z                                     [13., 14., 15., 16.]]]])
2025-06-01T21:26:28.9070900Z         >>> output, indices = pool(input)
2025-06-01T21:26:28.9071080Z         >>> unpool(output, indices)
2025-06-01T21:26:28.9071260Z         tensor([[[[  0.,   0.,   0.,   0.],
2025-06-01T21:26:28.9071440Z                   [  0.,   6.,   0.,   8.],
2025-06-01T21:26:28.9071620Z                   [  0.,   0.,   0.,   0.],
2025-06-01T21:26:28.9071790Z                   [  0.,  14.,   0.,  16.]]]])
2025-06-01T21:26:28.9072050Z         >>> # Now using output_size to resolve an ambiguous size for the inverse
2025-06-01T21:26:28.9072330Z         >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.,  5.],
2025-06-01T21:26:28.9072550Z                                     [ 6.,  7.,  8.,  9., 10.],
2025-06-01T21:26:28.9072750Z                                     [11., 12., 13., 14., 15.],
2025-06-01T21:26:28.9072960Z                                     [16., 17., 18., 19., 20.]]]])
2025-06-01T21:26:28.9073160Z         >>> output, indices = pool(input)
2025-06-01T21:26:28.9073390Z         >>> # This call will not work without specifying output_size
2025-06-01T21:26:28.9073660Z         >>> unpool(output, indices, output_size=input.size())
2025-06-01T21:26:28.9073880Z         tensor([[[[ 0.,  0.,  0.,  0.,  0.],
2025-06-01T21:26:28.9074060Z                   [ 0.,  7.,  0.,  9.,  0.],
2025-06-01T21:26:28.9074240Z                   [ 0.,  0.,  0.,  0.,  0.],
2025-06-01T21:26:28.9074420Z                   [ 0., 17.,  0., 19.,  0.]]]])
2025-06-01T21:26:28.9074580Z 
2025-06-01T21:26:28.9074580Z 
2025-06-01T21:26:28.9074630Z     
2025-06-01T21:26:28.9074830Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.9905280Z 
2025-06-01T21:26:28.9905930Z msg = Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1700.
2025-06-01T21:26:28.9906670Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.9907020Z Creates a criterion that measures the triplet loss given input
2025-06-01T21:26:28.9907480Z     tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor,
2025-06-01T21:26:28.9907830Z     positive, and negative examples, respectively), and a nonnegative,
2025-06-01T21:26:28.9908190Z     real-valued function ("distance function") used to compute the relationship
2025-06-01T21:26:28.9908530Z     between the anchor and positive example ("positive distance") and the
2025-06-01T21:26:28.9908830Z     anchor and negative example ("negative distance").
2025-06-01T21:26:28.9908980Z 
2025-06-01T21:26:28.9909120Z     The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``)
2025-06-01T21:26:28.9909360Z     can be described as:
2025-06-01T21:26:28.9909460Z 
2025-06-01T21:26:28.9909520Z     .. math::
2025-06-01T21:26:28.9909670Z         \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad
2025-06-01T21:26:28.9910010Z         l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\}
2025-06-01T21:26:28.9910190Z 
2025-06-01T21:26:28.9910340Z     where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function
2025-06-01T21:26:28.9910730Z     quantifying the closeness of two tensors, referred to as the :attr:`distance_function`;
2025-06-01T21:26:28.9911120Z     and :math:`margin` is a nonnegative margin representing the minimum difference
2025-06-01T21:26:28.9911470Z     between the positive and negative distances that is required for the loss to
2025-06-01T21:26:28.9911830Z     be 0.  The input tensors have :math:`N` elements each and can be of any shape
2025-06-01T21:26:28.9912100Z     that the distance function can handle.
2025-06-01T21:26:28.9912230Z 
2025-06-01T21:26:28.9912300Z     If :attr:`reduction` is not ``'none'``
2025-06-01T21:26:28.9912480Z     (default ``'mean'``), then:
2025-06-01T21:26:28.9912590Z 
2025-06-01T21:26:28.9912640Z     .. math::
2025-06-01T21:26:28.9912690Z         \ell(x, y) =
2025-06-01T21:26:28.9912730Z         \begin{cases}
2025-06-01T21:26:28.9912860Z             \operatorname{mean}(L), &  \text{if reduction} = \text{`mean';}\\
2025-06-01T21:26:28.9912980Z             \operatorname{sum}(L),  &  \text{if reduction} = \text{`sum'.}
2025-06-01T21:26:28.9913030Z         \end{cases}
2025-06-01T21:26:28.9913030Z 
2025-06-01T21:26:28.9913170Z     See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet
2025-06-01T21:26:28.9913320Z     loss for input tensors using the :math:`l_p` distance as the distance function.
2025-06-01T21:26:28.9913330Z 
2025-06-01T21:26:28.9913370Z     Args:
2025-06-01T21:26:28.9913530Z         distance_function (Callable, optional): A nonnegative, real-valued function that
2025-06-01T21:26:28.9913650Z             quantifies the closeness of two tensors. If not specified,
2025-06-01T21:26:28.9913750Z             `nn.PairwiseDistance` will be used.  Default: ``None``
2025-06-01T21:26:28.9913910Z         margin (float, optional): A nonnegative margin representing the minimum difference
2025-06-01T21:26:28.9914080Z             between the positive and negative distances required for the loss to be 0. Larger
2025-06-01T21:26:28.9914240Z             margins penalize cases where the negative examples are not distant enough from the
2025-06-01T21:26:28.9914360Z             anchors, relative to the positives. Default: :math:`1`.
2025-06-01T21:26:28.9914500Z         swap (bool, optional): Whether to use the distance swap described in the paper
2025-06-01T21:26:28.9914780Z             `Learning shallow convolutional feature descriptors with triplet losses` by
2025-06-01T21:26:28.9914920Z             V. Balntas, E. Riba et al. If True, and if the positive example is closer to the
2025-06-01T21:26:28.9915080Z             negative example than the anchor is, swaps the positive example and the anchor in
2025-06-01T21:26:28.9915160Z             the loss computation. Default: ``False``.
2025-06-01T21:26:28.9915330Z         reduction (str, optional): Specifies the (optional) reduction to apply to the output:
2025-06-01T21:26:28.9915470Z             ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-06-01T21:26:28.9915610Z             ``'mean'``: the sum of the output will be divided by the number of
2025-06-01T21:26:28.9915760Z             elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'``
2025-06-01T21:26:28.9915760Z 
2025-06-01T21:26:28.9915760Z 
2025-06-01T21:26:28.9915810Z     Shape:
2025-06-01T21:26:28.9915950Z         - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions
2025-06-01T21:26:28.9916030Z           as supported by the distance function.
2025-06-01T21:26:28.9916180Z         - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar
2025-06-01T21:26:28.9916230Z           otherwise.
2025-06-01T21:26:28.9916230Z 
2025-06-01T21:26:28.9916280Z     Examples:
2025-06-01T21:26:28.9916280Z 
2025-06-01T21:26:28.9916340Z     >>> # Initialize embeddings
2025-06-01T21:26:28.9916440Z     >>> embedding = nn.Embedding(1000, 128)
2025-06-01T21:26:28.9916520Z     >>> anchor_ids = torch.randint(0, 1000, (1,))
2025-06-01T21:26:28.9916600Z     >>> positive_ids = torch.randint(0, 1000, (1,))
2025-06-01T21:26:28.9916670Z     >>> negative_ids = torch.randint(0, 1000, (1,))
2025-06-01T21:26:28.9916730Z     >>> anchor = embedding(anchor_ids)
2025-06-01T21:26:28.9916790Z     >>> positive = embedding(positive_ids)
2025-06-01T21:26:28.9916860Z     >>> negative = embedding(negative_ids)
2025-06-01T21:26:28.9916900Z     >>>
2025-06-01T21:26:28.9916960Z     >>> # Built-in Distance Function
2025-06-01T21:26:28.9917010Z     >>> triplet_loss = \
2025-06-01T21:26:28.9917170Z     >>>     nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance())
2025-06-01T21:26:28.9917270Z     >>> output = triplet_loss(anchor, positive, negative)
2025-06-01T21:26:28.9917320Z     >>> output.backward()
2025-06-01T21:26:28.9917360Z     >>>
2025-06-01T21:26:28.9917420Z     >>> # Custom Distance Function
2025-06-01T21:26:28.9917470Z     >>> def l_infinity(x1, x2):
2025-06-01T21:26:28.9917570Z     >>>     return torch.max(torch.abs(x1 - x2), dim=1).values
2025-06-01T21:26:28.9917610Z     >>>
2025-06-01T21:26:28.9917730Z     >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time")
2025-06-01T21:26:28.9917780Z     >>> triplet_loss = (
2025-06-01T21:26:28.9917940Z     >>>     nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5))
2025-06-01T21:26:28.9918030Z     >>> output = triplet_loss(anchor, positive, negative)
2025-06-01T21:26:28.9918090Z     >>> output.backward()
2025-06-01T21:26:28.9918130Z     >>>
2025-06-01T21:26:28.9918190Z     >>> # Custom Distance Function (Lambda)
2025-06-01T21:26:28.9918240Z     >>> triplet_loss = (
2025-06-01T21:26:28.9918310Z     >>>     nn.TripletMarginWithDistanceLoss(
2025-06-01T21:26:28.9918440Z     >>>         distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y)))
2025-06-01T21:26:28.9918540Z     >>> output = triplet_loss(anchor, positive, negative)
2025-06-01T21:26:28.9918590Z     >>> output.backward()
2025-06-01T21:26:28.9918590Z 
2025-06-01T21:26:28.9918640Z     Reference:
2025-06-01T21:26:28.9918820Z         V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses:
2025-06-01T21:26:28.9918970Z         https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html
2025-06-01T21:26:28.9919010Z     
2025-06-01T21:26:28.9919160Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17))
2025-06-01T21:26:28.9919200Z 
2025-06-01T21:26:28.9919610Z msg = Cannot scrape callname=EmbeddingBag in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=270.
2025-06-01T21:26:28.9919760Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.9919960Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings.
2025-06-01T21:26:28.9919960Z 
2025-06-01T21:26:28.9920170Z     For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`,
2025-06-01T21:26:28.9920250Z     and with 2D inputs, this class
2025-06-01T21:26:28.9920250Z 
2025-06-01T21:26:28.9920440Z         * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``,
2025-06-01T21:26:28.9920620Z         * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``,
2025-06-01T21:26:28.9920800Z         * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``.
2025-06-01T21:26:28.9920800Z 
2025-06-01T21:26:28.9921020Z     However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these
2025-06-01T21:26:28.9921060Z     operations.
2025-06-01T21:26:28.9921060Z 
2025-06-01T21:26:28.9921220Z     EmbeddingBag also supports per-sample weights as an argument to the forward
2025-06-01T21:26:28.9921410Z     pass. This scales the output of the Embedding before performing a weighted
2025-06-01T21:26:28.9921570Z     reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the
2025-06-01T21:26:28.9921710Z     only supported ``mode`` is ``"sum"``, which computes a weighted sum according to
2025-06-01T21:26:28.9921770Z     :attr:`per_sample_weights`.
2025-06-01T21:26:28.9921770Z 
2025-06-01T21:26:28.9921810Z     Args:
2025-06-01T21:26:28.9921920Z         num_embeddings (int): size of the dictionary of embeddings
2025-06-01T21:26:28.9922020Z         embedding_dim (int): the size of each embedding vector
2025-06-01T21:26:28.9922220Z         max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm`
2025-06-01T21:26:28.9922320Z                                     is renormalized to have norm :attr:`max_norm`.
2025-06-01T21:26:28.9922530Z         norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``.
2025-06-01T21:26:28.9922730Z         scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of
2025-06-01T21:26:28.9922840Z                                                 the words in the mini-batch. Default ``False``.
2025-06-01T21:26:28.9922950Z                                                 Note: this option is not supported when ``mode="max"``.
2025-06-01T21:26:28.9923110Z         mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag.
2025-06-01T21:26:28.9923240Z                                  ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights`
2025-06-01T21:26:28.9923380Z                                  into consideration. ``"mean"`` computes the average of the values
2025-06-01T21:26:28.9923490Z                                  in the bag, ``"max"`` computes the max value over each bag.
2025-06-01T21:26:28.9923570Z                                  Default: ``"mean"``
2025-06-01T21:26:28.9923760Z         sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See
2025-06-01T21:26:28.9923920Z                                  Notes for more details regarding sparse gradients. Note: this option is not
2025-06-01T21:26:28.9924000Z                                  supported when ``mode="max"``.
2025-06-01T21:26:28.9924220Z         include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element
2025-06-01T21:26:28.9924420Z                                       is equivalent to the size of `indices`. This matches the CSR format.
2025-06-01T21:26:28.9924620Z         padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the
2025-06-01T21:26:28.9924790Z                                      gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated
2025-06-01T21:26:28.9924950Z                                      during training, i.e. it remains as a fixed "pad". For a newly constructed
2025-06-01T21:26:28.9925160Z                                      EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all
2025-06-01T21:26:28.9925350Z                                      zeros, but can be updated to another value to be used as the padding vector.
2025-06-01T21:26:28.9925500Z                                      Note that the embedding vector at :attr:`padding_idx` is excluded from the
2025-06-01T21:26:28.9925570Z                                      reduction.
2025-06-01T21:26:28.9925570Z 
2025-06-01T21:26:28.9925610Z     Attributes:
2025-06-01T21:26:28.9925800Z         weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)`
2025-06-01T21:26:28.9925890Z                          initialized from :math:`\mathcal{N}(0, 1)`.
2025-06-01T21:26:28.9925900Z 
2025-06-01T21:26:28.9925940Z     Examples::
2025-06-01T21:26:28.9925950Z 
2025-06-01T21:26:28.9926080Z         >>> # an EmbeddingBag module containing 10 tensors of size 3
2025-06-01T21:26:28.9926180Z         >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum')
2025-06-01T21:26:28.9926260Z         >>> # a batch of 2 samples of 4 indices each
2025-06-01T21:26:28.9926380Z         >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long)
2025-06-01T21:26:28.9926470Z         >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-06-01T21:26:28.9926560Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-06-01T21:26:28.9926620Z         >>> embedding_sum(input, offsets)
2025-06-01T21:26:28.9926680Z         tensor([[-0.8861, -5.4350, -0.0523],
2025-06-01T21:26:28.9926740Z                 [ 1.1306, -2.5798, -1.0044]])
2025-06-01T21:26:28.9926750Z 
2025-06-01T21:26:28.9926810Z         >>> # Example with padding_idx
2025-06-01T21:26:28.9926930Z         >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2)
2025-06-01T21:26:28.9927040Z         >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long)
2025-06-01T21:26:28.9927140Z         >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-06-01T21:26:28.9927200Z         >>> embedding_sum(input, offsets)
2025-06-01T21:26:28.9927260Z         tensor([[ 0.0000,  0.0000,  0.0000],
2025-06-01T21:26:28.9927320Z                 [-0.7082,  3.2145, -2.6251]])
2025-06-01T21:26:28.9927320Z 
2025-06-01T21:26:28.9927430Z         >>> # An EmbeddingBag can be loaded from an Embedding like so
2025-06-01T21:26:28.9927510Z         >>> embedding = nn.Embedding(10, 3, padding_idx=2)
2025-06-01T21:26:28.9927610Z         >>> embedding_sum = nn.EmbeddingBag.from_pretrained(
2025-06-01T21:26:28.9927670Z                 embedding.weight,
2025-06-01T21:26:28.9927740Z                 padding_idx=embedding.padding_idx,
2025-06-01T21:26:28.9927790Z                 mode='sum')
2025-06-01T21:26:28.9927830Z     
2025-06-01T21:26:28.9927980Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.9945820Z 
2025-06-01T21:26:28.9946410Z msg = Cannot scrape callname=batch_isend_irecv in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2665.
2025-06-01T21:26:28.9946600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.9946610Z 
2025-06-01T21:26:28.9946760Z Send or Receive a batch of tensors asynchronously and return a list of requests.
2025-06-01T21:26:28.9946760Z 
2025-06-01T21:26:28.9946980Z Process each of the operations in ``p2p_op_list`` and return the corresponding
2025-06-01T21:26:28.9947100Z requests. NCCL, Gloo, and UCC backend are currently supported.
2025-06-01T21:26:28.9947100Z 
2025-06-01T21:26:28.9947140Z Args:
2025-06-01T21:26:28.9947280Z     p2p_op_list: A list of point-to-point operations(type of each operator is
2025-06-01T21:26:28.9947420Z         ``torch.distributed.P2POp``). The order of the isend/irecv in the list
2025-06-01T21:26:28.9947550Z         matters and it needs to match with corresponding isend/irecv on the
2025-06-01T21:26:28.9947600Z         remote end.
2025-06-01T21:26:28.9947610Z 
2025-06-01T21:26:28.9947680Z Returns:
2025-06-01T21:26:28.9947850Z     A list of distributed request objects returned by calling the corresponding
2025-06-01T21:26:28.9947900Z     op in the op_list.
2025-06-01T21:26:28.9947910Z 
2025-06-01T21:26:28.9947950Z Examples:
2025-06-01T21:26:28.9948020Z     >>> # xdoctest: +SKIP("no rank")
2025-06-01T21:26:28.9948140Z     >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank
2025-06-01T21:26:28.9948230Z     >>> recv_tensor = torch.randn(2, dtype=torch.float32)
2025-06-01T21:26:28.9948360Z     >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size)
2025-06-01T21:26:28.9948420Z     >>> recv_op = dist.P2POp(
2025-06-01T21:26:28.9948530Z     ...     dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size
2025-06-01T21:26:28.9948580Z     ... )
2025-06-01T21:26:28.9948660Z     >>> reqs = batch_isend_irecv([send_op, recv_op])
2025-06-01T21:26:28.9948740Z     >>> for req in reqs:
2025-06-01T21:26:28.9948790Z     >>>     req.wait()
2025-06-01T21:26:28.9948840Z     >>> recv_tensor
2025-06-01T21:26:28.9948900Z     tensor([2, 3])     # Rank 0
2025-06-01T21:26:28.9948950Z     tensor([0, 1])     # Rank 1
2025-06-01T21:26:28.9948950Z 
2025-06-01T21:26:28.9949100Z .. note:: Note that when this API is used with the NCCL PG backend, users must set
2025-06-01T21:26:28.9949250Z     the current GPU device with `torch.cuda.set_device`, otherwise it will
2025-06-01T21:26:28.9949310Z     lead to unexpected hang issues.
2025-06-01T21:26:28.9949310Z 
2025-06-01T21:26:28.9949450Z     In addition, if this API is the first collective call in the ``group``
2025-06-01T21:26:28.9949590Z     passed to ``dist.P2POp``, all ranks of the ``group`` must participate in
2025-06-01T21:26:28.9949720Z     this API call; otherwise, the behavior is undefined. If this API call is
2025-06-01T21:26:28.9949860Z     not the first collective call in the ``group``, batched P2P operations
2025-06-01T21:26:28.9949970Z     involving only a subset of ranks of the ``group`` are allowed.
2025-06-01T21:26:28.9949980Z 
2025-06-01T21:26:28.9950130Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.9950130Z 
2025-06-01T21:26:28.9950560Z msg = Cannot scrape callname=all_reduce in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2795.
2025-06-01T21:26:28.9950720Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.9950720Z 
2025-06-01T21:26:28.9950880Z Reduces the tensor data across all machines in a way that all get the final result.
2025-06-01T21:26:28.9950880Z 
2025-06-01T21:26:28.9951020Z After the call ``tensor`` is going to be bitwise identical in all processes.
2025-06-01T21:26:28.9951020Z 
2025-06-01T21:26:28.9951080Z Complex tensors are supported.
2025-06-01T21:26:28.9951080Z 
2025-06-01T21:26:28.9951120Z Args:
2025-06-01T21:26:28.9951250Z     tensor (Tensor): Input and output of the collective. The function
2025-06-01T21:26:28.9951300Z         operates in-place.
2025-06-01T21:26:28.9951370Z     op (optional): One of the values from
2025-06-01T21:26:28.9951430Z         ``torch.distributed.ReduceOp``
2025-06-01T21:26:28.9951550Z         enum.  Specifies an operation used for element-wise reductions.
2025-06-01T21:26:28.9951690Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-06-01T21:26:28.9951840Z         the default process group will be used.
2025-06-01T21:26:28.9951960Z     async_op (bool, optional): Whether this op should be an async op
2025-06-01T21:26:28.9951960Z 
2025-06-01T21:26:28.9952010Z Returns:
2025-06-01T21:26:28.9952090Z     Async work handle, if async_op is set to True.
2025-06-01T21:26:28.9952170Z     None, if not async_op or if not part of the group
2025-06-01T21:26:28.9952170Z 
2025-06-01T21:26:28.9952230Z Examples:
2025-06-01T21:26:28.9952280Z     >>> # xdoctest: +SKIP("no rank")
2025-06-01T21:26:28.9952360Z     >>> # All tensors below are of torch.int64 type.
2025-06-01T21:26:28.9952450Z     >>> # We have 2 process groups, 2 ranks.
2025-06-01T21:26:28.9952540Z     >>> device = torch.device(f"cuda:{rank}")
2025-06-01T21:26:28.9952680Z     >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-06-01T21:26:28.9952720Z     >>> tensor
2025-06-01T21:26:28.9952780Z     tensor([1, 2], device='cuda:0') # Rank 0
2025-06-01T21:26:28.9952850Z     tensor([3, 4], device='cuda:1') # Rank 1
2025-06-01T21:26:28.9952920Z     >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-06-01T21:26:28.9952960Z     >>> tensor
2025-06-01T21:26:28.9953020Z     tensor([4, 6], device='cuda:0') # Rank 0
2025-06-01T21:26:28.9953080Z     tensor([4, 6], device='cuda:1') # Rank 1
2025-06-01T21:26:28.9953080Z 
2025-06-01T21:26:28.9953170Z     >>> # All tensors below are of torch.cfloat type.
2025-06-01T21:26:28.9953230Z     >>> # We have 2 process groups, 2 ranks.
2025-06-01T21:26:28.9953320Z     >>> tensor = torch.tensor(
2025-06-01T21:26:28.9953410Z     ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-06-01T21:26:28.9953470Z     ... ) + 2 * rank * (1 + 1j)
2025-06-01T21:26:28.9953510Z     >>> tensor
2025-06-01T21:26:28.9953600Z     tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-06-01T21:26:28.9953680Z     tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-06-01T21:26:28.9953750Z     >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-06-01T21:26:28.9953790Z     >>> tensor
2025-06-01T21:26:28.9953870Z     tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0
2025-06-01T21:26:28.9953950Z     tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1
2025-06-01T21:26:28.9953950Z 
2025-06-01T21:26:28.9953950Z 
2025-06-01T21:26:28.9954100Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.9954110Z 
2025-06-01T21:26:28.9954540Z msg = Cannot scrape callname=gather_object in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3155.
2025-06-01T21:26:28.9954700Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.9954700Z 
2025-06-01T21:26:28.9954830Z Gathers picklable objects from the whole group in a single process.
2025-06-01T21:26:28.9954840Z 
2025-06-01T21:26:28.9954980Z Similar to :func:`gather`, but Python objects can be passed in. Note that the
2025-06-01T21:26:28.9955060Z object must be picklable in order to be gathered.
2025-06-01T21:26:28.9955060Z 
2025-06-01T21:26:28.9955110Z Args:
2025-06-01T21:26:28.9955180Z     obj (Any): Input object. Must be picklable.
2025-06-01T21:26:28.9955310Z     object_gather_list (list[Any]): Output list. On the ``dst`` rank, it
2025-06-01T21:26:28.9955420Z         should be correctly sized as the size of the group for this
2025-06-01T21:26:28.9955550Z         collective and will contain the output. Must be ``None`` on non-dst
2025-06-01T21:26:28.9955610Z         ranks. (default is ``None``)
2025-06-01T21:26:28.9955800Z     dst (int, optional): Destination rank on global process group (regardless of ``group`` argument).
2025-06-01T21:26:28.9955920Z         (If both ``dst`` and ``group_dst`` are None, default is global rank 0)
2025-06-01T21:26:28.9956060Z     group: (ProcessGroup, optional): The process group to work on. If None,
2025-06-01T21:26:28.9956180Z         the default process group will be used. Default is ``None``.
2025-06-01T21:26:28.9956420Z     group_dst (int, optional): Destination rank on ``group``.  Invalid to specify both ``dst`` and ``group_dst``
2025-06-01T21:26:28.9956420Z 
2025-06-01T21:26:28.9956470Z Returns:
2025-06-01T21:26:28.9956580Z     None. On the ``dst`` rank, ``object_gather_list`` will contain the
2025-06-01T21:26:28.9956630Z     output of the collective.
2025-06-01T21:26:28.9956640Z 
2025-06-01T21:26:28.9956760Z .. note:: Note that this API differs slightly from the gather collective
2025-06-01T21:26:28.9956900Z     since it does not provide an async_op handle and thus will be a blocking
2025-06-01T21:26:28.9956940Z     call.
2025-06-01T21:26:28.9956960Z 
2025-06-01T21:26:28.9957120Z .. note:: For NCCL-based processed groups, internal tensor representations
2025-06-01T21:26:28.9957240Z     of objects must be moved to the GPU device before communication takes
2025-06-01T21:26:28.9957330Z     place. In this case, the device used is given by
2025-06-01T21:26:28.9957450Z     ``torch.cuda.current_device()`` and it is the user's responsiblity to
2025-06-01T21:26:28.9957580Z     ensure that this is set so that each rank has an individual GPU, via
2025-06-01T21:26:28.9957630Z     ``torch.cuda.set_device()``.
2025-06-01T21:26:28.9957630Z 
2025-06-01T21:26:28.9957680Z .. warning::
2025-06-01T21:26:28.9957820Z     Object collectives have a number of serious performance and scalability
2025-06-01T21:26:28.9957930Z     limitations.  See :ref:`object_collectives` for details.
2025-06-01T21:26:28.9957930Z 
2025-06-01T21:26:28.9958020Z .. warning::
2025-06-01T21:26:28.9958140Z     :func:`gather_object` uses ``pickle`` module implicitly, which is
2025-06-01T21:26:28.9958280Z     known to be insecure. It is possible to construct malicious pickle data
2025-06-01T21:26:28.9958410Z     which will execute arbitrary code during unpickling. Only call this
2025-06-01T21:26:28.9958470Z     function with data you trust.
2025-06-01T21:26:28.9958470Z 
2025-06-01T21:26:28.9958510Z .. warning::
2025-06-01T21:26:28.9958640Z     Calling :func:`gather_object` with GPU tensors is not well supported
2025-06-01T21:26:28.9958790Z     and inefficient as it incurs GPU -> CPU transfer since tensors would be
2025-06-01T21:26:28.9958900Z     pickled. Please consider using :func:`gather` instead.
2025-06-01T21:26:28.9958900Z 
2025-06-01T21:26:28.9958940Z Example::
2025-06-01T21:26:28.9959020Z     >>> # xdoctest: +SKIP("need process group init")
2025-06-01T21:26:28.9959130Z     >>> # Note: Process group initialization omitted on each rank.
2025-06-01T21:26:28.9959200Z     >>> import torch.distributed as dist
2025-06-01T21:26:28.9959260Z     >>> # Assumes world_size of 3.
2025-06-01T21:26:28.9959380Z     >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object
2025-06-01T21:26:28.9959450Z     >>> output = [None for _ in gather_objects]
2025-06-01T21:26:28.9959510Z     >>> dist.gather_object(
2025-06-01T21:26:28.9959570Z     ...     gather_objects[dist.get_rank()],
2025-06-01T21:26:28.9959650Z     ...     output if dist.get_rank() == 0 else None,
2025-06-01T21:26:28.9959700Z     ...     dst=0
2025-06-01T21:26:28.9959740Z     ... )
2025-06-01T21:26:28.9959780Z     >>> # On rank 0
2025-06-01T21:26:28.9959820Z     >>> output
2025-06-01T21:26:28.9959870Z     ['foo', 12, {1: 2}]
2025-06-01T21:26:28.9959870Z 
2025-06-01T21:26:28.9960020Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:28.9960020Z 
2025-06-01T21:26:28.9960450Z msg = Cannot scrape callname=all_gather in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3751.
2025-06-01T21:26:28.9960600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:28.9960610Z 
2025-06-01T21:26:28.9960690Z Gathers tensors from the whole group in a list.
2025-06-01T21:26:28.9960690Z 
2025-06-01T21:26:28.9960770Z Complex and uneven sized tensors are supported.
2025-06-01T21:26:28.9960770Z 
2025-06-01T21:26:28.9960820Z Args:
2025-06-01T21:26:28.9960960Z     tensor_list (list[Tensor]): Output list. It should contain
2025-06-01T21:26:28.9961090Z         correctly-sized tensors to be used for output of the collective.
2025-06-01T21:26:28.9961160Z         Uneven sized tensors are supported.
2025-06-01T21:26:28.9961280Z     tensor (Tensor): Tensor to be broadcast from current process.
2025-06-01T21:26:28.9961410Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-06-01T21:26:28.9961490Z         the default process group will be used.
2025-06-01T21:26:28.9961610Z     async_op (bool, optional): Whether this op should be an async op
2025-06-01T21:26:28.9961610Z 
2025-06-01T21:26:28.9961790Z Returns:
2025-06-01T21:26:28.9961930Z     Async work handle, if async_op is set to True.
2025-06-01T21:26:28.9962020Z     None, if not async_op or if not part of the group
2025-06-01T21:26:28.9962030Z 
2025-06-01T21:26:28.9962070Z Examples:
2025-06-01T21:26:28.9962150Z     >>> # xdoctest: +SKIP("need process group init")
2025-06-01T21:26:28.9962230Z     >>> # All tensors below are of torch.int64 dtype.
2025-06-01T21:26:28.9962300Z     >>> # We have 2 process groups, 2 ranks.
2025-06-01T21:26:28.9962370Z     >>> device = torch.device(f"cuda:{rank}")
2025-06-01T21:26:28.9962410Z     >>> tensor_list = [
2025-06-01T21:26:28.9962540Z     ...     torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2)
2025-06-01T21:26:28.9962580Z     ... ]
2025-06-01T21:26:28.9962630Z     >>> tensor_list
2025-06-01T21:26:28.9962780Z     [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0
2025-06-01T21:26:28.9962910Z     [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1
2025-06-01T21:26:28.9963040Z     >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-06-01T21:26:28.9963090Z     >>> tensor
2025-06-01T21:26:28.9963150Z     tensor([1, 2], device='cuda:0') # Rank 0
2025-06-01T21:26:28.9963220Z     tensor([3, 4], device='cuda:1') # Rank 1
2025-06-01T21:26:28.9963290Z     >>> dist.all_gather(tensor_list, tensor)
2025-06-01T21:26:28.9963330Z     >>> tensor_list
2025-06-01T21:26:28.9963450Z     [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0
2025-06-01T21:26:28.9963570Z     [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1
2025-06-01T21:26:28.9963570Z 
2025-06-01T21:26:28.9963660Z     >>> # All tensors below are of torch.cfloat dtype.
2025-06-01T21:26:28.9963720Z     >>> # We have 2 process groups, 2 ranks.
2025-06-01T21:26:28.9963770Z     >>> tensor_list = [
2025-06-01T21:26:28.9963900Z     ...     torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2)
2025-06-01T21:26:28.9963940Z     ... ]
2025-06-01T21:26:28.9963980Z     >>> tensor_list
2025-06-01T21:26:28.9964140Z     [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0
2025-06-01T21:26:28.9964290Z     [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1
2025-06-01T21:26:28.9964350Z     >>> tensor = torch.tensor(
2025-06-01T21:26:28.9964430Z     ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-06-01T21:26:28.9964490Z     ... ) + 2 * rank * (1 + 1j)
2025-06-01T21:26:28.9964530Z     >>> tensor
2025-06-01T21:26:28.9964610Z     tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-06-01T21:26:28.9964690Z     tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-06-01T21:26:28.9964760Z     >>> dist.all_gather(tensor_list, tensor)
2025-06-01T21:26:28.9964800Z     >>> tensor_list
2025-06-01T21:26:28.9964950Z     [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0
2025-06-01T21:26:28.9965090Z     [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1
2025-06-01T21:26:28.9965090Z 
2025-06-01T21:26:28.9965100Z 
2025-06-01T21:26:28.9965250Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.0173870Z 
2025-06-01T21:26:29.0174470Z msg = Cannot scrape callname=all_to_all_single in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4457.
2025-06-01T21:26:29.0174780Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.0174780Z 
2025-06-01T21:26:29.0174940Z Split input tensor and then scatter the split list to all processes in a group.
2025-06-01T21:26:29.0174940Z 
2025-06-01T21:26:29.0175100Z Later the received tensors are concatenated from all the processes in the group
2025-06-01T21:26:29.0175170Z and returned as a single output tensor.
2025-06-01T21:26:29.0175210Z 
2025-06-01T21:26:29.0175310Z Complex tensors are supported.
2025-06-01T21:26:29.0175310Z 
2025-06-01T21:26:29.0175350Z Args:
2025-06-01T21:26:29.0175450Z     output (Tensor): Gathered concatenated output tensor.
2025-06-01T21:26:29.0175530Z     input (Tensor): Input tensor to scatter.
2025-06-01T21:26:29.0175660Z     output_split_sizes: (list[Int], optional): Output split sizes for dim 0
2025-06-01T21:26:29.0175790Z         if specified None or empty, dim 0 of ``output`` tensor must divide
2025-06-01T21:26:29.0175850Z         equally by ``world_size``.
2025-06-01T21:26:29.0175990Z     input_split_sizes: (list[Int], optional): Input split sizes for dim 0
2025-06-01T21:26:29.0176110Z         if specified None or empty, dim 0 of ``input`` tensor must divide
2025-06-01T21:26:29.0176170Z         equally by ``world_size``.
2025-06-01T21:26:29.0176360Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-06-01T21:26:29.0176440Z         the default process group will be used.
2025-06-01T21:26:29.0176570Z     async_op (bool, optional): Whether this op should be an async op.
2025-06-01T21:26:29.0176570Z 
2025-06-01T21:26:29.0176620Z Returns:
2025-06-01T21:26:29.0176700Z     Async work handle, if async_op is set to True.
2025-06-01T21:26:29.0176790Z     None, if not async_op or if not part of the group.
2025-06-01T21:26:29.0176790Z 
2025-06-01T21:26:29.0176850Z .. warning::
2025-06-01T21:26:29.0176960Z     `all_to_all_single` is experimental and subject to change.
2025-06-01T21:26:29.0176960Z 
2025-06-01T21:26:29.0177000Z Examples:
2025-06-01T21:26:29.0177070Z     >>> # xdoctest: +SKIP("Undefined rank")
2025-06-01T21:26:29.0177140Z     >>> input = torch.arange(4) + rank * 4
2025-06-01T21:26:29.0177180Z     >>> input
2025-06-01T21:26:29.0177240Z     tensor([0, 1, 2, 3])     # Rank 0
2025-06-01T21:26:29.0177290Z     tensor([4, 5, 6, 7])     # Rank 1
2025-06-01T21:26:29.0177350Z     tensor([8, 9, 10, 11])   # Rank 2
2025-06-01T21:26:29.0177400Z     tensor([12, 13, 14, 15]) # Rank 3
2025-06-01T21:26:29.0177500Z     >>> output = torch.empty([4], dtype=torch.int64)
2025-06-01T21:26:29.0177560Z     >>> dist.all_to_all_single(output, input)
2025-06-01T21:26:29.0177600Z     >>> output
2025-06-01T21:26:29.0177660Z     tensor([0, 4, 8, 12])    # Rank 0
2025-06-01T21:26:29.0177710Z     tensor([1, 5, 9, 13])    # Rank 1
2025-06-01T21:26:29.0177760Z     tensor([2, 6, 10, 14])   # Rank 2
2025-06-01T21:26:29.0177810Z     tensor([3, 7, 11, 15])   # Rank 3
2025-06-01T21:26:29.0177810Z 
2025-06-01T21:26:29.0177910Z     >>> # Essentially, it is similar to following operation:
2025-06-01T21:26:29.0177990Z     >>> scatter_list = list(input.chunk(world_size))
2025-06-01T21:26:29.0178070Z     >>> gather_list = list(output.chunk(world_size))
2025-06-01T21:26:29.0178130Z     >>> for i in range(world_size):
2025-06-01T21:26:29.0178280Z     >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i)
2025-06-01T21:26:29.0178280Z 
2025-06-01T21:26:29.0178430Z     >>> # Another example with uneven split
2025-06-01T21:26:29.0178520Z     >>> input
2025-06-01T21:26:29.0178620Z     tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-06-01T21:26:29.0184280Z     tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-06-01T21:26:29.0184390Z     tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-06-01T21:26:29.0184550Z     tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-06-01T21:26:29.0184600Z     >>> input_splits
2025-06-01T21:26:29.0184670Z     [2, 2, 1, 1]                                                     # Rank 0
2025-06-01T21:26:29.0184750Z     [3, 2, 2, 2]                                                     # Rank 1
2025-06-01T21:26:29.0184820Z     [2, 1, 1, 1]                                                     # Rank 2
2025-06-01T21:26:29.0184890Z     [2, 2, 2, 1]                                                     # Rank 3
2025-06-01T21:26:29.0184940Z     >>> output_splits
2025-06-01T21:26:29.0185040Z     [2, 3, 2, 2]                                                     # Rank 0
2025-06-01T21:26:29.0185130Z     [2, 2, 1, 2]                                                     # Rank 1
2025-06-01T21:26:29.0185210Z     [1, 2, 1, 2]                                                     # Rank 2
2025-06-01T21:26:29.0185290Z     [1, 2, 1, 1]                                                     # Rank 3
2025-06-01T21:26:29.0185330Z     >>> output = ...
2025-06-01T21:26:29.0185450Z     >>> dist.all_to_all_single(output, input, output_splits, input_splits)
2025-06-01T21:26:29.0185490Z     >>> output
2025-06-01T21:26:29.0185590Z     tensor([ 0,  1, 10, 11, 12, 20, 21, 30, 31])                     # Rank 0
2025-06-01T21:26:29.0185680Z     tensor([ 2,  3, 13, 14, 22, 32, 33])                             # Rank 1
2025-06-01T21:26:29.0185800Z     tensor([ 4, 15, 16, 23, 34, 35])                                 # Rank 2
2025-06-01T21:26:29.0185890Z     tensor([ 5, 17, 18, 24, 36])                                     # Rank 3
2025-06-01T21:26:29.0185900Z 
2025-06-01T21:26:29.0185900Z 
2025-06-01T21:26:29.0186000Z     >>> # Another example with tensors of torch.cfloat type.
2025-06-01T21:26:29.0186050Z     >>> input = torch.tensor(
2025-06-01T21:26:29.0186140Z     ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-06-01T21:26:29.0186190Z     ... ) + 4 * rank * (1 + 1j)
2025-06-01T21:26:29.0186240Z     >>> input
2025-06-01T21:26:29.0186340Z     tensor([1+1j, 2+2j, 3+3j, 4+4j])                                # Rank 0
2025-06-01T21:26:29.0186440Z     tensor([5+5j, 6+6j, 7+7j, 8+8j])                                # Rank 1
2025-06-01T21:26:29.0186550Z     tensor([9+9j, 10+10j, 11+11j, 12+12j])                          # Rank 2
2025-06-01T21:26:29.0186650Z     tensor([13+13j, 14+14j, 15+15j, 16+16j])                        # Rank 3
2025-06-01T21:26:29.0186740Z     >>> output = torch.empty([4], dtype=torch.int64)
2025-06-01T21:26:29.0186810Z     >>> dist.all_to_all_single(output, input)
2025-06-01T21:26:29.0186850Z     >>> output
2025-06-01T21:26:29.0186960Z     tensor([1+1j, 5+5j, 9+9j, 13+13j])                              # Rank 0
2025-06-01T21:26:29.0187060Z     tensor([2+2j, 6+6j, 10+10j, 14+14j])                            # Rank 1
2025-06-01T21:26:29.0187160Z     tensor([3+3j, 7+7j, 11+11j, 15+15j])                            # Rank 2
2025-06-01T21:26:29.0187270Z     tensor([4+4j, 8+8j, 12+12j, 16+16j])                            # Rank 3
2025-06-01T21:26:29.0187270Z 
2025-06-01T21:26:29.0187420Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.0187420Z 
2025-06-01T21:26:29.0187830Z msg = Cannot scrape callname=all_to_all in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4599.
2025-06-01T21:26:29.0187990Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.0187990Z 
2025-06-01T21:26:29.0188200Z Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list.
2025-06-01T21:26:29.0188200Z 
2025-06-01T21:26:29.0188270Z Complex tensors are supported.
2025-06-01T21:26:29.0188270Z 
2025-06-01T21:26:29.0188310Z Args:
2025-06-01T21:26:29.0188440Z     output_tensor_list (list[Tensor]): List of tensors to be gathered one
2025-06-01T21:26:29.0188510Z         per rank.
2025-06-01T21:26:29.0188650Z     input_tensor_list (list[Tensor]): List of tensors to scatter one per rank.
2025-06-01T21:26:29.0188780Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-06-01T21:26:29.0188860Z         the default process group will be used.
2025-06-01T21:26:29.0188970Z     async_op (bool, optional): Whether this op should be an async op.
2025-06-01T21:26:29.0188970Z 
2025-06-01T21:26:29.0189010Z Returns:
2025-06-01T21:26:29.0189090Z     Async work handle, if async_op is set to True.
2025-06-01T21:26:29.0189180Z     None, if not async_op or if not part of the group.
2025-06-01T21:26:29.0189200Z 
2025-06-01T21:26:29.0189260Z .. warning::
2025-06-01T21:26:29.0189350Z     `all_to_all` is experimental and subject to change.
2025-06-01T21:26:29.0189350Z 
2025-06-01T21:26:29.0189390Z Examples:
2025-06-01T21:26:29.0189450Z     >>> # xdoctest: +SKIP("Undefined rank")
2025-06-01T21:26:29.0189520Z     >>> input = torch.arange(4) + rank * 4
2025-06-01T21:26:29.0189570Z     >>> input = list(input.chunk(4))
2025-06-01T21:26:29.0189620Z     >>> input
2025-06-01T21:26:29.0189720Z     [tensor([0]), tensor([1]), tensor([2]), tensor([3])]     # Rank 0
2025-06-01T21:26:29.0189810Z     [tensor([4]), tensor([5]), tensor([6]), tensor([7])]     # Rank 1
2025-06-01T21:26:29.0189910Z     [tensor([8]), tensor([9]), tensor([10]), tensor([11])]   # Rank 2
2025-06-01T21:26:29.0190010Z     [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3
2025-06-01T21:26:29.0190160Z     >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-06-01T21:26:29.0190230Z     >>> dist.all_to_all(output, input)
2025-06-01T21:26:29.0190270Z     >>> output
2025-06-01T21:26:29.0190370Z     [tensor([0]), tensor([4]), tensor([8]), tensor([12])]    # Rank 0
2025-06-01T21:26:29.0190460Z     [tensor([1]), tensor([5]), tensor([9]), tensor([13])]    # Rank 1
2025-06-01T21:26:29.0190550Z     [tensor([2]), tensor([6]), tensor([10]), tensor([14])]   # Rank 2
2025-06-01T21:26:29.0190650Z     [tensor([3]), tensor([7]), tensor([11]), tensor([15])]   # Rank 3
2025-06-01T21:26:29.0190650Z 
2025-06-01T21:26:29.0190750Z     >>> # Essentially, it is similar to following operation:
2025-06-01T21:26:29.0190800Z     >>> scatter_list = input
2025-06-01T21:26:29.0190850Z     >>> gather_list = output
2025-06-01T21:26:29.0190910Z     >>> for i in range(world_size):
2025-06-01T21:26:29.0191040Z     >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i)
2025-06-01T21:26:29.0191040Z 
2025-06-01T21:26:29.0191080Z     >>> input
2025-06-01T21:26:29.0191180Z     tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-06-01T21:26:29.0191280Z     tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-06-01T21:26:29.0191370Z     tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-06-01T21:26:29.0191470Z     tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-06-01T21:26:29.0191510Z     >>> input_splits
2025-06-01T21:26:29.0191590Z     [2, 2, 1, 1]                                                     # Rank 0
2025-06-01T21:26:29.0191660Z     [3, 2, 2, 2]                                                     # Rank 1
2025-06-01T21:26:29.0191740Z     [2, 1, 1, 1]                                                     # Rank 2
2025-06-01T21:26:29.0191820Z     [2, 2, 2, 1]                                                     # Rank 3
2025-06-01T21:26:29.0191870Z     >>> output_splits
2025-06-01T21:26:29.0191940Z     [2, 3, 2, 2]                                                     # Rank 0
2025-06-01T21:26:29.0192020Z     [2, 2, 1, 2]                                                     # Rank 1
2025-06-01T21:26:29.0192100Z     [1, 2, 1, 2]                                                     # Rank 2
2025-06-01T21:26:29.0192180Z     [1, 2, 1, 1]                                                     # Rank 3
2025-06-01T21:26:29.0192260Z     >>> input = list(input.split(input_splits))
2025-06-01T21:26:29.0192340Z     >>> input
2025-06-01T21:26:29.0192470Z     [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])]                   # Rank 0
2025-06-01T21:26:29.0192600Z     [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1
2025-06-01T21:26:29.0192720Z     [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])]                 # Rank 2
2025-06-01T21:26:29.0192840Z     [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])]         # Rank 3
2025-06-01T21:26:29.0192890Z     >>> output = ...
2025-06-01T21:26:29.0192950Z     >>> dist.all_to_all(output, input)
2025-06-01T21:26:29.0193000Z     >>> output
2025-06-01T21:26:29.0193150Z     [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])]   # Rank 0
2025-06-01T21:26:29.0193290Z     [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])]           # Rank 1
2025-06-01T21:26:29.0193420Z     [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])]              # Rank 2
2025-06-01T21:26:29.0193540Z     [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])]                  # Rank 3
2025-06-01T21:26:29.0193540Z 
2025-06-01T21:26:29.0193640Z     >>> # Another example with tensors of torch.cfloat type.
2025-06-01T21:26:29.0193700Z     >>> input = torch.tensor(
2025-06-01T21:26:29.0193790Z     ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-06-01T21:26:29.0193840Z     ... ) + 4 * rank * (1 + 1j)
2025-06-01T21:26:29.0193900Z     >>> input = list(input.chunk(4))
2025-06-01T21:26:29.0193990Z     >>> input
2025-06-01T21:26:29.0194130Z     [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])]            # Rank 0
2025-06-01T21:26:29.0194250Z     [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])]            # Rank 1
2025-06-01T21:26:29.0194380Z     [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])]      # Rank 2
2025-06-01T21:26:29.0194520Z     [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])]    # Rank 3
2025-06-01T21:26:29.0194630Z     >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-06-01T21:26:29.0194700Z     >>> dist.all_to_all(output, input)
2025-06-01T21:26:29.0194740Z     >>> output
2025-06-01T21:26:29.0194870Z     [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])]          # Rank 0
2025-06-01T21:26:29.0194990Z     [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])]        # Rank 1
2025-06-01T21:26:29.0195120Z     [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])]        # Rank 2
2025-06-01T21:26:29.0195240Z     [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])]        # Rank 3
2025-06-01T21:26:29.0195240Z 
2025-06-01T21:26:29.0195250Z 
2025-06-01T21:26:29.0195400Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.0511000Z 
2025-06-01T21:26:29.0511570Z msg = Cannot scrape callname=__doc__ in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/launch.py line=2.
2025-06-01T21:26:29.0511770Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.0511780Z 
2025-06-01T21:26:29.0511840Z Module ``torch.distributed.launch``.
2025-06-01T21:26:29.0511840Z 
2025-06-01T21:26:29.0512000Z ``torch.distributed.launch`` is a module that spawns up multiple distributed
2025-06-01T21:26:29.0512090Z training processes on each of the training nodes.
2025-06-01T21:26:29.0512090Z 
2025-06-01T21:26:29.0512150Z .. warning::
2025-06-01T21:26:29.0512160Z 
2025-06-01T21:26:29.0512320Z     This module is going to be deprecated in favor of :ref:`torchrun <launcher-api>`.
2025-06-01T21:26:29.0512320Z 
2025-06-01T21:26:29.0512470Z The utility can be used for single-node distributed training, in which one or
2025-06-01T21:26:29.0512610Z more processes per node will be spawned. The utility can be used for either
2025-06-01T21:26:29.0512750Z CPU training or GPU training. If the utility is used for GPU training,
2025-06-01T21:26:29.0513000Z each distributed process will be operating on a single GPU. This can achieve
2025-06-01T21:26:29.0513150Z well-improved single-node training performance. It can also be used in
2025-06-01T21:26:29.0513310Z multi-node distributed training, by spawning up multiple processes on each node
2025-06-01T21:26:29.0513450Z for well-improved multi-node distributed training performance as well.
2025-06-01T21:26:29.0513580Z This will especially be beneficial for systems with multiple Infiniband
2025-06-01T21:26:29.0513740Z interfaces that have direct-GPU support, since all of them can be utilized for
2025-06-01T21:26:29.0513830Z aggregated communication bandwidth.
2025-06-01T21:26:29.0513860Z 
2025-06-01T21:26:29.0514000Z In both cases of single-node distributed training or multi-node distributed
2025-06-01T21:26:29.0514140Z training, this utility will launch the given number of processes per node
2025-06-01T21:26:29.0514270Z (``--nproc-per-node``). If used for GPU training, this number needs to be less
2025-06-01T21:26:29.0514400Z or equal to the number of GPUs on the current system (``nproc_per_node``),
2025-06-01T21:26:29.0514520Z and each process will be operating on a single GPU from *GPU 0 to
2025-06-01T21:26:29.0514580Z GPU (nproc_per_node - 1)*.
2025-06-01T21:26:29.0514580Z 
2025-06-01T21:26:29.0514630Z **How to use this module:**
2025-06-01T21:26:29.0514630Z 
2025-06-01T21:26:29.0514720Z 1. Single-Node multi-process distributed training
2025-06-01T21:26:29.0514720Z 
2025-06-01T21:26:29.0514810Z ::
2025-06-01T21:26:29.0514820Z 
2025-06-01T21:26:29.0514960Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-06-01T21:26:29.0515080Z                YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other
2025-06-01T21:26:29.0515150Z                arguments of your training script)
2025-06-01T21:26:29.0515150Z 
2025-06-01T21:26:29.0515270Z 2. Multi-Node multi-process distributed training: (e.g. two nodes)
2025-06-01T21:26:29.0515270Z 
2025-06-01T21:26:29.0515280Z 
2025-06-01T21:26:29.0515360Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)*
2025-06-01T21:26:29.0515370Z 
2025-06-01T21:26:29.0515400Z ::
2025-06-01T21:26:29.0515410Z 
2025-06-01T21:26:29.0515540Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-06-01T21:26:29.0515640Z                --nnodes=2 --node-rank=0 --master-addr="192.168.1.1"
2025-06-01T21:26:29.0515770Z                --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-06-01T21:26:29.0515860Z                and all other arguments of your training script)
2025-06-01T21:26:29.0515860Z 
2025-06-01T21:26:29.0515900Z Node 2:
2025-06-01T21:26:29.0515910Z 
2025-06-01T21:26:29.0515950Z ::
2025-06-01T21:26:29.0515950Z 
2025-06-01T21:26:29.0516100Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-06-01T21:26:29.0516190Z                --nnodes=2 --node-rank=1 --master-addr="192.168.1.1"
2025-06-01T21:26:29.0516310Z                --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-06-01T21:26:29.0516400Z                and all other arguments of your training script)
2025-06-01T21:26:29.0516400Z 
2025-06-01T21:26:29.0516500Z 3. To look up what optional arguments this module offers:
2025-06-01T21:26:29.0516500Z 
2025-06-01T21:26:29.0516540Z ::
2025-06-01T21:26:29.0516540Z 
2025-06-01T21:26:29.0516620Z     python -m torch.distributed.launch --help
2025-06-01T21:26:29.0516620Z 
2025-06-01T21:26:29.0516620Z 
2025-06-01T21:26:29.0516680Z **Important Notices:**
2025-06-01T21:26:29.0516680Z 
2025-06-01T21:26:29.0516790Z 1. This utility and multi-process distributed (single-node or
2025-06-01T21:26:29.0516940Z multi-node) GPU training currently only achieves the best performance using
2025-06-01T21:26:29.0517080Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to
2025-06-01T21:26:29.0517130Z use for GPU training.
2025-06-01T21:26:29.0517130Z 
2025-06-01T21:26:29.0517250Z 2. In your training program, you must parse the command-line argument:
2025-06-01T21:26:29.0517440Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module.
2025-06-01T21:26:29.0517570Z If your training program uses GPUs, you should ensure that your code only
2025-06-01T21:26:29.0517680Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by:
2025-06-01T21:26:29.0517690Z 
2025-06-01T21:26:29.0517740Z Parsing the local_rank argument
2025-06-01T21:26:29.0517740Z 
2025-06-01T21:26:29.0517780Z ::
2025-06-01T21:26:29.0517790Z 
2025-06-01T21:26:29.0517830Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:29.0517880Z     >>> import argparse
2025-06-01T21:26:29.0517970Z     >>> parser = argparse.ArgumentParser()
2025-06-01T21:26:29.0518110Z     >>> parser.add_argument("--local-rank", "--local_rank", type=int)
2025-06-01T21:26:29.0518170Z     >>> args = parser.parse_args()
2025-06-01T21:26:29.0518170Z 
2025-06-01T21:26:29.0518240Z Set your device to local rank using either
2025-06-01T21:26:29.0518240Z 
2025-06-01T21:26:29.0518280Z ::
2025-06-01T21:26:29.0518280Z 
2025-06-01T21:26:29.0518400Z     >>> torch.cuda.set_device(args.local_rank)  # before your code runs
2025-06-01T21:26:29.0518400Z 
2025-06-01T21:26:29.0518440Z or
2025-06-01T21:26:29.0518440Z 
2025-06-01T21:26:29.0518480Z ::
2025-06-01T21:26:29.0518480Z 
2025-06-01T21:26:29.0518560Z     >>> with torch.cuda.device(args.local_rank):
2025-06-01T21:26:29.0518600Z     >>>    # your code to run
2025-06-01T21:26:29.0518650Z     >>>    ...
2025-06-01T21:26:29.0518650Z 
2025-06-01T21:26:29.0518730Z .. versionchanged:: 2.0.0
2025-06-01T21:26:29.0518730Z 
2025-06-01T21:26:29.0518890Z     The launcher will passes the ``--local-rank=<rank>`` argument to your script.
2025-06-01T21:26:29.0519030Z     From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the
2025-06-01T21:26:29.0519120Z     previously used underscored ``--local_rank``.
2025-06-01T21:26:29.0519120Z 
2025-06-01T21:26:29.0519260Z     For backward compatibility, it may be necessary for users to handle both
2025-06-01T21:26:29.0519430Z     cases in their argument parsing code. This means including both ``"--local-rank"``
2025-06-01T21:26:29.0519570Z     and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is
2025-06-01T21:26:29.0519720Z     provided, the launcher will trigger an error: "error: unrecognized arguments:
2025-06-01T21:26:29.0519860Z     --local-rank=<rank>". For training code that only supports PyTorch 2.0.0+,
2025-06-01T21:26:29.0519950Z     including ``"--local-rank"`` should be sufficient.
2025-06-01T21:26:29.0519950Z 
2025-06-01T21:26:29.0520090Z 3. In your training program, you are supposed to call the following function
2025-06-01T21:26:29.0520240Z at the beginning to start the distributed backend. It is strongly recommended
2025-06-01T21:26:29.0520390Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work,
2025-06-01T21:26:29.0520500Z but ``env://`` is the one that is officially supported by this module.
2025-06-01T21:26:29.0520510Z 
2025-06-01T21:26:29.0520550Z ::
2025-06-01T21:26:29.0520550Z 
2025-06-01T21:26:29.0520670Z     >>> torch.distributed.init_process_group(backend='YOUR BACKEND',
2025-06-01T21:26:29.0520760Z     >>>                                      init_method='env://')
2025-06-01T21:26:29.0520760Z 
2025-06-01T21:26:29.0520910Z 4. In your training program, you can either use regular distributed functions
2025-06-01T21:26:29.0521050Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your
2025-06-01T21:26:29.0521180Z training program uses GPUs for training and you would like to use
2025-06-01T21:26:29.0521290Z :func:`torch.nn.parallel.DistributedDataParallel` module,
2025-06-01T21:26:29.0521350Z here is how to configure it.
2025-06-01T21:26:29.0521350Z 
2025-06-01T21:26:29.0521390Z ::
2025-06-01T21:26:29.0521390Z 
2025-06-01T21:26:29.0521510Z     >>> model = torch.nn.parallel.DistributedDataParallel(model,
2025-06-01T21:26:29.0521600Z     >>>                                                   device_ids=[args.local_rank],
2025-06-01T21:26:29.0521730Z     >>>                                                   output_device=args.local_rank)
2025-06-01T21:26:29.0521740Z 
2025-06-01T21:26:29.0521880Z Please ensure that ``device_ids`` argument is set to be the only GPU device id
2025-06-01T21:26:29.0522020Z that your code will be operating on. This is generally the local rank of the
2025-06-01T21:26:29.0522160Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``,
2025-06-01T21:26:29.0522300Z and ``output_device`` needs to be ``args.local_rank`` in order to use this
2025-06-01T21:26:29.0522340Z utility
2025-06-01T21:26:29.0522340Z 
2025-06-01T21:26:29.0522510Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable
2025-06-01T21:26:29.0522660Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with
2025-06-01T21:26:29.0522790Z ``--use-env=True``. You must adjust the subprocess example above to replace
2025-06-01T21:26:29.0522910Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher
2025-06-01T21:26:29.0523010Z will not pass ``--local-rank`` when you specify this flag.
2025-06-01T21:26:29.0523020Z 
2025-06-01T21:26:29.0523070Z .. warning::
2025-06-01T21:26:29.0523070Z 
2025-06-01T21:26:29.0523190Z     ``local_rank`` is NOT globally unique: it is only unique per process
2025-06-01T21:26:29.0523310Z     on a machine.  Thus, don't use it to decide if you should, e.g.,
2025-06-01T21:26:29.0523370Z     write to a networked filesystem.  See
2025-06-01T21:26:29.0523550Z     https://github.com/pytorch/pytorch/issues/12042 for an example of
2025-06-01T21:26:29.0523650Z     how things can go wrong if you don't do this correctly.
2025-06-01T21:26:29.0523660Z 
2025-06-01T21:26:29.0523660Z 
2025-06-01T21:26:29.0523660Z 
2025-06-01T21:26:29.0523660Z 
2025-06-01T21:26:29.0523820Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.0523820Z 
2025-06-01T21:26:29.0524240Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/device_mesh.py line=677.
2025-06-01T21:26:29.0524400Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-06-01T21:26:29.0524400Z 
2025-06-01T21:26:29.0524550Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-06-01T21:26:29.0524700Z The submesh created consists of the dimensions and the communicators indicated by
2025-06-01T21:26:29.0524750Z ``mesh_dim_names``
2025-06-01T21:26:29.0524750Z 
2025-06-01T21:26:29.0524790Z Args:
2025-06-01T21:26:29.0524930Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-06-01T21:26:29.0525040Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-06-01T21:26:29.0525080Z Returns:
2025-06-01T21:26:29.0525130Z     A :class:`DeviceMesh` object
2025-06-01T21:26:29.0525140Z 
2025-06-01T21:26:29.0525300Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-06-01T21:26:29.0525350Z In the first example:
2025-06-01T21:26:29.0525500Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-06-01T21:26:29.0525650Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-06-01T21:26:29.0525780Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-06-01T21:26:29.0525910Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-06-01T21:26:29.0526040Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-06-01T21:26:29.0526170Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-06-01T21:26:29.0526170Z 
2025-06-01T21:26:29.0526220Z In the second example:
2025-06-01T21:26:29.0526380Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-06-01T21:26:29.0526560Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-06-01T21:26:29.0526720Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-06-01T21:26:29.0526860Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-06-01T21:26:29.0526860Z 
2025-06-01T21:26:29.0526910Z Example::
2025-06-01T21:26:29.0526910Z 
2025-06-01T21:26:29.0526970Z     >>> # xdoctest: +SKIP("no rank")
2025-06-01T21:26:29.0527070Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-06-01T21:26:29.0527140Z     >>>
2025-06-01T21:26:29.0527300Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-06-01T21:26:29.0527380Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-06-01T21:26:29.0527520Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-06-01T21:26:29.0527580Z     >>> tp_mesh = mesh_2d["tp"]
2025-06-01T21:26:29.0527630Z     >>> dp_mesh = mesh_2d["dp"]
2025-06-01T21:26:29.0527670Z     >>>
2025-06-01T21:26:29.0527720Z     >>> # Initialize a 3D mesh.
2025-06-01T21:26:29.0527880Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-06-01T21:26:29.0528060Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-06-01T21:26:29.0528120Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-06-01T21:26:29.0528200Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-06-01T21:26:29.0528210Z 
2025-06-01T21:26:29.0528590Z Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-06-01T21:26:29.0528600Z 
2025-06-01T21:26:29.0528750Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-06-01T21:26:29.0737470Z                                                                                  ^
2025-06-01T21:26:29.0738020Z msg = Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=40.
2025-06-01T21:26:29.0738220Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.0738230Z 
2025-06-01T21:26:29.0738410Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint
2025-06-01T21:26:29.0738560Z on the coordinator rank, and then broadcast and shard each tensor to all ranks.
2025-06-01T21:26:29.0738560Z 
2025-06-01T21:26:29.0738660Z . N.B. Intended to be used with DynamicMetaLoadPlanner
2025-06-01T21:26:29.0738660Z 
2025-06-01T21:26:29.0738720Z .. warning::
2025-06-01T21:26:29.0738820Z     Current implementation only supports loading Tensors.
2025-06-01T21:26:29.0738820Z 
2025-06-01T21:26:29.0738880Z >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:29.0738930Z >>> sd = {"mode": model}
2025-06-01T21:26:29.0738980Z >>> dcp.load(
2025-06-01T21:26:29.0739020Z >>>    sd,
2025-06-01T21:26:29.0739110Z >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-06-01T21:26:29.0739180Z >>>    planner=DynamicMetaLoadPlanner(),
2025-06-01T21:26:29.0739240Z >>>    checkpoint_id="path_to_model.pt"
2025-06-01T21:26:29.0739280Z >>> )
2025-06-01T21:26:29.0739280Z 
2025-06-01T21:26:29.0739430Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.0739430Z 
2025-06-01T21:26:29.0739920Z msg = Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=151.
2025-06-01T21:26:29.0740080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.0740080Z 
2025-06-01T21:26:29.0740310Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict,
2025-06-01T21:26:29.0740600Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a
2025-06-01T21:26:29.0740670Z metadata file, like Torch Save files.
2025-06-01T21:26:29.0740670Z 
2025-06-01T21:26:29.0740780Z . N.B. Intended to be used with BroadcastingTorchSaveReader
2025-06-01T21:26:29.0740780Z 
2025-06-01T21:26:29.0740830Z .. warning::
2025-06-01T21:26:29.0740940Z     Current implementation only supports loading Tensors.
2025-06-01T21:26:29.0740940Z 
2025-06-01T21:26:29.0741010Z >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:29.0741120Z >>> sd = {"mode": model}
2025-06-01T21:26:29.0741190Z >>> dcp.load(
2025-06-01T21:26:29.0741230Z >>>    sd,
2025-06-01T21:26:29.0741310Z >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-06-01T21:26:29.0741380Z >>>    planner=DynamicMetaLoadPlanner(),
2025-06-01T21:26:29.0741440Z >>>    checkpoint_id="path_to_model.pt"
2025-06-01T21:26:29.0741480Z >>> )
2025-06-01T21:26:29.0741480Z 
2025-06-01T21:26:29.0741630Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.0741630Z 
2025-06-01T21:26:29.0742050Z msg = Cannot scrape callname=SavePlanner in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-06-01T21:26:29.0742200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.0742250Z 
2025-06-01T21:26:29.0742410Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-06-01T21:26:29.0742420Z 
2025-06-01T21:26:29.0742590Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-06-01T21:26:29.0742590Z 
2025-06-01T21:26:29.0742750Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-06-01T21:26:29.0742810Z will be visible to the whole process.
2025-06-01T21:26:29.0742810Z 
2025-06-01T21:26:29.0742970Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-06-01T21:26:29.0742970Z 
2025-06-01T21:26:29.0743110Z 1) set_up_planner - called on all ranks.
2025-06-01T21:26:29.0743190Z     Signals the start of a checkpoint save.
2025-06-01T21:26:29.0743190Z 
2025-06-01T21:26:29.0743260Z 2) create_local_plan - called on all ranks.
2025-06-01T21:26:29.0743430Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-06-01T21:26:29.0743430Z 
2025-06-01T21:26:29.0743550Z 3) create_global_plan - called on the coordinator rank only.
2025-06-01T21:26:29.0743670Z     Takes the SavePlan from all ranks and make any global decision.
2025-06-01T21:26:29.0743680Z 
2025-06-01T21:26:29.0743740Z 4) finish_plan - called on all ranks.
2025-06-01T21:26:29.0743880Z     This gives each rank a chance to adjust to global planning decisions.
2025-06-01T21:26:29.0743880Z 
2025-06-01T21:26:29.0743980Z 5) resolve_data - called multiple times on each rank
2025-06-01T21:26:29.0744100Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-06-01T21:26:29.0744100Z 
2025-06-01T21:26:29.0744280Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-06-01T21:26:29.0744380Z most changes can be expressed by changes in a single method.
2025-06-01T21:26:29.0744390Z 
2025-06-01T21:26:29.0744450Z There are 3 usual patterns of extension:
2025-06-01T21:26:29.0744450Z 
2025-06-01T21:26:29.0744600Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-06-01T21:26:29.0744740Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-06-01T21:26:29.0744750Z 
2025-06-01T21:26:29.0744810Z >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:29.0744890Z >>> class RenamePlanner(DefaultSavePlanner):
2025-06-01T21:26:29.0744940Z >>>     def set_up_planner(
2025-06-01T21:26:29.0744980Z >>>         self,
2025-06-01T21:26:29.0745040Z >>>         state_dict: STATE_DICT_TYPE,
2025-06-01T21:26:29.0745170Z >>>         storage_meta: Optional[StorageMeta],
2025-06-01T21:26:29.0745230Z >>>         is_coordinator: bool,
2025-06-01T21:26:29.0745270Z >>>     ) -> None:
2025-06-01T21:26:29.0745340Z >>> # prefix all keys with `foo_``
2025-06-01T21:26:29.0745520Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-06-01T21:26:29.0745520Z 
2025-06-01T21:26:29.0745720Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-06-01T21:26:29.0745720Z 
2025-06-01T21:26:29.0745800Z >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:29.0745900Z >>> class FP16Planner(DefaultSavePlanner):
2025-06-01T21:26:29.0745960Z >>>     def create_local_plan(self):
2025-06-01T21:26:29.0746030Z >>>         plan = super().create_local_plan()
2025-06-01T21:26:29.0746080Z >>>         for p in plan:
2025-06-01T21:26:29.0746150Z >>>             if p.tensor_data is not None:
2025-06-01T21:26:29.0746250Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-06-01T21:26:29.0746290Z >>>         return plan
2025-06-01T21:26:29.0746330Z >>>
2025-06-01T21:26:29.0746400Z >>>     def resolve_data(self, write_item):
2025-06-01T21:26:29.0746470Z >>>         item = super().resolve_data(write_item)
2025-06-01T21:26:29.0746640Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-06-01T21:26:29.0746640Z 
2025-06-01T21:26:29.0746870Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-06-01T21:26:29.0746880Z 
2025-06-01T21:26:29.0746940Z >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:29.0747010Z >>> from itertools import zip_longest
2025-06-01T21:26:29.0747070Z >>> from dataclasses import replace
2025-06-01T21:26:29.0747170Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-06-01T21:26:29.0747330Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-06-01T21:26:29.0747420Z >>> # This sample doesn't handle ShardedTensors
2025-06-01T21:26:29.0747490Z >>>     def create_global_plan(self, all_plans):
2025-06-01T21:26:29.0747580Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-06-01T21:26:29.0747630Z >>>         items_per_rank = [
2025-06-01T21:26:29.0747720Z >>>             [item for item in items if item is not None]
2025-06-01T21:26:29.0747820Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-06-01T21:26:29.0747860Z >>>         ]
2025-06-01T21:26:29.0747910Z >>>         all_plans = [
2025-06-01T21:26:29.0747980Z >>>             replace(plan, items=items)
2025-06-01T21:26:29.0748100Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-06-01T21:26:29.0748140Z >>>         ]
2025-06-01T21:26:29.0748220Z >>>         return super().create_global_plan(all_plans)
2025-06-01T21:26:29.0748220Z 
2025-06-01T21:26:29.0748380Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-06-01T21:26:29.0748540Z accomplished by having each rank contribute their data items in the local plan and
2025-06-01T21:26:29.0748610Z the global planner aggregate them:
2025-06-01T21:26:29.0748610Z 
2025-06-01T21:26:29.0748670Z >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:29.0748760Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-06-01T21:26:29.0748830Z >>>     def create_local_plan(self) -> SavePlan:
2025-06-01T21:26:29.0748900Z >>>         plan = super().create_local_plan()
2025-06-01T21:26:29.0749000Z >>>         return replace(plan, planner_data="per-rank-data")
2025-06-01T21:26:29.0749040Z >>>
2025-06-01T21:26:29.0749220Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-06-01T21:26:29.0749340Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-06-01T21:26:29.0749440Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-06-01T21:26:29.0749580Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-06-01T21:26:29.0749650Z >>>         return global_plan, metadata
2025-06-01T21:26:29.0749650Z 
2025-06-01T21:26:29.0749800Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.0749800Z 
2025-06-01T21:26:29.0750240Z msg = Cannot scrape callname=LoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-06-01T21:26:29.0750380Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.0750400Z 
2025-06-01T21:26:29.0750590Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-06-01T21:26:29.0750590Z 
2025-06-01T21:26:29.0750750Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-06-01T21:26:29.0750750Z 
2025-06-01T21:26:29.0750910Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-06-01T21:26:29.0750970Z will be visible to the whole process.
2025-06-01T21:26:29.0750980Z 
2025-06-01T21:26:29.0751140Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-06-01T21:26:29.0751140Z 
2025-06-01T21:26:29.0751200Z 1) set_up_planner - called on all ranks.
2025-06-01T21:26:29.0751280Z     Signals the start of loading a checkpoint.
2025-06-01T21:26:29.0751280Z 
2025-06-01T21:26:29.0751420Z 2) create_local_plan - called on all ranks.
2025-06-01T21:26:29.0751590Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-06-01T21:26:29.0751600Z 
2025-06-01T21:26:29.0751700Z 3) create_global_plan - called on the coordinator rank only.
2025-06-01T21:26:29.0751820Z     Takes the LoadPlan from all ranks and make any global decision.
2025-06-01T21:26:29.0751820Z 
2025-06-01T21:26:29.0751900Z 4) load_bytes - called multiple times on each rank
2025-06-01T21:26:29.0752000Z     This is called once per non-tensor value in state_dict.
2025-06-01T21:26:29.0752000Z 
2025-06-01T21:26:29.0752130Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-06-01T21:26:29.0752240Z     They are called in pair for each Tensor value in state_dict.
2025-06-01T21:26:29.0752240Z 
2025-06-01T21:26:29.0752410Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-06-01T21:26:29.0752510Z most changes can be expressed by changes in a single method.
2025-06-01T21:26:29.0752510Z 
2025-06-01T21:26:29.0752580Z There are two usual patterns of extension:
2025-06-01T21:26:29.0752590Z 
2025-06-01T21:26:29.0752730Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-06-01T21:26:29.0752880Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-06-01T21:26:29.0753010Z to keep a reference to the original state_dict as load happens in place so
2025-06-01T21:26:29.0753080Z we need to be able to perform it in place
2025-06-01T21:26:29.0753080Z 
2025-06-01T21:26:29.0753140Z >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:29.0753210Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-06-01T21:26:29.0753260Z >>>     def set_up_planner(
2025-06-01T21:26:29.0753300Z >>>         self,
2025-06-01T21:26:29.0753360Z >>>         state_dict: STATE_DICT_TYPE,
2025-06-01T21:26:29.0753410Z >>>         metadata: Metadata,
2025-06-01T21:26:29.0753470Z >>>         is_coordinator: bool,
2025-06-01T21:26:29.0753510Z >>>     ) -> None:
2025-06-01T21:26:29.0753580Z >>>         self.original_state_dict = state_dict
2025-06-01T21:26:29.0753680Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-06-01T21:26:29.0753720Z >>>
2025-06-01T21:26:29.0753790Z >>>         if self.flatten_sharded_tensors:
2025-06-01T21:26:29.0753880Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-06-01T21:26:29.0753920Z >>>
2025-06-01T21:26:29.0753970Z >>>         if self.flatten_state_dict:
2025-06-01T21:26:29.0754120Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-06-01T21:26:29.0754160Z >>>
2025-06-01T21:26:29.0754210Z >>>         self.state_dict = state_dict
2025-06-01T21:26:29.0754270Z >>>         self.metadata = metadata
2025-06-01T21:26:29.0754340Z >>>         self.is_coordinator = is_coordinator
2025-06-01T21:26:29.0754370Z >>>
2025-06-01T21:26:29.0754440Z >>>     def load_bytes(self, read_item, value):
2025-06-01T21:26:29.0754500Z >>> # Remove the "foo_" prefix
2025-06-01T21:26:29.0754710Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-06-01T21:26:29.0754740Z 
2025-06-01T21:26:29.0754740Z 
2025-06-01T21:26:29.0754940Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-06-01T21:26:29.0754940Z 
2025-06-01T21:26:29.0755000Z >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:29.0755090Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-06-01T21:26:29.0755160Z >>>     def resolve_tensor(self, read_item):
2025-06-01T21:26:29.0755240Z >>>         tensor = super().resolve_tensor(read_item)
2025-06-01T21:26:29.0755330Z >>>         return torch.empty_like(tensor, device="cpu")
2025-06-01T21:26:29.0755380Z >>>
2025-06-01T21:26:29.0755450Z >>>     def commit_tensor(self, read_item, tensor):
2025-06-01T21:26:29.0755550Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-06-01T21:26:29.0755550Z 
2025-06-01T21:26:29.0755740Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.1107940Z 
2025-06-01T21:26:29.1108570Z msg = Cannot scrape callname=get_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py line=1118.
2025-06-01T21:26:29.1108770Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.1108780Z 
2025-06-01T21:26:29.1108880Z Return the model state_dict and optimizers state_dict.
2025-06-01T21:26:29.1108880Z 
2025-06-01T21:26:29.1109020Z ``get_state_dict`` can process any module that is parallelized by PyTorch
2025-06-01T21:26:29.1109180Z FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any
2025-06-01T21:26:29.1109340Z combination of these parallelisms. The main functions of ``get_state_dict``
2025-06-01T21:26:29.1109470Z are: 1.) returning a model and optimizer state_dict that can be resharded
2025-06-01T21:26:29.1109600Z with a different number of trainers and/or different parallelisms.
2025-06-01T21:26:29.1109750Z 2.) hiding the parallelism-specific state_dict APIs. Users don't have to call
2025-06-01T21:26:29.1109800Z these APIs.
2025-06-01T21:26:29.1109870Z 3.) sanity checking the result state_dict.
2025-06-01T21:26:29.1109880Z 
2025-06-01T21:26:29.1110010Z The keys of the result state dictionary are the canonical FQNs (Fully
2025-06-01T21:26:29.1110150Z Qualified Names).  A canonical FQN refers to the FQN based on a parameter's
2025-06-01T21:26:29.1110290Z position in an nn.Module hierarchy. More specifically, a canonical FQN to a
2025-06-01T21:26:29.1110420Z parameter is the FQN returned by ``module.named_parameters()`` or
2025-06-01T21:26:29.1110560Z ``module.named_buffers()`` when the module is not distributed by any
2025-06-01T21:26:29.1110710Z parallelisms. Since the optimizer internally uses parameter IDs to represent
2025-06-01T21:26:29.1110840Z a parameter, there will be a conversion from the parameter IDs to the
2025-06-01T21:26:29.1110910Z canonical FQNs when calling this API.
2025-06-01T21:26:29.1110910Z 
2025-06-01T21:26:29.1111050Z ``get_state_dict`` can also process a module that is not parallelized. In
2025-06-01T21:26:29.1111190Z such a case, ``get_state_dict`` only performs one function -- converting the
2025-06-01T21:26:29.1111270Z optimizer parameter IDs to the canonical FQNs.
2025-06-01T21:26:29.1111270Z 
2025-06-01T21:26:29.1111320Z Example:
2025-06-01T21:26:29.1111370Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:29.1111490Z     >>> import torch
2025-06-01T21:26:29.1111650Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-06-01T21:26:29.1111770Z     >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-06-01T21:26:29.1111910Z     >>> from torch.distributed.checkpoint.state_dict import get_state_dict
2025-06-01T21:26:29.1111920Z 
2025-06-01T21:26:29.1112000Z     >>> fsdp_model = FSDP(copy.deepcopy(model))
2025-06-01T21:26:29.1112110Z     >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-06-01T21:26:29.1112190Z     >>> ddp_model = DDP(copy.deepcopy(model))
2025-06-01T21:26:29.1112350Z     >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-06-01T21:26:29.1112380Z 
2025-06-01T21:26:29.1112380Z 
2025-06-01T21:26:29.1112530Z     >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim)
2025-06-01T21:26:29.1112630Z     >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict(
2025-06-01T21:26:29.1112690Z     ...     fsdp_model, fsdp_optim
2025-06-01T21:26:29.1112730Z     ... )
2025-06-01T21:26:29.1112740Z 
2025-06-01T21:26:29.1112870Z     >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(),
2025-06-01T21:26:29.1112920Z     >>> # the asserts will fail.
2025-06-01T21:26:29.1113000Z     >>> assert ddp_state_dict == fsdp_state_dict
2025-06-01T21:26:29.1113090Z     >>> assert ddp_optim_state == fsdp_optim_state_dict
2025-06-01T21:26:29.1113090Z 
2025-06-01T21:26:29.1113090Z 
2025-06-01T21:26:29.1113170Z Args:
2025-06-01T21:26:29.1113250Z     model (nn.Module): the nn.Module to the model.
2025-06-01T21:26:29.1113370Z     optimizers (Union[None, Optimizer, Iterable[Optimizer]]):
2025-06-01T21:26:29.1113460Z         The optimizers that are used to optimize ``model``.
2025-06-01T21:26:29.1113630Z     submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters
2025-06-01T21:26:29.1113690Z         that belong to the submodules.
2025-06-01T21:26:29.1113790Z     options (StateDictOptions): the options to control how
2025-06-01T21:26:29.1113920Z         model state_dict and optimizer state_dict should be returned. See
2025-06-01T21:26:29.1113980Z         `StateDictOptions` for the details.
2025-06-01T21:26:29.1113990Z 
2025-06-01T21:26:29.1114030Z Returns:
2025-06-01T21:26:29.1114150Z     ``Tuple`` that contain model state_dict and optimizer state_dict.
2025-06-01T21:26:29.1114150Z 
2025-06-01T21:26:29.1114290Z :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType]
2025-06-01T21:26:29.1114290Z 
2025-06-01T21:26:29.1114440Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.1114440Z 
2025-06-01T21:26:29.1114880Z msg = Cannot scrape callname=save in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=85.
2025-06-01T21:26:29.1115040Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.1115040Z 
2025-06-01T21:26:29.1115110Z Save a distributed model in SPMD style.
2025-06-01T21:26:29.1115110Z 
2025-06-01T21:26:29.1115220Z This function is different from ``torch.save()`` as it handles
2025-06-01T21:26:29.1115380Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards.
2025-06-01T21:26:29.1115380Z 
2025-06-01T21:26:29.1115530Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-06-01T21:26:29.1115620Z save will call ``state_dict`` before serialization.
2025-06-01T21:26:29.1115620Z 
2025-06-01T21:26:29.1115790Z .. warning::
2025-06-01T21:26:29.1115930Z     There is no guarantees of Backwards Compatibility across PyTorch versions
2025-06-01T21:26:29.1116050Z     for saved state_dicts.
2025-06-01T21:26:29.1116050Z 
2025-06-01T21:26:29.1121760Z .. warning::
2025-06-01T21:26:29.1121890Z     If using the `process_group` argument, make sure that only its ranks
2025-06-01T21:26:29.1122010Z     call `save_state_dict` and that all data in state_dict belong to it.
2025-06-01T21:26:29.1122090Z 
2025-06-01T21:26:29.1122130Z .. note::
2025-06-01T21:26:29.1122290Z     When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of
2025-06-01T21:26:29.1122440Z     the shard_group should be calling `save_state_dict` and the corresponding process
2025-06-01T21:26:29.1122500Z     group needs to be passed in.
2025-06-01T21:26:29.1122500Z 
2025-06-01T21:26:29.1122540Z .. note::
2025-06-01T21:26:29.1122700Z     If no process group is available, this function assumes the intention is to save the
2025-06-01T21:26:29.1122760Z      state_dict in the local process.
2025-06-01T21:26:29.1122790Z 
2025-06-01T21:26:29.1122850Z .. note:
2025-06-01T21:26:29.1122930Z     Rank 0 is assumed to be the coordinator rank.
2025-06-01T21:26:29.1122930Z 
2025-06-01T21:26:29.1122930Z 
2025-06-01T21:26:29.1122980Z Args:
2025-06-01T21:26:29.1123060Z     state_dict (Dict[str, Any]): The state_dict to save.
2025-06-01T21:26:29.1123150Z     checkpoint_id (Union[str, os.PathLike, None]):
2025-06-01T21:26:29.1123270Z         The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-06-01T21:26:29.1123390Z         depends on the storage. It can be a path to a folder or to a file.
2025-06-01T21:26:29.1123490Z         It can also be a key if the storage is a key-value store.
2025-06-01T21:26:29.1123540Z         (Default: ``None``)
2025-06-01T21:26:29.1123610Z     storage_writer (Optional[StorageWriter]):
2025-06-01T21:26:29.1123770Z         Instance of StorageWriter used to perform writes. If this is not
2025-06-01T21:26:29.1123890Z         specified, DCP will automatically infer the writer based on the
2025-06-01T21:26:29.1124010Z         checkpoint_id. If checkpoint_id is also None, an exception will
2025-06-01T21:26:29.1124070Z         be raised. (Default: ``None``)
2025-06-01T21:26:29.1124130Z     planner (Optional[SavePlanner]):
2025-06-01T21:26:29.1124250Z         Instance of SavePlanner. If this is not specificed, the default
2025-06-01T21:26:29.1124320Z         planner will be used. (Default: ``None``)
2025-06-01T21:26:29.1124390Z     process_group (Optional[ProcessGroup]):
2025-06-01T21:26:29.1124490Z         ProcessGroup to be used for cross-rank synchronization.
2025-06-01T21:26:29.1124540Z         (Default: ``None``)
2025-06-01T21:26:29.1124590Z     no_dist (bool):
2025-06-01T21:26:29.1124800Z         If ``True``, this function will assume the intent is to load
2025-06-01T21:26:29.1124900Z         a checkpoint without using cross-rank synchronization.
2025-06-01T21:26:29.1124960Z         (Default: ``False``)
2025-06-01T21:26:29.1124960Z 
2025-06-01T21:26:29.1125010Z Returns:
2025-06-01T21:26:29.1125100Z     Metadata: Metadata object for the saved checkpoint.
2025-06-01T21:26:29.1125100Z 
2025-06-01T21:26:29.1125150Z Example:
2025-06-01T21:26:29.1125200Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:29.1125260Z     >>> my_model = MyModule()
2025-06-01T21:26:29.1125260Z 
2025-06-01T21:26:29.1125320Z     >>> state_dict = {"model": my_model}
2025-06-01T21:26:29.1125320Z 
2025-06-01T21:26:29.1125470Z     >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-06-01T21:26:29.1125520Z     ...     "/checkpoint/1"
2025-06-01T21:26:29.1125560Z     ... )
2025-06-01T21:26:29.1125630Z     >>> torch.distributed.checkpoint.save(
2025-06-01T21:26:29.1125690Z     >>>     state_dict=state_dict,
2025-06-01T21:26:29.1125750Z     >>>     storage_writer=fs_storage_writer,
2025-06-01T21:26:29.1125800Z     >>> )
2025-06-01T21:26:29.1125800Z 
2025-06-01T21:26:29.1125840Z .. note::
2025-06-01T21:26:29.1125970Z     save_state_dict uses collectives to coordinate writes across ranks.
2025-06-01T21:26:29.1126100Z     For NCCL-based process groups, internal tensor representations of
2025-06-01T21:26:29.1126240Z     objects must be moved to the GPU device before communication takes place.
2025-06-01T21:26:29.1126370Z     In this case, the device used is given by ``torch.cuda.current_device()``
2025-06-01T21:26:29.1126500Z     and it is the user's responsibility to ensure that this is set so that
2025-06-01T21:26:29.1126650Z     each rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-06-01T21:26:29.1126660Z 
2025-06-01T21:26:29.1126810Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.1126810Z 
2025-06-01T21:26:29.1127270Z msg = Cannot scrape callname=async_save in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=195.
2025-06-01T21:26:29.1127420Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.1127600Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the
2025-06-01T21:26:29.1127790Z     staging storage (defaults to CPU memory), and then calls the `save` in a separate thread.
2025-06-01T21:26:29.1127790Z 
2025-06-01T21:26:29.1127840Z     .. warning::
2025-06-01T21:26:29.1127930Z         This feature is experimental and subject to change.
2025-06-01T21:26:29.1127940Z 
2025-06-01T21:26:29.1127980Z     Args:
2025-06-01T21:26:29.1128120Z         state_dict (Dict[str, Any]): The state_dict to save.
2025-06-01T21:26:29.1128210Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-06-01T21:26:29.1128340Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-06-01T21:26:29.1128460Z             depends on the storage. It can be a path to a folder or to a file.
2025-06-01T21:26:29.1128610Z             It can also be a key if the storage is a key-value store.
2025-06-01T21:26:29.1128670Z             (Default: ``None``)
2025-06-01T21:26:29.1128750Z         storage_writer (Optional[StorageWriter]):
2025-06-01T21:26:29.1128880Z             Instance of StorageWriter used to perform 'stage' and  'save'. If
2025-06-01T21:26:29.1129020Z             this is not specified, DCP will automatically infer the writer based on the
2025-06-01T21:26:29.1129150Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-06-01T21:26:29.1129210Z             be raised. (Default: ``None``)
2025-06-01T21:26:29.1129270Z         planner (Optional[SavePlanner]):
2025-06-01T21:26:29.1129390Z             Instance of SavePlanner. If this is not specificed, the default
2025-06-01T21:26:29.1129460Z             planner will be used. (Default: ``None``)
2025-06-01T21:26:29.1129530Z         process_group (Optional[ProcessGroup]):
2025-06-01T21:26:29.1129650Z             ProcessGroup to be used for cross-rank synchronization.
2025-06-01T21:26:29.1129700Z             (Default: ``None``)
2025-06-01T21:26:29.1129700Z 
2025-06-01T21:26:29.1129740Z     Returns:
2025-06-01T21:26:29.1129860Z         Future: A future holding the resultant Metadata object from `save`.
2025-06-01T21:26:29.1129870Z 
2025-06-01T21:26:29.1129910Z     Example:
2025-06-01T21:26:29.1129960Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:29.1130010Z         >>> my_model = MyModule()
2025-06-01T21:26:29.1130010Z 
2025-06-01T21:26:29.1130080Z         >>> state_dict = {"model": my_model}
2025-06-01T21:26:29.1130080Z 
2025-06-01T21:26:29.1130220Z         >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-06-01T21:26:29.1130270Z         ...     "/checkpoint/1"
2025-06-01T21:26:29.1130310Z         ... )
2025-06-01T21:26:29.1130430Z         >>> checkpoint_future = torch.distributed.checkpoint.async_save(
2025-06-01T21:26:29.1130490Z         >>>     state_dict=state_dict,
2025-06-01T21:26:29.1130560Z         >>>     storage_writer=fs_storage_writer,
2025-06-01T21:26:29.1130600Z         >>> )
2025-06-01T21:26:29.1130640Z         >>>
2025-06-01T21:26:29.1130690Z         >>> # ... do some work ...
2025-06-01T21:26:29.1130730Z         >>>
2025-06-01T21:26:29.1130790Z         >>> checkpoint_future.result()
2025-06-01T21:26:29.1130790Z 
2025-06-01T21:26:29.1130830Z     
2025-06-01T21:26:29.1130970Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.1194620Z 
2025-06-01T21:26:29.1195260Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=62.
2025-06-01T21:26:29.1195450Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.1195460Z 
2025-06-01T21:26:29.1195570Z Load a checkpoint into a distributed state dict in SPMD style.
2025-06-01T21:26:29.1195580Z 
2025-06-01T21:26:29.1195710Z Each rank must have the same keys in their ``state_dict`` provided to this
2025-06-01T21:26:29.1195990Z API. Mismatched keys may result in hangs or errors. If unsure, you can use
2025-06-01T21:26:29.1196200Z the ``utils._assert_same_keys`` API to check (but may incur communication
2025-06-01T21:26:29.1196250Z costs).
2025-06-01T21:26:29.1196250Z 
2025-06-01T21:26:29.1196370Z Each rank will try to read the least amount of data necessary
2025-06-01T21:26:29.1196510Z to fulfill the requested `state_dict`. When loading :class:`ShardedTensor`
2025-06-01T21:26:29.1196660Z or :class:`DTensor` instances, each rank only reads data for their local shards.
2025-06-01T21:26:29.1196660Z 
2025-06-01T21:26:29.1196820Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-06-01T21:26:29.1196980Z load will first call ``state_dict`` before attempting deserialization, followed by
2025-06-01T21:26:29.1197090Z ``load_state_dict`` once the deserialization is complete.
2025-06-01T21:26:29.1197280Z For each non-``Stateful`` object, load will deserailize the object, and then replace
2025-06-01T21:26:29.1197380Z it in the ``state_dict`` with the deserialized object.
2025-06-01T21:26:29.1197390Z 
2025-06-01T21:26:29.1197430Z .. warning::
2025-06-01T21:26:29.1197540Z     All tensors in ``state_dict`` must be allocated on their
2025-06-01T21:26:29.1197640Z     destination device *prior to* calling this function.
2025-06-01T21:26:29.1197640Z 
2025-06-01T21:26:29.1197780Z     All non-tensor data is loaded using `torch.load()` and modified in place
2025-06-01T21:26:29.1197830Z     on state_dict.
2025-06-01T21:26:29.1197830Z 
2025-06-01T21:26:29.1197880Z .. warning::
2025-06-01T21:26:29.1198000Z     Users must call `load_state_dict` on the root module to ensure load
2025-06-01T21:26:29.1198110Z     pos-processing and non-tensor data properly propagates.
2025-06-01T21:26:29.1198120Z 
2025-06-01T21:26:29.1198160Z .. note:
2025-06-01T21:26:29.1198300Z     If no process group is initialized, this function will assume the intent
2025-06-01T21:26:29.1198440Z     is to load a checkpoint into the local process. This can be useful in the
2025-06-01T21:26:29.1198590Z     case of local inference, and when using regular Tensors (as opposed to DTensor
2025-06-01T21:26:29.1198650Z      or ShardedTensor)
2025-06-01T21:26:29.1198660Z 
2025-06-01T21:26:29.1198700Z .. note:
2025-06-01T21:26:29.1198770Z     Rank 0 is assumed to be the coordinator rank.
2025-06-01T21:26:29.1198780Z 
2025-06-01T21:26:29.1198810Z Args:
2025-06-01T21:26:29.1198940Z     state_dict (Dict[str, Any]): The state_dict to load the checkpoint into.
2025-06-01T21:26:29.1199010Z     checkpoint_id (Union[str, os.PathLike, None]):
2025-06-01T21:26:29.1199140Z         The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-06-01T21:26:29.1199260Z         depends on the storage. It can be a path to a folder or to a file.
2025-06-01T21:26:29.1199360Z         It can also be a key if the storage is a key-value store.
2025-06-01T21:26:29.1199410Z         (Default: ``None``)
2025-06-01T21:26:29.1199480Z     storage_reader (Optional[StorageReader]):
2025-06-01T21:26:29.1199600Z         Instance of StorageWriter used to perform reads. If this is not
2025-06-01T21:26:29.1199720Z         specified, DCP will automatically infer the reader based on the
2025-06-01T21:26:29.1199830Z         checkpoint_id. If checkpoint_id is also None, an exception will
2025-06-01T21:26:29.1199890Z         be raised. (Default: ``None``)
2025-06-01T21:26:29.1199950Z     planner (Optional[LoadPlanner]):
2025-06-01T21:26:29.1200120Z         Instance of LoadPlanner. If this is not specificed, the default
2025-06-01T21:26:29.1200200Z         planner will be used. (Default: ``None``)
2025-06-01T21:26:29.1200270Z     process_group (Optional[ProcessGroup]):
2025-06-01T21:26:29.1200370Z         ProcessGroup to be used for cross-rank synchronization.
2025-06-01T21:26:29.1200420Z         (Default: ``None``)
2025-06-01T21:26:29.1200550Z     no_dist (bool): If ``True``, this function will assume the intent is to load
2025-06-01T21:26:29.1200690Z         a checkpoint without using cross-rank synchronization. (Default: ``False``)
2025-06-01T21:26:29.1200760Z Returns:
2025-06-01T21:26:29.1200820Z     None.
2025-06-01T21:26:29.1200820Z 
2025-06-01T21:26:29.1200930Z Examples
2025-06-01T21:26:29.1200990Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:29.1201040Z     >>> my_model = MyModule()
2025-06-01T21:26:29.1201120Z     >>> optimizer = Adagrad(my_model.parameters())
2025-06-01T21:26:29.1201190Z     >>> model_state_dict = my_model.state_dict()
2025-06-01T21:26:29.1201340Z     >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader(
2025-06-01T21:26:29.1201390Z     ...     "/checkpoint/1"
2025-06-01T21:26:29.1201430Z     ... )
2025-06-01T21:26:29.1201430Z 
2025-06-01T21:26:29.1201530Z     >>> torch.distributed.checkpoint.load_state_dict(
2025-06-01T21:26:29.1201590Z     >>>     state_dict=model_state_dict,
2025-06-01T21:26:29.1201660Z     >>>     storage_reader=fs_storage_reader,
2025-06-01T21:26:29.1201700Z     >>> )
2025-06-01T21:26:29.1201740Z 
2025-06-01T21:26:29.1201860Z     >>> # module.load_state_dict() function might have customized steps
2025-06-01T21:26:29.1201940Z     >>> # to flush the state_dict, must call it to
2025-06-01T21:26:29.1202000Z     >>> # ensure correct behavior.
2025-06-01T21:26:29.1202080Z     >>> my_model.load_state_dict(model_state_dict)
2025-06-01T21:26:29.1202080Z 
2025-06-01T21:26:29.1202120Z .. note::
2025-06-01T21:26:29.1202250Z     load_state_dict uses collectives to coordinate reads across ranks.
2025-06-01T21:26:29.1202370Z     For NCCL-based process groups, internal tensor representations of
2025-06-01T21:26:29.1202520Z     objects must be moved to the GPU device before communication takes place.
2025-06-01T21:26:29.1202650Z     In this case, the device used is given by ``torch.cuda.current_device()``
2025-06-01T21:26:29.1202780Z     and it is the user's responsibility to ensure that this is set so that each
2025-06-01T21:26:29.1202890Z     rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-06-01T21:26:29.1202900Z 
2025-06-01T21:26:29.1203050Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.1203060Z 
2025-06-01T21:26:29.1203550Z msg = Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=221.
2025-06-01T21:26:29.1203710Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.1203710Z 
2025-06-01T21:26:29.1203830Z Load a state_dict in conjunction with FSDP sharded optimizer state.
2025-06-01T21:26:29.1203830Z 
2025-06-01T21:26:29.1203930Z This is the current recommended way to checkpoint FSDP.
2025-06-01T21:26:29.1203980Z >>> # xdoctest: +SKIP
2025-06-01T21:26:29.1204070Z >>> import torch.distributed.checkpoint as dist_cp
2025-06-01T21:26:29.1204110Z >>> # Save
2025-06-01T21:26:29.1204160Z >>> model: torch.nn.Model
2025-06-01T21:26:29.1204220Z >>> optim_params = model.parameters()
2025-06-01T21:26:29.1204310Z >>> optim = torch.optim.SGD(optim_params, lr=0.01)
2025-06-01T21:26:29.1204350Z >>> # Save
2025-06-01T21:26:29.1204480Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT):
2025-06-01T21:26:29.1204520Z >>>     state_dict = {
2025-06-01T21:26:29.1204620Z >>>         "optimizer": FSDP.optim_state_dict(model, optim),
2025-06-01T21:26:29.1204680Z >>>         "model": model.state_dict()
2025-06-01T21:26:29.1204760Z >>>     }
2025-06-01T21:26:29.1204820Z >>>     dist_cp.save_state_dict(
2025-06-01T21:26:29.1204880Z >>>         state_dict=optim_state,
2025-06-01T21:26:29.1204990Z >>>         storage_writer=dist_cp.FileSystemWriter("checkpoint"),
2025-06-01T21:26:29.1205060Z >>>         planner=dist_cp.DefaultSavePlanner(),
2025-06-01T21:26:29.1205110Z >>>     )
2025-06-01T21:26:29.1205150Z >>>
2025-06-01T21:26:29.1205190Z >>> # Load
2025-06-01T21:26:29.1205330Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT):
2025-06-01T21:26:29.1205400Z >>>     model_state_dict = model_tp.state_dict()
2025-06-01T21:26:29.1205470Z >>>     checkpoint = {
2025-06-01T21:26:29.1205550Z >>>         "model": model_state_dict
2025-06-01T21:26:29.1205590Z >>>     }
2025-06-01T21:26:29.1205650Z >>>     dist_cp.load_state_dict(
2025-06-01T21:26:29.1205700Z >>>         state_dict=checkpoint,
2025-06-01T21:26:29.1205820Z >>>         storage_reader=dist_cp.FileSystemReader(checkpoint_file),
2025-06-01T21:26:29.1205900Z >>>         planner=dist_cp.DefaultLoadPlanner(),
2025-06-01T21:26:29.1205940Z >>>     )
2025-06-01T21:26:29.1206030Z >>>     model.load_state_dict(checkpoint["model_state"])
2025-06-01T21:26:29.1206070Z >>>
2025-06-01T21:26:29.1206180Z >>>     optim_state = dist_cp.load_sharded_optimizer_state_dict(
2025-06-01T21:26:29.1206230Z >>>         model_state_dict,
2025-06-01T21:26:29.1206290Z >>>         optimizer_key="optimizer",
2025-06-01T21:26:29.1206420Z >>>         storage_reader=dist_cp.FileSystemReader("checkpoint"),
2025-06-01T21:26:29.1206470Z >>>     )
2025-06-01T21:26:29.1206510Z >>>
2025-06-01T21:26:29.1206590Z >>>     flattened_osd = FSDP.optim_state_dict_to_load(
2025-06-01T21:26:29.1206670Z >>>        model, optim, optim_state["optimizer"]
2025-06-01T21:26:29.1206710Z >>>     )
2025-06-01T21:26:29.1206750Z >>>
2025-06-01T21:26:29.1206820Z >>>     optim.load_state_dict(flattened_osd)
2025-06-01T21:26:29.1206820Z 
2025-06-01T21:26:29.1206970Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.1206970Z 
2025-06-01T21:26:29.1207430Z msg = Cannot scrape callname=_RemoteModule.__init__ in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=129.
2025-06-01T21:26:29.1207590Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.1207590Z 
2025-06-01T21:26:29.1207720Z RemoteModule instance can only be created after RPC initialization.
2025-06-01T21:26:29.1207730Z 
2025-06-01T21:26:29.1207840Z It creates a user-specified module on a specified remote node.
2025-06-01T21:26:29.1207980Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-06-01T21:26:29.1208040Z executed on the remote node.
2025-06-01T21:26:29.1208170Z It takes care of autograd recording to ensure the backward pass propagates
2025-06-01T21:26:29.1208260Z gradients back to the corresponding remote module.
2025-06-01T21:26:29.1208480Z It can be shared across processors using `RPC framework <https://pytorch.org/docs/stable/rpc.html>`__,
2025-06-01T21:26:29.1208590Z without incurring any overheads of copying the actual module,
2025-06-01T21:26:29.1208710Z which is equivalent to an :class:`~torch.distributed.rpc.RRef`
2025-06-01T21:26:29.1208770Z pointing to the remote module.
2025-06-01T21:26:29.1208770Z 
2025-06-01T21:26:29.1208880Z The arguments of ``forward_async`` and ``forward`` are the same as
2025-06-01T21:26:29.1209010Z the ``forward`` method of the module returned by the ``module_cls``.
2025-06-01T21:26:29.1209010Z 
2025-06-01T21:26:29.1209190Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now.
2025-06-01T21:26:29.1209200Z 
2025-06-01T21:26:29.1209350Z Particularly, to create a hybrid model, typically the local modules should be
2025-06-01T21:26:29.1209570Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``).
2025-06-01T21:26:29.1209650Z Hybrid Example:
2025-06-01T21:26:29.1209710Z         >>> class HybridModel(nn.Module):
2025-06-01T21:26:29.1209780Z         >>>     def __init__(self) -> None:
2025-06-01T21:26:29.1209840Z         >>>         nn.Module.__init__(self)
2025-06-01T21:26:29.1209930Z         >>>         self.remote_embedding = RemoteModule(...)
2025-06-01T21:26:29.1210000Z         >>>         self.local_linear = nn.Linear(...)
2025-06-01T21:26:29.1210000Z 
2025-06-01T21:26:29.1210130Z For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-06-01T21:26:29.1210270Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``,
2025-06-01T21:26:29.1210420Z the generated ``RemoteModule`` will have 2 methods in signature of
2025-06-01T21:26:29.1210510Z ``def forward(input: Tensor) -> Tensor:`` and
2025-06-01T21:26:29.1210600Z ``def forward_async(input: Tensor) -> Future[Tensor]:``.
2025-06-01T21:26:29.1210600Z 
2025-06-01T21:26:29.1210650Z .. note::
2025-06-01T21:26:29.1210730Z     If the remote module is placed on a cuda device,
2025-06-01T21:26:29.1210870Z     any input CPU tensors will be automatically moved to the same cuda device,
2025-06-01T21:26:29.1211100Z     and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend.
2025-06-01T21:26:29.1211110Z 
2025-06-01T21:26:29.1211150Z Args:
2025-06-01T21:26:29.1211330Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-06-01T21:26:29.1211560Z         The device can be a local device or a remote device specified by one of the following remote
2025-06-01T21:26:29.1211610Z         formats:
2025-06-01T21:26:29.1211610Z 
2025-06-01T21:26:29.1211700Z             1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-06-01T21:26:29.1211780Z             2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-06-01T21:26:29.1211790Z 
2025-06-01T21:26:29.1211930Z         In addition, the device field can be optional and the default value is "cpu".
2025-06-01T21:26:29.1211990Z     module_cls (nn.Module): For example,
2025-06-01T21:26:29.1212050Z         >>> class MyModule(nn.Module):
2025-06-01T21:26:29.1212100Z         >>>     def forward(input):
2025-06-01T21:26:29.1212150Z         >>>         return input + 1
2025-06-01T21:26:29.1212190Z         >>>
2025-06-01T21:26:29.1212250Z         >>> module_cls = MyModule
2025-06-01T21:26:29.1212360Z     args (Sequence, optional): args to be passed to ``module_cls``.
2025-06-01T21:26:29.1212480Z     kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-06-01T21:26:29.1212640Z     _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-06-01T21:26:29.1212780Z         to be created. The type object should be decorated by @torch.jit.interface.
2025-06-01T21:26:29.1212900Z         If not provided, the generated RemoteModule is not torchscript-able.
2025-06-01T21:26:29.1213040Z         Warning, this is an experimental API and susceptible to frequent changes.
2025-06-01T21:26:29.1213050Z 
2025-06-01T21:26:29.1213090Z Returns:
2025-06-01T21:26:29.1213220Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-06-01T21:26:29.1213360Z     user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-06-01T21:26:29.1213510Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-06-01T21:26:29.1213600Z     on the user-provided module on the remote side.
2025-06-01T21:26:29.1213600Z 
2025-06-01T21:26:29.1213640Z Example::
2025-06-01T21:26:29.1213730Z     Run the following code in two different processes:
2025-06-01T21:26:29.1213730Z 
2025-06-01T21:26:29.1213790Z     >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:29.1213840Z     >>> # On worker 0:
2025-06-01T21:26:29.1213880Z     >>> import torch
2025-06-01T21:26:29.1213950Z     >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:29.1214010Z     >>> from torch import nn, Tensor
2025-06-01T21:26:29.1214140Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-06-01T21:26:29.1214210Z     >>>
2025-06-01T21:26:29.1214290Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-06-01T21:26:29.1214350Z     >>> remote_linear_module = RemoteModule(
2025-06-01T21:26:29.1214430Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-06-01T21:26:29.1214470Z     >>> )
2025-06-01T21:26:29.1214520Z     >>> input = torch.randn(128, 20)
2025-06-01T21:26:29.1214610Z     >>> ret_fut = remote_linear_module.forward_async(input)
2025-06-01T21:26:29.1214660Z     >>> ret = ret_fut.wait()
2025-06-01T21:26:29.1214710Z     >>> rpc.shutdown()
2025-06-01T21:26:29.1214710Z 
2025-06-01T21:26:29.1214820Z     >>> # On worker 1:
2025-06-01T21:26:29.1214890Z     >>> import torch
2025-06-01T21:26:29.1214960Z     >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:29.1215000Z     >>>
2025-06-01T21:26:29.1215080Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-06-01T21:26:29.1215130Z     >>> rpc.shutdown()
2025-06-01T21:26:29.1215130Z 
2025-06-01T21:26:29.1215280Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.2336150Z 
2025-06-01T21:26:29.2336840Z msg = Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=506.
2025-06-01T21:26:29.2337040Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.2337210Z 
2025-06-01T21:26:29.2337420Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef.
2025-06-01T21:26:29.2337430Z 
2025-06-01T21:26:29.2337630Z This alternate initialization method can be particularly useful if we want to create multiple
2025-06-01T21:26:29.2337820Z RemoteModule instances that share the same underlying module and reduce memory consumption.
2025-06-01T21:26:29.2337820Z 
2025-06-01T21:26:29.2338020Z Moreover, this also provides a workaround for passing script RemoteModule over RPC,
2025-06-01T21:26:29.2338140Z which is not supported. The recommended way is as follows:
2025-06-01T21:26:29.2338140Z 
2025-06-01T21:26:29.2338210Z     1. the sender creates a RemoteModule;
2025-06-01T21:26:29.2338300Z     2. the sender sends its ``module_rref`` over RPC;
2025-06-01T21:26:29.2338500Z     3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``.
2025-06-01T21:26:29.2338510Z 
2025-06-01T21:26:29.2338570Z Example::
2025-06-01T21:26:29.2338660Z     Run the following code in two different processes:
2025-06-01T21:26:29.2338660Z 
2025-06-01T21:26:29.2338730Z     >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:29.2338780Z     >>> # On worker 0:
2025-06-01T21:26:29.2338830Z     >>> import torch
2025-06-01T21:26:29.2338900Z     >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:29.2338960Z     >>> from torch import nn, Tensor
2025-06-01T21:26:29.2339090Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-06-01T21:26:29.2339130Z     >>>
2025-06-01T21:26:29.2339210Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-06-01T21:26:29.2339270Z     >>> remote_module = RemoteModule(
2025-06-01T21:26:29.2339340Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-06-01T21:26:29.2339440Z     >>> )
2025-06-01T21:26:29.2339480Z     >>>
2025-06-01T21:26:29.2339540Z     >>> remote_module1 = rpc.rpc_sync(
2025-06-01T21:26:29.2339590Z     >>>     "worker1/cpu",
2025-06-01T21:26:29.2339670Z     >>>     RemoteModule.init_from_module_rref,
2025-06-01T21:26:29.2339760Z     >>>     ("worker1/cpu", remote_module1.get_module_rref()),
2025-06-01T21:26:29.2339800Z     >>> )
2025-06-01T21:26:29.2339850Z     >>> rpc.shutdown()
2025-06-01T21:26:29.2339850Z 
2025-06-01T21:26:29.2339890Z     >>> # On worker 1:
2025-06-01T21:26:29.2339940Z     >>> import torch
2025-06-01T21:26:29.2340000Z     >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:29.2340040Z     >>>
2025-06-01T21:26:29.2340250Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-06-01T21:26:29.2340290Z     >>> rpc.shutdown()
2025-06-01T21:26:29.2340290Z 
2025-06-01T21:26:29.2340330Z Args:
2025-06-01T21:26:29.2340500Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-06-01T21:26:29.2340670Z         The device can be a local device or a remote device specified by one of the following remote
2025-06-01T21:26:29.2340710Z         formats:
2025-06-01T21:26:29.2340720Z 
2025-06-01T21:26:29.2340800Z             1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-06-01T21:26:29.2340970Z             2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-06-01T21:26:29.2341000Z 
2025-06-01T21:26:29.2341150Z         In addition, the device field can be optional and the default value is "cpu".
2025-06-01T21:26:29.2341300Z     module_rref (RRef[nn.Module]): The module reference shared by both the caller and
2025-06-01T21:26:29.2341350Z         the created remote module.
2025-06-01T21:26:29.2341520Z     _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-06-01T21:26:29.2341650Z         to be created. The type object should be decorated by @torch.jit.interface.
2025-06-01T21:26:29.2341790Z         If not provided, the generated RemoteModule is not torchscript-able.
2025-06-01T21:26:29.2341920Z         Warning, this is an experimental API and susceptible to frequent changes.
2025-06-01T21:26:29.2341930Z 
2025-06-01T21:26:29.2341970Z Returns:
2025-06-01T21:26:29.2342170Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-06-01T21:26:29.2342310Z     user-provided ``module_rref``, it has a blocking ``forward`` method and an
2025-06-01T21:26:29.2342470Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-06-01T21:26:29.2342560Z     on the user-provided module on the remote side.
2025-06-01T21:26:29.2342560Z 
2025-06-01T21:26:29.2342700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.2342700Z 
2025-06-01T21:26:29.2343140Z msg = Cannot scrape callname=RemoteModule in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=598.
2025-06-01T21:26:29.2343290Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.2343290Z 
2025-06-01T21:26:29.2343430Z     A RemoteModule instance can only be created after RPC initialization.
2025-06-01T21:26:29.2343430Z 
2025-06-01T21:26:29.2343540Z     It creates a user-specified module on a specified remote node.
2025-06-01T21:26:29.2343680Z     It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-06-01T21:26:29.2343740Z     executed on the remote node.
2025-06-01T21:26:29.2343880Z     It takes care of autograd recording to ensure the backward pass propagates
2025-06-01T21:26:29.2343970Z     gradients back to the corresponding remote module.
2025-06-01T21:26:29.2343970Z 
2025-06-01T21:26:29.2344100Z     It generates two methods ``forward_async`` and ``forward`` based on the
2025-06-01T21:26:29.2344230Z     signature of the ``forward`` method of ``module_cls``. ``forward_async``
2025-06-01T21:26:29.2344380Z     runs asynchronously and returns a Future. The arguments of ``forward_async``
2025-06-01T21:26:29.2344490Z     and ``forward`` are the same as the ``forward`` method of the module
2025-06-01T21:26:29.2344550Z     returned by the ``module_cls``.
2025-06-01T21:26:29.2344560Z 
2025-06-01T21:26:29.2344780Z     For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-06-01T21:26:29.2344930Z     that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``,
2025-06-01T21:26:29.2345070Z     the generated ``RemoteModule`` will have 2 methods with the signatures:
2025-06-01T21:26:29.2345070Z 
2025-06-01T21:26:29.2345150Z     | ``def forward(input: Tensor) -> Tensor:``
2025-06-01T21:26:29.2345250Z     | ``def forward_async(input: Tensor) -> Future[Tensor]:``
2025-06-01T21:26:29.2345310Z 
2025-06-01T21:26:29.2345360Z Args:
2025-06-01T21:26:29.2345550Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-06-01T21:26:29.2345750Z         The format should be "<workername>/<device>", where the device field can be parsed as torch.device type.
2025-06-01T21:26:29.2345840Z         E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0".
2025-06-01T21:26:29.2345980Z         In addition, the device field can be optional and the default value is "cpu".
2025-06-01T21:26:29.2346150Z     module_cls (nn.Module): Class for the module to be created remotely. For example,
2025-06-01T21:26:29.2346170Z 
2025-06-01T21:26:29.2346240Z         >>> class MyModule(nn.Module):
2025-06-01T21:26:29.2346300Z         >>>     def forward(input):
2025-06-01T21:26:29.2346350Z         >>>         return input + 1
2025-06-01T21:26:29.2346400Z         >>>
2025-06-01T21:26:29.2346450Z         >>> module_cls = MyModule
2025-06-01T21:26:29.2346450Z 
2025-06-01T21:26:29.2346570Z     args (Sequence, optional): args to be passed to ``module_cls``.
2025-06-01T21:26:29.2346690Z     kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-06-01T21:26:29.2346690Z 
2025-06-01T21:26:29.2346740Z Returns:
2025-06-01T21:26:29.2346880Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-06-01T21:26:29.2347020Z     user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-06-01T21:26:29.2347210Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-06-01T21:26:29.2347300Z     on the user-provided module on the remote side.
2025-06-01T21:26:29.2347310Z 
2025-06-01T21:26:29.2347350Z Example::
2025-06-01T21:26:29.2347440Z     Run the following code in two different processes:
2025-06-01T21:26:29.2347440Z 
2025-06-01T21:26:29.2347500Z     >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:29.2347560Z     >>> # On worker 0:
2025-06-01T21:26:29.2347600Z     >>> import torch
2025-06-01T21:26:29.2347670Z     >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:29.2347730Z     >>> from torch import nn, Tensor
2025-06-01T21:26:29.2347860Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-06-01T21:26:29.2347900Z     >>>
2025-06-01T21:26:29.2347980Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-06-01T21:26:29.2348050Z     >>> remote_linear_module = RemoteModule(
2025-06-01T21:26:29.2348130Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-06-01T21:26:29.2348170Z     >>> )
2025-06-01T21:26:29.2348230Z     >>> input = torch.randn(128, 20)
2025-06-01T21:26:29.2348320Z     >>> ret_fut = remote_linear_module.forward_async(input)
2025-06-01T21:26:29.2348380Z     >>> ret = ret_fut.wait()
2025-06-01T21:26:29.2348430Z     >>> rpc.shutdown()
2025-06-01T21:26:29.2348430Z 
2025-06-01T21:26:29.2348480Z     >>> # On worker 1:
2025-06-01T21:26:29.2348520Z     >>> import torch
2025-06-01T21:26:29.2348590Z     >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:29.2348630Z     >>>
2025-06-01T21:26:29.2348710Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-06-01T21:26:29.2348760Z     >>> rpc.shutdown()
2025-06-01T21:26:29.2348760Z 
2025-06-01T21:26:29.2348870Z     Furthermore, a more practical example that is combined with
2025-06-01T21:26:29.2349160Z     `DistributedDataParallel <https://pytorch.org/docs/stable/nn.html#torch.nn.parallel.DistributedDataParallel>`__ (DDP)
2025-06-01T21:26:29.2349360Z     can be found in this `tutorial <https://pytorch.org/tutorials/advanced/rpc_ddp_tutorial.html>`__.
2025-06-01T21:26:29.2349360Z 
2025-06-01T21:26:29.2349520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.2349520Z 
2025-06-01T21:26:29.2350010Z msg = Cannot scrape callname=construct_and_record_rdzv_event in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/elastic/events/__init__.py line=94.
2025-06-01T21:26:29.2350200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.2350200Z 
2025-06-01T21:26:29.2350320Z Initialize rendezvous event object and record its operations.
2025-06-01T21:26:29.2350320Z 
2025-06-01T21:26:29.2350370Z Args:
2025-06-01T21:26:29.2350440Z     run_id (str): The run id of the rendezvous.
2025-06-01T21:26:29.2350530Z     message (str): The message describing the event.
2025-06-01T21:26:29.2350680Z     node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED).
2025-06-01T21:26:29.2350810Z     name (str): Event name. (E.g. Current action being performed).
2025-06-01T21:26:29.2350890Z     hostname (str): Hostname of the node.
2025-06-01T21:26:29.2350980Z     pid (Optional[int]): The process id of the node.
2025-06-01T21:26:29.2351130Z     master_endpoint (str): The master endpoint for the rendezvous store, if known.
2025-06-01T21:26:29.2351290Z     local_id (Optional[int]):  The local_id of the node, if defined in dynamic_rendezvous.py
2025-06-01T21:26:29.2351390Z     rank (Optional[int]): The rank of the node, if known.
2025-06-01T21:26:29.2351430Z Returns:
2025-06-01T21:26:29.2351470Z     None
2025-06-01T21:26:29.2351520Z Example:
2025-06-01T21:26:29.2351590Z     >>> # See DynamicRendezvousHandler class
2025-06-01T21:26:29.2351630Z     >>> def _record(
2025-06-01T21:26:29.2351670Z     ...     self,
2025-06-01T21:26:29.2351720Z     ...     message: str,
2025-06-01T21:26:29.2351850Z     ...     node_state: NodeState = NodeState.RUNNING,
2025-06-01T21:26:29.2351910Z     ...     rank: Optional[int] = None,
2025-06-01T21:26:29.2351960Z     ... ) -> None:
2025-06-01T21:26:29.2352030Z     ...     construct_and_record_rdzv_event(
2025-06-01T21:26:29.2352130Z     ...         name=f"{self.__class__.__name__}.{get_method_name()}",
2025-06-01T21:26:29.2352200Z     ...         run_id=self._settings.run_id,
2025-06-01T21:26:29.2352260Z     ...         message=message,
2025-06-01T21:26:29.2352320Z     ...         node_state=node_state,
2025-06-01T21:26:29.2352390Z     ...         hostname=self._this_node.addr,
2025-06-01T21:26:29.2352440Z     ...         pid=self._this_node.pid,
2025-06-01T21:26:29.2352520Z     ...         local_id=self._this_node.local_id,
2025-06-01T21:26:29.2352570Z     ...         rank=rank,
2025-06-01T21:26:29.2352610Z     ...     )
2025-06-01T21:26:29.2352620Z 
2025-06-01T21:26:29.2352770Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.2657070Z 
2025-06-01T21:26:29.2657690Z msg = Cannot scrape callname=_CustomReducer in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py line=29.
2025-06-01T21:26:29.2657880Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.2657880Z 
2025-06-01T21:26:29.2658020Z Custom reducer class that can be used to specify a custom operation that
2025-06-01T21:26:29.2658120Z reduces losses of multiple microbatches into one value.
2025-06-01T21:26:29.2658130Z 
2025-06-01T21:26:29.2658170Z Example:
2025-06-01T21:26:29.2658220Z >>> # xdoctest: +SKIP
2025-06-01T21:26:29.2658280Z >>> sum_reducer = _CustomReducer(
2025-06-01T21:26:29.2658340Z >>>     torch.tensor(0.0),
2025-06-01T21:26:29.2658390Z >>>     lambda a, b: a + b
2025-06-01T21:26:29.2658430Z >>> )
2025-06-01T21:26:29.2658430Z 
2025-06-01T21:26:29.2658580Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.2658590Z 
2025-06-01T21:26:29.2659130Z msg = Cannot scrape callname=PeriodicModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38.
2025-06-01T21:26:29.2659290Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.2659290Z 
2025-06-01T21:26:29.2659410Z Averages parameters periodically after the warm-up stage.
2025-06-01T21:26:29.2659490Z 
2025-06-01T21:26:29.2659650Z This can be used for running `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-06-01T21:26:29.2659780Z by running :class:`~torch.nn.DistributedDataParallel` (DDP)
2025-06-01T21:26:29.2659920Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`.
2025-06-01T21:26:29.2659920Z 
2025-06-01T21:26:29.2659970Z Args:
2025-06-01T21:26:29.2660070Z     period (int): The number of steps per model averaging.
2025-06-01T21:26:29.2660240Z                   Usually the period should be greater than ``1`` to reduce the communication cost.
2025-06-01T21:26:29.2660360Z                   Otherwise, only DDP needs to be used.
2025-06-01T21:26:29.2660530Z     warmup_steps (int): The number of warm-up steps. During this stage,
2025-06-01T21:26:29.2660610Z                         model averaging is skipped.
2025-06-01T21:26:29.2660720Z     process_group: The process group to be used for all-reduce.
2025-06-01T21:26:29.2660810Z                    If ``None``, the default process group, which
2025-06-01T21:26:29.2660920Z                    is created by :func:`torch.distributed.init_process_group`,
2025-06-01T21:26:29.2661000Z                    will be used. (default: ``None``)
2025-06-01T21:26:29.2661000Z 
2025-06-01T21:26:29.2661040Z Example::
2025-06-01T21:26:29.2661050Z 
2025-06-01T21:26:29.2661110Z     >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:29.2661160Z     >>> import torch
2025-06-01T21:26:29.2661220Z     >>> import torch.distributed as dist
2025-06-01T21:26:29.2661440Z     >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD
2025-06-01T21:26:29.2661600Z     >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-06-01T21:26:29.2661650Z     >>> import torch.nn as nn
2025-06-01T21:26:29.2661700Z     >>>
2025-06-01T21:26:29.2661800Z     >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-06-01T21:26:29.2661860Z     >>> torch.cuda.set_device(rank)
2025-06-01T21:26:29.2661930Z     >>> module = nn.Linear(1, 1, bias=False).cuda()
2025-06-01T21:26:29.2662020Z     >>> model = nn.parallel.DistributedDataParallel(
2025-06-01T21:26:29.2662100Z     >>>    module, device_ids=[rank], output_device=rank
2025-06-01T21:26:29.2662150Z     >>> )
2025-06-01T21:26:29.2662230Z     >>> # Register a post-localSGD communication hook.
2025-06-01T21:26:29.2662400Z     >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-06-01T21:26:29.2662490Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-06-01T21:26:29.2662530Z     >>>
2025-06-01T21:26:29.2662690Z     >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-06-01T21:26:29.2662780Z     >>> # After 100 steps, run model averaging every 4 steps.
2025-06-01T21:26:29.2662960Z     >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-06-01T21:26:29.2663110Z     >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-06-01T21:26:29.2663170Z     >>> for step in range(0, 200):
2025-06-01T21:26:29.2663220Z     >>>    optimizer.zero_grad()
2025-06-01T21:26:29.2663280Z     >>>    loss = loss_fn(output, labels)
2025-06-01T21:26:29.2663330Z     >>>    loss.backward()
2025-06-01T21:26:29.2663380Z     >>>    optimizer.step()
2025-06-01T21:26:29.2673180Z     >>>    # Will average model parameters globally every 4 steps. Thus,
2025-06-01T21:26:29.2673320Z     >>>    # inter-node communication only occurs every 4 iterations after
2025-06-01T21:26:29.2673390Z     >>>    # the initial ``warmup_steps`` period.
2025-06-01T21:26:29.2673500Z     >>>    averager.average_parameters(model.parameters())
2025-06-01T21:26:29.2673500Z 
2025-06-01T21:26:29.2673680Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.2673680Z 
2025-06-01T21:26:29.2674330Z msg = Cannot scrape callname=HierarchicalModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19.
2025-06-01T21:26:29.2674550Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.2674550Z 
2025-06-01T21:26:29.2674760Z Runs hierarchical model averaging (`hierarchical SGD <https://arxiv.org/pdf/2010.12998.pdf>`_).
2025-06-01T21:26:29.2674770Z 
2025-06-01T21:26:29.2674990Z Process groups of different sizes are organized in a hierarchy, and they average parameters
2025-06-01T21:26:29.2675140Z by using different periods concurrently after the warm-up stage.
2025-06-01T21:26:29.2675440Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`
2025-06-01T21:26:29.2675660Z that supports `post-local SGD <https://arxiv.org/abs/1808.07217>`_, which essentially only supports
2025-06-01T21:26:29.2675850Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine
2025-06-01T21:26:29.2676060Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`.
2025-06-01T21:26:29.2676230Z Similarly, the process groups within this class do not have such an intra-machine process
2025-06-01T21:26:29.2676400Z subgroup, which should be embedded by the post-local SGD communication hook instead.
2025-06-01T21:26:29.2676400Z 
2025-06-01T21:26:29.2676440Z Args:
2025-06-01T21:26:29.2676640Z     period_group_size_dict: An ordered dict mapping keys of model averaging period to
2025-06-01T21:26:29.2676760Z                             process group size, used for initializing process groups of
2025-06-01T21:26:29.2676910Z                             different sizes in a hierarchy to average parameters concurrently.
2025-06-01T21:26:29.2677040Z                             Particularly, at each iteration, there will be at most a single
2025-06-01T21:26:29.2677220Z                             process group that runs averaging -- the period of such group should
2025-06-01T21:26:29.2677410Z                             have the largest period which the current step can be divided by.
2025-06-01T21:26:29.2677520Z                             For example, if the dict has three keys: 2, 4, and 8,
2025-06-01T21:26:29.2677640Z                             then this means totally three process groups will be created to
2025-06-01T21:26:29.2677770Z                             average parameters every 2, 4, and 8 iterations, respectively.
2025-06-01T21:26:29.2677890Z                             At the 4th iteration, only the second process group will run
2025-06-01T21:26:29.2678000Z                             averaging, because the first process group should be a
2025-06-01T21:26:29.2678130Z                             subset of the second process group, and no need to execute the first
2025-06-01T21:26:29.2678210Z                             process group redundantly.
2025-06-01T21:26:29.2678330Z                             On the other hand, the third process group can only be triggered
2025-06-01T21:26:29.2678470Z                             every 8 iterations, so it will not be triggered at the 4th iteration.
2025-06-01T21:26:29.2678650Z     warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped.
2025-06-01T21:26:29.2678910Z     process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging.
2025-06-01T21:26:29.2679020Z                                             If ``None``, the default process group, which is created
2025-06-01T21:26:29.2679150Z                                             by :func:`torch.distributed.init_process_group`, will be used.
2025-06-01T21:26:29.2679230Z                                             (default: ``None``)
2025-06-01T21:26:29.2679240Z 
2025-06-01T21:26:29.2679280Z Example::
2025-06-01T21:26:29.2679350Z     >>> # xdoctest: +SKIP('undefined rank')
2025-06-01T21:26:29.2679410Z     >>> from collections import OrderedDict
2025-06-01T21:26:29.2679510Z     >>> import torch
2025-06-01T21:26:29.2679580Z     >>> import torch.distributed as dist
2025-06-01T21:26:29.2679740Z     >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-06-01T21:26:29.2679800Z     >>>     PostLocalSGDState,
2025-06-01T21:26:29.2679850Z     >>>     post_localSGD_hook,
2025-06-01T21:26:29.2679890Z     >>> )
2025-06-01T21:26:29.2680100Z     >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD
2025-06-01T21:26:29.2680150Z     >>> import torch.nn as nn
2025-06-01T21:26:29.2680190Z     >>>
2025-06-01T21:26:29.2680320Z     >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-06-01T21:26:29.2680400Z     >>> torch.cuda.set_device(rank)
2025-06-01T21:26:29.2680480Z     >>> module = nn.Linear(1, 1, bias=False).to(rank)
2025-06-01T21:26:29.2680570Z     >>> model = nn.parallel.DistributedDataParallel(
2025-06-01T21:26:29.2680650Z     >>>    module, device_ids=[rank], output_device=rank
2025-06-01T21:26:29.2680690Z     >>> )
2025-06-01T21:26:29.2680780Z     >>> # Register a post-localSGD communication hook.
2025-06-01T21:26:29.2680940Z     >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4.
2025-06-01T21:26:29.2681000Z     >>> subgroup, _ = dist.new_subgroups()
2025-06-01T21:26:29.2681180Z     >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100)
2025-06-01T21:26:29.2681300Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-06-01T21:26:29.2681350Z     >>>
2025-06-01T21:26:29.2681510Z     >>> # Average parameters among each group of 8 processes every 4 iterations, and among all
2025-06-01T21:26:29.2681580Z     >>> # the 16 processes every 16 iterations.
2025-06-01T21:26:29.2681690Z     >>> averager = hierarchicalSGD.HierarchicalModelAverager(
2025-06-01T21:26:29.2681830Z     >>>     period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100)
2025-06-01T21:26:29.2682010Z     >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-06-01T21:26:29.2682170Z     >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-06-01T21:26:29.2682260Z     >>> # After 100 steps, run model averaging at two levels.
2025-06-01T21:26:29.2682310Z     >>> for step in range(0, 200):
2025-06-01T21:26:29.2682370Z     >>>    optimizer.zero_grad()
2025-06-01T21:26:29.2682430Z     >>>    loss = loss_fn(output, labels)
2025-06-01T21:26:29.2682480Z     >>>    loss.backward()
2025-06-01T21:26:29.2682530Z     >>>    optimizer.step()
2025-06-01T21:26:29.2682620Z     >>>    # Average parameters after ``optimizer.step()``.
2025-06-01T21:26:29.2682780Z     >>>    # Thus, the inter-node communication only occurs periodically after ``warmup_steps``.
2025-06-01T21:26:29.2682880Z     >>>    averager.average_parameters(model.parameters())
2025-06-01T21:26:29.2682880Z 
2025-06-01T21:26:29.2682920Z .. warning ::
2025-06-01T21:26:29.2683070Z     The last group size in the dict must be the size of the provided ``process_group``,
2025-06-01T21:26:29.2683200Z     which indicates model averaging at the highest level of the hierarchy.
2025-06-01T21:26:29.2683380Z     If ``process_group`` is not provided, then the last group size should be equal to the world size.
2025-06-01T21:26:29.2683390Z 
2025-06-01T21:26:29.2683430Z .. warning ::
2025-06-01T21:26:29.2683560Z     `HierarchicalModelAverager` is experimental and subject to change.
2025-06-01T21:26:29.2683570Z 
2025-06-01T21:26:29.2683710Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.3300810Z 
2025-06-01T21:26:29.3301730Z msg = Cannot scrape callname=post_localSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72.
2025-06-01T21:26:29.3302570Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.3302930Z 
2025-06-01T21:26:29.3303000Z Run post-localSGD algorithm.
2025-06-01T21:26:29.3303120Z 
2025-06-01T21:26:29.3303260Z This DDP communication hook is used for running post-localSGD algorithm,
2025-06-01T21:26:29.3303580Z by combining with a model averaging component (e.g.,
2025-06-01T21:26:29.3303940Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`)
2025-06-01T21:26:29.3304280Z that runs after the optimizer step.
2025-06-01T21:26:29.3304410Z 
2025-06-01T21:26:29.3304460Z Args:
2025-06-01T21:26:29.3304700Z     state (PostLocalSGDState): State information to run post-localSGD.
2025-06-01T21:26:29.3305100Z         Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD.
2025-06-01T21:26:29.3305600Z     bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-06-01T21:26:29.3306060Z         Note that since DDP comm hook only supports single process single device mode,
2025-06-01T21:26:29.3306360Z         only exactly one tensor is stored in this bucket.
2025-06-01T21:26:29.3306520Z 
2025-06-01T21:26:29.3306560Z Returns:
2025-06-01T21:26:29.3306760Z     Future handler of the communication, which updates the gradients in place.
2025-06-01T21:26:29.3307030Z 
2025-06-01T21:26:29.3307090Z Example::
2025-06-01T21:26:29.3307200Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:29.3307550Z     >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup,
2025-06-01T21:26:29.3307850Z                               start_localSGD_iter=10)
2025-06-01T21:26:29.3308090Z     >>> ddp_model.register_comm_hook(state, post_localSGD_hook)
2025-06-01T21:26:29.3308450Z     >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``.
2025-06-01T21:26:29.3308920Z     >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module.
2025-06-01T21:26:29.3309200Z 
2025-06-01T21:26:29.3309350Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.3309570Z 
2025-06-01T21:26:29.3310060Z msg = Cannot scrape callname=powerSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342.
2025-06-01T21:26:29.3310780Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.3311000Z 
2025-06-01T21:26:29.3311060Z Implement PowerSGD algorithm.
2025-06-01T21:26:29.3311170Z 
2025-06-01T21:26:29.3311310Z This DDP communication hook implements PowerSGD gradient compression
2025-06-01T21:26:29.3311660Z algorithm described in the `paper <https://arxiv.org/abs/1905.13727>`_.
2025-06-01T21:26:29.3312010Z Once gradient tensors are aggregated across all workers, this hook applies
2025-06-01T21:26:29.3312270Z compression as follows:
2025-06-01T21:26:29.3312370Z 
2025-06-01T21:26:29.3312630Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups:
2025-06-01T21:26:29.3312950Z 
2025-06-01T21:26:29.3313200Z     1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth.
2025-06-01T21:26:29.3313500Z 
2025-06-01T21:26:29.3313730Z     1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases).
2025-06-01T21:26:29.3314030Z 
2025-06-01T21:26:29.3314090Z 2. Handles uncompressed tensors:
2025-06-01T21:26:29.3314210Z 
2025-06-01T21:26:29.3314510Z     2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression;
2025-06-01T21:26:29.3314870Z 
2025-06-01T21:26:29.3315070Z     2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor.
2025-06-01T21:26:29.3315330Z 
2025-06-01T21:26:29.3315540Z 3. Handles the tensors that should be compressed by PowerSGD compression:
2025-06-01T21:26:29.3315740Z 
2025-06-01T21:26:29.3315890Z     3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M,
2025-06-01T21:26:29.3316290Z     such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized;
2025-06-01T21:26:29.3316540Z 
2025-06-01T21:26:29.3316630Z     3.2. Computes each P in Ps, which is equal to MQ;
2025-06-01T21:26:29.3316780Z 
2025-06-01T21:26:29.3316840Z     3.3. Allreduces Ps as a batch;
2025-06-01T21:26:29.3316960Z 
2025-06-01T21:26:29.3317020Z     3.4. Orthogonalizes each P in Ps;
2025-06-01T21:26:29.3317200Z 
2025-06-01T21:26:29.3317340Z     3.5. Computes each Q in Qs, which is approximately equal to M^TP;
2025-06-01T21:26:29.3317540Z 
2025-06-01T21:26:29.3317590Z     3.6. Allreduces Qs as a batch;
2025-06-01T21:26:29.3317710Z 
2025-06-01T21:26:29.3317880Z     3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T.
2025-06-01T21:26:29.3318130Z 
2025-06-01T21:26:29.3318370Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations.
2025-06-01T21:26:29.3318830Z This not only gives the user more control over the tradeoff between speedup and accuracy,
2025-06-01T21:26:29.3319320Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers.
2025-06-01T21:26:29.3319640Z 
2025-06-01T21:26:29.3319680Z Args:
2025-06-01T21:26:29.3320030Z     state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc.
2025-06-01T21:26:29.3320560Z         To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter``
2025-06-01T21:26:29.3320900Z         and ``min_compression_rate``.
2025-06-01T21:26:29.3321330Z     bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-06-01T21:26:29.3321790Z         Note that since DDP comm hook only supports single process single device mode,
2025-06-01T21:26:29.3322090Z         only exactly one tensor is stored in this bucket.
2025-06-01T21:26:29.3322240Z 
2025-06-01T21:26:29.3322290Z Returns:
2025-06-01T21:26:29.3322490Z     Future handler of the communication, which updates the gradients in place.
2025-06-01T21:26:29.3322700Z 
2025-06-01T21:26:29.3322760Z Example::
2025-06-01T21:26:29.3322870Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:29.3323140Z     >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1,
2025-06-01T21:26:29.3323480Z                               start_powerSGD_iter=10, min_compression_rate=0.5)
2025-06-01T21:26:29.3323740Z     >>> ddp_model.register_comm_hook(state, powerSGD_hook)
2025-06-01T21:26:29.3323900Z 
2025-06-01T21:26:29.3324060Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.3324270Z 
2025-06-01T21:26:29.3324770Z msg = Cannot scrape callname=PostLocalSGDOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9.
2025-06-01T21:26:29.3325480Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.3325700Z 
2025-06-01T21:26:29.3325930Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-06-01T21:26:29.3326310Z This optimizer runs local optimizer at every step.
2025-06-01T21:26:29.3326660Z After the warm-up stage, it averages parameters periodically afer the local optimizer is applied.
2025-06-01T21:26:29.3326920Z 
2025-06-01T21:26:29.3326970Z Args:
2025-06-01T21:26:29.3327080Z     optim: The local optimizer.
2025-06-01T21:26:29.3327330Z     averager: A model averager instance to run post-localSGD algorithm.
2025-06-01T21:26:29.3327520Z 
2025-06-01T21:26:29.3327570Z Example::
2025-06-01T21:26:29.3327670Z 
2025-06-01T21:26:29.3327750Z     >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:29.3327930Z     >>> import torch
2025-06-01T21:26:29.3328080Z     >>> import torch.distributed as dist
2025-06-01T21:26:29.3328370Z     >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-06-01T21:26:29.3328660Z     >>> import torch.nn as nn
2025-06-01T21:26:29.3328890Z     >>> from torch.distributed.optim import PostLocalSGDOptimizer
2025-06-01T21:26:29.3329230Z     >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-06-01T21:26:29.3329510Z     >>>   PostLocalSGDState,
2025-06-01T21:26:29.3329700Z     >>>   post_localSGD_hook,
2025-06-01T21:26:29.3329880Z     >>> )
2025-06-01T21:26:29.3329990Z     >>>
2025-06-01T21:26:29.3330140Z     >>> model = nn.parallel.DistributedDataParallel(
2025-06-01T21:26:29.3330390Z     >>>    module, device_ids=[rank], output_device=rank
2025-06-01T21:26:29.3330580Z     >>> )
2025-06-01T21:26:29.3330680Z     >>>
2025-06-01T21:26:29.3330830Z     >>> # Register a post-localSGD communication hook.
2025-06-01T21:26:29.3331150Z     >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-06-01T21:26:29.3331480Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-06-01T21:26:29.3331680Z     >>>
2025-06-01T21:26:29.3331870Z     >>> # Create a post-localSGD optimizer that wraps a local optimizer.
2025-06-01T21:26:29.3332240Z     >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as
2025-06-01T21:26:29.3332570Z     >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-06-01T21:26:29.3332860Z     >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01)
2025-06-01T21:26:29.3333120Z     >>> opt = PostLocalSGDOptimizer(
2025-06-01T21:26:29.3333300Z     >>>     optim=local_optim,
2025-06-01T21:26:29.3333560Z     >>>     averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-06-01T21:26:29.3333800Z     >>> )
2025-06-01T21:26:29.3333910Z     >>>
2025-06-01T21:26:29.3334100Z     >>> # In the first 100 steps, DDP runs global gradient averaging at every step.
2025-06-01T21:26:29.3334490Z     >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default),
2025-06-01T21:26:29.3334950Z     >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer.
2025-06-01T21:26:29.3335300Z     >>> for step in range(0, 200):
2025-06-01T21:26:29.3335470Z     >>>    opt.zero_grad()
2025-06-01T21:26:29.3335630Z     >>>    loss = loss_fn(output, labels)
2025-06-01T21:26:29.3335810Z     >>>    loss.backward()
2025-06-01T21:26:29.3335960Z     >>>    opt.step()
2025-06-01T21:26:29.3336050Z 
2025-06-01T21:26:29.3336200Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.3336420Z 
2025-06-01T21:26:29.3336870Z msg = Cannot scrape callname=DistributedOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=129.
2025-06-01T21:26:29.3337540Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.3337760Z 
2025-06-01T21:26:29.3337910Z DistributedOptimizer takes remote references to parameters scattered
2025-06-01T21:26:29.3338250Z across workers and applies the given optimizer locally for each parameter.
2025-06-01T21:26:29.3338450Z 
2025-06-01T21:26:29.3338600Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order
2025-06-01T21:26:29.3338900Z to retrieve the gradients for specific parameters.
2025-06-01T21:26:29.3339050Z 
2025-06-01T21:26:29.3339100Z Concurrent calls to
2025-06-01T21:26:29.3339300Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`,
2025-06-01T21:26:29.3339560Z either from the same or different clients, will
2025-06-01T21:26:29.3339830Z be serialized on each worker -- as each worker's optimizer can only work
2025-06-01T21:26:29.3340220Z on one set of gradients at a time. However, there is no guarantee that
2025-06-01T21:26:29.3340540Z the full forward-backward-optimizer sequence will execute for one client
2025-06-01T21:26:29.3340870Z at a time. This means that the gradients being applied may not correspond
2025-06-01T21:26:29.3341190Z to the latest forward pass executed on a given worker. Also, there is no
2025-06-01T21:26:29.3341440Z guaranteed ordering across workers.
2025-06-01T21:26:29.3341560Z 
2025-06-01T21:26:29.3341710Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled
2025-06-01T21:26:29.3342070Z by default, so that optimizer updates are not blocked by the Python Global
2025-06-01T21:26:29.3342430Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed
2025-06-01T21:26:29.3342770Z Model Parallel). This feature is currently enabled for most optimizers. You
2025-06-01T21:26:29.3343130Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support
2025-06-01T21:26:29.3343390Z for your own custom optimizers.
2025-06-01T21:26:29.3343500Z 
2025-06-01T21:26:29.3343550Z Args:
2025-06-01T21:26:29.3343720Z     optimizer_class (optim.Optimizer): the class of optimizer to
2025-06-01T21:26:29.3343950Z         instantiate on each worker.
2025-06-01T21:26:29.3344190Z     params_rref (list[RRef]): list of RRefs to local or remote parameters
2025-06-01T21:26:29.3344420Z         to optimize.
2025-06-01T21:26:29.3344620Z     args: arguments to pass to the optimizer constructor on each worker.
2025-06-01T21:26:29.3344970Z     kwargs: arguments to pass to the optimizer constructor on each worker.
2025-06-01T21:26:29.3345170Z 
2025-06-01T21:26:29.3345210Z Example::
2025-06-01T21:26:29.3345340Z     >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:29.3345680Z     >>> import torch.distributed.autograd as dist_autograd
2025-06-01T21:26:29.3345930Z     >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:29.3346120Z     >>> from torch import optim
2025-06-01T21:26:29.3346350Z     >>> from torch.distributed.optim import DistributedOptimizer
2025-06-01T21:26:29.3346570Z     >>>
2025-06-01T21:26:29.3346700Z     >>> with dist_autograd.context() as context_id:
2025-06-01T21:26:29.3346900Z     >>>   # Forward pass.
2025-06-01T21:26:29.3347120Z     >>>   rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3))
2025-06-01T21:26:29.3347420Z     >>>   rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1))
2025-06-01T21:26:29.3347680Z     >>>   loss = rref1.to_here() + rref2.to_here()
2025-06-01T21:26:29.3347870Z     >>>
2025-06-01T21:26:29.3347980Z     >>>   # Backward pass.
2025-06-01T21:26:29.3348160Z     >>>   dist_autograd.backward(context_id, [loss.sum()])
2025-06-01T21:26:29.3348360Z     >>>
2025-06-01T21:26:29.3348460Z     >>>   # Optimizer.
2025-06-01T21:26:29.3348620Z     >>>   dist_optim = DistributedOptimizer(
2025-06-01T21:26:29.3348800Z     >>>      optim.SGD,
2025-06-01T21:26:29.3348940Z     >>>      [rref1, rref2],
2025-06-01T21:26:29.3349080Z     >>>      lr=0.05,
2025-06-01T21:26:29.3349210Z     >>>   )
2025-06-01T21:26:29.3349330Z     >>>   dist_optim.step(context_id)
2025-06-01T21:26:29.3349450Z 
2025-06-01T21:26:29.3349540Z __ https://github.com/pytorch/tutorials/pull/1465
2025-06-01T21:26:29.3349690Z 
2025-06-01T21:26:29.3349840Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.3517560Z 
2025-06-01T21:26:29.3518260Z msg = Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284.
2025-06-01T21:26:29.3519020Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.3519260Z 
2025-06-01T21:26:29.3519500Z Wrap an arbitrary :class:`optim.Optimizer <torch.optim.Optimizer>` and shards its states across ranks in the group.
2025-06-01T21:26:29.3519820Z 
2025-06-01T21:26:29.3519900Z The sharing is done as described by ZeRO_.
2025-06-01T21:26:29.3520150Z 
2025-06-01T21:26:29.3520240Z The local optimizer instance in each rank is only
2025-06-01T21:26:29.3520550Z responsible for updating approximately ``1 / world_size`` parameters and
2025-06-01T21:26:29.3520910Z hence only needs to keep ``1 / world_size`` optimizer states. After
2025-06-01T21:26:29.3521250Z parameters are updated locally, each rank will broadcast its parameters to
2025-06-01T21:26:29.3521580Z all other peers to keep all model replicas in the same state.
2025-06-01T21:26:29.3521870Z ``ZeroRedundancyOptimizer`` can be used in conjunction with
2025-06-01T21:26:29.3522230Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak
2025-06-01T21:26:29.3522520Z memory consumption.
2025-06-01T21:26:29.3522610Z 
2025-06-01T21:26:29.3522760Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number
2025-06-01T21:26:29.3523120Z of parameters at each rank. Each parameter belongs to a single rank and is
2025-06-01T21:26:29.3523460Z not divided among ranks. The partition is arbitrary and might not match the
2025-06-01T21:26:29.3523740Z the parameter registration or usage order.
2025-06-01T21:26:29.3523880Z 
2025-06-01T21:26:29.3523920Z Arguments:
2025-06-01T21:26:29.3524100Z     params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s
2025-06-01T21:26:29.3524400Z         or :class:`dict` s giving all parameters, which will be sharded
2025-06-01T21:26:29.3524630Z         across ranks.
2025-06-01T21:26:29.3524730Z 
2025-06-01T21:26:29.3524770Z Keyword Args:
2025-06-01T21:26:29.3525070Z     optimizer_class (:class:`torch.nn.Optimizer`): the class of the local
2025-06-01T21:26:29.3525320Z         optimizer.
2025-06-01T21:26:29.3525530Z     process_group (``ProcessGroup``, optional): ``torch.distributed``
2025-06-01T21:26:29.3525840Z         ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by
2025-06-01T21:26:29.3526110Z         :meth:`torch.distributed.init_process_group`).
2025-06-01T21:26:29.3526390Z     parameters_as_bucket_view (bool, optional): if ``True``, parameters are
2025-06-01T21:26:29.3526710Z         packed into buckets to speed up communication, and ``param.data``
2025-06-01T21:26:29.3527010Z         fields point to bucket views at different offsets; if ``False``,
2025-06-01T21:26:29.3527310Z         each individual parameter is communicated separately, and each
2025-06-01T21:26:29.3527580Z         ``params.data`` stays intact (default: ``False``).
2025-06-01T21:26:29.3527840Z     overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is
2025-06-01T21:26:29.3528130Z         overlapped with :class:`DistributedDataParallel` 's gradient
2025-06-01T21:26:29.3528440Z         synchronization; this requires (1) either a functional optimizer
2025-06-01T21:26:29.3528730Z         for the ``optimizer_class`` argument or one with a functional
2025-06-01T21:26:29.3529000Z         equivalent and (2) registering a DDP communication hook
2025-06-01T21:26:29.3529290Z         constructed from one of the functions in ``ddp_zero_hook.py``;
2025-06-01T21:26:29.3529570Z         parameters are packed into buckets matching those in
2025-06-01T21:26:29.3529820Z         :class:`DistributedDataParallel`, meaning that the
2025-06-01T21:26:29.3530060Z         ``parameters_as_bucket_view`` argument is ignored.
2025-06-01T21:26:29.3530320Z         If ``False``, :meth:`step` runs disjointly after the backward pass
2025-06-01T21:26:29.3530540Z         (per normal).
2025-06-01T21:26:29.3530670Z         (default: ``False``)
2025-06-01T21:26:29.3535990Z     **defaults: any trailing arguments, which are forwarded to the local
2025-06-01T21:26:29.3536250Z         optimizer.
2025-06-01T21:26:29.3536330Z 
2025-06-01T21:26:29.3536390Z Example::
2025-06-01T21:26:29.3536460Z 
2025-06-01T21:26:29.3536510Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:29.3536670Z     >>> import torch.nn as nn
2025-06-01T21:26:29.3536890Z     >>> from torch.distributed.optim import ZeroRedundancyOptimizer
2025-06-01T21:26:29.3537190Z     >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-06-01T21:26:29.3537600Z     >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)])
2025-06-01T21:26:29.3537860Z     >>> ddp = DDP(model, device_ids=[rank])
2025-06-01T21:26:29.3538060Z     >>> opt = ZeroRedundancyOptimizer(
2025-06-01T21:26:29.3538230Z     >>>     ddp.parameters(),
2025-06-01T21:26:29.3538400Z     >>>     optimizer_class=torch.optim.Adam,
2025-06-01T21:26:29.3538580Z     >>>     lr=0.01
2025-06-01T21:26:29.3538700Z     >>> )
2025-06-01T21:26:29.3538820Z     >>> ddp(inputs).sum().backward()
2025-06-01T21:26:29.3538980Z     >>> opt.step()
2025-06-01T21:26:29.3539060Z 
2025-06-01T21:26:29.3539240Z .. warning::
2025-06-01T21:26:29.3539540Z     Currently, ``ZeroRedundancyOptimizer`` requires that all of the
2025-06-01T21:26:29.3539800Z     passed-in parameters are the same dense type.
2025-06-01T21:26:29.3539950Z 
2025-06-01T21:26:29.3539990Z .. warning::
2025-06-01T21:26:29.3540180Z     If you pass ``overlap_with_ddp=True``, be wary of the following: Given
2025-06-01T21:26:29.3540560Z     the way that overlapping :class:`DistributedDataParallel` with
2025-06-01T21:26:29.3540890Z     :class:`ZeroRedundancyOptimizer` is currently implemented, the first
2025-06-01T21:26:29.3541230Z     two or three training iterations do not perform parameter updates in
2025-06-01T21:26:29.3541550Z     the optimizer step, depending on if ``static_graph=False`` or
2025-06-01T21:26:29.3541840Z     ``static_graph=True``, respectively. This is because it needs
2025-06-01T21:26:29.3542160Z     information about the gradient bucketing strategy used by
2025-06-01T21:26:29.3542470Z     :class:`DistributedDataParallel`, which is not finalized until the
2025-06-01T21:26:29.3542800Z     second forward pass if ``static_graph=False`` or until the third
2025-06-01T21:26:29.3543100Z     forward pass if ``static_graph=True``. To adjust for this, one option
2025-06-01T21:26:29.3543340Z     is to prepend dummy inputs.
2025-06-01T21:26:29.3543450Z 
2025-06-01T21:26:29.3543600Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change.
2025-06-01T21:26:29.3543810Z 
2025-06-01T21:26:29.3543890Z .. _ZeRO: https://arxiv.org/abs/1910.02054
2025-06-01T21:26:29.3544020Z 
2025-06-01T21:26:29.3544020Z 
2025-06-01T21:26:29.3544160Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.3544370Z 
2025-06-01T21:26:29.3544920Z msg = Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=639.
2025-06-01T21:26:29.3545680Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.3546040Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-06-01T21:26:29.3546250Z 
2025-06-01T21:26:29.3546410Z         Also takes (optional) configuration for the model's and optimizer's state dict.
2025-06-01T21:26:29.3546750Z         The target module does not have to be a FSDP module. If the target
2025-06-01T21:26:29.3547050Z         module is a FSDP module, its ``state_dict_type`` will also be changed.
2025-06-01T21:26:29.3547240Z 
2025-06-01T21:26:29.3547360Z         .. note:: This API should be called for only the top-level (root)
2025-06-01T21:26:29.3547570Z             module.
2025-06-01T21:26:29.3547650Z 
2025-06-01T21:26:29.3547770Z         .. note:: This API enables users to transparently use the conventional
2025-06-01T21:26:29.3548140Z             ``state_dict`` API to take model checkpoints in cases where the
2025-06-01T21:26:29.3548450Z             root FSDP module is wrapped by another ``nn.Module``. For example,
2025-06-01T21:26:29.3548780Z             the following will ensure ``state_dict`` is called on all non-FSDP
2025-06-01T21:26:29.3549120Z             instances, while dispatching into `sharded_state_dict` implementation
2025-06-01T21:26:29.3549380Z             for FSDP:
2025-06-01T21:26:29.3549470Z 
2025-06-01T21:26:29.3549550Z         Example::
2025-06-01T21:26:29.3549630Z 
2025-06-01T21:26:29.3549720Z             >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:29.3549930Z             >>> model = DDP(FSDP(...))
2025-06-01T21:26:29.3550120Z             >>> FSDP.set_state_dict_type(
2025-06-01T21:26:29.3550290Z             >>>     model,
2025-06-01T21:26:29.3550460Z             >>>     StateDictType.SHARDED_STATE_DICT,
2025-06-01T21:26:29.3550730Z             >>>     state_dict_config = ShardedStateDictConfig(offload_to_cpu=True),
2025-06-01T21:26:29.3551090Z             >>>     optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True),
2025-06-01T21:26:29.3551360Z             >>> )
2025-06-01T21:26:29.3551520Z             >>> param_state_dict = model.state_dict()
2025-06-01T21:26:29.3551760Z             >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-06-01T21:26:29.3551940Z 
2025-06-01T21:26:29.3551980Z         Args:
2025-06-01T21:26:29.3552120Z             module (torch.nn.Module): Root module.
2025-06-01T21:26:29.3552400Z             state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-06-01T21:26:29.3552750Z             state_dict_config (Optional[StateDictConfig]): the configuration for the
2025-06-01T21:26:29.3553030Z                 target ``state_dict_type``.
2025-06-01T21:26:29.3553300Z             optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration
2025-06-01T21:26:29.3553590Z                 for the optimizer state dict.
2025-06-01T21:26:29.3553750Z 
2025-06-01T21:26:29.3553800Z         Returns:
2025-06-01T21:26:29.3554010Z             A StateDictSettings that include the previous state_dict type and
2025-06-01T21:26:29.3554270Z             configuration for the module.
2025-06-01T21:26:29.3554440Z         
2025-06-01T21:26:29.3554650Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.3554860Z 
2025-06-01T21:26:29.3555410Z msg = Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=797.
2025-06-01T21:26:29.3556180Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.3556540Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-06-01T21:26:29.3556760Z 
2025-06-01T21:26:29.3556950Z         This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of
2025-06-01T21:26:29.3557280Z         :meth:`set_state_dict_type` for the detail.
2025-06-01T21:26:29.3557420Z 
2025-06-01T21:26:29.3557470Z         Example::
2025-06-01T21:26:29.3557550Z 
2025-06-01T21:26:29.3557630Z             >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:29.3557840Z             >>> model = DDP(FSDP(...))
2025-06-01T21:26:29.3558020Z             >>> with FSDP.state_dict_type(
2025-06-01T21:26:29.3558200Z             >>>     model,
2025-06-01T21:26:29.3558370Z             >>>     StateDictType.SHARDED_STATE_DICT,
2025-06-01T21:26:29.3558560Z             >>> ):
2025-06-01T21:26:29.3558700Z             >>>     checkpoint = model.state_dict()
2025-06-01T21:26:29.3558840Z 
2025-06-01T21:26:29.3558880Z         Args:
2025-06-01T21:26:29.3559020Z             module (torch.nn.Module): Root module.
2025-06-01T21:26:29.3559310Z             state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-06-01T21:26:29.3559650Z             state_dict_config (Optional[StateDictConfig]): the model ``state_dict``
2025-06-01T21:26:29.3559960Z                 configuration for the target ``state_dict_type``.
2025-06-01T21:26:29.3560270Z             optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer
2025-06-01T21:26:29.3560600Z                ``state_dict`` configuration for the target ``state_dict_type``.
2025-06-01T21:26:29.3560820Z         
2025-06-01T21:26:29.3561030Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.4443990Z 
2025-06-01T21:26:29.4444810Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1810.
2025-06-01T21:26:29.4445640Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.4445900Z 
2025-06-01T21:26:29.4446060Z Transform the state-dict of an optimizer corresponding to a sharded model.
2025-06-01T21:26:29.4446280Z 
2025-06-01T21:26:29.4446500Z The given state-dict can be transformed to one of three types:
2025-06-01T21:26:29.4446910Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict.
2025-06-01T21:26:29.4447150Z 
2025-06-01T21:26:29.4447290Z For full optimizer state_dict, all states are unflattened and not sharded.
2025-06-01T21:26:29.4447620Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to
2025-06-01T21:26:29.4447850Z avoid OOM.
2025-06-01T21:26:29.4447920Z 
2025-06-01T21:26:29.4448050Z For sharded optimizer state_dict, all states are unflattened but sharded.
2025-06-01T21:26:29.4448370Z CPU only can be specified via :meth:`state_dict_type` to further save
2025-06-01T21:26:29.4448590Z memory.
2025-06-01T21:26:29.4448650Z 
2025-06-01T21:26:29.4448810Z For local state_dict, no transformation will be performed. But a state
2025-06-01T21:26:29.4449230Z will be converted from nn.Tensor to ShardedTensor to represent its sharding
2025-06-01T21:26:29.4449510Z nature (this is not supported yet).
2025-06-01T21:26:29.4449640Z 
2025-06-01T21:26:29.4449690Z Example::
2025-06-01T21:26:29.4449760Z 
2025-06-01T21:26:29.4449830Z     >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:29.4450110Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-06-01T21:26:29.4450410Z     >>> from torch.distributed.fsdp import StateDictType
2025-06-01T21:26:29.4450680Z     >>> from torch.distributed.fsdp import FullStateDictConfig
2025-06-01T21:26:29.4450970Z     >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-06-01T21:26:29.4451210Z     >>> # Save a checkpoint
2025-06-01T21:26:29.4451360Z     >>> model, optim = ...
2025-06-01T21:26:29.4451510Z     >>> FSDP.set_state_dict_type(
2025-06-01T21:26:29.4451670Z     >>>     model,
2025-06-01T21:26:29.4451820Z     >>>     StateDictType.FULL_STATE_DICT,
2025-06-01T21:26:29.4452020Z     >>>     FullStateDictConfig(rank0_only=False),
2025-06-01T21:26:29.4452250Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-06-01T21:26:29.4452450Z     >>> )
2025-06-01T21:26:29.4452580Z     >>> state_dict = model.state_dict()
2025-06-01T21:26:29.4452810Z     >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-06-01T21:26:29.4453060Z     >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-06-01T21:26:29.4453250Z     >>> # Load a checkpoint
2025-06-01T21:26:29.4453410Z     >>> model, optim = ...
2025-06-01T21:26:29.4453590Z     >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-06-01T21:26:29.4453810Z     >>> FSDP.set_state_dict_type(
2025-06-01T21:26:29.4453960Z     >>>     model,
2025-06-01T21:26:29.4454100Z     >>>     StateDictType.FULL_STATE_DICT,
2025-06-01T21:26:29.4454300Z     >>>     FullStateDictConfig(rank0_only=False),
2025-06-01T21:26:29.4454520Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-06-01T21:26:29.4454710Z     >>> )
2025-06-01T21:26:29.4454830Z     >>> model.load_state_dict(state_dict)
2025-06-01T21:26:29.4455040Z     >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-06-01T21:26:29.4455250Z     >>>     model, optim, optim_state_dict
2025-06-01T21:26:29.4455420Z     >>> )
2025-06-01T21:26:29.4455550Z     >>> optim.load_state_dict(optim_state_dict)
2025-06-01T21:26:29.4455680Z 
2025-06-01T21:26:29.4455720Z Args:
2025-06-01T21:26:29.4455890Z     model (torch.nn.Module): Root module (which may or may not be a
2025-06-01T21:26:29.4456290Z         :class:`FullyShardedDataParallel` instance) whose parameters
2025-06-01T21:26:29.4456550Z         were passed into the optimizer ``optim``.
2025-06-01T21:26:29.4456790Z     optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-06-01T21:26:29.4457010Z         parameters.
2025-06-01T21:26:29.4457220Z     optim_state_dict (Dict[str, Any]): the target optimizer state_dict to
2025-06-01T21:26:29.4457600Z         transform. If the value is None, optim.state_dict() will be used. (
2025-06-01T21:26:29.4457840Z         Default: ``None``)
2025-06-01T21:26:29.4458120Z     group (dist.ProcessGroup): Model's process group across which parameters
2025-06-01T21:26:29.4458470Z         are sharded or ``None`` if using the default process group. (
2025-06-01T21:26:29.4458700Z         Default: ``None``)
2025-06-01T21:26:29.4458800Z 
2025-06-01T21:26:29.4458840Z Returns:
2025-06-01T21:26:29.4459020Z     Dict[str, Any]: A :class:`dict` containing the optimizer state for
2025-06-01T21:26:29.4459300Z     ``model``. The sharding of the optimizer state is based on
2025-06-01T21:26:29.4459520Z     ``state_dict_type``.
2025-06-01T21:26:29.4459610Z 
2025-06-01T21:26:29.4459760Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.4459970Z 
2025-06-01T21:26:29.4460610Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1908.
2025-06-01T21:26:29.4461400Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.4461630Z 
2025-06-01T21:26:29.4461840Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model.
2025-06-01T21:26:29.4462120Z 
2025-06-01T21:26:29.4462210Z Given a ``optim_state_dict`` that is transformed through
2025-06-01T21:26:29.4462510Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer
2025-06-01T21:26:29.4462830Z state_dict that can be loaded to ``optim`` which is the optimizer for
2025-06-01T21:26:29.4463140Z ``model``. ``model`` must be sharded by FullyShardedDataParallel.
2025-06-01T21:26:29.4463320Z 
2025-06-01T21:26:29.4463390Z     >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:29.4463670Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-06-01T21:26:29.4463980Z     >>> from torch.distributed.fsdp import StateDictType
2025-06-01T21:26:29.4464290Z     >>> from torch.distributed.fsdp import FullStateDictConfig
2025-06-01T21:26:29.4464580Z     >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-06-01T21:26:29.4464820Z     >>> # Save a checkpoint
2025-06-01T21:26:29.4464970Z     >>> model, optim = ...
2025-06-01T21:26:29.4465130Z     >>> FSDP.set_state_dict_type(
2025-06-01T21:26:29.4465280Z     >>>     model,
2025-06-01T21:26:29.4465420Z     >>>     StateDictType.FULL_STATE_DICT,
2025-06-01T21:26:29.4465630Z     >>>     FullStateDictConfig(rank0_only=False),
2025-06-01T21:26:29.4465860Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-06-01T21:26:29.4466050Z     >>> )
2025-06-01T21:26:29.4466180Z     >>> state_dict = model.state_dict()
2025-06-01T21:26:29.4466370Z     >>> original_osd = optim.state_dict()
2025-06-01T21:26:29.4466570Z     >>> optim_state_dict = FSDP.optim_state_dict(
2025-06-01T21:26:29.4466750Z     >>>     model,
2025-06-01T21:26:29.4466870Z     >>>     optim,
2025-06-01T21:26:29.4467010Z     >>>     optim_state_dict=original_osd
2025-06-01T21:26:29.4467170Z     >>> )
2025-06-01T21:26:29.4467320Z     >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-06-01T21:26:29.4467530Z     >>> # Load a checkpoint
2025-06-01T21:26:29.4467670Z     >>> model, optim = ...
2025-06-01T21:26:29.4467860Z     >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-06-01T21:26:29.4468070Z     >>> FSDP.set_state_dict_type(
2025-06-01T21:26:29.4468230Z     >>>     model,
2025-06-01T21:26:29.4468430Z     >>>     StateDictType.FULL_STATE_DICT,
2025-06-01T21:26:29.4468630Z     >>>     FullStateDictConfig(rank0_only=False),
2025-06-01T21:26:29.4468860Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-06-01T21:26:29.4469050Z     >>> )
2025-06-01T21:26:29.4469170Z     >>> model.load_state_dict(state_dict)
2025-06-01T21:26:29.4469380Z     >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-06-01T21:26:29.4469590Z     >>>     model, optim, optim_state_dict
2025-06-01T21:26:29.4469760Z     >>> )
2025-06-01T21:26:29.4469880Z     >>> optim.load_state_dict(optim_state_dict)
2025-06-01T21:26:29.4470020Z 
2025-06-01T21:26:29.4470110Z Args:
2025-06-01T21:26:29.4470320Z     model (torch.nn.Module): Root module (which may or may not be a
2025-06-01T21:26:29.4470620Z         :class:`FullyShardedDataParallel` instance) whose parameters
2025-06-01T21:26:29.4470870Z         were passed into the optimizer ``optim``.
2025-06-01T21:26:29.4471120Z     optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-06-01T21:26:29.4471330Z         parameters.
2025-06-01T21:26:29.4471530Z     optim_state_dict (Dict[str, Any]): The optimizer states to be loaded.
2025-06-01T21:26:29.4471920Z     is_named_optimizer (bool): Is this optimizer a NamedOptimizer or
2025-06-01T21:26:29.4472230Z         KeyedOptimizer. Only set to True if ``optim`` is TorchRec's
2025-06-01T21:26:29.4472530Z         KeyedOptimizer or torch.distributed's NamedOptimizer.
2025-06-01T21:26:29.4472850Z     load_directly (bool): If this is set to True, this API will also
2025-06-01T21:26:29.4473160Z         call optim.load_state_dict(result) before returning the result.
2025-06-01T21:26:29.4473480Z         Otherwise, users are responsible to call ``optim.load_state_dict()``
2025-06-01T21:26:29.4473730Z         (Default: ``False``)
2025-06-01T21:26:29.4473980Z     group (dist.ProcessGroup): Model's process group across which parameters
2025-06-01T21:26:29.4474290Z         are sharded or ``None`` if using the default process group. (
2025-06-01T21:26:29.4474510Z         Default: ``None``)
2025-06-01T21:26:29.4474600Z 
2025-06-01T21:26:29.4474750Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.4474960Z 
2025-06-01T21:26:29.4475360Z msg = Cannot scrape callname=MixedPrecision in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=114.
2025-06-01T21:26:29.4475970Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.4476190Z 
2025-06-01T21:26:29.4476280Z This configures FSDP-native mixed precision training.
2025-06-01T21:26:29.4476440Z 
2025-06-01T21:26:29.4476490Z Attributes:
2025-06-01T21:26:29.4476750Z     param_dtype (Optional[torch.dtype]): This specifies the dtype for model
2025-06-01T21:26:29.4477080Z         parameters during forward and backward and thus the dtype for
2025-06-01T21:26:29.4477410Z         forward and backward computation. Outside forward and backward, the
2025-06-01T21:26:29.4477720Z         *sharded* parameters are kept in full precision (e.g. for the
2025-06-01T21:26:29.4478030Z         optimizer step), and for model checkpointing, the parameters are
2025-06-01T21:26:29.4478300Z         always saved in full precision. (Default: ``None``)
2025-06-01T21:26:29.4478600Z     reduce_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-06-01T21:26:29.4478920Z         gradient reduction (i.e. reduce-scatter or all-reduce). If this is
2025-06-01T21:26:29.4479220Z         ``None`` but ``param_dtype`` is not ``None``, then this takes on
2025-06-01T21:26:29.4479510Z         the ``param_dtype`` value, still running gradient reduction in low
2025-06-01T21:26:29.4479810Z         precision. This is permitted to differ from ``param_dtype``, e.g.
2025-06-01T21:26:29.4480110Z         to force gradient reduction to run in full precision. (Default:
2025-06-01T21:26:29.4480330Z         ``None``)
2025-06-01T21:26:29.4480530Z     buffer_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-06-01T21:26:29.4480870Z         buffers. FSDP does not shard buffers. Rather, FSDP casts them to
2025-06-01T21:26:29.4481160Z         ``buffer_dtype`` in the first forward pass and keeps them in that
2025-06-01T21:26:29.4481460Z         dtype thereafter. For model checkpointing, the buffers are saved
2025-06-01T21:26:29.4481750Z         in full precision except for ``LOCAL_STATE_DICT``. (Default:
2025-06-01T21:26:29.4481960Z         ``None``)
2025-06-01T21:26:29.4482180Z     keep_low_precision_grads (bool): If ``False``, then FSDP upcasts
2025-06-01T21:26:29.4482520Z         gradients to full precision after the backward pass in preparation
2025-06-01T21:26:29.4482870Z         for the optimizer step. If ``True``, then FSDP keeps the gradients
2025-06-01T21:26:29.4483190Z         in the dtype used for gradient reduction, which can save memory if
2025-06-01T21:26:29.4483500Z         using a custom optimizer that supports running in low precision.
2025-06-01T21:26:29.4483740Z         (Default: ``False``)
2025-06-01T21:26:29.4483970Z     cast_forward_inputs (bool): If ``True``, then this FSDP module casts
2025-06-01T21:26:29.4484280Z         its forward args and kwargs to ``param_dtype``. This is to ensure
2025-06-01T21:26:29.4484600Z         that parameter and input dtypes match for forward computation, as
2025-06-01T21:26:29.4484920Z         required by many ops. This may need to be set to ``True`` when only
2025-06-01T21:26:29.4485260Z         applying mixed precision to some but not all FSDP modules, in which
2025-06-01T21:26:29.4485590Z         case a mixed-precision FSDP submodule needs to recast its inputs.
2025-06-01T21:26:29.4485830Z         (Default: ``False``)
2025-06-01T21:26:29.4486080Z     cast_root_forward_inputs (bool): If ``True``, then the root FSDP module
2025-06-01T21:26:29.4486400Z         casts its forward args and kwargs to ``param_dtype``, overriding
2025-06-01T21:26:29.4486700Z         the value of ``cast_forward_inputs``. For non-root FSDP modules,
2025-06-01T21:26:29.4486960Z         this does not do anything. (Default: ``True``)
2025-06-01T21:26:29.4487240Z     _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies
2025-06-01T21:26:29.4487540Z         module classes to ignore for mixed precision when using an
2025-06-01T21:26:29.4487860Z         ``auto_wrap_policy``: Modules of these classes will have FSDP
2025-06-01T21:26:29.4488160Z         applied to them separately with mixed precision disabled (meaning
2025-06-01T21:26:29.4488480Z         that the final FSDP construction would deviate from the specified
2025-06-01T21:26:29.4488790Z         policy). If ``auto_wrap_policy`` is not specified, then this does
2025-06-01T21:26:29.4495210Z         not do anything. This API is experimental and subject to change.
2025-06-01T21:26:29.4495450Z         (Default: ``(_BatchNorm,)``)
2025-06-01T21:26:29.4495570Z 
2025-06-01T21:26:29.4495670Z .. note:: This API is experimental and subject to change.
2025-06-01T21:26:29.4495820Z 
2025-06-01T21:26:29.4495950Z .. note:: Only floating point tensors are cast to their specified dtypes.
2025-06-01T21:26:29.4496140Z 
2025-06-01T21:26:29.4496250Z .. note:: In ``summon_full_params``, parameters are forced to full
2025-06-01T21:26:29.4496470Z     precision, but buffers are not.
2025-06-01T21:26:29.4496590Z 
2025-06-01T21:26:29.4496710Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when
2025-06-01T21:26:29.4497010Z     their inputs are in a low precision like ``float16`` or ``bfloat16``.
2025-06-01T21:26:29.4497330Z     Disabling FSDP's mixed precision for those norm modules only means that
2025-06-01T21:26:29.4497650Z     the affine parameters are kept in ``float32``. However, this incurs
2025-06-01T21:26:29.4497960Z     separate all-gathers and reduce-scatters for those norm modules, which
2025-06-01T21:26:29.4498400Z     may be inefficient, so if the workload permits, the user should prefer
2025-06-01T21:26:29.4498690Z     to still apply mixed precision to those modules.
2025-06-01T21:26:29.4498960Z 
2025-06-01T21:26:29.4499090Z .. note:: By default, if the user passes a model with any ``_BatchNorm``
2025-06-01T21:26:29.4499400Z     modules and specifies an ``auto_wrap_policy``, then the batch norm
2025-06-01T21:26:29.4499730Z     modules will have FSDP applied to them separately with mixed precision
2025-06-01T21:26:29.4500030Z     disabled. See the ``_module_classes_to_ignore`` argument.
2025-06-01T21:26:29.4500200Z 
2025-06-01T21:26:29.4500330Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and
2025-06-01T21:26:29.4500650Z     ``cast_forward_inputs=False`` by default. For the root FSDP instance,
2025-06-01T21:26:29.4500970Z     its ``cast_root_forward_inputs`` takes precedence over its
2025-06-01T21:26:29.4501270Z     ``cast_forward_inputs``. For non-root FSDP instances, their
2025-06-01T21:26:29.4501580Z     ``cast_root_forward_inputs`` values are ignored. The default setting is
2025-06-01T21:26:29.4501910Z     sufficient for the typical case where each FSDP instance has the same
2025-06-01T21:26:29.4502230Z     ``MixedPrecision`` configuration and only needs to cast inputs to the
2025-06-01T21:26:29.4502540Z     ``param_dtype`` at the beginning of the model's forward pass.
2025-06-01T21:26:29.4502720Z 
2025-06-01T21:26:29.4502840Z .. note:: For nested FSDP instances with different ``MixedPrecision``
2025-06-01T21:26:29.4503170Z     configurations, we recommend setting individual ``cast_forward_inputs``
2025-06-01T21:26:29.4503530Z     values to configure casting inputs or not before each instance's
2025-06-01T21:26:29.4503830Z     forward. In such a case, since the casts happen before each FSDP
2025-06-01T21:26:29.4504140Z     instance's forward, a parent FSDP instance should have its non-FSDP
2025-06-01T21:26:29.4504470Z     submodules run before its FSDP submodules to avoid the activation dtype
2025-06-01T21:26:29.4504810Z     being changed due to a different ``MixedPrecision`` configuration.
2025-06-01T21:26:29.4504990Z 
2025-06-01T21:26:29.4505040Z     Example::
2025-06-01T21:26:29.4505110Z 
2025-06-01T21:26:29.4505190Z         >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:29.4505440Z         >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3))
2025-06-01T21:26:29.4505660Z         >>> model[1] = FSDP(
2025-06-01T21:26:29.4505710Z         >>>     model[1],
2025-06-01T21:26:29.4505880Z         >>>     mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True),
2025-06-01T21:26:29.4505930Z         >>> )
2025-06-01T21:26:29.4505970Z         >>> model = FSDP(
2025-06-01T21:26:29.4506020Z         >>>     model,
2025-06-01T21:26:29.4506200Z         >>>     mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True),
2025-06-01T21:26:29.4506240Z         >>> )
2025-06-01T21:26:29.4506240Z 
2025-06-01T21:26:29.4506370Z     The above shows a working example. On the other hand, if ``model[1]``
2025-06-01T21:26:29.4506490Z     were replaced with ``model[0]``, meaning that the submodule using
2025-06-01T21:26:29.4506630Z     different ``MixedPrecision`` ran its forward first, then ``model[1]``
2025-06-01T21:26:29.4506760Z     would incorrectly see ``float16`` activations instead of ``bfloat16``
2025-06-01T21:26:29.4506800Z     ones.
2025-06-01T21:26:29.4506800Z 
2025-06-01T21:26:29.4506800Z 
2025-06-01T21:26:29.4506950Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.5128660Z 
2025-06-01T21:26:29.5129340Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=295.
2025-06-01T21:26:29.5129530Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.5129530Z 
2025-06-01T21:26:29.5129660Z ``FullStateDictConfig`` is a config class meant to be used with
2025-06-01T21:26:29.5129780Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-06-01T21:26:29.5129910Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-06-01T21:26:29.5130210Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-06-01T21:26:29.5130330Z is meant to be used via the :func:`state_dict_type` context manager as
2025-06-01T21:26:29.5130420Z follows:
2025-06-01T21:26:29.5130420Z 
2025-06-01T21:26:29.5130500Z     >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:29.5130650Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-06-01T21:26:29.5130730Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-06-01T21:26:29.5130900Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-06-01T21:26:29.5131070Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-06-01T21:26:29.5131140Z     >>>     state = fsdp.state_dict()
2025-06-01T21:26:29.5131270Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-06-01T21:26:29.5131420Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-06-01T21:26:29.5131580Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-06-01T21:26:29.5131630Z     >>> if dist.get_rank() == 0:
2025-06-01T21:26:29.5131750Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-06-01T21:26:29.5131840Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-06-01T21:26:29.5131910Z     >>>     model.load_state_dict(state_dict)
2025-06-01T21:26:29.5132130Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-06-01T21:26:29.5132280Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-06-01T21:26:29.5132340Z     >>> fsdp = FSDP(
2025-06-01T21:26:29.5132380Z     ...     model,
2025-06-01T21:26:29.5132460Z     ...     device_id=torch.cuda.current_device(),
2025-06-01T21:26:29.5132530Z     ...     auto_wrap_policy=...,
2025-06-01T21:26:29.5132590Z     ...     sync_module_states=True,
2025-06-01T21:26:29.5132630Z     ... )
2025-06-01T21:26:29.5132770Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-06-01T21:26:29.5132770Z 
2025-06-01T21:26:29.5132810Z Attributes:
2025-06-01T21:26:29.5132940Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-06-01T21:26:29.5133070Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-06-01T21:26:29.5133170Z         ranks save the full state dict. (Default: ``False``)
2025-06-01T21:26:29.5133170Z 
2025-06-01T21:26:29.5133330Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.5133330Z 
2025-06-01T21:26:29.5133800Z msg = Cannot scrape callname=init_from_local_shards in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361.
2025-06-01T21:26:29.5133960Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.5133960Z 
2025-06-01T21:26:29.5134110Z Creates an :class:`ShardedTensor` from local shards and the global metadata.
2025-06-01T21:26:29.5134190Z Needs to be called on all ranks in an SPMD fashion.
2025-06-01T21:26:29.5134190Z 
2025-06-01T21:26:29.5134240Z Args:
2025-06-01T21:26:29.5134410Z     local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list
2025-06-01T21:26:29.5134510Z         of shards that represent the local shards on this rank.
2025-06-01T21:26:29.5134660Z     global_size (int...):  a list, tuple, or `torch.Size` of integers defining the
2025-06-01T21:26:29.5134730Z         shape of the overall sharded tensor.
2025-06-01T21:26:29.5134740Z 
2025-06-01T21:26:29.5134780Z Keyword args:
2025-06-01T21:26:29.5134940Z     process_group (ProcessGroup, optional): The process group to work on. If None,
2025-06-01T21:26:29.5135010Z         the default process group will be used.
2025-06-01T21:26:29.5135110Z     init_rrefs (bool, optional): Whether or not to initialize
2025-06-01T21:26:29.5135300Z         :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-06-01T21:26:29.5135410Z         Need to initialize the RPC Framework if specified as ``True``.
2025-06-01T21:26:29.5135470Z         Default: ``False``.
2025-06-01T21:26:29.5135470Z 
2025-06-01T21:26:29.5135510Z Returns:
2025-06-01T21:26:29.5135600Z     A :class:`ShardedTensor` object handle on this rank
2025-06-01T21:26:29.5135600Z 
2025-06-01T21:26:29.5135600Z 
2025-06-01T21:26:29.5135650Z Examples:
2025-06-01T21:26:29.5135800Z     Suppose we want construct a sharded tensor on two ranks, global size = (10, 5),
2025-06-01T21:26:29.5135980Z     each shard have a (5, 5) local tensor, we can do it like below:
2025-06-01T21:26:29.5136010Z 
2025-06-01T21:26:29.5136060Z     on rank 0:
2025-06-01T21:26:29.5136130Z     >>> # xdoctest: +SKIP("not distributed")
2025-06-01T21:26:29.5136200Z     >>> local_shard_metadata = ShardMetadata(
2025-06-01T21:26:29.5136260Z     >>>     shard_offsets=[0, 0],
2025-06-01T21:26:29.5136320Z     >>>     shard_lengths=[5, 5],
2025-06-01T21:26:29.5136370Z     >>>     placement="rank:0/cuda:0"
2025-06-01T21:26:29.5136420Z     >>> )
2025-06-01T21:26:29.5136530Z     >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-06-01T21:26:29.5136660Z     >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-06-01T21:26:29.5136660Z 
2025-06-01T21:26:29.5136700Z     on rank 1:
2025-06-01T21:26:29.5136770Z     >>> # xdoctest: +SKIP("not distributed")
2025-06-01T21:26:29.5136870Z     >>> local_shard_metadata = ShardMetadata(
2025-06-01T21:26:29.5136920Z     >>>     shard_offsets=[5, 0],
2025-06-01T21:26:29.5136980Z     >>>     shard_lengths=[5, 5],
2025-06-01T21:26:29.5137040Z     >>>     placement="rank:1/cuda:1"
2025-06-01T21:26:29.5137080Z     >>> )
2025-06-01T21:26:29.5137200Z     >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-06-01T21:26:29.5137320Z     >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-06-01T21:26:29.5137320Z 
2025-06-01T21:26:29.5137470Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.5137470Z 
2025-06-01T21:26:29.5137990Z msg = Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835.
2025-06-01T21:26:29.5138140Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.5138150Z 
2025-06-01T21:26:29.5138300Z Initialize a ShardedTensor given only one local tensor, global sharded tensor
2025-06-01T21:26:29.5138360Z size and sharding spec on each rank.
2025-06-01T21:26:29.5138370Z 
2025-06-01T21:26:29.5138410Z Args:
2025-06-01T21:26:29.5138550Z     local_tensor (Tensor): Single tensor of local shard stored in each rank.
2025-06-01T21:26:29.5138700Z     sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`):
2025-06-01T21:26:29.5138800Z         The specification describing how to shard the Tensor.
2025-06-01T21:26:29.5138910Z     global_size (Sequence[int]): Size of the sharded tensor.
2025-06-01T21:26:29.5139050Z     process_group (ProcessGroup, optional): The process group to aggregate on.
2025-06-01T21:26:29.5139100Z         Default: None
2025-06-01T21:26:29.5139210Z     init_rrefs (bool, optional): Whether or not to initialize
2025-06-01T21:26:29.5139330Z         :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-06-01T21:26:29.5139450Z         Need to initialize the RPC Framework if specified as ``True``.
2025-06-01T21:26:29.5139510Z         Default: ``False``.
2025-06-01T21:26:29.5139510Z 
2025-06-01T21:26:29.5139550Z Returns:
2025-06-01T21:26:29.5139700Z     A :class:`ShardedTensor` sharded based on the given sharding_spec with local
2025-06-01T21:26:29.5139760Z         tensor stored in the current rank.
2025-06-01T21:26:29.5139760Z 
2025-06-01T21:26:29.5139810Z Examples:
2025-06-01T21:26:29.5139860Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:29.5139970Z     >>> # All tensors below are of torch.int64 type.
2025-06-01T21:26:29.5140040Z     >>> # We have 2 process groups, 2 ranks.
2025-06-01T21:26:29.5140150Z     >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank
2025-06-01T21:26:29.5140270Z     >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2]))
2025-06-01T21:26:29.5140310Z     >>> local_tensor
2025-06-01T21:26:29.5140370Z     tensor([[1, 2, 3, 4]]) # Rank 0
2025-06-01T21:26:29.5140420Z     tensor([[3, 4, 5, 6]]) # Rank 1
2025-06-01T21:26:29.5140470Z     >>> sharding_dim = 0
2025-06-01T21:26:29.5140560Z     >>> sharding_spec = ChunkShardingSpec(
2025-06-01T21:26:29.5140640Z             dim=sharding_dim,
2025-06-01T21:26:29.5140690Z             placements=[
2025-06-01T21:26:29.5140740Z                 "rank:0/cuda:0",
2025-06-01T21:26:29.5140790Z                 "rank:1/cuda:1",
2025-06-01T21:26:29.5140830Z             ],
2025-06-01T21:26:29.5140870Z         )
2025-06-01T21:26:29.5140950Z     >>> st = ShardedTensor._init_from_local_tensor(
2025-06-01T21:26:29.5141020Z     ...     local_tensor, sharding_spec, [2, 4]
2025-06-01T21:26:29.5141060Z     ... )
2025-06-01T21:26:29.5141110Z     >>> st
2025-06-01T21:26:29.5141150Z     ShardedTensor(
2025-06-01T21:26:29.5141210Z         ShardedTensorMetadata(
2025-06-01T21:26:29.5141260Z             shards_metadata=[
2025-06-01T21:26:29.5141430Z                 ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0),
2025-06-01T21:26:29.5141610Z                 ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1),
2025-06-01T21:26:29.5141660Z             ],
2025-06-01T21:26:29.5141720Z             size=torch.Size([2, 4])
2025-06-01T21:26:29.5141760Z     )
2025-06-01T21:26:29.5141810Z     >>> st.local_tensor()
2025-06-01T21:26:29.5141860Z     tensor([1, 2, 3, 4]) # Rank 0
2025-06-01T21:26:29.5141910Z     tensor([3, 4, 5, 6]) # Rank 1
2025-06-01T21:26:29.5141910Z 
2025-06-01T21:26:29.5142070Z Warning: This API is experimental and subject to change. It lacks of a fully across
2025-06-01T21:26:29.5142230Z          rank validations, and we only validate the local shard on the current rank.
2025-06-01T21:26:29.5142350Z          We fully rely on the user to ensure local tensor is sharded based on the
2025-06-01T21:26:29.5142400Z          sharding spec.
2025-06-01T21:26:29.5142400Z 
2025-06-01T21:26:29.5142550Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.5142550Z 
2025-06-01T21:26:29.5143030Z msg = Cannot scrape callname=ShardedTensor.reshard in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076.
2025-06-01T21:26:29.5143180Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.5143180Z 
2025-06-01T21:26:29.5143330Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support
2025-06-01T21:26:29.5143380Z single local shard.
2025-06-01T21:26:29.5143380Z 
2025-06-01T21:26:29.5143510Z If ``resharding_spec`` is same as the original one, this becomes a no-op.
2025-06-01T21:26:29.5143650Z If only ``resharding_spec`` shares the same sharding dim with the original one,
2025-06-01T21:26:29.5143710Z we swap local shards directly.
2025-06-01T21:26:29.5143860Z For more generic cases, we merge different shards across different ranks and split
2025-06-01T21:26:29.5144000Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API.
2025-06-01T21:26:29.5144010Z 
2025-06-01T21:26:29.5144040Z Args:
2025-06-01T21:26:29.5144220Z     resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The
2025-06-01T21:26:29.5144310Z         specification describing how the tensor is sharded.
2025-06-01T21:26:29.5144310Z 
2025-06-01T21:26:29.5144360Z Returns:
2025-06-01T21:26:29.5144470Z     A :class:`ShardedTensor` object whose local shards are resharded.
2025-06-01T21:26:29.5144520Z 
2025-06-01T21:26:29.5144560Z Examples:
2025-06-01T21:26:29.5144610Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:29.5144680Z     >>> # We have 2 process groups, 2 ranks.
2025-06-01T21:26:29.5144780Z     >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank
2025-06-01T21:26:29.5144840Z     >>> tensor = torch.stack([tensor, tensor])
2025-06-01T21:26:29.5144880Z     >>> tensor
2025-06-01T21:26:29.5144950Z     tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0
2025-06-01T21:26:29.5145020Z     tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1
2025-06-01T21:26:29.5145080Z     tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2
2025-06-01T21:26:29.5145170Z     tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3
2025-06-01T21:26:29.5145230Z     >>> sharding_dim = 0
2025-06-01T21:26:29.5145300Z     >>> spec = ChunkShardingSpec(
2025-06-01T21:26:29.5145340Z             dim=sharding_dim,
2025-06-01T21:26:29.5145390Z             placements=[
2025-06-01T21:26:29.5145440Z                 "rank:0/cuda:0",
2025-06-01T21:26:29.5145490Z                 "rank:1/cuda:1",
2025-06-01T21:26:29.5145540Z                 "rank:2/cuda:2",
2025-06-01T21:26:29.5145590Z                 "rank:3/cuda:3",
2025-06-01T21:26:29.5145620Z             ],
2025-06-01T21:26:29.5145660Z         )
2025-06-01T21:26:29.5145720Z     >>> current_offsets = [0] * 2
2025-06-01T21:26:29.5145770Z     >>> current_offsets[0] = rank * 2
2025-06-01T21:26:29.5145830Z     >>> shard_metadata = ShardMetadata(
2025-06-01T21:26:29.5145940Z             shard_offsets=copy.deepcopy(current_offsets),
2025-06-01T21:26:29.5146010Z             shard_sizes=tensor.size(),
2025-06-01T21:26:29.5146080Z             placement=spec.placements[rank],
2025-06-01T21:26:29.5146120Z         )
2025-06-01T21:26:29.5146170Z     >>> local_shards = [
2025-06-01T21:26:29.5146210Z             Shard(
2025-06-01T21:26:29.5146260Z                 tensor=tensor,
2025-06-01T21:26:29.5146320Z                 metadata=shard_metadata,
2025-06-01T21:26:29.5146360Z             )
2025-06-01T21:26:29.5146390Z         ]
2025-06-01T21:26:29.5146530Z     >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size())
2025-06-01T21:26:29.5146570Z     >>> sharding_dim = 1
2025-06-01T21:26:29.5146650Z     >>> resharding_spec = ChunkShardingSpec(
2025-06-01T21:26:29.5146700Z             dim=sharding_dim,
2025-06-01T21:26:29.5146740Z             placements=[
2025-06-01T21:26:29.5146790Z                 "rank:0/cuda:0",
2025-06-01T21:26:29.5146840Z                 "rank:1/cuda:1",
2025-06-01T21:26:29.5146890Z                 "rank:2/cuda:2",
2025-06-01T21:26:29.5146930Z                 "rank:3/cuda:3",
2025-06-01T21:26:29.5146970Z             ],
2025-06-01T21:26:29.5147010Z         )
2025-06-01T21:26:29.5147070Z     >>> st.reshard(resharding_spec)
2025-06-01T21:26:29.5147130Z     >>> tensor = st.local_shards()[0].tensor
2025-06-01T21:26:29.5147170Z     >>> tensor
2025-06-01T21:26:29.5147250Z     tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0
2025-06-01T21:26:29.5147340Z     tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1
2025-06-01T21:26:29.5147420Z     tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2
2025-06-01T21:26:29.5147500Z     tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3
2025-06-01T21:26:29.5147500Z 
2025-06-01T21:26:29.5147650Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.5218740Z 
2025-06-01T21:26:29.5219350Z msg = Cannot scrape callname=ShardingPlan in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12.
2025-06-01T21:26:29.5219550Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.5219550Z 
2025-06-01T21:26:29.5219690Z Representation of a sharding plan, describes how to shard a module
2025-06-01T21:26:29.5219860Z across hosts. `plan` is used to shard module parameters according to the spec provided,
2025-06-01T21:26:29.5220030Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output
2025-06-01T21:26:29.5220300Z layout of a module with a spec, and when to convert back to data parallel fashion.
2025-06-01T21:26:29.5220310Z 
2025-06-01T21:26:29.5220350Z Args:
2025-06-01T21:26:29.5220510Z     plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`,
2025-06-01T21:26:29.5220620Z           :class:`torch.distributed._shard.sharder.Sharder`]):
2025-06-01T21:26:29.5220790Z         a dict describes how to shard a module, there're currently two ways to shard a module:
2025-06-01T21:26:29.5220990Z             1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of
2025-06-01T21:26:29.5221080Z                a parameter to a `ShardingSpec`.
2025-06-01T21:26:29.5221240Z             2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module
2025-06-01T21:26:29.5221290Z                to a `Sharder` object.
2025-06-01T21:26:29.5221490Z     output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional):
2025-06-01T21:26:29.5221630Z         a dict specifies the layout of a module's output which produces a ShardedTensor,
2025-06-01T21:26:29.5221770Z         keyed by the name of module to ShardingSpec("" in key means the root module).
2025-06-01T21:26:29.5221820Z         Default: `None`
2025-06-01T21:26:29.5221970Z     return_local_tensor (List[str], optional): a list of string, each element enables
2025-06-01T21:26:29.5222180Z         a module's sharded output to be returned as a Tensor from its local shards to
2025-06-01T21:26:29.5222330Z         ensure further processing in a data parallel fashion. ("" in list means the
2025-06-01T21:26:29.5222380Z         root module).
2025-06-01T21:26:29.5222430Z         Default: None
2025-06-01T21:26:29.5222470Z Example:
2025-06-01T21:26:29.5222630Z   Suppose we want to shard a module with two linear layers and then run it with DDP, we also
2025-06-01T21:26:29.5222790Z   want to convert the output of the second linear layer back to DDP, we can do it as follows:
2025-06-01T21:26:29.5222790Z 
2025-06-01T21:26:29.5222900Z     >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d)
2025-06-01T21:26:29.5222960Z     >>> class MyModule(nn.Module):
2025-06-01T21:26:29.5223020Z     >>>     def __init__(self) -> None:
2025-06-01T21:26:29.5223070Z     >>>        super().__init__()
2025-06-01T21:26:29.5223120Z     >>>        self.fc1 = nn.Linear()
2025-06-01T21:26:29.5223170Z     >>>        self.gelu = nn.GELU()
2025-06-01T21:26:29.5223230Z     >>>        self.fc2 = nn.Linear()
2025-06-01T21:26:29.5223280Z     >>>        self.relu = nn.Linear()
2025-06-01T21:26:29.5223320Z     >>>
2025-06-01T21:26:29.5223380Z     >>>     def forward(self, input):
2025-06-01T21:26:29.5223480Z     >>>         return self.relu(self.fc2(self.gelu(self.fc1(input))))
2025-06-01T21:26:29.5223480Z 
2025-06-01T21:26:29.5223480Z 
2025-06-01T21:26:29.5223550Z     >>> # xdoctest: +SKIP("Undefined spec1, spec2)
2025-06-01T21:26:29.5223610Z     >>> sharding_plan = ShardingPlan(
2025-06-01T21:26:29.5223650Z     >>>    plan={
2025-06-01T21:26:29.5223710Z     >>>        "fc1.weight": spec1,
2025-06-01T21:26:29.5223760Z     >>>        "fc2.weight": spec2
2025-06-01T21:26:29.5223800Z     >>>    },
2025-06-01T21:26:29.5223840Z     >>>    output_plan={
2025-06-01T21:26:29.5223890Z     >>>        "fc2": output_spec
2025-06-01T21:26:29.5223930Z     >>>    },
2025-06-01T21:26:29.5223990Z     >>>    return_local_tensor=["fc2"]
2025-06-01T21:26:29.5224030Z     >>> )
2025-06-01T21:26:29.5224030Z 
2025-06-01T21:26:29.5224170Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.5224180Z 
2025-06-01T21:26:29.5224680Z msg = Cannot scrape callname=register_sharding in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=26.
2025-06-01T21:26:29.5224820Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.5224860Z 
2025-06-01T21:26:29.5225020Z :meth:`register_sharding` is an experimental API that allows users to register sharding
2025-06-01T21:26:29.5225160Z strategies for an operator when the tensor inputs and outputs are DTensor.
2025-06-01T21:26:29.5225310Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``,
2025-06-01T21:26:29.5225450Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2)
2025-06-01T21:26:29.5225600Z when users would like to overwrite default sharding strategies of existing operators.
2025-06-01T21:26:29.5225610Z 
2025-06-01T21:26:29.5225670Z Args:
2025-06-01T21:26:29.5225780Z     op (Union[OpOverload, List[OpOverload]]):
2025-06-01T21:26:29.5225890Z         An op or a list of ops to register the customized sharding function.
2025-06-01T21:26:29.5225890Z 
2025-06-01T21:26:29.5225930Z Returns:
2025-06-01T21:26:29.5226080Z     A function decorator which can be used to wrap a function that defines the sharding
2025-06-01T21:26:29.5226240Z     strategy for the operator specified in ``op``. The defined sharding strategy will be
2025-06-01T21:26:29.5226390Z     registered to DTensor and will override the default sharding strategy if DTensor has
2025-06-01T21:26:29.5226570Z     already implemented the operator. The customized sharding function takes the same inputs
2025-06-01T21:26:29.5226700Z     as the original op (except that if an arg is a :class:`torch.Tensor`, it will be
2025-06-01T21:26:29.5226890Z     replaced by a tensor-like object that DTensor uses internally). The function should
2025-06-01T21:26:29.5227050Z     return a sequence of 2-tuples, each specifying acceptable output placements and its
2025-06-01T21:26:29.5227120Z     corresponding intput placements.
2025-06-01T21:26:29.5227120Z 
2025-06-01T21:26:29.5227160Z Example:
2025-06-01T21:26:29.5227220Z     >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:29.5227300Z     >>> @register_sharding(aten._softmax.default)
2025-06-01T21:26:29.5227390Z     >>> def custom_softmax_sharding(x, dim, half_to_float):
2025-06-01T21:26:29.5227470Z     >>>     softmax_dim = dim if dim >= 0 else dim + x.ndim
2025-06-01T21:26:29.5227530Z     >>>     acceptable_shardings = []
2025-06-01T21:26:29.5227570Z     >>>
2025-06-01T21:26:29.5227740Z     >>>     all_replicate = ([Replicate()], [Replicate(), None, None])
2025-06-01T21:26:29.5227830Z     >>>     acceptable_shardings.append(all_replicate)
2025-06-01T21:26:29.5227870Z     >>>
2025-06-01T21:26:29.5227940Z     >>>     for sharding_dim in range(x.ndim):
2025-06-01T21:26:29.5228010Z     >>>         if sharding_dim != softmax_dim:
2025-06-01T21:26:29.5228070Z     >>>             all_sharded = (
2025-06-01T21:26:29.5228140Z     >>>                 [Shard(sharding_dim)],
2025-06-01T21:26:29.5228220Z     >>>                 [Shard(sharding_dim), None, None],
2025-06-01T21:26:29.5228260Z     >>>             )
2025-06-01T21:26:29.5228350Z     >>>             acceptable_shardings.append(all_sharded)
2025-06-01T21:26:29.5228400Z     >>>
2025-06-01T21:26:29.5228460Z     >>>     return acceptable_shardings
2025-06-01T21:26:29.5228460Z 
2025-06-01T21:26:29.5228580Z .. note:: This API is currently experimental and subject to change
2025-06-01T21:26:29.5228580Z 
2025-06-01T21:26:29.5228730Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.5228740Z 
2025-06-01T21:26:29.5229190Z msg = Cannot scrape callname=local_map in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_func_map.py line=34.
2025-06-01T21:26:29.5229350Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.5229350Z 
2025-06-01T21:26:29.5229510Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s
2025-06-01T21:26:29.5229680Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting
2025-06-01T21:26:29.5229830Z the local components of :class:`DTensor`, call the function, and wrap the outputs to
2025-06-01T21:26:29.5229960Z :class:`DTensor` according to the ``out_placements``.
2025-06-01T21:26:29.5229960Z 
2025-06-01T21:26:29.5230000Z Args:
2025-06-01T21:26:29.5230130Z     func (Callable): the function to be applied on each local shard of
2025-06-01T21:26:29.5230180Z         :class:`DTensor` s.
2025-06-01T21:26:29.5230310Z     out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]):
2025-06-01T21:26:29.5230470Z         the desired placements of the :class:`DTensor` s in ``func``'s flattened output.
2025-06-01T21:26:29.5230630Z         If the flattened ``output`` is a single value, the ``out_placements`` should be
2025-06-01T21:26:29.5230800Z         of type `PlacementType`. Otherwise if the flattened ``output`` has multiple
2025-06-01T21:26:29.5230940Z         values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1
2025-06-01T21:26:29.5231010Z         mapping to the flattened ``output``.
2025-06-01T21:26:29.5231140Z         Besides, for :class:`Tensor` output, we use `PlacementType` as its
2025-06-01T21:26:29.5231300Z         placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType`
2025-06-01T21:26:29.5231350Z         should be `None`.
2025-06-01T21:26:29.5231490Z         Note that the only exception is when no :class:`DTensor` argument is passed
2025-06-01T21:26:29.5231620Z         in. In this case, even if `out_placements` is not `None`, the result function
2025-06-01T21:26:29.5231810Z         should ignore the desired placements because the function is not running with
2025-06-01T21:26:29.5231870Z         :class:`DTensor` s.
2025-06-01T21:26:29.5231970Z     in_placements (Tuple[`PlacementType`, ...], optional):
2025-06-01T21:26:29.5232140Z         the required placements of the :class:`DTensor` s in the flattened inputs of ``func``.
2025-06-01T21:26:29.5232290Z         If ``in_placements`` is specified, :meth:`local_map` would examine whether the
2025-06-01T21:26:29.5232430Z         placements of each :class:`DTensor` argument is the same as the required
2025-06-01T21:26:29.5232540Z         placements or not. If the placements are not the same and
2025-06-01T21:26:29.5232690Z         ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if
2025-06-01T21:26:29.5232830Z         ``redistribute_inputs`` is ``True``, the argument will be first redistributed to
2025-06-01T21:26:29.5232980Z         the required sharding placements before passing its local tensor to ``func``.
2025-06-01T21:26:29.5233120Z         The only exception is when required placements are not ``None`` and the
2025-06-01T21:26:29.5233270Z         argument is a :class:`torch.Tensor`. In this case, the placements examination
2025-06-01T21:26:29.5233390Z         will be skipped and the argument will be directly passed to ``func``.
2025-06-01T21:26:29.5233530Z         If ``in_placements`` is ``None``, no placements examination will be performed.
2025-06-01T21:26:29.5233570Z         Default: None
2025-06-01T21:26:29.5233650Z     device_mesh (:class:`DeviceMesh`, optional):
2025-06-01T21:26:29.5233780Z         the device mesh that all the :class:`DTensor` s are placed on. If not
2025-06-01T21:26:29.5233920Z         specified, this will be inferred from the input :class:`DTensor` s' device
2025-06-01T21:26:29.5234060Z         mesh. `local_map` requires every :class:`DTensor` s to be placed on the same
2025-06-01T21:26:29.5234120Z         device mesh. Default: None.
2025-06-01T21:26:29.5234180Z     redistribute_inputs (bool, optional):
2025-06-01T21:26:29.5234330Z         the bool value indicating whether to reshard the input :class:`DTensor` s when
2025-06-01T21:26:29.5234480Z         their placements are different from the required input placements. If this
2025-06-01T21:26:29.5234610Z         value is ``False`` and some :class:`DTensor` input has a different placement,
2025-06-01T21:26:29.5234690Z         an exception will be raised. Default: False.
2025-06-01T21:26:29.5234700Z 
2025-06-01T21:26:29.5234810Z Returns:
2025-06-01T21:26:29.5234960Z     A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor`
2025-06-01T21:26:29.5235100Z     and returns a :class:`DTensor` constructed from the return value of ``func``.
2025-06-01T21:26:29.5235100Z 
2025-06-01T21:26:29.5235140Z Raises:
2025-06-01T21:26:29.5235290Z     AssertionError: If the input :class:`DTensor` is not placed on the same device
2025-06-01T21:26:29.5235430Z         mesh, or if they are placed on a different device mesh than the ``device_mesh``
2025-06-01T21:26:29.5235480Z         argument passed in.
2025-06-01T21:26:29.5235490Z 
2025-06-01T21:26:29.5235650Z     AssertionError: For any non-DTensor output, we require its corresponding
2025-06-01T21:26:29.5235820Z         output placement in ``out_placements`` be None. An AssertionError will be raised
2025-06-01T21:26:29.5235890Z         if this is not the case.
2025-06-01T21:26:29.5235890Z 
2025-06-01T21:26:29.5236040Z     ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs
2025-06-01T21:26:29.5236130Z         a redistribution according to ``in_placements``.
2025-06-01T21:26:29.5236130Z 
2025-06-01T21:26:29.5236170Z Example:
2025-06-01T21:26:29.5236230Z     >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:29.5236310Z     >>> def mm_allreduce_forward(device_mesh, W, X):
2025-06-01T21:26:29.5236380Z     >>>     partial_sum_tensor = torch.mm(W, X)
2025-06-01T21:26:29.5236550Z     >>>     reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh)
2025-06-01T21:26:29.5236600Z     >>>     return reduced_tensor
2025-06-01T21:26:29.5236640Z     >>>
2025-06-01T21:26:29.5236720Z     >>> W = torch.randn(12, 8, requires_grad=False)
2025-06-01T21:26:29.5236790Z     >>> X = torch.randn(8, 16, requires_grad=False)
2025-06-01T21:26:29.5236840Z     >>> Y = torch.mm(W, X)
2025-06-01T21:26:29.5236950Z     >>> row_wise = [Shard(0)]  # row-wise sharding placements on 1-d mesh
2025-06-01T21:26:29.5237060Z     >>> col_wise = [Shard(1)]  # col-wise sharding placements on 1-d mesh
2025-06-01T21:26:29.5237090Z     >>>
2025-06-01T21:26:29.5237260Z     >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor convertion
2025-06-01T21:26:29.5237320Z     >>> local_mm_allreduce_forward = local_map(
2025-06-01T21:26:29.5237380Z     >>>     mm_allreduce_forward,
2025-06-01T21:26:29.5237440Z     >>>     out_placements=[Replicate()],
2025-06-01T21:26:29.5237500Z     >>>     in_placements=[col_wise, row_wise],
2025-06-01T21:26:29.5237560Z     >>>     device_mesh=device_mesh,
2025-06-01T21:26:29.5237600Z     >>> )
2025-06-01T21:26:29.5237640Z     >>>
2025-06-01T21:26:29.5237690Z     >>> W_dt = distribute_tensor(
2025-06-01T21:26:29.5237750Z     ...     W, device_mesh, (col_wise)
2025-06-01T21:26:29.5237810Z     ... )  # col-wisely sharded W tensor
2025-06-01T21:26:29.5237860Z     >>> X_dt = distribute_tensor(
2025-06-01T21:26:29.5237910Z     ...     X, device_mesh, (row_wise)
2025-06-01T21:26:29.5237970Z     ... )  # row-wisely sharded X tensor
2025-06-01T21:26:29.5238030Z     >>> Y_dt = local_mm_allreduce_forward(
2025-06-01T21:26:29.5238080Z     ...     device_mesh, W_dt, X_dt
2025-06-01T21:26:29.5238170Z     ... )  # apply local_mm_allreduce_forward to DTensors
2025-06-01T21:26:29.5238170Z 
2025-06-01T21:26:29.5238280Z .. note:: This API is currently experimental and subject to change
2025-06-01T21:26:29.5238290Z 
2025-06-01T21:26:29.5238430Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.5694890Z 
2025-06-01T21:26:29.5695520Z msg = Cannot scrape callname=PrepareModuleInput in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=428.
2025-06-01T21:26:29.5695710Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.5695710Z 
2025-06-01T21:26:29.5695950Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to
2025-06-01T21:26:29.5696240Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``.
2025-06-01T21:26:29.5696240Z 
2025-06-01T21:26:29.5696290Z Keyword Args:
2025-06-01T21:26:29.5696410Z     input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-06-01T21:26:29.5696610Z         The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-06-01T21:26:29.5696840Z         DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-06-01T21:26:29.5696960Z         as a placeholder. default: None.
2025-06-01T21:26:29.5697120Z     desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-06-01T21:26:29.5697350Z         The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-06-01T21:26:29.5697600Z         have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-06-01T21:26:29.5697680Z     input_kwarg_layouts (Dict[str, Placement]):
2025-06-01T21:26:29.5697910Z         The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-06-01T21:26:29.5697960Z         default: None
2025-06-01T21:26:29.5698060Z     desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-06-01T21:26:29.5698340Z         The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-06-01T21:26:29.5698440Z         have the desired DTensor layouts. default: None.
2025-06-01T21:26:29.5698510Z     use_local_output (bool, optional):
2025-06-01T21:26:29.5698730Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-06-01T21:26:29.5698780Z Returns:
2025-06-01T21:26:29.5698970Z     A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs.
2025-06-01T21:26:29.5698980Z 
2025-06-01T21:26:29.5699030Z Example::
2025-06-01T21:26:29.5699090Z     >>> # xdoctest: +SKIP(failing)
2025-06-01T21:26:29.5699280Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput
2025-06-01T21:26:29.5699400Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-06-01T21:26:29.5699440Z     >>> ...
2025-06-01T21:26:29.5699630Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-06-01T21:26:29.5699710Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-06-01T21:26:29.5699750Z     >>>
2025-06-01T21:26:29.5699960Z     >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor
2025-06-01T21:26:29.5700050Z     >>> # and then redistributed to Replicated DTensor.
2025-06-01T21:26:29.5700110Z     >>> parallelize_module(
2025-06-01T21:26:29.5700190Z     >>>     block, # this can be a submodule or module
2025-06-01T21:26:29.5700230Z     >>>     tp_mesh,
2025-06-01T21:26:29.5700290Z     >>>     parallelize_plan={
2025-06-01T21:26:29.5700360Z     >>>         "attn": PrepareModuleInput(
2025-06-01T21:26:29.5700450Z     >>>             input_layouts=(Shard(0), None, None, ...),
2025-06-01T21:26:29.5700550Z     >>>             desired_input_layouts=(Replicate(), None, None, ...)
2025-06-01T21:26:29.5700600Z     >>>         ),
2025-06-01T21:26:29.5700640Z     >>>     }
2025-06-01T21:26:29.5700680Z     >>> )
2025-06-01T21:26:29.5700680Z 
2025-06-01T21:26:29.5700830Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.5700840Z 
2025-06-01T21:26:29.5701330Z msg = Cannot scrape callname=PrepareModuleOutput in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=597.
2025-06-01T21:26:29.5701490Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.5701530Z 
2025-06-01T21:26:29.5701770Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to
2025-06-01T21:26:29.5701980Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``.
2025-06-01T21:26:29.5701980Z 
2025-06-01T21:26:29.5702030Z Keyword Args:
2025-06-01T21:26:29.5702130Z     output_layouts (Union[Placement, Tuple[Placement]]):
2025-06-01T21:26:29.5706430Z         The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-06-01T21:26:29.5706870Z         DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-06-01T21:26:29.5707030Z         ``None`` need to be specified as a placeholder.
2025-06-01T21:26:29.5707150Z     desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-06-01T21:26:29.5707380Z         The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-06-01T21:26:29.5707450Z         have the desired DTensor layouts.
2025-06-01T21:26:29.5707510Z     use_local_output (bool, optional):
2025-06-01T21:26:29.5707730Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-06-01T21:26:29.5707770Z Returns:
2025-06-01T21:26:29.5707940Z     A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs.
2025-06-01T21:26:29.5707940Z 
2025-06-01T21:26:29.5708020Z Example::
2025-06-01T21:26:29.5708080Z     >>> # xdoctest: +SKIP(failing)
2025-06-01T21:26:29.5708270Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput
2025-06-01T21:26:29.5708390Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-06-01T21:26:29.5708430Z     >>> ...
2025-06-01T21:26:29.5708620Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-06-01T21:26:29.5708690Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-06-01T21:26:29.5708730Z     >>>
2025-06-01T21:26:29.5708970Z     >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor
2025-06-01T21:26:29.5709050Z     >>> # and then redistributed to Sharded DTensor.
2025-06-01T21:26:29.5709100Z     >>> parallelize_module(
2025-06-01T21:26:29.5709180Z     >>>     block, # this can be a submodule or module
2025-06-01T21:26:29.5709220Z     >>>     tp_mesh,
2025-06-01T21:26:29.5709310Z     >>>     parallelize_plan = PrepareModuleOutput(
2025-06-01T21:26:29.5709370Z     >>>         output_layouts=Replicate(),
2025-06-01T21:26:29.5709440Z     >>>         desired_output_layouts=Shard(0)
2025-06-01T21:26:29.5709480Z     >>>     )
2025-06-01T21:26:29.5709520Z     >>> )
2025-06-01T21:26:29.5709530Z 
2025-06-01T21:26:29.5709680Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.5709680Z 
2025-06-01T21:26:29.5710170Z msg = Cannot scrape callname=PrepareModuleInputOutput in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=705.
2025-06-01T21:26:29.5710320Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.5710320Z 
2025-06-01T21:26:29.5710580Z Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module
2025-06-01T21:26:29.5710830Z to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution
2025-06-01T21:26:29.5711060Z according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of
2025-06-01T21:26:29.5711180Z :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`.
2025-06-01T21:26:29.5711180Z 
2025-06-01T21:26:29.5711230Z Keyword Args:
2025-06-01T21:26:29.5711390Z     input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-06-01T21:26:29.5711580Z         The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-06-01T21:26:29.5711790Z         DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-06-01T21:26:29.5711860Z         as a placeholder. default: None.
2025-06-01T21:26:29.5711990Z     desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-06-01T21:26:29.5712240Z         The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-06-01T21:26:29.5712490Z         have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-06-01T21:26:29.5712570Z     input_kwarg_layouts (Dict[str, Placement]):
2025-06-01T21:26:29.5712780Z         The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-06-01T21:26:29.5712830Z         default: None
2025-06-01T21:26:29.5712930Z     desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-06-01T21:26:29.5713140Z         The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-06-01T21:26:29.5713230Z         have the desired DTensor layouts. default: None.
2025-06-01T21:26:29.5713290Z     use_local_input (bool, optional):
2025-06-01T21:26:29.5713550Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-06-01T21:26:29.5713650Z     output_layouts (Union[Placement, Tuple[Placement]]):
2025-06-01T21:26:29.5713850Z         The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-06-01T21:26:29.5714070Z         DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-06-01T21:26:29.5714160Z         ``None`` need to be specified as a placeholder.
2025-06-01T21:26:29.5714280Z     desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-06-01T21:26:29.5714510Z         The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-06-01T21:26:29.5714570Z         have the desired DTensor layouts.
2025-06-01T21:26:29.5714630Z     use_local_output (bool, optional):
2025-06-01T21:26:29.5714840Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-06-01T21:26:29.5714890Z Returns:
2025-06-01T21:26:29.5715160Z     A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs.
2025-06-01T21:26:29.5715160Z 
2025-06-01T21:26:29.5715200Z Example::
2025-06-01T21:26:29.5715260Z     >>> # xdoctest: +SKIP(failing)
2025-06-01T21:26:29.5715460Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput
2025-06-01T21:26:29.5715580Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-06-01T21:26:29.5715630Z     >>> ...
2025-06-01T21:26:29.5715800Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-06-01T21:26:29.5715880Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-06-01T21:26:29.5715920Z     >>>
2025-06-01T21:26:29.5716110Z     >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor
2025-06-01T21:26:29.5716330Z     >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated
2025-06-01T21:26:29.5716460Z     >>> # as Replicated DTensor and then redistributed to Sharded DTensor.
2025-06-01T21:26:29.5716510Z     >>> parallelize_module(
2025-06-01T21:26:29.5716590Z     >>>     block, # this can be a submodule or module
2025-06-01T21:26:29.5716630Z     >>>     tp_mesh,
2025-06-01T21:26:29.5716680Z     >>>     parallelize_plan={
2025-06-01T21:26:29.5716810Z     >>>         "attn": PrepareModuleInputOutput(
2025-06-01T21:26:29.5716900Z     >>>             input_layouts=(Shard(0), None, None, ...),
2025-06-01T21:26:29.5717000Z     >>>             desired_input_layouts=(Replicate(), None, None, ...),
2025-06-01T21:26:29.5717070Z     >>>             output_layouts=Replicate(),
2025-06-01T21:26:29.5717150Z     >>>             desired_output_layouts=Shard(0),
2025-06-01T21:26:29.5717190Z     >>>         ),
2025-06-01T21:26:29.5717230Z     >>>     }
2025-06-01T21:26:29.5717270Z     >>> )
2025-06-01T21:26:29.5717270Z 
2025-06-01T21:26:29.5717440Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.7933850Z 
2025-06-01T21:26:29.7934470Z msg = Cannot scrape callname=async_execution in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=6.
2025-06-01T21:26:29.7934650Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.7934670Z 
2025-06-01T21:26:29.7934820Z A decorator for a function indicating that the return value of the function
2025-06-01T21:26:29.7934950Z is guaranteed to be a :class:`~torch.futures.Future` object and this
2025-06-01T21:26:29.7935130Z function can run asynchronously on the RPC callee. More specifically, the
2025-06-01T21:26:29.7935290Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped
2025-06-01T21:26:29.7935590Z function and installs subsequent processing steps as a callback to that
2025-06-01T21:26:29.7935750Z :class:`~torch.futures.Future`. The installed callback will read the value
2025-06-01T21:26:29.7935880Z from the :class:`~torch.futures.Future` when completed and send the
2025-06-01T21:26:29.7935990Z value back as the RPC response. That also means the returned
2025-06-01T21:26:29.7936130Z :class:`~torch.futures.Future` only exists on the callee side and is never
2025-06-01T21:26:29.7936270Z sent through RPC. This decorator is useful when the wrapped function's
2025-06-01T21:26:29.7936400Z (``fn``) execution needs to pause and resume due to, e.g., containing
2025-06-01T21:26:29.7936540Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals.
2025-06-01T21:26:29.7936550Z 
2025-06-01T21:26:29.7936690Z .. note:: To enable asynchronous execution, applications must pass the
2025-06-01T21:26:29.7936830Z     function object returned by this decorator to RPC APIs. If RPC detected
2025-06-01T21:26:29.7936970Z     attributes installed by this decorator, it knows that this function
2025-06-01T21:26:29.7937090Z     returns a ``Future`` object and will handle that accordingly.
2025-06-01T21:26:29.7937230Z     However, this does not mean this decorator has to be outmost one when
2025-06-01T21:26:29.7937370Z     defining a function. For example, when combined with ``@staticmethod``
2025-06-01T21:26:29.7937500Z     or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the
2025-06-01T21:26:29.7937640Z     inner decorator to allow the target function be recognized as a static
2025-06-01T21:26:29.7937790Z     or class function. This target function can still execute asynchronously
2025-06-01T21:26:29.7937930Z     because, when accessed, the static or class method preserves attributes
2025-06-01T21:26:29.7938020Z     installed by ``@rpc.functions.async_execution``.
2025-06-01T21:26:29.7938020Z 
2025-06-01T21:26:29.7938030Z 
2025-06-01T21:26:29.7938070Z Example::
2025-06-01T21:26:29.7938200Z     The returned :class:`~torch.futures.Future` object can come from
2025-06-01T21:26:29.7938280Z     :meth:`~torch.distributed.rpc.rpc_async`,
2025-06-01T21:26:29.7938420Z     :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future`
2025-06-01T21:26:29.7938530Z     constructor. The example below shows directly using the
2025-06-01T21:26:29.7938610Z     :class:`~torch.futures.Future` returned by
2025-06-01T21:26:29.7938680Z     :meth:`~torch.futures.Future.then`.
2025-06-01T21:26:29.7938680Z 
2025-06-01T21:26:29.7938880Z     >>> from torch.distributed import rpc
2025-06-01T21:26:29.7938940Z     >>>
2025-06-01T21:26:29.7939000Z     >>> # omitting setup and shutdown RPC
2025-06-01T21:26:29.7939040Z     >>>
2025-06-01T21:26:29.7939090Z     >>> # On all workers
2025-06-01T21:26:29.7939150Z     >>> @rpc.functions.async_execution
2025-06-01T21:26:29.7939210Z     >>> def async_add_chained(to, x, y, z):
2025-06-01T21:26:29.7939320Z     >>>     # This function runs on "worker1" and returns immediately when
2025-06-01T21:26:29.7939430Z     >>>     # the callback is installed through the `then(cb)` API. In the
2025-06-01T21:26:29.7939590Z     >>>     # mean time, the `rpc_async` to "worker2" can run concurrently.
2025-06-01T21:26:29.7939710Z     >>>     # When the return value of that `rpc_async` arrives at
2025-06-01T21:26:29.7939820Z     >>>     # "worker1", "worker1" will run the lambda function accordingly
2025-06-01T21:26:29.7939930Z     >>>     # and set the value for the previously returned `Future`, which
2025-06-01T21:26:29.7940040Z     >>>     # will then trigger RPC to send the result back to "worker0".
2025-06-01T21:26:29.7940140Z     >>>     return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-06-01T21:26:29.7940200Z     >>>         lambda fut: fut.wait() + z
2025-06-01T21:26:29.7940250Z     >>>     )
2025-06-01T21:26:29.7940280Z     >>>
2025-06-01T21:26:29.7940330Z     >>> # On worker0
2025-06-01T21:26:29.7940380Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:29.7940420Z     >>> ret = rpc.rpc_sync(
2025-06-01T21:26:29.7940530Z     >>>     "worker1",
2025-06-01T21:26:29.7940580Z     >>>     async_add_chained,
2025-06-01T21:26:29.7940650Z     >>>     args=("worker2", torch.ones(2), 1, 1)
2025-06-01T21:26:29.7940690Z     >>> )
2025-06-01T21:26:29.7940760Z     >>> print(ret)  # prints tensor([3., 3.])
2025-06-01T21:26:29.7940760Z 
2025-06-01T21:26:29.7940890Z     When combined with TorchScript decorators, this decorator must be the
2025-06-01T21:26:29.7940940Z     outmost one.
2025-06-01T21:26:29.7940940Z 
2025-06-01T21:26:29.7941000Z     >>> from torch import Tensor
2025-06-01T21:26:29.7941060Z     >>> from torch.futures import Future
2025-06-01T21:26:29.7941120Z     >>> from torch.distributed import rpc
2025-06-01T21:26:29.7941160Z     >>>
2025-06-01T21:26:29.7941220Z     >>> # omitting setup and shutdown RPC
2025-06-01T21:26:29.7941260Z     >>>
2025-06-01T21:26:29.7941300Z     >>> # On all workers
2025-06-01T21:26:29.7941350Z     >>> @torch.jit.script
2025-06-01T21:26:29.7941440Z     >>> def script_add(x: Tensor, y: Tensor) -> Tensor:
2025-06-01T21:26:29.7941480Z     >>>     return x + y
2025-06-01T21:26:29.7941530Z     >>>
2025-06-01T21:26:29.7941590Z     >>> @rpc.functions.async_execution
2025-06-01T21:26:29.7941710Z     >>> @torch.jit.script
2025-06-01T21:26:29.7941830Z     >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]:
2025-06-01T21:26:29.7941920Z     >>>     return rpc.rpc_async(to, script_add, (x, y))
2025-06-01T21:26:29.7941950Z     >>>
2025-06-01T21:26:29.7942000Z     >>> # On worker0
2025-06-01T21:26:29.7942050Z     >>> ret = rpc.rpc_sync(
2025-06-01T21:26:29.7942100Z     >>>     "worker1",
2025-06-01T21:26:29.7942140Z     >>>     async_add,
2025-06-01T21:26:29.7942210Z     >>>     args=("worker2", torch.ones(2), 1)
2025-06-01T21:26:29.7942250Z     >>> )
2025-06-01T21:26:29.7942320Z     >>> print(ret)  # prints tensor([2., 2.])
2025-06-01T21:26:29.7942320Z 
2025-06-01T21:26:29.7942450Z     When combined with static or class method, this decorator must be the
2025-06-01T21:26:29.7942500Z     inner one.
2025-06-01T21:26:29.7942500Z 
2025-06-01T21:26:29.7942570Z     >>> from torch.distributed import rpc
2025-06-01T21:26:29.7942610Z     >>>
2025-06-01T21:26:29.7942670Z     >>> # omitting setup and shutdown RPC
2025-06-01T21:26:29.7942710Z     >>>
2025-06-01T21:26:29.7942750Z     >>> # On all workers
2025-06-01T21:26:29.7942810Z     >>> class AsyncExecutionClass:
2025-06-01T21:26:29.7942850Z     >>>
2025-06-01T21:26:29.7942900Z     >>>     @staticmethod
2025-06-01T21:26:29.7942970Z     >>>     @rpc.functions.async_execution
2025-06-01T21:26:29.7943070Z     >>>     def static_async_add(to, x, y, z):
2025-06-01T21:26:29.7943180Z     >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-06-01T21:26:29.7943240Z     >>>             lambda fut: fut.wait() + z
2025-06-01T21:26:29.7943280Z     >>>         )
2025-06-01T21:26:29.7943320Z     >>>
2025-06-01T21:26:29.7943370Z     >>>     @classmethod
2025-06-01T21:26:29.7943430Z     >>>     @rpc.functions.async_execution
2025-06-01T21:26:29.7943500Z     >>>     def class_async_add(cls, to, x, y, z):
2025-06-01T21:26:29.7943570Z     >>>         ret_fut = torch.futures.Future()
2025-06-01T21:26:29.7943730Z     >>>         rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-06-01T21:26:29.7943860Z     >>>             lambda fut: ret_fut.set_result(fut.wait() + z)
2025-06-01T21:26:29.7943900Z     >>>         )
2025-06-01T21:26:29.7943950Z     >>>         return ret_fut
2025-06-01T21:26:29.7943990Z     >>>
2025-06-01T21:26:29.7944050Z     >>>     @rpc.functions.async_execution
2025-06-01T21:26:29.7944130Z     >>>     def bound_async_add(self, to, x, y, z):
2025-06-01T21:26:29.7944230Z     >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-06-01T21:26:29.7944300Z     >>>             lambda fut: fut.wait() + z
2025-06-01T21:26:29.7944340Z     >>>         )
2025-06-01T21:26:29.7944380Z     >>>
2025-06-01T21:26:29.7944420Z     >>> # On worker0
2025-06-01T21:26:29.7944470Z     >>> ret = rpc.rpc_sync(
2025-06-01T21:26:29.7944550Z     >>>     "worker1",
2025-06-01T21:26:29.7944630Z     >>>     AsyncExecutionClass.static_async_add,
2025-06-01T21:26:29.7944700Z     >>>     args=("worker2", torch.ones(2), 1, 2)
2025-06-01T21:26:29.7944740Z     >>> )
2025-06-01T21:26:29.7944810Z     >>> print(ret)  # prints tensor([4., 4.])
2025-06-01T21:26:29.7944850Z     >>>
2025-06-01T21:26:29.7944900Z     >>> ret = rpc.rpc_sync(
2025-06-01T21:26:29.7944950Z     >>>     "worker1",
2025-06-01T21:26:29.7945020Z     >>>     AsyncExecutionClass.class_async_add,
2025-06-01T21:26:29.7945090Z     >>>     args=("worker2", torch.ones(2), 1, 2)
2025-06-01T21:26:29.7945130Z     >>> )
2025-06-01T21:26:29.7945190Z     >>> print(ret)  # prints tensor([4., 4.])
2025-06-01T21:26:29.7945200Z 
2025-06-01T21:26:29.7945290Z     This decorator also works with RRef helpers, i.e., .
2025-06-01T21:26:29.7945370Z     :meth:`torch.distributed.rpc.RRef.rpc_sync`,
2025-06-01T21:26:29.7945460Z     :meth:`torch.distributed.rpc.RRef.rpc_async`, and
2025-06-01T21:26:29.7945540Z     :meth:`torch.distributed.rpc.RRef.remote`.
2025-06-01T21:26:29.7945540Z 
2025-06-01T21:26:29.7945610Z     >>> from torch.distributed import rpc
2025-06-01T21:26:29.7945650Z     >>>
2025-06-01T21:26:29.7945730Z     >>> # reuse the AsyncExecutionClass class above
2025-06-01T21:26:29.7945830Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-06-01T21:26:29.7945950Z     >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2)
2025-06-01T21:26:29.7946030Z     >>> print(ret)  # prints tensor([4., 4.])
2025-06-01T21:26:29.7946060Z     >>>
2025-06-01T21:26:29.7946160Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-06-01T21:26:29.7946300Z     >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait()
2025-06-01T21:26:29.7946380Z     >>> print(ret)  # prints tensor([4., 4.])
2025-06-01T21:26:29.7946420Z     >>>
2025-06-01T21:26:29.7946510Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-06-01T21:26:29.7946650Z     >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here()
2025-06-01T21:26:29.7946720Z     >>> print(ret)  # prints tensor([4., 4.])
2025-06-01T21:26:29.7946720Z 
2025-06-01T21:26:29.7946870Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:29.7946870Z 
2025-06-01T21:26:29.7947380Z msg = Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=113.
2025-06-01T21:26:29.7947570Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:29.7947570Z 
2025-06-01T21:26:29.7947720Z Set device mapping between each RPC caller and callee pair. This
2025-06-01T21:26:29.7947830Z function can be called multiple times to incrementally add
2025-06-01T21:26:29.7947890Z device placement configurations.
2025-06-01T21:26:29.7947900Z 
2025-06-01T21:26:29.7947930Z Args:
2025-06-01T21:26:29.7947990Z     to (str): Callee name.
2025-06-01T21:26:29.7948100Z     device_map (Dict of int, str, or torch.device): Device placement
2025-06-01T21:26:29.7948240Z         mappings from this worker to the callee. This map must be
2025-06-01T21:26:29.7948310Z         invertible.
2025-06-01T21:26:29.7948310Z 
2025-06-01T21:26:29.7948360Z Example:
2025-06-01T21:26:29.7948420Z     >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:29.7948460Z     >>> # both workers
2025-06-01T21:26:29.7948510Z     >>> def add(x, y):
2025-06-01T21:26:29.7948590Z     >>>     print(x)  # tensor([1., 1.], device='cuda:1')
2025-06-01T21:26:29.7948650Z     >>>     return x + y, (x + y).to(2)
2025-06-01T21:26:29.7948690Z     >>>
2025-06-01T21:26:29.7948740Z     >>> # on worker 0
2025-06-01T21:26:29.7948810Z     >>> options = TensorPipeRpcBackendOptions(
2025-06-01T21:26:29.7948870Z     >>>     num_worker_threads=8,
2025-06-01T21:26:29.7948930Z     >>>     device_maps={"worker1": {0: 1}}
2025-06-01T21:26:29.7949040Z     >>> # maps worker0's cuda:0 to worker1's cuda:1
2025-06-01T21:26:29.7949080Z     >>> )
2025-06-01T21:26:29.7949160Z     >>> options.set_device_map("worker1", {1: 2})
2025-06-01T21:26:29.7949230Z     >>> # maps worker0's cuda:1 to worker1's cuda:2
2025-06-01T21:26:29.7949280Z     >>>
2025-06-01T21:26:29.7949330Z     >>> rpc.init_rpc(
2025-06-01T21:26:29.7949370Z     >>>     "worker0",
2025-06-01T21:26:29.7949410Z     >>>     rank=0,
2025-06-01T21:26:29.7949460Z     >>>     world_size=2,
2025-06-01T21:26:29.7949530Z     >>>     backend=rpc.BackendType.TENSORPIPE,
2025-06-01T21:26:29.7949590Z     >>>     rpc_backend_options=options
2025-06-01T21:26:29.7949630Z     >>> )
2025-06-01T21:26:29.7949670Z     >>>
2025-06-01T21:26:29.7949720Z     >>> x = torch.ones(2)
2025-06-01T21:26:29.7949810Z     >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1))
2025-06-01T21:26:29.7949930Z     >>> # The first argument will be moved to cuda:1 on worker1. When
2025-06-01T21:26:29.7950040Z     >>> # sending the return value back, it will follow the invert of
2025-06-01T21:26:29.7950140Z     >>> # the device map, and hence will be moved back to cuda:0 and
2025-06-01T21:26:29.7950200Z     >>> # cuda:1 on worker0
2025-06-01T21:26:29.7950290Z     >>> print(rets[0])  # tensor([2., 2.], device='cuda:0')
2025-06-01T21:26:29.7950380Z     >>> print(rets[1])  # tensor([2., 2.], device='cuda:1')
2025-06-01T21:26:29.7950380Z 
2025-06-01T21:26:29.7950520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:30.1163520Z 
2025-06-01T21:26:30.1164280Z msg = Cannot scrape callname=_server_process_global_profile in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19.
2025-06-01T21:26:30.1165090Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:30.1165320Z 
2025-06-01T21:26:30.1165440Z It has the same API as ``torch.autograd.profiler.profile`` class,
2025-06-01T21:26:30.1165800Z except that it enables profiling on all threads running RPC server request callbacks.
2025-06-01T21:26:30.1166030Z 
2025-06-01T21:26:30.1166210Z Context manager that manages autograd profiler state and holds a summary of results.
2025-06-01T21:26:30.1166590Z Under the hood it just records events of functions being executed in C++ and
2025-06-01T21:26:30.1166950Z exposes those events to Python. You can wrap any code into it and it will
2025-06-01T21:26:30.1167220Z only report runtime of PyTorch functions.
2025-06-01T21:26:30.1167780Z Note: profiler is thread local and is automatically propagated into the async tasks
2025-06-01T21:26:30.1168000Z 
2025-06-01T21:26:30.1168040Z Args:
2025-06-01T21:26:30.1168250Z     enabled (bool, optional): Setting this to False makes this context manager a no-op.
2025-06-01T21:26:30.1168520Z         Default: ``True``.
2025-06-01T21:26:30.1168620Z 
2025-06-01T21:26:30.1168790Z     use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API.
2025-06-01T21:26:30.1169140Z         Adds approximately 4us of overhead to each tensor operation.
2025-06-01T21:26:30.1169380Z         Default: ``False``
2025-06-01T21:26:30.1169550Z 
2025-06-01T21:26:30.1169730Z     record_shapes (bool, optional): If shapes recording is set, information
2025-06-01T21:26:30.1170060Z         about input dimensions will be collected. This allows one to see which
2025-06-01T21:26:30.1170380Z         dimensions have been used under the hood and further group by them
2025-06-01T21:26:30.1170780Z         using prof.key_averages(group_by_input_shape=True). Please note that
2025-06-01T21:26:30.1171120Z         shape recording might skew your profiling data. It is recommended to
2025-06-01T21:26:30.1171470Z         use separate runs with and without shape recording to validate the timing.
2025-06-01T21:26:30.1171810Z         Most likely the skew will be negligible for bottom most events (in a case
2025-06-01T21:26:30.1172140Z         of nested function calls). But for higher level functions the total
2025-06-01T21:26:30.1172520Z         self cpu time might be artificially increased because of the shape
2025-06-01T21:26:30.1172760Z         collection.
2025-06-01T21:26:30.1172850Z 
2025-06-01T21:26:30.1173010Z     profile_memory (bool, optional): Whether to report memory usage, default: ``False``
2025-06-01T21:26:30.1173250Z 
2025-06-01T21:26:30.1173310Z .. warning::
2025-06-01T21:26:30.1173510Z     Enabling memory profiling incurs additional profiler overhead
2025-06-01T21:26:30.1173690Z 
2025-06-01T21:26:30.1173740Z .. warning::
2025-06-01T21:26:30.1173980Z     Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`),
2025-06-01T21:26:30.1174390Z     one cannot use the profiler with ``use_cuda = True`` to benchmark
2025-06-01T21:26:30.1174720Z     DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading,
2025-06-01T21:26:30.1175020Z     please use ``use_cuda = False`` or ``num_workers = 0``.
2025-06-01T21:26:30.1175180Z 
2025-06-01T21:26:30.1175230Z Example:
2025-06-01T21:26:30.1175340Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:30.1175490Z     >>> # On worker 0:
2025-06-01T21:26:30.1175620Z     >>> import torch
2025-06-01T21:26:30.1175780Z     >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:30.1176000Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-06-01T21:26:30.1176220Z     >>> x, y = torch.tensor(1), torch.tensor(2)
2025-06-01T21:26:30.1176420Z     >>> outer_profile_rref = rpc.remote(
2025-06-01T21:26:30.1176640Z     ...     dst_worker_name, rpc._server_process_global_profile
2025-06-01T21:26:30.1176850Z     ... )
2025-06-01T21:26:30.1176990Z     >>> outer_profile_rref.rpc_sync().__enter__()
2025-06-01T21:26:30.1177220Z     >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y))
2025-06-01T21:26:30.1177440Z     >>> inner_profile_rref = rpc.remote(
2025-06-01T21:26:30.1177660Z     ...     dst_worker_name, rpc._server_process_global_profile
2025-06-01T21:26:30.1177870Z     ... )
2025-06-01T21:26:30.1178000Z     >>> inner_profile_rref.rpc_sync().__enter__()
2025-06-01T21:26:30.1178240Z     >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y))
2025-06-01T21:26:30.1178490Z     >>> inner_profile_rref.rpc_sync().__exit__(None, None, None)
2025-06-01T21:26:30.1178770Z     >>> outer_profile_rref.rpc_sync().__exit__(None, None, None)
2025-06-01T21:26:30.1179030Z     >>> print(inner_profile_rref.rpc_sync().key_averages())
2025-06-01T21:26:30.1179350Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-06-01T21:26:30.1179800Z     Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-06-01T21:26:30.1180200Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-06-01T21:26:30.1180530Z     sub        85.06%           76.275us         100.00%          89.667us         89.667us         1
2025-06-01T21:26:30.1180840Z     empty      14.94%           13.392us         14.94%           13.392us         13.392us         1
2025-06-01T21:26:30.1181190Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-06-01T21:26:30.1181480Z     Self CPU time total: 89.667us
2025-06-01T21:26:30.1181700Z     >>> print(outer_profile_rref.rpc_sync().key_averages())
2025-06-01T21:26:30.1182000Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-06-01T21:26:30.1182390Z     Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-06-01T21:26:30.1182780Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-06-01T21:26:30.1183100Z     sub        35.65%           76.275us         41.91%           89.667us         89.667us         1
2025-06-01T21:26:30.1183450Z     empty      12.67%           27.101us         12.67%           27.101us         13.551us         2
2025-06-01T21:26:30.1183750Z     add        51.68%           110.550us        58.09%           124.259us        124.259us        1
2025-06-01T21:26:30.1184080Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-06-01T21:26:30.1184350Z     Self CPU time total: 213.926us
2025-06-01T21:26:30.1184520Z     >>> rpc.shutdown()
2025-06-01T21:26:30.1184610Z 
2025-06-01T21:26:30.1184660Z     >>> # On worker 1:
2025-06-01T21:26:30.1184820Z     >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:30.1185030Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-06-01T21:26:30.1185280Z     >>> # wait for worker 0 to finish work, and then shutdown.
2025-06-01T21:26:30.1185490Z     >>> rpc.shutdown()
2025-06-01T21:26:30.1185580Z 
2025-06-01T21:26:30.1185730Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:30.1185950Z 
2025-06-01T21:26:30.1186430Z msg = Cannot scrape callname=assoc_in in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=245.
2025-06-01T21:26:30.1187110Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:30.1187440Z Return a new dict with new, potentially nested, key value pair
2025-06-01T21:26:30.1187620Z 
2025-06-01T21:26:30.1187670Z     >>> purchase = {
2025-06-01T21:26:30.1187810Z     ...     "name": "Alice",
2025-06-01T21:26:30.1188020Z     ...     "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-06-01T21:26:30.1188260Z     ...     "credit card": "5555-1234-1234-1234",
2025-06-01T21:26:30.1188440Z     ... }
2025-06-01T21:26:30.1188630Z     >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00])  # doctest: +SKIP
2025-06-01T21:26:30.1188870Z     {'credit card': '5555-1234-1234-1234',
2025-06-01T21:26:30.1189040Z      'name': 'Alice',
2025-06-01T21:26:30.1189230Z      'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
2025-06-01T21:26:30.1189440Z     
2025-06-01T21:26:30.1189650Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:30.1189860Z 
2025-06-01T21:26:30.1190340Z msg = Cannot scrape callname=update_in in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=261.
2025-06-01T21:26:30.1191020Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:30.1191390Z Update value in a (potentially) nested dictionary
2025-06-01T21:26:30.1191540Z 
2025-06-01T21:26:30.1191590Z     inputs:
2025-06-01T21:26:30.1191710Z     d - dictionary on which to operate
2025-06-01T21:26:30.1191970Z     keys - list or tuple giving the location of the value to be changed in d
2025-06-01T21:26:30.1192250Z     func - function to operate on that value
2025-06-01T21:26:30.1192380Z 
2025-06-01T21:26:30.1192490Z     If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
2025-06-01T21:26:30.1192840Z     original dictionary with v replaced by func(v), but does not mutate the
2025-06-01T21:26:30.1193120Z     original dictionary.
2025-06-01T21:26:30.1193220Z 
2025-06-01T21:26:30.1193350Z     If k0 is not a key in d, update_in creates nested dictionaries to the depth
2025-06-01T21:26:30.1193660Z     specified by the keys, with the innermost value set to func(default).
2025-06-01T21:26:30.1193850Z 
2025-06-01T21:26:30.1193910Z     >>> inc = lambda x: x + 1
2025-06-01T21:26:30.1194070Z     >>> update_in({"a": 0}, ["a"], inc)
2025-06-01T21:26:30.1194230Z     {'a': 1}
2025-06-01T21:26:30.1194300Z 
2025-06-01T21:26:30.1194350Z     >>> transaction = {
2025-06-01T21:26:30.1194490Z     ...     "name": "Alice",
2025-06-01T21:26:30.1194700Z     ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-06-01T21:26:30.1199820Z     ...     "credit card": "5555-1234-1234-1234",
2025-06-01T21:26:30.1200110Z     ... }
2025-06-01T21:26:30.1200310Z     >>> update_in(transaction, ["purchase", "costs"], sum)  # doctest: +SKIP
2025-06-01T21:26:30.1200570Z     {'credit card': '5555-1234-1234-1234',
2025-06-01T21:26:30.1200740Z      'name': 'Alice',
2025-06-01T21:26:30.1200930Z      'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}
2025-06-01T21:26:30.1201100Z 
2025-06-01T21:26:30.1201160Z     >>> # updating a value when k0 is not in d
2025-06-01T21:26:30.1201380Z     >>> update_in({}, [1, 2, 3], str, default="bar")
2025-06-01T21:26:30.1201560Z     {1: {2: {3: 'bar'}}}
2025-06-01T21:26:30.1201720Z     >>> update_in({1: "foo"}, [2, 3, 4], inc, 0)
2025-06-01T21:26:30.1201900Z     {1: 'foo', 2: {3: {4: 1}}}
2025-06-01T21:26:30.1202050Z     
2025-06-01T21:26:30.1202260Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:30.1202470Z 
2025-06-01T21:26:30.1202950Z msg = Cannot scrape callname=get_in in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=320.
2025-06-01T21:26:30.1203620Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:30.1203940Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.
2025-06-01T21:26:30.1204110Z 
2025-06-01T21:26:30.1204220Z     If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
2025-06-01T21:26:30.1204520Z     ``no_default`` is specified, then it raises KeyError or IndexError.
2025-06-01T21:26:30.1204710Z 
2025-06-01T21:26:30.1204840Z     ``get_in`` is a generalization of ``operator.getitem`` for nested data
2025-06-01T21:26:30.1205100Z     structures such as dictionaries and lists.
2025-06-01T21:26:30.1205240Z 
2025-06-01T21:26:30.1205290Z     >>> transaction = {
2025-06-01T21:26:30.1205430Z     ...     "name": "Alice",
2025-06-01T21:26:30.1205650Z     ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-06-01T21:26:30.1205900Z     ...     "credit card": "5555-1234-1234-1234",
2025-06-01T21:26:30.1206080Z     ... }
2025-06-01T21:26:30.1206220Z     >>> get_in(["purchase", "items", 0], transaction)
2025-06-01T21:26:30.1206410Z     'Apple'
2025-06-01T21:26:30.1206540Z     >>> get_in(["name"], transaction)
2025-06-01T21:26:30.1206700Z     'Alice'
2025-06-01T21:26:30.1206840Z     >>> get_in(["purchase", "total"], transaction)
2025-06-01T21:26:30.1207060Z     >>> get_in(["purchase", "items", "apple"], transaction)
2025-06-01T21:26:30.1207340Z     >>> get_in(["purchase", "items", 10], transaction)
2025-06-01T21:26:30.1207570Z     >>> get_in(["purchase", "total"], transaction, 0)
2025-06-01T21:26:30.1207750Z     0
2025-06-01T21:26:30.1207870Z     >>> get_in(["y"], {}, no_default=True)
2025-06-01T21:26:30.1208060Z     Traceback (most recent call last):
2025-06-01T21:26:30.1208230Z         ...
2025-06-01T21:26:30.1208330Z     KeyError: 'y'
2025-06-01T21:26:30.1208410Z 
2025-06-01T21:26:30.1208450Z     See Also:
2025-06-01T21:26:30.1208570Z         itertoolz.get
2025-06-01T21:26:30.1208710Z         operator.getitem
2025-06-01T21:26:30.1208850Z     
2025-06-01T21:26:30.1209080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.1253440Z 
2025-06-01T21:26:31.1254120Z msg = Cannot scrape callname=groupby in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=373.
2025-06-01T21:26:31.1254890Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.1255200Z Group a collection by a key function
2025-06-01T21:26:31.1255340Z 
2025-06-01T21:26:31.1255440Z     >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"]
2025-06-01T21:26:31.1255700Z     >>> groupby(len, names)  # doctest: +SKIP
2025-06-01T21:26:31.1255950Z     {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']}
2025-06-01T21:26:31.1256120Z 
2025-06-01T21:26:31.1256410Z     >>> iseven = lambda x: x % 2 == 0
2025-06-01T21:26:31.1256660Z     >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8])  # doctest: +SKIP
2025-06-01T21:26:31.1256900Z     {False: [1, 3, 5, 7], True: [2, 4, 6, 8]}
2025-06-01T21:26:31.1257040Z 
2025-06-01T21:26:31.1257130Z     Non-callable keys imply grouping on a member.
2025-06-01T21:26:31.1257290Z 
2025-06-01T21:26:31.1257330Z     >>> groupby(
2025-06-01T21:26:31.1257460Z     ...     "gender",
2025-06-01T21:26:31.1257590Z     ...     [
2025-06-01T21:26:31.1257730Z     ...         {"name": "Alice", "gender": "F"},
2025-06-01T21:26:31.1257940Z     ...         {"name": "Bob", "gender": "M"},
2025-06-01T21:26:31.1258150Z     ...         {"name": "Charlie", "gender": "M"},
2025-06-01T21:26:31.1258360Z     ...     ],
2025-06-01T21:26:31.1258490Z     ... )  # doctest:+SKIP
2025-06-01T21:26:31.1258660Z     {'F': [{'gender': 'F', 'name': 'Alice'}],
2025-06-01T21:26:31.1258850Z      'M': [{'gender': 'M', 'name': 'Bob'},
2025-06-01T21:26:31.1259040Z            {'gender': 'M', 'name': 'Charlie'}]}
2025-06-01T21:26:31.1259180Z 
2025-06-01T21:26:31.1259260Z     Not to be confused with ``itertools.groupby``
2025-06-01T21:26:31.1259410Z 
2025-06-01T21:26:31.1259450Z     See Also:
2025-06-01T21:26:31.1259570Z         countby
2025-06-01T21:26:31.1259680Z     
2025-06-01T21:26:31.1259880Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.1260100Z 
2025-06-01T21:26:31.1260520Z msg = Cannot scrape callname=AveragedModel in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/swa_utils.py line=117.
2025-06-01T21:26:31.1261190Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.1261630Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA).
2025-06-01T21:26:31.1261920Z 
2025-06-01T21:26:31.1262070Z     Stochastic Weight Averaging was proposed in `Averaging Weights Leads to
2025-06-01T21:26:31.1262430Z     Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii
2025-06-01T21:26:31.1262760Z     Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson
2025-06-01T21:26:31.1263010Z     (UAI 2018).
2025-06-01T21:26:31.1263080Z 
2025-06-01T21:26:31.1263210Z     Exponential Moving Average is a variation of `Polyak averaging`_,
2025-06-01T21:26:31.1263550Z     but using exponential weights instead of equal weights across iterations.
2025-06-01T21:26:31.1263760Z 
2025-06-01T21:26:31.1264080Z     AveragedModel class creates a copy of the provided module :attr:`model`
2025-06-01T21:26:31.1264430Z     on the device :attr:`device` and allows to compute running averages of the
2025-06-01T21:26:31.1264690Z     parameters of the :attr:`model`.
2025-06-01T21:26:31.1264820Z 
2025-06-01T21:26:31.1264860Z     Args:
2025-06-01T21:26:31.1265010Z         model (torch.nn.Module): model to use with SWA/EMA
2025-06-01T21:26:31.1265310Z         device (torch.device, optional): if provided, the averaged model will be
2025-06-01T21:26:31.1265580Z             stored on the :attr:`device`
2025-06-01T21:26:31.1265910Z         avg_fn (function, optional): the averaging function used to update
2025-06-01T21:26:31.1266270Z             parameters; the function must take in the current value of the
2025-06-01T21:26:31.1266590Z             :class:`AveragedModel` parameter, the current value of :attr:`model`
2025-06-01T21:26:31.1266900Z             parameter, and the number of models already averaged; if None,
2025-06-01T21:26:31.1267190Z             an equally weighted average is used (default: None)
2025-06-01T21:26:31.1267480Z         multi_avg_fn (function, optional): the averaging function used to update
2025-06-01T21:26:31.1267820Z             parameters inplace; the function must take in the current values of the
2025-06-01T21:26:31.1268200Z             :class:`AveragedModel` parameters as a list, the current values of :attr:`model`
2025-06-01T21:26:31.1268600Z             parameters as a list, and the number of models already averaged; if None,
2025-06-01T21:26:31.1268910Z             an equally weighted average is used (default: None)
2025-06-01T21:26:31.1269210Z         use_buffers (bool): if ``True``, it will compute running averages for
2025-06-01T21:26:31.1269540Z             both the parameters and the buffers of the model. (default: ``False``)
2025-06-01T21:26:31.1269730Z 
2025-06-01T21:26:31.1269780Z     Example:
2025-06-01T21:26:31.1269930Z         >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:31.1270150Z         >>> loader, optimizer, model, loss_fn = ...
2025-06-01T21:26:31.1270400Z         >>> swa_model = torch.optim.swa_utils.AveragedModel(model)
2025-06-01T21:26:31.1270700Z         >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer,
2025-06-01T21:26:31.1270970Z         >>>                                     T_max=300)
2025-06-01T21:26:31.1271160Z         >>> swa_start = 160
2025-06-01T21:26:31.1271360Z         >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05)
2025-06-01T21:26:31.1271580Z         >>> for i in range(300):
2025-06-01T21:26:31.1271770Z         >>>      for input, target in loader:
2025-06-01T21:26:31.1271960Z         >>>          optimizer.zero_grad()
2025-06-01T21:26:31.1272190Z         >>>          loss_fn(model(input), target).backward()
2025-06-01T21:26:31.1272400Z         >>>          optimizer.step()
2025-06-01T21:26:31.1272580Z         >>>      if i > swa_start:
2025-06-01T21:26:31.1272780Z         >>>          swa_model.update_parameters(model)
2025-06-01T21:26:31.1272990Z         >>>          swa_scheduler.step()
2025-06-01T21:26:31.1273170Z         >>>      else:
2025-06-01T21:26:31.1273320Z         >>>          scheduler.step()
2025-06-01T21:26:31.1273480Z         >>>
2025-06-01T21:26:31.1273640Z         >>> # Update bn statistics for the swa_model at the end
2025-06-01T21:26:31.1273910Z         >>> torch.optim.swa_utils.update_bn(loader, swa_model)
2025-06-01T21:26:31.1274080Z 
2025-06-01T21:26:31.1274260Z     You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters.
2025-06-01T21:26:31.1274640Z     If no averaging function is provided, the default is to compute
2025-06-01T21:26:31.1274920Z     equally-weighted average of the weights (SWA).
2025-06-01T21:26:31.1275070Z 
2025-06-01T21:26:31.1275120Z     Example:
2025-06-01T21:26:31.1275260Z         >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:31.1275510Z         >>> # Compute exponential moving averages of the weights and buffers
2025-06-01T21:26:31.1275870Z         >>> ema_model = torch.optim.swa_utils.AveragedModel(model,
2025-06-01T21:26:31.1276160Z         >>>             torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True)
2025-06-01T21:26:31.1276360Z 
2025-06-01T21:26:31.1276410Z     .. note::
2025-06-01T21:26:31.1276620Z         When using SWA/EMA with models containing Batch Normalization you may
2025-06-01T21:26:31.1276930Z         need to update the activation statistics for Batch Normalization.
2025-06-01T21:26:31.1277250Z         This can be done either by using the :meth:`torch.optim.swa_utils.update_bn`
2025-06-01T21:26:31.1277610Z         or by setting :attr:`use_buffers` to `True`. The first approach updates the
2025-06-01T21:26:31.1277970Z         statistics in a post-training step by passing data through the model. The
2025-06-01T21:26:31.1278310Z         second does it during the parameter update phase by averaging all buffers.
2025-06-01T21:26:31.1278650Z         Empirical evidence has shown that updating the statistics in normalization
2025-06-01T21:26:31.1278990Z         layers increases accuracy, but you may wish to empirically test which
2025-06-01T21:26:31.1279270Z         approach yields the best results in your problem.
2025-06-01T21:26:31.1279420Z 
2025-06-01T21:26:31.1279470Z     .. note::
2025-06-01T21:26:31.1279680Z         :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model.
2025-06-01T21:26:31.1279890Z 
2025-06-01T21:26:31.1279930Z     .. note::
2025-06-01T21:26:31.1280310Z         When :meth:`update_parameters` is called for the first time (i.e.
2025-06-01T21:26:31.1280620Z         :attr:`n_averaged` is `0`) the parameters of `model` are copied
2025-06-01T21:26:31.1280940Z         to the parameters of :class:`AveragedModel`. For every subsequent
2025-06-01T21:26:31.1281240Z         call of :meth:`update_parameters` the function `avg_fn` is used
2025-06-01T21:26:31.1281480Z         to update the parameters.
2025-06-01T21:26:31.1281600Z 
2025-06-01T21:26:31.1281730Z     .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-06-01T21:26:31.1282010Z         https://arxiv.org/abs/1803.05407
2025-06-01T21:26:31.1282280Z     .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should
2025-06-01T21:26:31.1282530Z         Average:
2025-06-01T21:26:31.1282670Z         https://arxiv.org/abs/1806.05594
2025-06-01T21:26:31.1282920Z     .. _SWALP: Stochastic Weight Averaging in Low-Precision Training:
2025-06-01T21:26:31.1283170Z         https://arxiv.org/abs/1904.11943
2025-06-01T21:26:31.1283430Z     .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That
2025-06-01T21:26:31.1283680Z         Generalizes Well:
2025-06-01T21:26:31.1283840Z         https://arxiv.org/abs/2001.02312
2025-06-01T21:26:31.1284020Z     .. _Polyak averaging:
2025-06-01T21:26:31.1284220Z         https://paperswithcode.com/method/polyak-averaging
2025-06-01T21:26:31.1284420Z     
2025-06-01T21:26:31.1284630Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.1284850Z 
2025-06-01T21:26:31.1285230Z msg = Cannot scrape callname=SWALR in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/swa_utils.py line=369.
2025-06-01T21:26:31.1285810Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.1286160Z Anneals the learning rate in each parameter group to a fixed value.
2025-06-01T21:26:31.1286350Z 
2025-06-01T21:26:31.1286490Z     This learning rate scheduler is meant to be used with Stochastic Weight
2025-06-01T21:26:31.1286810Z     Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`).
2025-06-01T21:26:31.1287000Z 
2025-06-01T21:26:31.1287040Z     Args:
2025-06-01T21:26:31.1287210Z         optimizer (torch.optim.Optimizer): wrapped optimizer
2025-06-01T21:26:31.1287490Z         swa_lrs (float or list): the learning rate value for all param groups
2025-06-01T21:26:31.1287750Z             together or separately for each group.
2025-06-01T21:26:31.1288050Z         annealing_epochs (int): number of epochs in the annealing phase
2025-06-01T21:26:31.1288270Z             (default: 10)
2025-06-01T21:26:31.1288500Z         annealing_strategy (str): "cos" or "linear"; specifies the annealing
2025-06-01T21:26:31.1288840Z             strategy: "cos" for cosine annealing, "linear" for linear annealing
2025-06-01T21:26:31.1289070Z             (default: "cos")
2025-06-01T21:26:31.1289280Z         last_epoch (int): the index of the last epoch (default: -1)
2025-06-01T21:26:31.1289450Z 
2025-06-01T21:26:31.1289560Z     The :class:`SWALR` scheduler can be used together with other
2025-06-01T21:26:31.1289920Z     schedulers to switch to a constant learning rate late in the training
2025-06-01T21:26:31.1290200Z     as in the example below.
2025-06-01T21:26:31.1290310Z 
2025-06-01T21:26:31.1290350Z     Example:
2025-06-01T21:26:31.1290490Z         >>> # xdoctest: +SKIP("Undefined variables")
2025-06-01T21:26:31.1290690Z         >>> loader, optimizer, model = ...
2025-06-01T21:26:31.1290870Z         >>> lr_lambda = lambda epoch: 0.9
2025-06-01T21:26:31.1291130Z         >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
2025-06-01T21:26:31.1291380Z         >>>        lr_lambda=lr_lambda)
2025-06-01T21:26:31.1291600Z         >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer,
2025-06-01T21:26:31.1291980Z         >>>        anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05)
2025-06-01T21:26:31.1292250Z         >>> swa_start = 160
2025-06-01T21:26:31.1292420Z         >>> for i in range(300):
2025-06-01T21:26:31.1292610Z         >>>      for input, target in loader:
2025-06-01T21:26:31.1292810Z         >>>          optimizer.zero_grad()
2025-06-01T21:26:31.1293010Z         >>>          loss_fn(model(input), target).backward()
2025-06-01T21:26:31.1293220Z         >>>          optimizer.step()
2025-06-01T21:26:31.1293390Z         >>>      if i > swa_start:
2025-06-01T21:26:31.1293560Z         >>>          swa_scheduler.step()
2025-06-01T21:26:31.1293730Z         >>>      else:
2025-06-01T21:26:31.1293870Z         >>>          scheduler.step()
2025-06-01T21:26:31.1293990Z 
2025-06-01T21:26:31.1294120Z     .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-06-01T21:26:31.1294380Z         https://arxiv.org/abs/1803.05407
2025-06-01T21:26:31.1294550Z     
2025-06-01T21:26:31.1294750Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.1294960Z 
2025-06-01T21:26:31.1295410Z msg = Cannot scrape callname=SelectiveCheckpointContext in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1207.
2025-06-01T21:26:31.1296080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.1296300Z 
2025-06-01T21:26:31.1296420Z Context passed to policy function during selective checkpointing.
2025-06-01T21:26:31.1296610Z 
2025-06-01T21:26:31.1296750Z This class is used to pass relevant metadata to the policy function during
2025-06-01T21:26:31.1297100Z selective checkpointing. The metadata includes whether the current invocation
2025-06-01T21:26:31.1297410Z of the policy function is during recomputation or not.
2025-06-01T21:26:31.1297580Z 
2025-06-01T21:26:31.1297620Z Example:
2025-06-01T21:26:31.1297740Z     >>> # xdoctest: +SKIP(stub)
2025-06-01T21:26:31.1297890Z     >>>
2025-06-01T21:26:31.1298020Z     >>> def policy_fn(ctx, op, *args, **kwargs):
2025-06-01T21:26:31.1298220Z     >>>    print(ctx.is_recompute)
2025-06-01T21:26:31.1298380Z     >>>
2025-06-01T21:26:31.1298590Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-06-01T21:26:31.1298860Z     >>>
2025-06-01T21:26:31.1299010Z     >>> out = torch.utils.checkpoint.checkpoint(
2025-06-01T21:26:31.1299200Z     >>>     fn, x, y,
2025-06-01T21:26:31.1299350Z     >>>     use_reentrant=False,
2025-06-01T21:26:31.1299570Z     >>>     context_fn=context_fn,
2025-06-01T21:26:31.1299770Z     >>> )
2025-06-01T21:26:31.1299830Z 
2025-06-01T21:26:31.1299980Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.1300190Z 
2025-06-01T21:26:31.1300660Z msg = Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1341.
2025-06-01T21:26:31.1301310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.1301520Z 
2025-06-01T21:26:31.1301710Z Helper to avoid recomputing certain ops during activation checkpointing.
2025-06-01T21:26:31.1301930Z 
2025-06-01T21:26:31.1302070Z Use this with `torch.utils.checkpoint.checkpoint` to control which
2025-06-01T21:26:31.1302350Z operations are recomputed during the backward pass.
2025-06-01T21:26:31.1302500Z 
2025-06-01T21:26:31.1302540Z Args:
2025-06-01T21:26:31.1302660Z     policy_fn_or_list (Callable or List):
2025-06-01T21:26:31.1302880Z       - If a policy function is provided, it should accept a
2025-06-01T21:26:31.1303180Z         :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and
2025-06-01T21:26:31.1303510Z         kwargs to the op, and return a :class:`CheckpointPolicy` enum value
2025-06-01T21:26:31.1303840Z         indicating whether the execution of the op should be recomputed or not.
2025-06-01T21:26:31.1304160Z       - If a list of operations is provided, it is equivalent to a policy
2025-06-01T21:26:31.1304480Z         returning `CheckpointPolicy.MUST_SAVE` for the specified
2025-06-01T21:26:31.1304780Z         operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other
2025-06-01T21:26:31.1305020Z         operations.
2025-06-01T21:26:31.1305280Z     allow_cache_entry_mutation (bool, optional): By default, an error is
2025-06-01T21:26:31.1305590Z         raised if any tensors cached by selective activation checkpoint are
2025-06-01T21:26:31.1305900Z         mutated in order to ensure correctness. If set to `True`, this check
2025-06-01T21:26:31.1306130Z         is disabled.
2025-06-01T21:26:31.1306270Z Returns:
2025-06-01T21:26:31.1306390Z     A tuple of two context managers.
2025-06-01T21:26:31.1306520Z 
2025-06-01T21:26:31.1306570Z Example:
2025-06-01T21:26:31.1306690Z     >>> # xdoctest: +REQUIRES(LINUX)
2025-06-01T21:26:31.1311950Z     >>> import functools
2025-06-01T21:26:31.1312100Z     >>>
2025-06-01T21:26:31.1312240Z     >>> x = torch.rand(10, 10, requires_grad=True)
2025-06-01T21:26:31.1312450Z     >>> y = torch.rand(10, 10, requires_grad=True)
2025-06-01T21:26:31.1312620Z     >>>
2025-06-01T21:26:31.1312720Z     >>> ops_to_save = [
2025-06-01T21:26:31.1312880Z     >>>    torch.ops.aten.mm.default,
2025-06-01T21:26:31.1313050Z     >>> ]
2025-06-01T21:26:31.1313150Z     >>>
2025-06-01T21:26:31.1313270Z     >>> def policy_fn(ctx, op, *args, **kwargs):
2025-06-01T21:26:31.1313460Z     >>>    if op in ops_to_save:
2025-06-01T21:26:31.1313640Z     >>>        return CheckpointPolicy.MUST_SAVE
2025-06-01T21:26:31.1313810Z     >>>    else:
2025-06-01T21:26:31.1313970Z     >>>        return CheckpointPolicy.PREFER_RECOMPUTE
2025-06-01T21:26:31.1314230Z     >>>
2025-06-01T21:26:31.1314440Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-06-01T21:26:31.1314700Z     >>>
2025-06-01T21:26:31.1314810Z     >>> # or equivalently
2025-06-01T21:26:31.1315060Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save)
2025-06-01T21:26:31.1315320Z     >>>
2025-06-01T21:26:31.1315430Z     >>> def fn(x, y):
2025-06-01T21:26:31.1315630Z     >>>     return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y
2025-06-01T21:26:31.1315850Z     >>>
2025-06-01T21:26:31.1315980Z     >>> out = torch.utils.checkpoint.checkpoint(
2025-06-01T21:26:31.1316160Z     >>>     fn, x, y,
2025-06-01T21:26:31.1316390Z     >>>     use_reentrant=False,
2025-06-01T21:26:31.1316550Z     >>>     context_fn=context_fn,
2025-06-01T21:26:31.1316700Z     >>> )
2025-06-01T21:26:31.1316860Z 
2025-06-01T21:26:31.1317010Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.1317210Z 
2025-06-01T21:26:31.1317770Z msg = Cannot scrape callname=ThroughputBenchmark in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=61.
2025-06-01T21:26:31.1318450Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.1318670Z 
2025-06-01T21:26:31.1318850Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark.
2025-06-01T21:26:31.1319110Z 
2025-06-01T21:26:31.1319320Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible
2025-06-01T21:26:31.1319710Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference
2025-06-01T21:26:31.1320060Z server like load. It can emulate multiple calling threads to a single module
2025-06-01T21:26:31.1320410Z provided. In the future we plan to enhance this component to support inter and
2025-06-01T21:26:31.1320760Z intra-op parallelism as well as multiple models running in a single process.
2025-06-01T21:26:31.1320970Z 
2025-06-01T21:26:31.1321120Z Please note that even though nn.Module is supported, it might incur an overhead
2025-06-01T21:26:31.1321470Z from the need to hold GIL every time we execute Python code or pass around
2025-06-01T21:26:31.1321840Z inputs as Python objects. As soon as you have a ScriptModule version of your
2025-06-01T21:26:31.1322190Z model for inference deployment it is better to switch to using it in this
2025-06-01T21:26:31.1322440Z benchmark.
2025-06-01T21:26:31.1322510Z 
2025-06-01T21:26:31.1322560Z Example::
2025-06-01T21:26:31.1322620Z 
2025-06-01T21:26:31.1322690Z     >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:31.1322900Z     >>> from torch.utils import ThroughputBenchmark
2025-06-01T21:26:31.1323130Z     >>> bench = ThroughputBenchmark(my_module)
2025-06-01T21:26:31.1323370Z     >>> # Pre-populate benchmark's data set with the inputs
2025-06-01T21:26:31.1323580Z     >>> for input in inputs:
2025-06-01T21:26:31.1323810Z     ...     # Both args and kwargs work, same as any PyTorch Module / ScriptModule
2025-06-01T21:26:31.1324080Z     ...     bench.add_input(input[0], x2=input[1])
2025-06-01T21:26:31.1324340Z     >>> # Inputs supplied above are randomly used during the execution
2025-06-01T21:26:31.1324580Z     >>> stats = bench.benchmark(
2025-06-01T21:26:31.1324750Z     ...     num_calling_threads=4,
2025-06-01T21:26:31.1324920Z     ...     num_warmup_iters = 100,
2025-06-01T21:26:31.1325090Z     ...     num_iters = 1000,
2025-06-01T21:26:31.1325240Z     ... )
2025-06-01T21:26:31.1325410Z     >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms))
2025-06-01T21:26:31.1325690Z     >>> print("Number of iterations: {}".format(stats.num_iters))
2025-06-01T21:26:31.1325860Z 
2025-06-01T21:26:31.1326010Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.1326230Z 
2025-06-01T21:26:31.1326650Z msg = Cannot scrape callname=register_pytree_node in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=134.
2025-06-01T21:26:31.1327280Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.1327580Z Register a container-like type as pytree node.
2025-06-01T21:26:31.1327720Z 
2025-06-01T21:26:31.1327770Z     Args:
2025-06-01T21:26:31.1327940Z         cls (type): A Python type to treat as an internal pytree node.
2025-06-01T21:26:31.1328290Z         flatten_fn (callable): A function to be used during flattening, taking an instance of
2025-06-01T21:26:31.1328670Z             ``cls`` and returning a pair, with (1) an iterable for the children to be flattened
2025-06-01T21:26:31.1329050Z             recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be
2025-06-01T21:26:31.1329380Z             passed to the ``unflatten_fn``.
2025-06-01T21:26:31.1329670Z         unflatten_fn (callable): A function taking two arguments: the auxiliary data that was
2025-06-01T21:26:31.1330040Z             returned by ``flatten_fn`` and stored in the treespec, and the unflattened children.
2025-06-01T21:26:31.1330350Z             The function should return an instance of ``cls``.
2025-06-01T21:26:31.1330660Z         serialized_type_name (str, optional): A keyword argument used to specify the fully
2025-06-01T21:26:31.1330970Z             qualified name used when serializing the tree spec.
2025-06-01T21:26:31.1331320Z         to_dumpable_context (callable, optional): An optional keyword argument to custom specify how
2025-06-01T21:26:31.1331740Z             to convert the context of the pytree to a custom json dumpable representation. This is
2025-06-01T21:26:31.1332110Z             used for json serialization, which is being used in :mod:`torch.export` right now.
2025-06-01T21:26:31.1332510Z         from_dumpable_context (callable, optional): An optional keyword argument to custom specify
2025-06-01T21:26:31.1332890Z             how to convert the custom json dumpable representation of the context back to the
2025-06-01T21:26:31.1333250Z             original context. This is used for json deserialization, which is being used in
2025-06-01T21:26:31.1333530Z             :mod:`torch.export` right now.
2025-06-01T21:26:31.1333650Z 
2025-06-01T21:26:31.1333700Z     Example::
2025-06-01T21:26:31.1333770Z 
2025-06-01T21:26:31.1333940Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:31.1334140Z         >>> # Registry a Python type with lambda functions
2025-06-01T21:26:31.1334360Z         >>> register_pytree_node(
2025-06-01T21:26:31.1334520Z         ...     set,
2025-06-01T21:26:31.1334680Z         ...     lambda s: (sorted(s), None, None),
2025-06-01T21:26:31.1334890Z         ...     lambda children, _: set(children),
2025-06-01T21:26:31.1335070Z         ... )
2025-06-01T21:26:31.1335170Z     
2025-06-01T21:26:31.1335380Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.1335590Z 
2025-06-01T21:26:31.1336010Z msg = Cannot scrape callname=CppExtension in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1137.
2025-06-01T21:26:31.1336660Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.1336870Z 
2025-06-01T21:26:31.1336960Z Create a :class:`setuptools.Extension` for C++.
2025-06-01T21:26:31.1337110Z 
2025-06-01T21:26:31.1337250Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-06-01T21:26:31.1337590Z bare minimum (but often sufficient) arguments to build a C++ extension.
2025-06-01T21:26:31.1337790Z 
2025-06-01T21:26:31.1337920Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-06-01T21:26:31.1338180Z constructor. Full list arguments can be found at
2025-06-01T21:26:31.1338530Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-06-01T21:26:31.1338780Z 
2025-06-01T21:26:31.1338830Z .. warning::
2025-06-01T21:26:31.1339060Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-06-01T21:26:31.1339390Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-06-01T21:26:31.1339700Z     the user's responsibility in their library to not use APIs from
2025-06-01T21:26:31.1340020Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-06-01T21:26:31.1340360Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-06-01T21:26:31.1340680Z     example, to give access to custom ops from python, the library should
2025-06-01T21:26:31.1340940Z     register the ops through the dispatcher.
2025-06-01T21:26:31.1341080Z 
2025-06-01T21:26:31.1341210Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-06-01T21:26:31.1341530Z     as a compile flag when py_limited_api is specified as an option for
2025-06-01T21:26:31.1341930Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-06-01T21:26:31.1342250Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-06-01T21:26:31.1342570Z     safety, and sanity in order to encourage best practices. To target a
2025-06-01T21:26:31.1342880Z     different version, set min_supported_cpython to the hexcode of the
2025-06-01T21:26:31.1343130Z     CPython version of choice.
2025-06-01T21:26:31.1343240Z 
2025-06-01T21:26:31.1343290Z Example:
2025-06-01T21:26:31.1343400Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:31.1343730Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-06-01T21:26:31.1344010Z     >>> from setuptools import setup
2025-06-01T21:26:31.1344270Z     >>> from torch.utils.cpp_extension import BuildExtension, CppExtension
2025-06-01T21:26:31.1344510Z     >>> setup(
2025-06-01T21:26:31.1344630Z     ...     name='extension',
2025-06-01T21:26:31.1344790Z     ...     ext_modules=[
2025-06-01T21:26:31.1344930Z     ...         CppExtension(
2025-06-01T21:26:31.1345090Z     ...             name='extension',
2025-06-01T21:26:31.1345260Z     ...             sources=['extension.cpp'],
2025-06-01T21:26:31.1345450Z     ...             extra_compile_args=['-g'],
2025-06-01T21:26:31.1345670Z     ...             extra_link_args=['-Wl,--no-as-needed', '-lm'])
2025-06-01T21:26:31.1345860Z     ...     ],
2025-06-01T21:26:31.1345970Z     ...     cmdclass={
2025-06-01T21:26:31.1346150Z     ...         'build_ext': BuildExtension
2025-06-01T21:26:31.1346320Z     ...     })
2025-06-01T21:26:31.1346390Z 
2025-06-01T21:26:31.1346530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.1346770Z 
2025-06-01T21:26:31.1347170Z msg = Cannot scrape callname=CUDAExtension in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1207.
2025-06-01T21:26:31.1347770Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.1347990Z 
2025-06-01T21:26:31.1348080Z Create a :class:`setuptools.Extension` for CUDA/C++.
2025-06-01T21:26:31.1348230Z 
2025-06-01T21:26:31.1348370Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-06-01T21:26:31.1348680Z bare minimum (but often sufficient) arguments to build a CUDA/C++
2025-06-01T21:26:31.1348990Z extension. This includes the CUDA include path, library path and runtime
2025-06-01T21:26:31.1349220Z library.
2025-06-01T21:26:31.1349280Z 
2025-06-01T21:26:31.1349400Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-06-01T21:26:31.1349660Z constructor. Full list arguments can be found at
2025-06-01T21:26:31.1349990Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-06-01T21:26:31.1350230Z 
2025-06-01T21:26:31.1350280Z .. warning::
2025-06-01T21:26:31.1350480Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-06-01T21:26:31.1350800Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-06-01T21:26:31.1351180Z     the user's responsibility in their library to not use APIs from
2025-06-01T21:26:31.1351510Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-06-01T21:26:31.1351850Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-06-01T21:26:31.1352160Z     example, to give access to custom ops from python, the library should
2025-06-01T21:26:31.1352420Z     register the ops through the dispatcher.
2025-06-01T21:26:31.1352560Z 
2025-06-01T21:26:31.1352690Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-06-01T21:26:31.1353010Z     as a compile flag when py_limited_api is specified as an option for
2025-06-01T21:26:31.1353330Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-06-01T21:26:31.1353700Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-06-01T21:26:31.1354050Z     safety, and sanity in order to encourage best practices. To target a
2025-06-01T21:26:31.1354370Z     different version, set min_supported_cpython to the hexcode of the
2025-06-01T21:26:31.1354620Z     CPython version of choice.
2025-06-01T21:26:31.1354730Z 
2025-06-01T21:26:31.1354770Z Example:
2025-06-01T21:26:31.1354880Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:31.1355060Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-06-01T21:26:31.1355270Z     >>> from setuptools import setup
2025-06-01T21:26:31.1355580Z     >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension
2025-06-01T21:26:31.1355840Z     >>> setup(
2025-06-01T21:26:31.1355970Z     ...     name='cuda_extension',
2025-06-01T21:26:31.1356140Z     ...     ext_modules=[
2025-06-01T21:26:31.1356290Z     ...         CUDAExtension(
2025-06-01T21:26:31.1356450Z     ...                 name='cuda_extension',
2025-06-01T21:26:31.1356680Z     ...                 sources=['extension.cpp', 'extension_kernel.cu'],
2025-06-01T21:26:31.1356920Z     ...                 extra_compile_args={'cxx': ['-g'],
2025-06-01T21:26:31.1357140Z     ...                                     'nvcc': ['-O2']},
2025-06-01T21:26:31.1357380Z     ...                 extra_link_args=['-Wl,--no-as-needed', '-lcuda'])
2025-06-01T21:26:31.1357580Z     ...     ],
2025-06-01T21:26:31.1357690Z     ...     cmdclass={
2025-06-01T21:26:31.1357840Z     ...         'build_ext': BuildExtension
2025-06-01T21:26:31.1358040Z     ...     })
2025-06-01T21:26:31.1358120Z 
2025-06-01T21:26:31.1358170Z Compute capabilities:
2025-06-01T21:26:31.1358270Z 
2025-06-01T21:26:31.1358440Z By default the extension will be compiled to run on all archs of the cards visible during the
2025-06-01T21:26:31.1358860Z building process of the extension, plus PTX. If down the road a new card is installed the
2025-06-01T21:26:31.1359270Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's
2025-06-01T21:26:31.1359680Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch
2025-06-01T21:26:31.1360090Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does
2025-06-01T21:26:31.1360390Z support (see below for details on PTX).
2025-06-01T21:26:31.1360520Z 
2025-06-01T21:26:31.1360710Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which
2025-06-01T21:26:31.1361020Z CCs you want the extension to support:
2025-06-01T21:26:31.1361140Z 
2025-06-01T21:26:31.1361260Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py``
2025-06-01T21:26:31.1361580Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py``
2025-06-01T21:26:31.1361790Z 
2025-06-01T21:26:31.1361980Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified
2025-06-01T21:26:31.1362410Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >=
2025-06-01T21:26:31.1362840Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with
2025-06-01T21:26:31.1363250Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to
2025-06-01T21:26:31.1363670Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on
2025-06-01T21:26:31.1364070Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better
2025-06-01T21:26:31.1364470Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6,
2025-06-01T21:26:31.1364890Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but
2025-06-01T21:26:31.1365180Z "8.0 8.6" would be better.
2025-06-01T21:26:31.1365280Z 
2025-06-01T21:26:31.1365450Z Note that while it's possible to include all supported archs, the more archs get included the
2025-06-01T21:26:31.1365890Z slower the building process will be, as it will build a separate kernel image for each arch.
2025-06-01T21:26:31.1366120Z 
2025-06-01T21:26:31.1366310Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows.
2025-06-01T21:26:31.1366680Z To workaround the issue, move python binding logic to pure C++ file.
2025-06-01T21:26:31.1366860Z 
2025-06-01T21:26:31.1366910Z Example use:
2025-06-01T21:26:31.1367030Z     #include <ATen/ATen.h>
2025-06-01T21:26:31.1367210Z     at::Tensor SigmoidAlphaBlendForwardCuda(....)
2025-06-01T21:26:31.1367360Z 
2025-06-01T21:26:31.1367400Z Instead of:
2025-06-01T21:26:31.1367540Z     #include <torch/extension.h>
2025-06-01T21:26:31.1367760Z     torch::Tensor SigmoidAlphaBlendForwardCuda(...)
2025-06-01T21:26:31.1367910Z 
2025-06-01T21:26:31.1368070Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460
2025-06-01T21:26:31.1368570Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48
2025-06-01T21:26:31.1368910Z 
2025-06-01T21:26:31.1368970Z Relocatable device code linking:
2025-06-01T21:26:31.1369080Z 
2025-06-01T21:26:31.1369240Z If you want to reference device symbols across compilation units (across object files),
2025-06-01T21:26:31.1369690Z the object files need to be built with `relocatable device code` (-rdc=true or -dc).
2025-06-01T21:26:31.1370170Z An exception to this rule is "dynamic parallelism" (nested kernel launches)  which is not used a lot anymore.
2025-06-01T21:26:31.1370650Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it.
2025-06-01T21:26:31.1371100Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step
2025-06-01T21:26:31.1371460Z helps reduce the protentional perf degradation of `-rdc`.
2025-06-01T21:26:31.1371720Z Note that it needs to be used at both steps to be useful.
2025-06-01T21:26:31.1371890Z 
2025-06-01T21:26:31.1372110Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step.
2025-06-01T21:26:31.1372490Z There is also a case where `-dlink` is used without `-rdc`:
2025-06-01T21:26:31.1372800Z when an extension is linked against a static lib containing rdc-compiled objects
2025-06-01T21:26:31.1373150Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem).
2025-06-01T21:26:31.1373340Z 
2025-06-01T21:26:31.1373460Z Note: Ninja is required to build a CUDA Extension with RDC linking.
2025-06-01T21:26:31.1373650Z 
2025-06-01T21:26:31.1373690Z Example:
2025-06-01T21:26:31.1373800Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:31.1373990Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-06-01T21:26:31.1374190Z     >>> CUDAExtension(
2025-06-01T21:26:31.1374330Z     ...        name='cuda_extension',
2025-06-01T21:26:31.1374550Z     ...        sources=['extension.cpp', 'extension_kernel.cu'],
2025-06-01T21:26:31.1374750Z     ...        dlink=True,
2025-06-01T21:26:31.1374920Z     ...        dlink_libraries=["dlink_lib"],
2025-06-01T21:26:31.1375120Z     ...        extra_compile_args={'cxx': ['-g'],
2025-06-01T21:26:31.1375330Z     ...                            'nvcc': ['-O2', '-rdc=true']})
2025-06-01T21:26:31.1375480Z 
2025-06-01T21:26:31.1375620Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.1375840Z 
2025-06-01T21:26:31.1376250Z msg = Cannot scrape callname=SyclExtension in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1398.
2025-06-01T21:26:31.1376870Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.1377100Z 
2025-06-01T21:26:31.1377190Z Creates a :class:`setuptools.Extension` for SYCL/C++.
2025-06-01T21:26:31.1377350Z 
2025-06-01T21:26:31.1377490Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-06-01T21:26:31.1377810Z bare minimum (but often sufficient) arguments to build a SYCL/C++
2025-06-01T21:26:31.1378070Z extension.
2025-06-01T21:26:31.1378130Z 
2025-06-01T21:26:31.1378250Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-06-01T21:26:31.1378470Z constructor.
2025-06-01T21:26:31.1378540Z 
2025-06-01T21:26:31.1378580Z .. warning::
2025-06-01T21:26:31.1378780Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-06-01T21:26:31.1379090Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-06-01T21:26:31.1379390Z     the user's responsibility in their library to not use APIs from
2025-06-01T21:26:31.1379710Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-06-01T21:26:31.1380050Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-06-01T21:26:31.1380360Z     example, to give access to custom ops from python, the library should
2025-06-01T21:26:31.1380620Z     register the ops through the dispatcher.
2025-06-01T21:26:31.1380750Z 
2025-06-01T21:26:31.1380880Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-06-01T21:26:31.1381190Z     as a compile flag when py_limited_api is specified as an option for
2025-06-01T21:26:31.1381490Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-06-01T21:26:31.1381790Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-06-01T21:26:31.1382170Z     safety, and sanity in order to encourage best practices. To target a
2025-06-01T21:26:31.1382480Z     different version, set min_supported_cpython to the hexcode of the
2025-06-01T21:26:31.1382770Z     CPython version of choice.
2025-06-01T21:26:31.1382880Z 
2025-06-01T21:26:31.1382920Z Example:
2025-06-01T21:26:31.1383030Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:31.1383210Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-06-01T21:26:31.1383490Z     >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension
2025-06-01T21:26:31.1383730Z     >>> setup(
2025-06-01T21:26:31.1383860Z     ...     name='xpu_extension',
2025-06-01T21:26:31.1384030Z     ...     ext_modules=[
2025-06-01T21:26:31.1384180Z     ...     SyclExtension(
2025-06-01T21:26:31.1384350Z     ...                 name='xpu_extension',
2025-06-01T21:26:31.1387730Z     ...                 sources=['extension.cpp', 'extension_kernel.cpp'],
2025-06-01T21:26:31.1388020Z     ...                 extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']})
2025-06-01T21:26:31.1388240Z     ...     ],
2025-06-01T21:26:31.1388350Z     ...     cmdclass={
2025-06-01T21:26:31.1388490Z     ...         'build_ext': BuildExtension
2025-06-01T21:26:31.1388660Z     ...     })
2025-06-01T21:26:31.1388730Z 
2025-06-01T21:26:31.1388900Z By default the extension will be compiled to run on all archs of the cards visible during the
2025-06-01T21:26:31.1389270Z building process of the extension. If down the road a new card is installed the
2025-06-01T21:26:31.1389630Z extension may need to be recompiled. You can override the default behavior using
2025-06-01T21:26:31.1390010Z `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension
2025-06-01T21:26:31.1390290Z to support:
2025-06-01T21:26:31.1390350Z 
2025-06-01T21:26:31.1390470Z ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py``
2025-06-01T21:26:31.1390650Z 
2025-06-01T21:26:31.1390820Z Note that while it's possible to include all supported archs, the more archs get included the
2025-06-01T21:26:31.1391310Z slower the building process will be, as it will build a separate kernel image for each arch.
2025-06-01T21:26:31.1391560Z 
2025-06-01T21:26:31.1391640Z Note: Ninja is required to build SyclExtension.
2025-06-01T21:26:31.1391800Z 
2025-06-01T21:26:31.1391940Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.3955510Z 
2025-06-01T21:26:31.3956090Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1575.
2025-06-01T21:26:31.3956920Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.3957160Z 
2025-06-01T21:26:31.3957250Z Load a PyTorch C++ extension just-in-time (JIT).
2025-06-01T21:26:31.3957410Z 
2025-06-01T21:26:31.3957540Z To load an extension, a Ninja build file is emitted, which is used to
2025-06-01T21:26:31.3957870Z compile the given sources into a dynamic library. This library is
2025-06-01T21:26:31.3958210Z subsequently loaded into the current Python process as a module and
2025-06-01T21:26:31.3958550Z returned from this function, ready for use.
2025-06-01T21:26:31.3958750Z 
2025-06-01T21:26:31.3958880Z By default, the directory to which the build file is emitted and the
2025-06-01T21:26:31.3959230Z resulting library compiled to is ``<tmp>/torch_extensions/<name>``, where
2025-06-01T21:26:31.3959570Z ``<tmp>`` is the temporary folder on the current platform and ``<name>``
2025-06-01T21:26:31.3959900Z the name of the extension. This location can be overridden in two ways.
2025-06-01T21:26:31.3960230Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it
2025-06-01T21:26:31.3960560Z replaces ``<tmp>/torch_extensions`` and all extensions will be compiled
2025-06-01T21:26:31.3960900Z into subfolders of this directory. Second, if the ``build_directory``
2025-06-01T21:26:31.3961230Z argument to this function is supplied, it overrides the entire path, i.e.
2025-06-01T21:26:31.3961640Z the library will be compiled into that folder directly.
2025-06-01T21:26:31.3961800Z 
2025-06-01T21:26:31.3961920Z To compile the sources, the default system compiler (``c++``) is used,
2025-06-01T21:26:31.3962370Z which can be overridden by setting the ``CXX`` environment variable. To pass
2025-06-01T21:26:31.3962730Z additional arguments to the compilation process, ``extra_cflags`` or
2025-06-01T21:26:31.3963070Z ``extra_ldflags`` can be provided. For example, to compile your extension
2025-06-01T21:26:31.3963390Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use
2025-06-01T21:26:31.3963680Z ``extra_cflags`` to pass further include directories.
2025-06-01T21:26:31.3963830Z 
2025-06-01T21:26:31.3963970Z CUDA support with mixed compilation is provided. Simply pass CUDA source
2025-06-01T21:26:31.3964290Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be
2025-06-01T21:26:31.3964610Z detected and compiled with nvcc rather than the C++ compiler. This includes
2025-06-01T21:26:31.3964950Z passing the CUDA lib64 directory as a library directory, and linking
2025-06-01T21:26:31.3965240Z ``cudart``. You can pass additional flags to nvcc via
2025-06-01T21:26:31.3965520Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various
2025-06-01T21:26:31.3965860Z heuristics for finding the CUDA install directory are used, which usually
2025-06-01T21:26:31.3966190Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the
2025-06-01T21:26:31.3966430Z safest option.
2025-06-01T21:26:31.3966510Z 
2025-06-01T21:26:31.3966640Z SYCL support with mixed compilation is provided. Simply pass SYCL source
2025-06-01T21:26:31.3966970Z files (``.sycl``) along with other sources. Such files will be detected
2025-06-01T21:26:31.3967270Z and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather
2025-06-01T21:26:31.3967600Z than the C++ compiler. You can pass additional flags to SYCL compiler
2025-06-01T21:26:31.3967900Z via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++.
2025-06-01T21:26:31.3968200Z SYCL compiler is expected to be found via system PATH environment
2025-06-01T21:26:31.3968420Z variable.
2025-06-01T21:26:31.3968490Z 
2025-06-01T21:26:31.3968530Z Args:
2025-06-01T21:26:31.3968710Z     name: The name of the extension to build. This MUST be the same as the
2025-06-01T21:26:31.3968950Z         name of the pybind11 module!
2025-06-01T21:26:31.3969190Z     sources: A list of relative or absolute paths to C++ source files.
2025-06-01T21:26:31.3969560Z     extra_cflags: optional list of compiler flags to forward to the build.
2025-06-01T21:26:31.3969890Z     extra_cuda_cflags: optional list of compiler flags to forward to nvcc
2025-06-01T21:26:31.3970140Z         when building CUDA sources.
2025-06-01T21:26:31.3970380Z     extra_sycl_cflags: optional list of compiler flags to forward to SYCL
2025-06-01T21:26:31.3970640Z         compiler when building SYCL sources.
2025-06-01T21:26:31.3970900Z     extra_ldflags: optional list of linker flags to forward to the build.
2025-06-01T21:26:31.3971220Z     extra_include_paths: optional list of include directories to forward
2025-06-01T21:26:31.3971500Z         to the build.
2025-06-01T21:26:31.3971720Z     build_directory: optional path to use as build workspace.
2025-06-01T21:26:31.3971990Z     verbose: If ``True``, turns on verbose logging of load steps.
2025-06-01T21:26:31.3972290Z     with_cuda: Determines whether CUDA headers and libraries are added to
2025-06-01T21:26:31.3972570Z         the build. If set to ``None`` (default), this value is
2025-06-01T21:26:31.3972860Z         automatically determined based on the existence of ``.cu`` or
2025-06-01T21:26:31.3973140Z         ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers
2025-06-01T21:26:31.3973440Z         and libraries to be included.
2025-06-01T21:26:31.3973700Z     with_sycl: Determines whether SYCL headers and libraries are added to
2025-06-01T21:26:31.3974010Z         the build. If set to ``None`` (default), this value is
2025-06-01T21:26:31.3974350Z         automatically determined based on the existence of ``.sycl`` in
2025-06-01T21:26:31.3974650Z         ``sources``. Set it to `True`` to force SYCL headers and
2025-06-01T21:26:31.3974870Z         libraries to be included.
2025-06-01T21:26:31.3975110Z     is_python_module: If ``True`` (default), imports the produced shared
2025-06-01T21:26:31.3975410Z         library as a Python module. If ``False``, behavior depends on
2025-06-01T21:26:31.3975650Z         ``is_standalone``.
2025-06-01T21:26:31.3975880Z     is_standalone: If ``False`` (default) loads the constructed extension
2025-06-01T21:26:31.3976190Z         into the process as a plain dynamic library. If ``True``, build a
2025-06-01T21:26:31.3976420Z         standalone executable.
2025-06-01T21:26:31.3976530Z 
2025-06-01T21:26:31.3976570Z Returns:
2025-06-01T21:26:31.3976700Z     If ``is_python_module`` is ``True``:
2025-06-01T21:26:31.3976930Z         Returns the loaded PyTorch extension as a Python module.
2025-06-01T21:26:31.3977100Z 
2025-06-01T21:26:31.3977230Z     If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``:
2025-06-01T21:26:31.3977550Z         Returns nothing. (The shared library is loaded into the process as
2025-06-01T21:26:31.3977790Z         a side effect.)
2025-06-01T21:26:31.3977880Z 
2025-06-01T21:26:31.3977940Z     If ``is_standalone`` is ``True``.
2025-06-01T21:26:31.3978180Z         Return the path to the executable. (On Windows, TORCH_LIB_PATH is
2025-06-01T21:26:31.3978480Z         added to the PATH environment variable as a side effect.)
2025-06-01T21:26:31.3978660Z 
2025-06-01T21:26:31.3978700Z Example:
2025-06-01T21:26:31.3978820Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:31.3978990Z     >>> from torch.utils.cpp_extension import load
2025-06-01T21:26:31.3979180Z     >>> module = load(
2025-06-01T21:26:31.3979320Z     ...     name='extension',
2025-06-01T21:26:31.3979520Z     ...     sources=['extension.cpp', 'extension_kernel.cu'],
2025-06-01T21:26:31.3979740Z     ...     extra_cflags=['-O2'],
2025-06-01T21:26:31.3979900Z     ...     verbose=True)
2025-06-01T21:26:31.3980000Z 
2025-06-01T21:26:31.3980150Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.3980370Z 
2025-06-01T21:26:31.3980770Z msg = Cannot scrape callname=load_inline in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1880.
2025-06-01T21:26:31.3981390Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.3981670Z 
2025-06-01T21:26:31.3981790Z Load a PyTorch C++ extension just-in-time (JIT) from string sources.
2025-06-01T21:26:31.3981980Z 
2025-06-01T21:26:31.3982120Z This function behaves exactly like :func:`load`, but takes its sources as
2025-06-01T21:26:31.3982450Z strings rather than filenames. These strings are stored to files in the
2025-06-01T21:26:31.3982760Z build directory, after which the behavior of :func:`load_inline` is
2025-06-01T21:26:31.3983010Z identical to :func:`load`.
2025-06-01T21:26:31.3983110Z 
2025-06-01T21:26:31.3983150Z See `the
2025-06-01T21:26:31.3983420Z tests <https://github.com/pytorch/pytorch/blob/master/test/test_cpp_extensions_jit.py>`_
2025-06-01T21:26:31.3983760Z for good examples of using this function.
2025-06-01T21:26:31.3983890Z 
2025-06-01T21:26:31.3984030Z Sources may omit two required parts of a typical non-inline C++ extension:
2025-06-01T21:26:31.3984360Z the necessary header includes, as well as the (pybind11) binding code. More
2025-06-01T21:26:31.3984700Z precisely, strings passed to ``cpp_sources`` are first concatenated into a
2025-06-01T21:26:31.3985010Z single ``.cpp`` file. This file is then prepended with ``#include
2025-06-01T21:26:31.3985230Z <torch/extension.h>``
2025-06-01T21:26:31.3985320Z 
2025-06-01T21:26:31.3985450Z Furthermore, if the ``functions`` argument is supplied, bindings will be
2025-06-01T21:26:31.3985800Z automatically generated for each function specified. ``functions`` can
2025-06-01T21:26:31.3986130Z either be a list of function names, or a dictionary mapping from function
2025-06-01T21:26:31.3986450Z names to docstrings. If a list is given, the name of each function is used
2025-06-01T21:26:31.3986690Z as its docstring.
2025-06-01T21:26:31.3986770Z 
2025-06-01T21:26:31.3986890Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu``
2025-06-01T21:26:31.3987170Z file and  prepended with ``torch/types.h``, ``cuda.h`` and
2025-06-01T21:26:31.3987460Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled
2025-06-01T21:26:31.3987770Z separately, but ultimately linked into a single library. Note that no
2025-06-01T21:26:31.3988090Z bindings are generated for functions in ``cuda_sources`` per se. To bind
2025-06-01T21:26:31.3988410Z to a CUDA kernel, you must create a C++ function that calls it, and either
2025-06-01T21:26:31.3988720Z declare or define this C++ function in one of the ``cpp_sources`` (and
2025-06-01T21:26:31.3988960Z include its name in ``functions``).
2025-06-01T21:26:31.3989080Z 
2025-06-01T21:26:31.3989210Z The sources in ``sycl_sources`` are concatenated into a separate ``.sycl``
2025-06-01T21:26:31.3989630Z file and  prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes.
2025-06-01T21:26:31.3989950Z The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately
2025-06-01T21:26:31.3990270Z linked into a single library. Note that no bindings are generated for
2025-06-01T21:26:31.3990590Z functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must
2025-06-01T21:26:31.3990900Z create a C++ function that calls it, and either declare or define this
2025-06-01T21:26:31.3991200Z C++ function in one of the ``cpp_sources`` (and include its name
2025-06-01T21:26:31.3991420Z in ``functions``).
2025-06-01T21:26:31.3991510Z 
2025-06-01T21:26:31.3991510Z 
2025-06-01T21:26:31.3991510Z 
2025-06-01T21:26:31.3991620Z See :func:`load` for a description of arguments omitted below.
2025-06-01T21:26:31.3991790Z 
2025-06-01T21:26:31.3991830Z Args:
2025-06-01T21:26:31.3992030Z     cpp_sources: A string, or list of strings, containing C++ source code.
2025-06-01T21:26:31.3992360Z     cuda_sources: A string, or list of strings, containing CUDA source code.
2025-06-01T21:26:31.3992690Z     sycl_sources: A string, or list of strings, containing SYCL source code.
2025-06-01T21:26:31.3993010Z     functions: A list of function names for which to generate function
2025-06-01T21:26:31.3993330Z         bindings. If a dictionary is given, it should map function names to
2025-06-01T21:26:31.3993670Z         docstrings (which are otherwise just the function names).
2025-06-01T21:26:31.3993980Z     with_cuda: Determines whether CUDA headers and libraries are added to
2025-06-01T21:26:31.3994280Z         the build. If set to ``None`` (default), this value is
2025-06-01T21:26:31.3994560Z         automatically determined based on whether ``cuda_sources`` is
2025-06-01T21:26:31.3994830Z         provided. Set it to ``True`` to force CUDA headers
2025-06-01T21:26:31.3995050Z         and libraries to be included.
2025-06-01T21:26:31.3995330Z     with_sycl: Determines whether SYCL headers and libraries are added to
2025-06-01T21:26:31.3995640Z         the build. If set to ``None`` (default), this value is
2025-06-01T21:26:31.3995920Z         automatically determined based on whether ``sycl_sources`` is
2025-06-01T21:26:31.3996200Z         provided. Set it to ``True`` to force SYCL headers
2025-06-01T21:26:31.3996420Z         and libraries to be included.
2025-06-01T21:26:31.3996660Z     with_pytorch_error_handling: Determines whether pytorch error and
2025-06-01T21:26:31.3996970Z         warning macros are handled by pytorch instead of pybind. To do
2025-06-01T21:26:31.3997280Z         this, each function ``foo`` is called via an intermediary ``_safe_foo``
2025-06-01T21:26:31.3997600Z         function. This redirection might cause issues in obscure cases
2025-06-01T21:26:31.3997960Z         of cpp. This flag should be set to ``False`` when this redirect
2025-06-01T21:26:31.3998190Z         causes issues.
2025-06-01T21:26:31.3998440Z     no_implicit_headers: If ``True``, skips automatically adding headers, most notably
2025-06-01T21:26:31.3998800Z         ``#include <torch/extension.h>`` and ``#include <torch/types.h>`` lines.
2025-06-01T21:26:31.3999100Z         Use this option to improve cold start times when you
2025-06-01T21:26:31.3999410Z         already include the necessary headers in your source code. Default: ``False``.
2025-06-01T21:26:31.3999640Z 
2025-06-01T21:26:31.3999680Z Example:
2025-06-01T21:26:31.3999830Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-06-01T21:26:31.4000080Z     >>> from torch.utils.cpp_extension import load_inline
2025-06-01T21:26:31.4000280Z     >>> source = """
2025-06-01T21:26:31.4000470Z     at::Tensor sin_add(at::Tensor x, at::Tensor y) {
2025-06-01T21:26:31.4000670Z       return x.sin() + y.sin();
2025-06-01T21:26:31.4000820Z     }
2025-06-01T21:26:31.4000920Z     """
2025-06-01T21:26:31.4001070Z     >>> module = load_inline(name='inline_extension',
2025-06-01T21:26:31.4001280Z     ...                      cpp_sources=[source],
2025-06-01T21:26:31.4001490Z     ...                      functions=['sin_add'])
2025-06-01T21:26:31.4001630Z 
2025-06-01T21:26:31.4001670Z .. note::
2025-06-01T21:26:31.4001880Z     Since load_inline will just-in-time compile the source code, please ensure
2025-06-01T21:26:31.4002220Z     that you have the right toolchains installed in the runtime. For example,
2025-06-01T21:26:31.4002560Z     when loading C++, make sure a C++ compiler is available. If you're loading
2025-06-01T21:26:31.4002900Z     a CUDA extension, you will need to additionally install the corresponding CUDA
2025-06-01T21:26:31.4003260Z     toolkit (nvcc and any other dependencies your code has). Compiling toolchains
2025-06-01T21:26:31.4003610Z     are not included when you install torch and must be additionally installed.
2025-06-01T21:26:31.4003810Z 
2025-06-01T21:26:31.4003970Z     During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build
2025-06-01T21:26:31.4004320Z     the extension. This may use up too many resources on some systems. One
2025-06-01T21:26:31.4004650Z     can control the number of workers by setting the `MAX_JOBS` environment
2025-06-01T21:26:31.4004910Z     variable to a non-negative number.
2025-06-01T21:26:31.4005040Z 
2025-06-01T21:26:31.4005190Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.4005480Z 
2025-06-01T21:26:31.4005920Z msg = Cannot scrape callname=DistributedSampler in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/distributed.py line=18.
2025-06-01T21:26:31.4006560Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:31.4006890Z Sampler that restricts data loading to a subset of the dataset.
2025-06-01T21:26:31.4007080Z 
2025-06-01T21:26:31.4007160Z     It is especially useful in conjunction with
2025-06-01T21:26:31.4007460Z     :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each
2025-06-01T21:26:31.4007880Z     process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a
2025-06-01T21:26:31.4008280Z     :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the
2025-06-01T21:26:31.4008550Z     original dataset that is exclusive to it.
2025-06-01T21:26:31.4008700Z 
2025-06-01T21:26:31.4008750Z     .. note::
2025-06-01T21:26:31.4008970Z         Dataset is assumed to be of constant size and that any instance of it always
2025-06-01T21:26:31.4009260Z         returns the same elements in the same order.
2025-06-01T21:26:31.4009400Z 
2025-06-01T21:26:31.4009440Z     Args:
2025-06-01T21:26:31.4009570Z         dataset: Dataset used for sampling.
2025-06-01T21:26:31.4009830Z         num_replicas (int, optional): Number of processes participating in
2025-06-01T21:26:31.4010210Z             distributed training. By default, :attr:`world_size` is retrieved from the
2025-06-01T21:26:31.4010490Z             current distributed group.
2025-06-01T21:26:31.4010770Z         rank (int, optional): Rank of the current process within :attr:`num_replicas`.
2025-06-01T21:26:31.4011100Z             By default, :attr:`rank` is retrieved from the current distributed
2025-06-01T21:26:31.4011330Z             group.
2025-06-01T21:26:31.4011550Z         shuffle (bool, optional): If ``True`` (default), sampler will shuffle the
2025-06-01T21:26:31.4011800Z             indices.
2025-06-01T21:26:31.4012000Z         seed (int, optional): random seed used to shuffle the sampler if
2025-06-01T21:26:31.4012310Z             :attr:`shuffle=True`. This number should be identical across all
2025-06-01T21:26:31.4012590Z             processes in the distributed group. Default: ``0``.
2025-06-01T21:26:31.4012890Z         drop_last (bool, optional): if ``True``, then the sampler will drop the
2025-06-01T21:26:31.4013210Z             tail of the data to make it evenly divisible across the number of
2025-06-01T21:26:31.4013520Z             replicas. If ``False``, the sampler will add extra indices to make
2025-06-01T21:26:31.4013830Z             the data evenly divisible across the replicas. Default: ``False``.
2025-06-01T21:26:31.4014020Z 
2025-06-01T21:26:31.4014060Z     .. warning::
2025-06-01T21:26:31.4014260Z         In distributed mode, calling the :meth:`set_epoch` method at
2025-06-01T21:26:31.4014580Z         the beginning of each epoch **before** creating the :class:`DataLoader` iterator
2025-06-01T21:26:31.4014940Z         is necessary to make shuffling work properly across multiple epochs. Otherwise,
2025-06-01T21:26:31.4015210Z         the same ordering will be always used.
2025-06-01T21:26:31.4015350Z 
2025-06-01T21:26:31.4015390Z     Example::
2025-06-01T21:26:31.4015460Z 
2025-06-01T21:26:31.4015510Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:31.4015740Z         >>> sampler = DistributedSampler(dataset) if is_distributed else None
2025-06-01T21:26:31.4016030Z         >>> loader = DataLoader(dataset, shuffle=(sampler is None),
2025-06-01T21:26:31.4016260Z         ...                     sampler=sampler)
2025-06-01T21:26:31.4016460Z         >>> for epoch in range(start_epoch, n_epochs):
2025-06-01T21:26:31.4016660Z         ...     if is_distributed:
2025-06-01T21:26:31.4016840Z         ...         sampler.set_epoch(epoch)
2025-06-01T21:26:31.4017020Z         ...     train(loader)
2025-06-01T21:26:31.4017160Z     
2025-06-01T21:26:31.4017350Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:31.4017590Z 
2025-06-01T21:26:32.1510070Z msg = Cannot scrape callname=assert_close in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_comparison.py line=1331.
2025-06-01T21:26:32.1510860Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:32.1511180Z Asserts that ``actual`` and ``expected`` are close.
2025-06-01T21:26:32.1511340Z 
2025-06-01T21:26:32.1511590Z     If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if
2025-06-01T21:26:32.1512010Z 
2025-06-01T21:26:32.1512120Z     .. math::
2025-06-01T21:26:32.1512200Z 
2025-06-01T21:26:32.1512440Z         \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert
2025-06-01T21:26:32.1512730Z 
2025-06-01T21:26:32.1512940Z     Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are
2025-06-01T21:26:32.1513350Z     only considered equal to each other if ``equal_nan`` is ``True``.
2025-06-01T21:26:32.1513550Z 
2025-06-01T21:26:32.1513680Z     In addition, they are only considered close if they have the same
2025-06-01T21:26:32.1518990Z 
2025-06-01T21:26:32.1519130Z     - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``),
2025-06-01T21:26:32.1519410Z     - ``dtype`` (if ``check_dtype`` is ``True``),
2025-06-01T21:26:32.1519780Z     - ``layout`` (if ``check_layout`` is ``True``), and
2025-06-01T21:26:32.1520010Z     - stride (if ``check_stride`` is ``True``).
2025-06-01T21:26:32.1520160Z 
2025-06-01T21:26:32.1520340Z     If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed.
2025-06-01T21:26:32.1520580Z 
2025-06-01T21:26:32.1520790Z     If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are
2025-06-01T21:26:32.1521290Z     checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR,
2025-06-01T21:26:32.1521720Z     or ``ccol_indices``  and ``row_indices`` for CSC and BSC layouts, respectively,
2025-06-01T21:26:32.1522160Z     are always checked for equality whereas the values are checked for closeness according to the definition above.
2025-06-01T21:26:32.1522450Z 
2025-06-01T21:26:32.1522620Z     If ``actual`` and ``expected`` are quantized, they are considered close if they have the same
2025-06-01T21:26:32.1523070Z     :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the
2025-06-01T21:26:32.1523400Z     definition above.
2025-06-01T21:26:32.1523500Z 
2025-06-01T21:26:32.1523690Z     ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which
2025-06-01T21:26:32.1524160Z     :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types
2025-06-01T21:26:32.1524660Z     have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s
2025-06-01T21:26:32.1525160Z     or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all
2025-06-01T21:26:32.1525580Z     their elements are considered close according to the above definition.
2025-06-01T21:26:32.1525780Z 
2025-06-01T21:26:32.1525840Z     .. note::
2025-06-01T21:26:32.1525910Z 
2025-06-01T21:26:32.1526110Z         Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e.
2025-06-01T21:26:32.1526560Z         :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus,
2025-06-01T21:26:32.1526980Z         Python scalars of different types can be checked, but require ``check_dtype=False``.
2025-06-01T21:26:32.1527210Z 
2025-06-01T21:26:32.1527260Z     Args:
2025-06-01T21:26:32.1527490Z         actual (Any): Actual input.
2025-06-01T21:26:32.1527680Z         expected (Any): Expected input.
2025-06-01T21:26:32.1528020Z         allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types
2025-06-01T21:26:32.1528390Z             are allowed. Otherwise type equality is required.
2025-06-01T21:26:32.1528760Z         rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default
2025-06-01T21:26:32.1529200Z             values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-06-01T21:26:32.1529660Z         atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default
2025-06-01T21:26:32.1530110Z             values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-06-01T21:26:32.1530490Z         equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal.
2025-06-01T21:26:32.1530880Z         check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same
2025-06-01T21:26:32.1531270Z             :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different
2025-06-01T21:26:32.1531630Z             :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared.
2025-06-01T21:26:32.1532040Z         check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this
2025-06-01T21:26:32.1532550Z             check is disabled, tensors with different ``dtype``'s are promoted  to a common ``dtype`` (according to
2025-06-01T21:26:32.1532910Z             :func:`torch.promote_types`) before being compared.
2025-06-01T21:26:32.1533290Z         check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this
2025-06-01T21:26:32.1533760Z             check is disabled, tensors with different ``layout``'s are converted to strided tensors before being
2025-06-01T21:26:32.1534050Z             compared.
2025-06-01T21:26:32.1534350Z         check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride.
2025-06-01T21:26:32.1534810Z         msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during
2025-06-01T21:26:32.1535270Z             the comparison. Can also passed as callable in which case it will be called with the generated message and
2025-06-01T21:26:32.1535590Z             should return the new message.
2025-06-01T21:26:32.1535720Z 
2025-06-01T21:26:32.1535760Z     Raises:
2025-06-01T21:26:32.1535960Z         ValueError: If no :class:`torch.Tensor` can be constructed from an input.
2025-06-01T21:26:32.1536260Z         ValueError: If only ``rtol`` or ``atol`` is specified.
2025-06-01T21:26:32.1536600Z         AssertionError: If corresponding inputs are not Python scalars and are not directly related.
2025-06-01T21:26:32.1537060Z         AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have
2025-06-01T21:26:32.1537380Z             different types.
2025-06-01T21:26:32.1537690Z         AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match.
2025-06-01T21:26:32.1538160Z         AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match.
2025-06-01T21:26:32.1538620Z         AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`.
2025-06-01T21:26:32.1539030Z         AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same
2025-06-01T21:26:32.1539460Z             :attr:`~torch.Tensor.layout`.
2025-06-01T21:26:32.1539730Z         AssertionError: If only one of corresponding tensors is quantized.
2025-06-01T21:26:32.1540160Z         AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s.
2025-06-01T21:26:32.1540670Z         AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same
2025-06-01T21:26:32.1541000Z             :attr:`~torch.Tensor.device`.
2025-06-01T21:26:32.1541330Z         AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``.
2025-06-01T21:26:32.1541800Z         AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride.
2025-06-01T21:26:32.1542280Z         AssertionError: If the values of corresponding tensors are not close according to the definition above.
2025-06-01T21:26:32.1542580Z 
2025-06-01T21:26:32.1542820Z     The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching
2025-06-01T21:26:32.1543190Z     ``dtype``'s, the maximum of both tolerances is used.
2025-06-01T21:26:32.1543340Z 
2025-06-01T21:26:32.1543430Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1543650Z     | ``dtype``                 | ``rtol``   | ``atol`` |
2025-06-01T21:26:32.1543860Z     +===========================+============+==========+
2025-06-01T21:26:32.1544080Z     | :attr:`~torch.float16`    | ``1e-3``   | ``1e-5`` |
2025-06-01T21:26:32.1544300Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1544520Z     | :attr:`~torch.bfloat16`   | ``1.6e-2`` | ``1e-5`` |
2025-06-01T21:26:32.1544740Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1545020Z     | :attr:`~torch.float32`    | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:32.1545240Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1545470Z     | :attr:`~torch.float64`    | ``1e-7``   | ``1e-7`` |
2025-06-01T21:26:32.1545690Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1545910Z     | :attr:`~torch.complex32`  | ``1e-3``   | ``1e-5`` |
2025-06-01T21:26:32.1546130Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1546370Z     | :attr:`~torch.complex64`  | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:32.1546590Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1546810Z     | :attr:`~torch.complex128` | ``1e-7``   | ``1e-7`` |
2025-06-01T21:26:32.1547030Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1547250Z     | :attr:`~torch.quint8`     | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:32.1547470Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1547680Z     | :attr:`~torch.quint2x4`   | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:32.1547900Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1548120Z     | :attr:`~torch.quint4x2`   | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:32.1548340Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1548560Z     | :attr:`~torch.qint8`      | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:32.1548830Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1549040Z     | :attr:`~torch.qint32`     | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:32.1549260Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1549470Z     | other                     | ``0.0``    | ``0.0``  |
2025-06-01T21:26:32.1549730Z     +---------------------------+------------+----------+
2025-06-01T21:26:32.1549880Z 
2025-06-01T21:26:32.1549930Z     .. note::
2025-06-01T21:26:32.1550000Z 
2025-06-01T21:26:32.1550230Z         :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged
2025-06-01T21:26:32.1550730Z         to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might
2025-06-01T21:26:32.1551160Z         define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default:
2025-06-01T21:26:32.1551380Z 
2025-06-01T21:26:32.1551430Z         >>> import functools
2025-06-01T21:26:32.1551740Z         >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0)
2025-06-01T21:26:32.1552020Z         >>> assert_equal(1e-9, 1e-10)
2025-06-01T21:26:32.1552210Z         Traceback (most recent call last):
2025-06-01T21:26:32.1552380Z         ...
2025-06-01T21:26:32.1552510Z         AssertionError: Scalars are not equal!
2025-06-01T21:26:32.1552690Z         <BLANKLINE>
2025-06-01T21:26:32.1552830Z         Expected 1e-10 but got 1e-09.
2025-06-01T21:26:32.1553030Z         Absolute difference: 9.000000000000001e-10
2025-06-01T21:26:32.1553230Z         Relative difference: 9.0
2025-06-01T21:26:32.1553340Z 
2025-06-01T21:26:32.1553440Z     Examples:
2025-06-01T21:26:32.1553610Z         >>> # tensor to tensor comparison
2025-06-01T21:26:32.1553820Z         >>> expected = torch.tensor([1e0, 1e-1, 1e-2])
2025-06-01T21:26:32.1554040Z         >>> actual = torch.acos(torch.cos(expected))
2025-06-01T21:26:32.1554260Z         >>> torch.testing.assert_close(actual, expected)
2025-06-01T21:26:32.1554420Z 
2025-06-01T21:26:32.1554480Z         >>> # scalar to scalar comparison
2025-06-01T21:26:32.1554650Z         >>> import math
2025-06-01T21:26:32.1554800Z         >>> expected = math.sqrt(2.0)
2025-06-01T21:26:32.1555000Z         >>> actual = 2.0 / math.sqrt(2.0)
2025-06-01T21:26:32.1555210Z         >>> torch.testing.assert_close(actual, expected)
2025-06-01T21:26:32.1555360Z 
2025-06-01T21:26:32.1555430Z         >>> # numpy array to numpy array comparison
2025-06-01T21:26:32.1555630Z         >>> import numpy as np
2025-06-01T21:26:32.1555840Z         >>> expected = np.array([1e0, 1e-1, 1e-2])
2025-06-01T21:26:32.1556060Z         >>> actual = np.arccos(np.cos(expected))
2025-06-01T21:26:32.1556280Z         >>> torch.testing.assert_close(actual, expected)
2025-06-01T21:26:32.1556430Z 
2025-06-01T21:26:32.1556500Z         >>> # sequence to sequence comparison
2025-06-01T21:26:32.1556690Z         >>> import numpy as np
2025-06-01T21:26:32.1556950Z         >>> # The types of the sequences do not have to match. They only have to have the same
2025-06-01T21:26:32.1557240Z         >>> # length and their elements have to match.
2025-06-01T21:26:32.1557480Z         >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)]
2025-06-01T21:26:32.1557700Z         >>> actual = tuple(expected)
2025-06-01T21:26:32.1557910Z         >>> torch.testing.assert_close(actual, expected)
2025-06-01T21:26:32.1558060Z 
2025-06-01T21:26:32.1558120Z         >>> # mapping to mapping comparison
2025-06-01T21:26:32.1558330Z         >>> from collections import OrderedDict
2025-06-01T21:26:32.1558520Z         >>> import numpy as np
2025-06-01T21:26:32.1558690Z         >>> foo = torch.tensor(1.0)
2025-06-01T21:26:32.1558850Z         >>> bar = 2.0
2025-06-01T21:26:32.1558990Z         >>> baz = np.array(3.0)
2025-06-01T21:26:32.1559250Z         >>> # The types and a possible ordering of mappings do not have to match. They only
2025-06-01T21:26:32.1559600Z         >>> # have to have the same set of keys and their elements have to match.
2025-06-01T21:26:32.1559910Z         >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)])
2025-06-01T21:26:32.1560190Z         >>> actual = {"baz": baz, "bar": bar, "foo": foo}
2025-06-01T21:26:32.1560420Z         >>> torch.testing.assert_close(actual, expected)
2025-06-01T21:26:32.1560570Z 
2025-06-01T21:26:32.1560650Z         >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-06-01T21:26:32.1560840Z         >>> actual = expected.clone()
2025-06-01T21:26:32.1561070Z         >>> # By default, directly related instances can be compared
2025-06-01T21:26:32.1561360Z         >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected)
2025-06-01T21:26:32.1561680Z         >>> # This check can be made more strict with allow_subclasses=False
2025-06-01T21:26:32.1561930Z         >>> torch.testing.assert_close(
2025-06-01T21:26:32.1562180Z         ...     torch.nn.Parameter(actual), expected, allow_subclasses=False
2025-06-01T21:26:32.1562410Z         ... )
2025-06-01T21:26:32.1562550Z         Traceback (most recent call last):
2025-06-01T21:26:32.1562750Z         ...
2025-06-01T21:26:32.1562940Z         TypeError: No comparison pair was able to handle inputs of type
2025-06-01T21:26:32.1563270Z         <class 'torch.nn.parameter.Parameter'> and <class 'torch.Tensor'>.
2025-06-01T21:26:32.1563600Z         >>> # If the inputs are not directly related, they are never considered close
2025-06-01T21:26:32.1563900Z         >>> torch.testing.assert_close(actual.numpy(), expected)
2025-06-01T21:26:32.1564140Z         Traceback (most recent call last):
2025-06-01T21:26:32.1564310Z         ...
2025-06-01T21:26:32.1564570Z         TypeError: No comparison pair was able to handle inputs of type <class 'numpy.ndarray'>
2025-06-01T21:26:32.1564890Z         and <class 'torch.Tensor'>.
2025-06-01T21:26:32.1565170Z         >>> # Exceptions to these rules are Python scalars. They can be checked regardless of
2025-06-01T21:26:32.1565460Z         >>> # their type if check_dtype=False.
2025-06-01T21:26:32.1565700Z         >>> torch.testing.assert_close(1.0, 1, check_dtype=False)
2025-06-01T21:26:32.1565870Z 
2025-06-01T21:26:32.1565930Z         >>> # NaN != NaN by default.
2025-06-01T21:26:32.1566120Z         >>> expected = torch.tensor(float("Nan"))
2025-06-01T21:26:32.1566320Z         >>> actual = expected.clone()
2025-06-01T21:26:32.1566530Z         >>> torch.testing.assert_close(actual, expected)
2025-06-01T21:26:32.1566740Z         Traceback (most recent call last):
2025-06-01T21:26:32.1566910Z         ...
2025-06-01T21:26:32.1567080Z         AssertionError: Scalars are not close!
2025-06-01T21:26:32.1567270Z         <BLANKLINE>
2025-06-01T21:26:32.1567410Z         Expected nan but got nan.
2025-06-01T21:26:32.1567610Z         Absolute difference: nan (up to 1e-05 allowed)
2025-06-01T21:26:32.1567840Z         Relative difference: nan (up to 1.3e-06 allowed)
2025-06-01T21:26:32.1568100Z         >>> torch.testing.assert_close(actual, expected, equal_nan=True)
2025-06-01T21:26:32.1568290Z 
2025-06-01T21:26:32.1568370Z         >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-06-01T21:26:32.1568580Z         >>> actual = torch.tensor([1.0, 4.0, 5.0])
2025-06-01T21:26:32.1568800Z         >>> # The default error message can be overwritten.
2025-06-01T21:26:32.1569120Z         >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!")
2025-06-01T21:26:32.1569420Z         Traceback (most recent call last):
2025-06-01T21:26:32.1569590Z         ...
2025-06-01T21:26:32.1569750Z         AssertionError: Argh, the tensors are not close!
2025-06-01T21:26:32.1570040Z         >>> # If msg is a callable, it can be used to augment the generated message with
2025-06-01T21:26:32.1570300Z         >>> # extra information
2025-06-01T21:26:32.1570470Z         >>> torch.testing.assert_close(
2025-06-01T21:26:32.1570730Z         ...     actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter"
2025-06-01T21:26:32.1570960Z         ... )
2025-06-01T21:26:32.1571090Z         Traceback (most recent call last):
2025-06-01T21:26:32.1571260Z         ...
2025-06-01T21:26:32.1571380Z         AssertionError: Header
2025-06-01T21:26:32.1571530Z         <BLANKLINE>
2025-06-01T21:26:32.1571660Z         Tensor-likes are not close!
2025-06-01T21:26:32.1571830Z         <BLANKLINE>
2025-06-01T21:26:32.1571970Z         Mismatched elements: 2 / 3 (66.7%)
2025-06-01T21:26:32.1572220Z         Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed)
2025-06-01T21:26:32.1572560Z         Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed)
2025-06-01T21:26:32.1572810Z         <BLANKLINE>
2025-06-01T21:26:32.1572930Z         Footer
2025-06-01T21:26:32.1573040Z     
2025-06-01T21:26:32.1573250Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:32.9327000Z 
2025-06-01T21:26:32.9327570Z msg = Cannot scrape callname=triton_op in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/triton.py line=21.
2025-06-01T21:26:32.9328460Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:32.9328860Z Create a custom operator whose implementation is backed by 1+ triton kernels.
2025-06-01T21:26:32.9329090Z 
2025-06-01T21:26:32.9329220Z     This is a more structured way of using triton kernels with PyTorch.
2025-06-01T21:26:32.9329590Z     Prefer using triton kernels with no ``torch.library`` custom operator wrappers
2025-06-01T21:26:32.9329980Z     (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because
2025-06-01T21:26:32.9330260Z     that is simpler;
2025-06-01T21:26:32.9330570Z     only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you
2025-06-01T21:26:32.9330990Z     want to create an operator that behaves like PyTorch built-in operators.
2025-06-01T21:26:32.9331330Z     For example, you may use a ``torch.library`` wrapper API to define the
2025-06-01T21:26:32.9331660Z     behavior of the triton kernel when passed a tensor subclass or under
2025-06-01T21:26:32.9331920Z     a TorchDispatchMode.
2025-06-01T21:26:32.9332030Z 
2025-06-01T21:26:32.9332190Z     Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op`
2025-06-01T21:26:32.9332460Z     when the implementation
2025-06-01T21:26:32.9332710Z     consists of 1+ triton kernels. :func:`torch.library.custom_op` treats
2025-06-01T21:26:32.9333020Z     custom operators as opaque (:func:`torch.compile` and
2025-06-01T21:26:32.9333420Z     :func:`torch.export.export` will never trace into them), but ``triton_op``
2025-06-01T21:26:32.9333770Z     makes the implementation visible to these subsystems, allowing them
2025-06-01T21:26:32.9334020Z     to optimize the triton kernel(s).
2025-06-01T21:26:32.9334150Z 
2025-06-01T21:26:32.9334260Z     Note that ``fn`` must only consist of calls to PyTorch-understood
2025-06-01T21:26:32.9334570Z     operators and triton kernels. Any triton kernels called inside ``fn``
2025-06-01T21:26:32.9334880Z     must be wrapped in a call to :func:`torch.library.wrap_triton`.
2025-06-01T21:26:32.9335050Z 
2025-06-01T21:26:32.9335090Z     Args:
2025-06-01T21:26:32.9335310Z         name (str): A name for the custom op that looks like "{namespace}::{name}",
2025-06-01T21:26:32.9335640Z             e.g. "mylib::my_linear". The name is used as the op's stable identifier
2025-06-01T21:26:32.9335930Z             in PyTorch subsystems (e.g. torch.export, FX graphs).
2025-06-01T21:26:32.9336270Z             To avoid name collisions, please use your project name as the namespace;
2025-06-01T21:26:32.9336590Z             e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace.
2025-06-01T21:26:32.9336940Z         mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates.
2025-06-01T21:26:32.9337310Z             This MUST be accurate, otherwise, the behavior is undefined. If "unknown",
2025-06-01T21:26:32.9337660Z             it pessimistically assumes that all inputs to the operator are being mutated.
2025-06-01T21:26:32.9337990Z         schema (None | str): A schema string for the operator. If None
2025-06-01T21:26:32.9338290Z             (recommended) we'll infer a schema for the operator from its type
2025-06-01T21:26:32.9338590Z             annotations. We recommend letting us infer a schema unless you
2025-06-01T21:26:32.9338830Z             have a specific reason not to.
2025-06-01T21:26:32.9339050Z             Example: "(Tensor x, int y) -> (Tensor, Tensor)".
2025-06-01T21:26:32.9339210Z 
2025-06-01T21:26:32.9339250Z     Example::
2025-06-01T21:26:32.9339330Z 
2025-06-01T21:26:32.9339520Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-06-01T21:26:32.9339730Z         >>> import torch
2025-06-01T21:26:32.9339920Z         >>> from torch.library import triton_op, wrap_triton
2025-06-01T21:26:32.9340120Z         >>>
2025-06-01T21:26:32.9340250Z         >>> import triton
2025-06-01T21:26:32.9340470Z         >>> from triton import language as tl
2025-06-01T21:26:32.9340640Z         >>>
2025-06-01T21:26:32.9340800Z         >>> @triton.jit
2025-06-01T21:26:32.9340940Z         >>> def add_kernel(
2025-06-01T21:26:32.9341090Z         >>>     in_ptr0,
2025-06-01T21:26:32.9341230Z         >>>     in_ptr1,
2025-06-01T21:26:32.9341360Z         >>>     out_ptr,
2025-06-01T21:26:32.9341500Z         >>>     n_elements,
2025-06-01T21:26:32.9341660Z         >>>     BLOCK_SIZE: "tl.constexpr",
2025-06-01T21:26:32.9341830Z         >>> ):
2025-06-01T21:26:32.9341990Z         >>>     pid = tl.program_id(axis=0)
2025-06-01T21:26:32.9342180Z         >>>     block_start = pid * BLOCK_SIZE
2025-06-01T21:26:32.9342420Z         >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-06-01T21:26:32.9342660Z         >>>     mask = offsets < n_elements
2025-06-01T21:26:32.9347620Z         >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-06-01T21:26:32.9347840Z         >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-06-01T21:26:32.9348040Z         >>>     output = x + y
2025-06-01T21:26:32.9348230Z         >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-06-01T21:26:32.9348430Z         >>>
2025-06-01T21:26:32.9348580Z         >>> @triton_op("mylib::add", mutates_args={})
2025-06-01T21:26:32.9348830Z         >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
2025-06-01T21:26:32.9349080Z         >>>     output = torch.empty_like(x)
2025-06-01T21:26:32.9349270Z         >>>     n_elements = output.numel()
2025-06-01T21:26:32.9349440Z         >>>
2025-06-01T21:26:32.9349560Z         >>>     def grid(meta):
2025-06-01T21:26:32.9349850Z         >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-06-01T21:26:32.9350070Z         >>>
2025-06-01T21:26:32.9350250Z         >>>     # NB: we need to wrap the triton kernel in a call to wrap_triton
2025-06-01T21:26:32.9350540Z         >>>     wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16)
2025-06-01T21:26:32.9350770Z         >>>     return output
2025-06-01T21:26:32.9350920Z         >>>
2025-06-01T21:26:32.9351030Z         >>> @torch.compile
2025-06-01T21:26:32.9351170Z         >>> def f(x, y):
2025-06-01T21:26:32.9351330Z         >>>     return add(x, y)
2025-06-01T21:26:32.9351470Z         >>>
2025-06-01T21:26:32.9351600Z         >>> x = torch.randn(3, device="cuda")
2025-06-01T21:26:32.9351790Z         >>> y = torch.randn(3, device="cuda")
2025-06-01T21:26:32.9351970Z         >>>
2025-06-01T21:26:32.9352070Z         >>> z = f(x, y)
2025-06-01T21:26:32.9352220Z         >>> assert torch.allclose(z, x + y)
2025-06-01T21:26:32.9352350Z 
2025-06-01T21:26:32.9352390Z     
2025-06-01T21:26:32.9352600Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:32.9352810Z 
2025-06-01T21:26:32.9353210Z msg = Cannot scrape callname=wrap_triton in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/triton.py line=202.
2025-06-01T21:26:32.9353820Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:32.9354160Z Allows capture of a triton kernel into a graph via make_fx or
2025-06-01T21:26:32.9354400Z     non-strict ``torch.export``.
2025-06-01T21:26:32.9354510Z 
2025-06-01T21:26:32.9354610Z     These technologies perform Dispatcher-based tracing (via
2025-06-01T21:26:32.9354890Z     ``__torch_dispatch__``) and cannot see calls to raw triton kernels.
2025-06-01T21:26:32.9355190Z     The ``wrap_triton`` API wraps a triton kernel into a callable that
2025-06-01T21:26:32.9355430Z     can actually be traced into a graph.
2025-06-01T21:26:32.9355560Z 
2025-06-01T21:26:32.9355690Z     Please use this API together with :func:`torch.library.triton_op`.
2025-06-01T21:26:32.9355870Z 
2025-06-01T21:26:32.9355910Z     Examples:
2025-06-01T21:26:32.9355980Z 
2025-06-01T21:26:32.9356040Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:32.9356180Z         >>> import torch
2025-06-01T21:26:32.9356320Z         >>> import triton
2025-06-01T21:26:32.9356470Z         >>> from triton import language as tl
2025-06-01T21:26:32.9356750Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-06-01T21:26:32.9356990Z         >>> from torch.library import wrap_triton
2025-06-01T21:26:32.9357170Z         >>>
2025-06-01T21:26:32.9357270Z         >>> @triton.jit
2025-06-01T21:26:32.9357400Z         >>> def add_kernel(
2025-06-01T21:26:32.9357540Z         >>>     in_ptr0,
2025-06-01T21:26:32.9357670Z         >>>     in_ptr1,
2025-06-01T21:26:32.9357800Z         >>>     out_ptr,
2025-06-01T21:26:32.9357940Z         >>>     n_elements,
2025-06-01T21:26:32.9358090Z         >>>     BLOCK_SIZE: "tl.constexpr",
2025-06-01T21:26:32.9358250Z         >>> ):
2025-06-01T21:26:32.9358580Z         >>>     pid = tl.program_id(axis=0)
2025-06-01T21:26:32.9358840Z         >>>     block_start = pid * BLOCK_SIZE
2025-06-01T21:26:32.9359060Z         >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-06-01T21:26:32.9359280Z         >>>     mask = offsets < n_elements
2025-06-01T21:26:32.9359470Z         >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-06-01T21:26:32.9359680Z         >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-06-01T21:26:32.9359870Z         >>>     output = x + y
2025-06-01T21:26:32.9360060Z         >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-06-01T21:26:32.9360240Z         >>>
2025-06-01T21:26:32.9360350Z         >>> def add(x, y):
2025-06-01T21:26:32.9360510Z         >>>     output = torch.empty_like(x)
2025-06-01T21:26:32.9360700Z         >>>     n_elements = output.numel()
2025-06-01T21:26:32.9361020Z         >>>
2025-06-01T21:26:32.9361140Z         >>>     def grid_fn(meta):
2025-06-01T21:26:32.9361370Z         >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-06-01T21:26:32.9361590Z         >>>
2025-06-01T21:26:32.9361770Z         >>>     wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16)
2025-06-01T21:26:32.9362010Z         >>>     return output
2025-06-01T21:26:32.9362150Z         >>>
2025-06-01T21:26:32.9362280Z         >>> x = torch.randn(3, device="cuda")
2025-06-01T21:26:32.9362480Z         >>> y = torch.randn(3, device="cuda")
2025-06-01T21:26:32.9362670Z         >>> gm = make_fx(add)(x, y)
2025-06-01T21:26:32.9362840Z         >>> print(gm.code)
2025-06-01T21:26:32.9362990Z         >>> # def forward(self, x_1, y_1):
2025-06-01T21:26:32.9363260Z         >>> #     empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False)
2025-06-01T21:26:32.9363610Z         >>> #     triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation(
2025-06-01T21:26:32.9363910Z         >>> #         kernel_idx = 0, constant_args_idx = 0,
2025-06-01T21:26:32.9364130Z         >>> #         grid = [(1, 1, 1)], kwargs = {
2025-06-01T21:26:32.9364370Z         >>> #             'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like,
2025-06-01T21:26:32.9364600Z         >>> #             'n_elements': 3, 'BLOCK_SIZE': 16
2025-06-01T21:26:32.9364790Z         >>> #         })
2025-06-01T21:26:32.9364940Z         >>> #     return empty_like
2025-06-01T21:26:32.9365060Z 
2025-06-01T21:26:32.9365100Z     
2025-06-01T21:26:32.9365310Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:32.9365520Z 
2025-06-01T21:26:32.9365960Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/fake_profile.py line=94.
2025-06-01T21:26:32.9366620Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:32.9366830Z 
2025-06-01T21:26:32.9366970Z Registers a fake kernel based on the given operator profiles. This fake
2025-06-01T21:26:32.9367320Z kernel registration will override any existing fake kernel registrations.
2025-06-01T21:26:32.9367530Z 
2025-06-01T21:26:32.9367660Z The input is a dictionary mapping operator names to a set of operator
2025-06-01T21:26:32.9367990Z profiles, which we will use to generate fake kernels. The operator profiles
2025-06-01T21:26:32.9368310Z are a record of the input and output tensor metadata. Based on this
2025-06-01T21:26:32.9368680Z information we will match a given input to the recorded profile, and return
2025-06-01T21:26:32.9369020Z an output with the same metadata as in the recorded profile. If a profile
2025-06-01T21:26:32.9369300Z doesn't exist then an exception will be thrown.
2025-06-01T21:26:32.9369440Z 
2025-06-01T21:26:32.9369580Z The fake kernel generation is considerd unsafe because it relies on the
2025-06-01T21:26:32.9369920Z rigid, pre-defined operator profiles that do not account for potential
2025-06-01T21:26:32.9370310Z variations in output behavior. Specifically, the generated kernels assume a
2025-06-01T21:26:32.9370690Z fixed relationship between input and output ranks. However, in reality, it's
2025-06-01T21:26:32.9371050Z possible that data-dependent operations may produce outputs of different
2025-06-01T21:26:32.9371380Z ranks even when given inputs of the same rank. The generated fake kernels
2025-06-01T21:26:32.9371710Z are inflexible and unable to accommodate these nuances, making them
2025-06-01T21:26:32.9371950Z potentially unsafe.
2025-06-01T21:26:32.9372030Z 
2025-06-01T21:26:32.9372070Z Args:
2025-06-01T21:26:32.9372260Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-06-01T21:26:32.9372580Z         name to a set of operator profiles from which we will generate fake
2025-06-01T21:26:32.9372810Z         kernels.
2025-06-01T21:26:32.9372890Z 
2025-06-01T21:26:32.9372940Z Examples:
2025-06-01T21:26:32.9373000Z 
2025-06-01T21:26:32.9373140Z     >>> # Example: Registering an op-profile from draft-export
2025-06-01T21:26:32.9373360Z     >>> import torch
2025-06-01T21:26:32.9373550Z     >>> from torch.export._draft_export import draft_export
2025-06-01T21:26:32.9373750Z     >>>
2025-06-01T21:26:32.9373920Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-06-01T21:26:32.9374160Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-06-01T21:26:32.9374350Z     >>>     return x + y
2025-06-01T21:26:32.9374480Z     >>>
2025-06-01T21:26:32.9374600Z     >>> class M(torch.nn.Module):
2025-06-01T21:26:32.9374770Z     >>>     def forward(self, a, b):
2025-06-01T21:26:32.9374980Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-06-01T21:26:32.9375180Z     >>>         return res
2025-06-01T21:26:32.9375310Z     >>>
2025-06-01T21:26:32.9375480Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-06-01T21:26:32.9375680Z     >>>
2025-06-01T21:26:32.9375920Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-06-01T21:26:32.9376230Z     >>>     decomp = ep.run_decompositions()
2025-06-01T21:26:32.9376370Z 
2025-06-01T21:26:32.9376370Z 
2025-06-01T21:26:32.9376510Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:32.9668040Z 
2025-06-01T21:26:32.9668650Z msg = Cannot scrape callname=Conv1d in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=354.
2025-06-01T21:26:32.9669310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:32.9669670Z Applies a 1D convolution over a quantized input signal composed of
2025-06-01T21:26:32.9669930Z     several quantized input planes.
2025-06-01T21:26:32.9670050Z 
2025-06-01T21:26:32.9670210Z     For details on input arguments, parameters, and implementation see
2025-06-01T21:26:32.9670450Z     :class:`~torch.nn.Conv1d`.
2025-06-01T21:26:32.9670560Z 
2025-06-01T21:26:32.9670610Z     .. note::
2025-06-01T21:26:32.9670790Z         Only `zeros` is supported for the :attr:`padding_mode` argument.
2025-06-01T21:26:32.9670980Z 
2025-06-01T21:26:32.9671030Z     .. note::
2025-06-01T21:26:32.9671200Z         Only `torch.quint8` is supported for the input data type.
2025-06-01T21:26:32.9671370Z 
2025-06-01T21:26:32.9671370Z 
2025-06-01T21:26:32.9671420Z     Attributes:
2025-06-01T21:26:32.9671620Z         weight (Tensor):     packed tensor derived from the learnable weight
2025-06-01T21:26:32.9671970Z                              parameter.
2025-06-01T21:26:32.9672170Z         scale (Tensor):      scalar for the output scale
2025-06-01T21:26:32.9672410Z         zero_point (Tensor): scalar for the output zero point
2025-06-01T21:26:32.9672570Z 
2025-06-01T21:26:32.9672660Z     See :class:`~torch.nn.Conv1d` for other attributes.
2025-06-01T21:26:32.9672810Z 
2025-06-01T21:26:32.9672860Z     Examples::
2025-06-01T21:26:32.9672930Z 
2025-06-01T21:26:32.9673020Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE)
2025-06-01T21:26:32.9673300Z         >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2)
2025-06-01T21:26:32.9673530Z         >>> input = torch.randn(20, 16, 100)
2025-06-01T21:26:32.9673720Z         >>> # quantize input to quint8
2025-06-01T21:26:32.9673880Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:32.9674120Z         >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0,
2025-06-01T21:26:32.9674460Z         ...                                     dtype=torch.quint8)
2025-06-01T21:26:32.9674670Z         >>> output = m(q_input)
2025-06-01T21:26:32.9674780Z 
2025-06-01T21:26:32.9674820Z     
2025-06-01T21:26:32.9675030Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:32.9675250Z 
2025-06-01T21:26:32.9675700Z msg = Cannot scrape callname=LSTM in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=11.
2025-06-01T21:26:32.9676320Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:32.9676610Z A quantized long short-term memory (LSTM).
2025-06-01T21:26:32.9676740Z 
2025-06-01T21:26:32.9676900Z     For the description and the argument types, please, refer to :class:`~torch.nn.LSTM`
2025-06-01T21:26:32.9677120Z 
2025-06-01T21:26:32.9677170Z     Attributes:
2025-06-01T21:26:32.9677310Z         layers : instances of the `_LSTMLayer`
2025-06-01T21:26:32.9677450Z 
2025-06-01T21:26:32.9677490Z     .. note::
2025-06-01T21:26:32.9677680Z         To access the weights and biases, you need to access them per layer.
2025-06-01T21:26:32.9677980Z         See examples in :class:`~torch.ao.nn.quantizable.LSTM`
2025-06-01T21:26:32.9678140Z 
2025-06-01T21:26:32.9678180Z     Examples::
2025-06-01T21:26:32.9678300Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:32.9678460Z         >>> custom_module_config = {
2025-06-01T21:26:32.9678650Z         ...     'float_to_observed_custom_module_class': {
2025-06-01T21:26:32.9678870Z         ...         nn.LSTM: nn.quantizable.LSTM,
2025-06-01T21:26:32.9679040Z         ...     },
2025-06-01T21:26:32.9679210Z         ...     'observed_to_quantized_custom_module_class': {
2025-06-01T21:26:32.9679440Z         ...         nn.quantizable.LSTM: nn.quantized.LSTM,
2025-06-01T21:26:32.9679630Z         ...     }
2025-06-01T21:26:32.9679740Z         ... }
2025-06-01T21:26:32.9679940Z         >>> tq.prepare(model, prepare_custom_module_class=custom_module_config)
2025-06-01T21:26:32.9680250Z         >>> tq.convert(model, convert_custom_module_class=custom_module_config)
2025-06-01T21:26:32.9680480Z     
2025-06-01T21:26:32.9680680Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:32.9680890Z 
2025-06-01T21:26:32.9681350Z msg = Cannot scrape callname=DTypeConfig in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181.
2025-06-01T21:26:32.9682060Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:32.9682290Z 
2025-06-01T21:26:32.9682440Z Config object that specifies the supported data types passed as arguments to
2025-06-01T21:26:32.9682800Z quantize ops in the reference model spec, for input and output activations,
2025-06-01T21:26:32.9683060Z weights, and biases.
2025-06-01T21:26:32.9683140Z 
2025-06-01T21:26:32.9683280Z For example, consider the following reference model:
2025-06-01T21:26:32.9683440Z 
2025-06-01T21:26:32.9683540Z   quant1 - [dequant1 - fp32_linear - quant2] - dequant2
2025-06-01T21:26:32.9683690Z 
2025-06-01T21:26:32.9683830Z The pattern in the square brackets refers to the reference pattern of
2025-06-01T21:26:32.9684140Z statically quantized linear. Setting the input dtype as `torch.quint8`
2025-06-01T21:26:32.9684470Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument
2025-06-01T21:26:32.9684790Z to the first quantize op (quant1). Similarly, setting the output dtype as
2025-06-01T21:26:32.9685130Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to
2025-06-01T21:26:32.9685400Z the second quantize op (quant2).
2025-06-01T21:26:32.9685520Z 
2025-06-01T21:26:32.9685650Z Note that the dtype here does not refer to the interface dtypes of the
2025-06-01T21:26:32.9685960Z op. For example, the "input dtype" here is not the dtype of the input
2025-06-01T21:26:32.9686260Z tensor passed to the quantized linear op. Though it can still be the
2025-06-01T21:26:32.9686560Z same as the interface dtype, this is not always the case, e.g. the
2025-06-01T21:26:32.9686860Z interface dtype is fp32 in dynamic quantization but the "input dtype"
2025-06-01T21:26:32.9687160Z specified in the DTypeConfig would still be quint8. The semantics of
2025-06-01T21:26:32.9687470Z dtypes here are the same as the semantics of the dtypes specified in
2025-06-01T21:26:32.9687690Z the observers.
2025-06-01T21:26:32.9687830Z 
2025-06-01T21:26:32.9687950Z These dtypes are matched against the ones specified in the user's
2025-06-01T21:26:32.9688260Z QConfig. If there is a match, and the QConfig satisfies the constraints
2025-06-01T21:26:32.9688580Z specified in the DTypeConfig (if any), then we will quantize the given
2025-06-01T21:26:32.9688890Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and
2025-06-01T21:26:32.9689140Z the pattern will not be quantized.
2025-06-01T21:26:32.9689350Z 
2025-06-01T21:26:32.9689390Z Example usage::
2025-06-01T21:26:32.9689470Z 
2025-06-01T21:26:32.9689530Z     >>> # xdoctest: +SKIP(failing)
2025-06-01T21:26:32.9689710Z     >>> dtype_config1 = DTypeConfig(
2025-06-01T21:26:32.9689900Z     ...     input_dtype=torch.quint8,
2025-06-01T21:26:32.9690090Z     ...     output_dtype=torch.quint8,
2025-06-01T21:26:32.9690270Z     ...     weight_dtype=torch.qint8,
2025-06-01T21:26:32.9690440Z     ...     bias_dtype=torch.float)
2025-06-01T21:26:32.9690560Z 
2025-06-01T21:26:32.9690620Z     >>> dtype_config2 = DTypeConfig(
2025-06-01T21:26:32.9690810Z     ...     input_dtype=DTypeWithConstraints(
2025-06-01T21:26:32.9691000Z     ...         dtype=torch.quint8,
2025-06-01T21:26:32.9691180Z     ...         quant_min_lower_bound=0,
2025-06-01T21:26:32.9691360Z     ...         quant_max_upper_bound=255,
2025-06-01T21:26:32.9691520Z     ...     ),
2025-06-01T21:26:32.9691650Z     ...     output_dtype=DTypeWithConstraints(
2025-06-01T21:26:32.9691840Z     ...         dtype=torch.quint8,
2025-06-01T21:26:32.9692010Z     ...         quant_min_lower_bound=0,
2025-06-01T21:26:32.9692190Z     ...         quant_max_upper_bound=255,
2025-06-01T21:26:32.9692350Z     ...     ),
2025-06-01T21:26:32.9692480Z     ...     weight_dtype=DTypeWithConstraints(
2025-06-01T21:26:32.9692670Z     ...         dtype=torch.qint8,
2025-06-01T21:26:32.9692840Z     ...         quant_min_lower_bound=-128,
2025-06-01T21:26:32.9693020Z     ...         quant_max_upper_bound=127,
2025-06-01T21:26:32.9693180Z     ...     ),
2025-06-01T21:26:32.9693300Z     ...     bias_dtype=torch.float)
2025-06-01T21:26:32.9693410Z 
2025-06-01T21:26:32.9693470Z     >>> dtype_config1.input_dtype
2025-06-01T21:26:32.9693630Z     torch.quint8
2025-06-01T21:26:32.9693700Z 
2025-06-01T21:26:32.9693760Z     >>> dtype_config2.input_dtype
2025-06-01T21:26:32.9693910Z     torch.quint8
2025-06-01T21:26:32.9693990Z 
2025-06-01T21:26:32.9694060Z     >>> dtype_config2.input_dtype_with_constraints
2025-06-01T21:26:32.9694500Z     DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None)
2025-06-01T21:26:32.9694910Z 
2025-06-01T21:26:32.9695060Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:32.9695270Z 
2025-06-01T21:26:32.9695850Z msg = Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301.
2025-06-01T21:26:32.9696760Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:32.9697030Z 
2025-06-01T21:26:32.9697190Z Takes in optional filter values and generates two tables with desired information.
2025-06-01T21:26:32.9697430Z 
2025-06-01T21:26:32.9697550Z The generated tables are presented in both a list-of-lists format
2025-06-01T21:26:32.9697750Z 
2025-06-01T21:26:32.9697870Z The reason for the two tables are that they handle different things:
2025-06-01T21:26:32.9698160Z 1.) the first table handles all tensor level information
2025-06-01T21:26:32.9698440Z 2.) the second table handles and displays all channel based information
2025-06-01T21:26:32.9698630Z 
2025-06-01T21:26:32.9698820Z The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-06-01T21:26:32.9699300Z     statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-06-01T21:26:32.9699770Z     tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-06-01T21:26:32.9700050Z 
2025-06-01T21:26:32.9700100Z Tensor table columns:
2025-06-01T21:26:32.9700300Z     idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-06-01T21:26:32.9700590Z     ----  ---------  ---------   ---------   ---------        ---------
2025-06-01T21:26:32.9700750Z 
2025-06-01T21:26:32.9700810Z Per-Channel table columns:
2025-06-01T21:26:32.9701040Z     idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-06-01T21:26:32.9701340Z     ----  ---------  -------  ---------   ---------   ---------        ---------
2025-06-01T21:26:32.9701520Z 
2025-06-01T21:26:32.9701550Z Args:
2025-06-01T21:26:32.9701780Z     feature_filter (str, optional): Filters the features presented to only those that
2025-06-01T21:26:32.9702060Z         contain this filter substring
2025-06-01T21:26:32.9702280Z         Default = "", results in all the features being printed
2025-06-01T21:26:32.9702610Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-06-01T21:26:32.9702980Z         Default = "", results in all the modules in the reports to be visible in the table
2025-06-01T21:26:32.9703190Z 
2025-06-01T21:26:32.9703250Z Returns a dictionary with two keys:
2025-06-01T21:26:32.9703480Z     (Dict[str, Tuple[List, List]]) A dict containing two keys:
2025-06-01T21:26:32.9703750Z     "tensor_level_info", "channel_level_info"
2025-06-01T21:26:32.9707940Z         Each key maps to a tuple with:
2025-06-01T21:26:32.9708140Z             A list of the headers of each table
2025-06-01T21:26:32.9708400Z             A list of lists containing the table information row by row
2025-06-01T21:26:32.9708680Z             The 0th index row will contain the headers of the columns
2025-06-01T21:26:32.9708920Z             The rest of the rows will contain data
2025-06-01T21:26:32.9709060Z 
2025-06-01T21:26:32.9709110Z Example Use:
2025-06-01T21:26:32.9709260Z     >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:32.9709480Z     >>> mod_report_visualizer.generate_filtered_tables(
2025-06-01T21:26:32.9709710Z     ...     feature_filter = "per_channel_min",
2025-06-01T21:26:32.9709910Z     ...     module_fqn_filter = "block1"
2025-06-01T21:26:32.9710200Z     ... ) # generates table with per_channel_min info for all modules in block 1 of the model
2025-06-01T21:26:32.9710510Z 
2025-06-01T21:26:32.9710660Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:33.4604880Z 
2025-06-01T21:26:33.4605720Z msg = Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=400.
2025-06-01T21:26:33.4606620Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:33.4606860Z 
2025-06-01T21:26:33.4607170Z Takes in optional filter values and prints out formatted tables of the information.
2025-06-01T21:26:33.4607460Z 
2025-06-01T21:26:33.4607670Z The reason for the two tables printed out instead of one large one are that they handle different things:
2025-06-01T21:26:33.4608100Z 1.) the first table handles all tensor level information
2025-06-01T21:26:33.4608380Z 2.) the second table handles and displays all channel based information
2025-06-01T21:26:33.4608570Z 
2025-06-01T21:26:33.4608770Z The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-06-01T21:26:33.4609210Z     statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-06-01T21:26:33.4609660Z     tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-06-01T21:26:33.4609930Z 
2025-06-01T21:26:33.4609980Z Tensor table columns:
2025-06-01T21:26:33.4610290Z  idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-06-01T21:26:33.4610570Z ----  ---------  ---------   ---------   ---------        ---------
2025-06-01T21:26:33.4610740Z 
2025-06-01T21:26:33.4610790Z Per-Channel table columns:
2025-06-01T21:26:33.4610900Z 
2025-06-01T21:26:33.4611030Z  idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-06-01T21:26:33.4611320Z ----  ---------  -------  ---------   ---------   ---------        ---------
2025-06-01T21:26:33.4611490Z 
2025-06-01T21:26:33.4611530Z Args:
2025-06-01T21:26:33.4611750Z     feature_filter (str, optional): Filters the features presented to only those that
2025-06-01T21:26:33.4612030Z         contain this filter substring
2025-06-01T21:26:33.4612240Z         Default = "", results in all the features being printed
2025-06-01T21:26:33.4612560Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-06-01T21:26:33.4612920Z         Default = "", results in all the modules in the reports to be visible in the table
2025-06-01T21:26:33.4613120Z 
2025-06-01T21:26:33.4613160Z Example Use:
2025-06-01T21:26:33.4613310Z     >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:33.4613660Z     >>> mod_report_visualizer.generate_table_visualization(
2025-06-01T21:26:33.4613900Z     ...     feature_filter = "per_channel_min",
2025-06-01T21:26:33.4614110Z     ...     module_fqn_filter = "block1"
2025-06-01T21:26:33.4614290Z     ... )
2025-06-01T21:26:33.4614470Z     >>> # prints out neatly formatted table with per_channel_min info
2025-06-01T21:26:33.4614730Z     >>> # for all modules in block 1 of the model
2025-06-01T21:26:33.4614860Z 
2025-06-01T21:26:33.4615010Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:33.4615210Z 
2025-06-01T21:26:33.4615810Z msg = Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=566.
2025-06-01T21:26:33.4616600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:33.4616810Z 
2025-06-01T21:26:33.4616950Z Takes in a feature and optional module_filter and plots of the desired data.
2025-06-01T21:26:33.4617150Z 
2025-06-01T21:26:33.4617310Z For per channel features, it averages the value across the channels and plots a point
2025-06-01T21:26:33.4617790Z per module. The reason for this is that for models with hundreds of channels, it can
2025-06-01T21:26:33.4618160Z be hard to differentiate one channel line from another, and so the point of generating
2025-06-01T21:26:33.4618540Z a single average point per module is to give a sense of general trends that encourage
2025-06-01T21:26:33.4618790Z further deep dives.
2025-06-01T21:26:33.4618880Z 
2025-06-01T21:26:33.4618920Z Note:
2025-06-01T21:26:33.4619130Z     Only features in the report that have tensor value data are plottable by this class
2025-06-01T21:26:33.4619440Z     When the tensor information is plotted, it will plot:
2025-06-01T21:26:33.4619710Z         idx as the x val, feature value as the y_val
2025-06-01T21:26:33.4619970Z     When the channel information is plotted, it will plot:
2025-06-01T21:26:33.4620350Z         the first idx of each module as the x val, feature value as the y_val [for each channel]
2025-06-01T21:26:33.4620720Z         The reason for this is that we want to be able to compare values across the
2025-06-01T21:26:33.4621080Z         channels for same layer, and it will be hard if values are staggered by idx
2025-06-01T21:26:33.4621390Z         This means each module is represented by only 1 x value
2025-06-01T21:26:33.4621590Z Args:
2025-06-01T21:26:33.4621780Z     feature_filter (str): Filters the features presented to only those that
2025-06-01T21:26:33.4622030Z         contain this filter substring
2025-06-01T21:26:33.4622340Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-06-01T21:26:33.4622700Z         Default = "", results in all the modules in the reports to be visible in the table
2025-06-01T21:26:33.4622910Z 
2025-06-01T21:26:33.4622960Z Example Use:
2025-06-01T21:26:33.4623100Z     >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:33.4623320Z     >>> mod_report_visualizer.generate_plot_visualization(
2025-06-01T21:26:33.4623550Z     ...     feature_filter = "per_channel_min",
2025-06-01T21:26:33.4623740Z     ...     module_fqn_filter = "block1"
2025-06-01T21:26:33.4623910Z     ... )
2025-06-01T21:26:33.4624070Z     >>> # outputs line plot of per_channel_min information for all
2025-06-01T21:26:33.4624350Z     >>> # modules in block1 of model each channel gets it's own line,
2025-06-01T21:26:33.4624620Z     >>> # and it's plotted across the in-order modules on the x-axis
2025-06-01T21:26:33.4624780Z 
2025-06-01T21:26:33.4624920Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:33.4625180Z 
2025-06-01T21:26:33.4625780Z msg = Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=646.
2025-06-01T21:26:33.4626580Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:33.4626800Z 
2025-06-01T21:26:33.4626960Z Takes in a feature and optional module_filter and plots the histogram of desired data.
2025-06-01T21:26:33.4627280Z 
2025-06-01T21:26:33.4627330Z Note:
2025-06-01T21:26:33.4627550Z     Only features in the report that have tensor value data can be viewed as a histogram
2025-06-01T21:26:33.4627940Z     If you want to plot a histogram from all the channel values of a specific feature for
2025-06-01T21:26:33.4628310Z         a specific model, make sure to specify both the model and the feature properly
2025-06-01T21:26:33.4628680Z         in the filters and you should be able to see a distribution of the channel data
2025-06-01T21:26:33.4628890Z 
2025-06-01T21:26:33.4628940Z Args:
2025-06-01T21:26:33.4629160Z     feature_filter (str, optional): Filters the features presented to only those that
2025-06-01T21:26:33.4629450Z         contain this filter substring
2025-06-01T21:26:33.4629680Z         Default = "", results in all the features being printed
2025-06-01T21:26:33.4630000Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-06-01T21:26:33.4630450Z         Default = "", results in all the modules in the reports to be visible in the table
2025-06-01T21:26:33.4630810Z     num_bins (int, optional): The number of bins to create the histogram with
2025-06-01T21:26:33.4631140Z         Default = 10, the values will be split into 10 equal sized bins
2025-06-01T21:26:33.4631330Z 
2025-06-01T21:26:33.4631370Z Example Use:
2025-06-01T21:26:33.4631500Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:33.4631770Z     >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization(
2025-06-01T21:26:33.4632110Z     ...     feature_filter = "per_channel_min",
2025-06-01T21:26:33.4632330Z     ...     module_fqn_filter = "block1"
2025-06-01T21:26:33.4632500Z     ... )
2025-06-01T21:26:33.4632730Z     # outputs histogram of per_channel_min information for all modules in block1 of model
2025-06-01T21:26:33.4633110Z         information is gathered across all channels for all modules in block 1 for the
2025-06-01T21:26:33.4633450Z         per_channel_min and is displayed in a histogram of equally sized bins
2025-06-01T21:26:33.4633630Z 
2025-06-01T21:26:33.4633780Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:33.4633980Z 
2025-06-01T21:26:33.4634510Z msg = Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=227.
2025-06-01T21:26:33.4635200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:33.4635510Z Squashes the sparse masks into the appropriate tensors.
2025-06-01T21:26:33.4635680Z 
2025-06-01T21:26:33.4635800Z         If either the `params_to_keep` or `params_to_keep_per_layer` is set,
2025-06-01T21:26:33.4636100Z         the module will have a `sparse_params` dict attached to it.
2025-06-01T21:26:33.4636270Z 
2025-06-01T21:26:33.4636310Z         Args:
2025-06-01T21:26:33.4636500Z             params_to_keep: List of keys to save in the module or a dict
2025-06-01T21:26:33.4636760Z                             representing the modules and keys that will have
2025-06-01T21:26:33.4637000Z                             sparsity parameters saved
2025-06-01T21:26:33.4637260Z             params_to_keep_per_layer: Dict to specify the params that should be
2025-06-01T21:26:33.4637540Z                             saved for specific layers. The keys in the dict
2025-06-01T21:26:33.4637800Z                             should be the module fqn, while the values should
2025-06-01T21:26:33.4638060Z                             be a list of strings with the names of the variables
2025-06-01T21:26:33.4638290Z                             to save in the `sparse_params`
2025-06-01T21:26:33.4638430Z 
2025-06-01T21:26:33.4638470Z         Examples:
2025-06-01T21:26:33.4638630Z             >>> # xdoctest: +SKIP("locals are undefined")
2025-06-01T21:26:33.4638840Z             >>> # Don't save any sparse params
2025-06-01T21:26:33.4639040Z             >>> sparsifier.squash_mask()
2025-06-01T21:26:33.4639240Z             >>> hasattr(model.submodule1, 'sparse_params')
2025-06-01T21:26:33.4639430Z             False
2025-06-01T21:26:33.4639500Z 
2025-06-01T21:26:33.4639680Z             >>> # Keep sparse params per layer
2025-06-01T21:26:33.4639880Z             >>> sparsifier.squash_mask(
2025-06-01T21:26:33.4640080Z             ...     params_to_keep_per_layer={
2025-06-01T21:26:33.4640300Z             ...         'submodule1.linear1': ('foo', 'bar'),
2025-06-01T21:26:33.4640520Z             ...         'submodule2.linear42': ('baz',)
2025-06-01T21:26:33.4640710Z             ...     })
2025-06-01T21:26:33.4640890Z             >>> print(model.submodule1.linear1.sparse_params)
2025-06-01T21:26:33.4641110Z             {'foo': 42, 'bar': 24}
2025-06-01T21:26:33.4641320Z             >>> print(model.submodule2.linear42.sparse_params)
2025-06-01T21:26:33.4641540Z             {'baz': 0.1}
2025-06-01T21:26:33.4641670Z 
2025-06-01T21:26:33.4641750Z             >>> # Keep sparse params for all layers
2025-06-01T21:26:33.4642000Z             >>> sparsifier.squash_mask(params_to_keep=('foo', 'bar'))
2025-06-01T21:26:33.4642260Z             >>> print(model.submodule1.linear1.sparse_params)
2025-06-01T21:26:33.4642470Z             {'foo': 42, 'bar': 24}
2025-06-01T21:26:33.4642680Z             >>> print(model.submodule2.linear42.sparse_params)
2025-06-01T21:26:33.4642890Z             {'foo': 42, 'bar': 24}
2025-06-01T21:26:33.4643010Z 
2025-06-01T21:26:33.4643130Z             >>> # Keep some sparse params for all layers, and specific ones for
2025-06-01T21:26:33.4643400Z             >>> # some other layers
2025-06-01T21:26:33.4643620Z             >>> sparsifier.squash_mask(
2025-06-01T21:26:33.4643810Z             ...     params_to_keep=('foo', 'bar'),
2025-06-01T21:26:33.4644020Z             ...     params_to_keep_per_layer={
2025-06-01T21:26:33.4644220Z             ...         'submodule2.linear42': ('baz',)
2025-06-01T21:26:33.4644410Z             ...     })
2025-06-01T21:26:33.4644600Z             >>> print(model.submodule1.linear1.sparse_params)
2025-06-01T21:26:33.4644800Z             {'foo': 42, 'bar': 24}
2025-06-01T21:26:33.4645010Z             >>> print(model.submodule2.linear42.sparse_params)
2025-06-01T21:26:33.4645230Z             {'foo': 42, 'bar': 24, 'baz': 0.1}
2025-06-01T21:26:33.4645400Z         
2025-06-01T21:26:33.4645600Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:33.5220000Z 
2025-06-01T21:26:33.5220670Z msg = Cannot scrape callname=RelaxedBernoulli in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=120.
2025-06-01T21:26:33.5221420Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:33.5221660Z 
2025-06-01T21:26:33.5221780Z Creates a RelaxedBernoulli distribution, parametrized by
2025-06-01T21:26:33.5222090Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`
2025-06-01T21:26:33.5222420Z (but not both). This is a relaxed version of the `Bernoulli` distribution,
2025-06-01T21:26:33.5222740Z so the values are in (0, 1), and has reparametrizable samples.
2025-06-01T21:26:33.5222920Z 
2025-06-01T21:26:33.5222990Z Example::
2025-06-01T21:26:33.5223060Z 
2025-06-01T21:26:33.5223140Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-06-01T21:26:33.5223370Z     >>> m = RelaxedBernoulli(torch.tensor([2.2]),
2025-06-01T21:26:33.5223590Z     ...                      torch.tensor([0.1, 0.2, 0.3, 0.99]))
2025-06-01T21:26:33.5223780Z     >>> m.sample()
2025-06-01T21:26:33.5223930Z     tensor([ 0.2951,  0.3442,  0.8918,  0.9021])
2025-06-01T21:26:33.5224070Z 
2025-06-01T21:26:33.5224110Z Args:
2025-06-01T21:26:33.5224250Z     temperature (Tensor): relaxation temperature
2025-06-01T21:26:33.5224500Z     probs (Number, Tensor): the probability of sampling `1`
2025-06-01T21:26:33.5224770Z     logits (Number, Tensor): the log-odds of sampling `1`
2025-06-01T21:26:33.5224930Z 
2025-06-01T21:26:33.5225080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:33.5225300Z 
2025-06-01T21:26:33.5225780Z msg = Cannot scrape callname=RelaxedOneHotCategorical in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=109.
2025-06-01T21:26:33.5226470Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:33.5226690Z 
2025-06-01T21:26:33.5226820Z Creates a RelaxedOneHotCategorical distribution parametrized by
2025-06-01T21:26:33.5227130Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`.
2025-06-01T21:26:33.5227460Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so
2025-06-01T21:26:33.5227760Z its samples are on simplex, and are reparametrizable.
2025-06-01T21:26:33.5227920Z 
2025-06-01T21:26:33.5228120Z Example::
2025-06-01T21:26:33.5228180Z 
2025-06-01T21:26:33.5228270Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-06-01T21:26:33.5228500Z     >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]),
2025-06-01T21:26:33.5228740Z     ...                              torch.tensor([0.1, 0.2, 0.3, 0.4]))
2025-06-01T21:26:33.5228930Z     >>> m.sample()
2025-06-01T21:26:33.5229070Z     tensor([ 0.1294,  0.2324,  0.3859,  0.2523])
2025-06-01T21:26:33.5229200Z 
2025-06-01T21:26:33.5229240Z Args:
2025-06-01T21:26:33.5229380Z     temperature (Tensor): relaxation temperature
2025-06-01T21:26:33.5229590Z     probs (Tensor): event probabilities
2025-06-01T21:26:33.5229930Z     logits (Tensor): unnormalized log probability for each event
2025-06-01T21:26:33.5230150Z 
2025-06-01T21:26:33.5230300Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:33.5230520Z 
2025-06-01T21:26:33.5231020Z msg = Cannot scrape callname=LowRankMultivariateNormal in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56.
2025-06-01T21:26:33.5231740Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:33.5231960Z 
2025-06-01T21:26:33.5232140Z Creates a multivariate normal distribution with covariance matrix having a low-rank form
2025-06-01T21:26:33.5232500Z parameterized by :attr:`cov_factor` and :attr:`cov_diag`::
2025-06-01T21:26:33.5232670Z 
2025-06-01T21:26:33.5232820Z     covariance_matrix = cov_factor @ cov_factor.T + cov_diag
2025-06-01T21:26:33.5232990Z 
2025-06-01T21:26:33.5233040Z Example:
2025-06-01T21:26:33.5233190Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-06-01T21:26:33.5233420Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-06-01T21:26:33.5233630Z     >>> m = LowRankMultivariateNormal(
2025-06-01T21:26:33.5233870Z     ...     torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2)
2025-06-01T21:26:33.5234100Z     ... )
2025-06-01T21:26:33.5234330Z     >>> m.sample()  # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]`
2025-06-01T21:26:33.5234630Z     tensor([-0.2102, -0.5429])
2025-06-01T21:26:33.5234740Z 
2025-06-01T21:26:33.5234780Z Args:
2025-06-01T21:26:33.5234980Z     loc (Tensor): mean of the distribution with shape `batch_shape + event_shape`
2025-06-01T21:26:33.5235340Z     cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape
2025-06-01T21:26:33.5235630Z         `batch_shape + event_shape + (rank,)`
2025-06-01T21:26:33.5235920Z     cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape
2025-06-01T21:26:33.5236200Z         `batch_shape + event_shape`
2025-06-01T21:26:33.5236330Z 
2025-06-01T21:26:33.5236360Z Note:
2025-06-01T21:26:33.5236580Z     The computation for determinant and inverse of covariance matrix is avoided when
2025-06-01T21:26:33.5236950Z     `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity
2025-06-01T21:26:33.5237300Z     <https://en.wikipedia.org/wiki/Woodbury_matrix_identity>`_ and
2025-06-01T21:26:33.5237660Z     `matrix determinant lemma <https://en.wikipedia.org/wiki/Matrix_determinant_lemma>`_.
2025-06-01T21:26:33.5238050Z     Thanks to these formulas, we just need to compute the determinant and inverse of
2025-06-01T21:26:33.5238340Z     the small size "capacitance" matrix::
2025-06-01T21:26:33.5238470Z 
2025-06-01T21:26:33.5238590Z         capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor
2025-06-01T21:26:33.5238760Z 
2025-06-01T21:26:33.5238920Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:33.5239130Z 
2025-06-01T21:26:33.5239590Z msg = Cannot scrape callname=MixtureSameFamily in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=15.
2025-06-01T21:26:33.5240260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:33.5240550Z 
2025-06-01T21:26:33.5240680Z The `MixtureSameFamily` distribution implements a (batch of) mixture
2025-06-01T21:26:33.5241020Z distribution where all component are from different parameterizations of
2025-06-01T21:26:33.5241350Z the same distribution type. It is parameterized by a `Categorical`
2025-06-01T21:26:33.5241660Z "selecting distribution" (over `k` component) and a component
2025-06-01T21:26:33.5241970Z distribution, i.e., a `Distribution` with a rightmost batch shape
2025-06-01T21:26:33.5242240Z (equal to `[k]`) which indexes each (batch of) component.
2025-06-01T21:26:33.5242430Z 
2025-06-01T21:26:33.5242500Z Examples::
2025-06-01T21:26:33.5242580Z 
2025-06-01T21:26:33.5242650Z     >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:33.5242900Z     >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally
2025-06-01T21:26:33.5243150Z     >>> # weighted normal distributions
2025-06-01T21:26:33.5243350Z     >>> mix = D.Categorical(torch.ones(5,))
2025-06-01T21:26:33.5243570Z     >>> comp = D.Normal(torch.randn(5,), torch.rand(5,))
2025-06-01T21:26:33.5243780Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-06-01T21:26:33.5243920Z 
2025-06-01T21:26:33.5244030Z     >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally
2025-06-01T21:26:33.5244290Z     >>> # weighted bivariate normal distributions
2025-06-01T21:26:33.5244490Z     >>> mix = D.Categorical(torch.ones(5,))
2025-06-01T21:26:33.5244720Z     >>> comp = D.Independent(D.Normal(
2025-06-01T21:26:33.5244930Z     ...          torch.randn(5,2), torch.rand(5,2)), 1)
2025-06-01T21:26:33.5245150Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-06-01T21:26:33.5245290Z 
2025-06-01T21:26:33.5245390Z     >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each
2025-06-01T21:26:33.5245690Z     >>> # consisting of 5 random weighted bivariate normal distributions
2025-06-01T21:26:33.5245940Z     >>> mix = D.Categorical(torch.rand(3,5))
2025-06-01T21:26:33.5246140Z     >>> comp = D.Independent(D.Normal(
2025-06-01T21:26:33.5246340Z     ...         torch.randn(3,5,2), torch.rand(3,5,2)), 1)
2025-06-01T21:26:33.5246550Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-06-01T21:26:33.5246680Z 
2025-06-01T21:26:33.5246720Z Args:
2025-06-01T21:26:33.5246900Z     mixture_distribution: `torch.distributions.Categorical`-like
2025-06-01T21:26:33.5247200Z         instance. Manages the probability of selecting component.
2025-06-01T21:26:33.5247470Z         The number of categories must match the rightmost batch
2025-06-01T21:26:33.5247750Z         dimension of the `component_distribution`. Must have either
2025-06-01T21:26:33.5248010Z         scalar `batch_shape` or `batch_shape` matching
2025-06-01T21:26:33.5248240Z         `component_distribution.batch_shape[:-1]`
2025-06-01T21:26:33.5248520Z     component_distribution: `torch.distributions.Distribution`-like
2025-06-01T21:26:33.5248820Z         instance. Right-most batch dimension indexes component.
2025-06-01T21:26:33.5249000Z 
2025-06-01T21:26:33.5249150Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:33.5249360Z 
2025-06-01T21:26:33.5249410Z gathering tests
2025-06-01T21:26:33.5255270Z running 727 test(s)
2025-06-01T21:26:33.5255760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::typename:0, line 1086 <- wrt source file
2025-06-01T21:26:33.5256480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::typename:0
2025-06-01T21:26:33.5257180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0, line 1122 <- wrt source file
2025-06-01T21:26:33.5257890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0
2025-06-01T21:26:33.5258610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0, line 1189 <- wrt source file
2025-06-01T21:26:33.5259510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0
2025-06-01T21:26:33.5260260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1238 <- wrt source file
2025-06-01T21:26:33.5261040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-06-01T21:26:33.5261810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0, line 1275 <- wrt source file
2025-06-01T21:26:33.5262550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0
2025-06-01T21:26:33.5263310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1430 <- wrt source file
2025-06-01T21:26:33.5264100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-06-01T21:26:33.5349310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::compile:0, line 2545 <- wrt source file
2025-06-01T21:26:33.5350080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::compile:0
2025-06-01T21:26:33.5350860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2823 <- wrt source file
2025-06-01T21:26:33.5351700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-06-01T21:26:33.5352500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::Library.define:0, line 155 <- wrt source file
2025-06-01T21:26:33.5353250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::Library.define:0
2025-06-01T21:26:33.5354020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 258 <- wrt source file
2025-06-01T21:26:33.5354820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-06-01T21:26:33.5355580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::Library.impl:0, line 321 <- wrt source file
2025-06-01T21:26:33.5356300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::Library.impl:0
2025-06-01T21:26:33.5357000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::define:0, line 532 <- wrt source file
2025-06-01T21:26:33.5357690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::define:0
2025-06-01T21:26:33.5358360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::impl:0, line 638 <- wrt source file
2025-06-01T21:26:33.5359040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::impl:0
2025-06-01T21:26:33.5359820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::register_kernel:0, line 819 <- wrt source file
2025-06-01T21:26:33.5360580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::register_kernel:0
2025-06-01T21:26:33.5361310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::register_autocast:0, line 887 <- wrt source file
2025-06-01T21:26:33.5362090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::register_autocast:0
2025-06-01T21:26:33.5362880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0, line 1238 <- wrt source file
2025-06-01T21:26:33.5363640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0
2025-06-01T21:26:33.5364390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::register_vmap:0, line 1327 <- wrt source file
2025-06-01T21:26:33.5365110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py::register_vmap:0
2025-06-01T21:26:33.5365860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-06-01T21:26:33.5366580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0
2025-06-01T21:26:33.5367290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-06-01T21:26:33.5368010Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0
2025-06-01T21:26:33.5368730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-06-01T21:26:33.5369460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-06-01T21:26:33.5370200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-06-01T21:26:33.5370930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0
2025-06-01T21:26:33.5371660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-06-01T21:26:33.5372430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0
2025-06-01T21:26:33.5373200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file
2025-06-01T21:26:33.5373960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0
2025-06-01T21:26:33.5374720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0, line 422 <- wrt source file
2025-06-01T21:26:33.5375490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0
2025-06-01T21:26:33.5376280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0, line 1575 <- wrt source file
2025-06-01T21:26:33.5377040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0
2025-06-01T21:26:33.5377810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0, line 1710 <- wrt source file
2025-06-01T21:26:33.5378600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0
2025-06-01T21:26:33.5379410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1958 <- wrt source file
2025-06-01T21:26:33.5380200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-06-01T21:26:33.5381000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0, line 1977 <- wrt source file
2025-06-01T21:26:33.5381740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0
2025-06-01T21:26:33.5382540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-06-01T21:26:33.5383340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-06-01T21:26:33.5384140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 672 <- wrt source file
2025-06-01T21:26:33.5384890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-06-01T21:26:33.5385690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 729 <- wrt source file
2025-06-01T21:26:33.5386550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-06-01T21:26:33.5387350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1349 <- wrt source file
2025-06-01T21:26:33.5388090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-06-01T21:26:33.9133700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1394 <- wrt source file
2025-06-01T21:26:33.9134520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-06-01T21:26:33.9135290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0, line 1467 <- wrt source file
2025-06-01T21:26:33.9136020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0
2025-06-01T21:26:33.9136750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1497 <- wrt source file
2025-06-01T21:26:33.9137780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-06-01T21:26:33.9138480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/hub.py::list:0, line 468 <- wrt source file
2025-06-01T21:26:33.9139170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/hub.py::list:0
2025-06-01T21:26:33.9139900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/hub.py::help:0, line 528 <- wrt source file
2025-06-01T21:26:33.9140600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/hub.py::help:0
2025-06-01T21:26:33.9141300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-06-01T21:26:33.9142050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-06-01T21:26:33.9142800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-06-01T21:26:33.9143620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0
2025-06-01T21:26:33.9144380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-06-01T21:26:33.9145130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0
2025-06-01T21:26:33.9145850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::split:0, line 193 <- wrt source file
2025-06-01T21:26:33.9146550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::split:0
2025-06-01T21:26:33.9147250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::einsum:0, line 307 <- wrt source file
2025-06-01T21:26:33.9147950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::einsum:0
2025-06-01T21:26:33.9148690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 1041 <- wrt source file
2025-06-01T21:26:33.9149480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-06-01T21:26:33.9150240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::tensordot:0, line 1316 <- wrt source file
2025-06-01T21:26:33.9150960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::tensordot:0
2025-06-01T21:26:33.9151680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0, line 1400 <- wrt source file
2025-06-01T21:26:33.9152420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0
2025-06-01T21:26:33.9153160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::block_diag:0, line 1434 <- wrt source file
2025-06-01T21:26:33.9153870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::block_diag:0
2025-06-01T21:26:33.9154660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::cdist:0, line 1490 <- wrt source file
2025-06-01T21:26:33.9155360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::cdist:0
2025-06-01T21:26:33.9156070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0, line 1531 <- wrt source file
2025-06-01T21:26:33.9156810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0
2025-06-01T21:26:33.9157550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0, line 1567 <- wrt source file
2025-06-01T21:26:33.9158270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0
2025-06-01T21:26:33.9158990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0, line 1605 <- wrt source file
2025-06-01T21:26:33.9159710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0
2025-06-01T21:26:33.9160480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::norm:0, line 1778 <- wrt source file
2025-06-01T21:26:33.9161190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::norm:0
2025-06-01T21:26:33.9161900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::unravel_index:0, line 1946 <- wrt source file
2025-06-01T21:26:33.9162640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::unravel_index:0
2025-06-01T21:26:33.9163370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0, line 2046 <- wrt source file
2025-06-01T21:26:33.9164110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0
2025-06-01T21:26:33.9164830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0, line 2146 <- wrt source file
2025-06-01T21:26:33.9165550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0
2025-06-01T21:26:33.9166290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::Generator:0, line 15 <- wrt source file
2025-06-01T21:26:33.9167050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::Generator:0
2025-06-01T21:26:33.9167820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::_LinAlgError:0, line 5 <- wrt source file
2025-06-01T21:26:33.9168630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::_LinAlgError:0
2025-06-01T21:26:33.9169410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file
2025-06-01T21:26:33.9170180Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0
2025-06-01T21:26:33.9170980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file
2025-06-01T21:26:33.9171730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0
2025-06-01T21:26:33.9172470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file
2025-06-01T21:26:33.9806960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/serialization.py::skip_data:0
2025-06-01T21:26:33.9807870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file
2025-06-01T21:26:33.9808660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/serialization.py::register_package:0
2025-06-01T21:26:33.9809410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/serialization.py::save:0, line 950 <- wrt source file
2025-06-01T21:26:33.9810120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/serialization.py::save:0
2025-06-01T21:26:33.9810980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-06-01T21:26:33.9811810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-06-01T21:26:33.9812620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file
2025-06-01T21:26:33.9813430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-06-01T21:26:33.9814220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file
2025-06-01T21:26:33.9815010Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-06-01T21:26:33.9815780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file
2025-06-01T21:26:33.9816530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0
2025-06-01T21:26:33.9817330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1857 <- wrt source file
2025-06-01T21:26:33.9818200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2025-06-01T21:26:33.9819040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1736 <- wrt source file
2025-06-01T21:26:33.9819790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-06-01T21:26:33.9820540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 319 <- wrt source file
2025-06-01T21:26:33.9821450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-06-01T21:26:33.9822220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0, line 356 <- wrt source file
2025-06-01T21:26:33.9822970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0
2025-06-01T21:26:33.9823800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 95 <- wrt source file
2025-06-01T21:26:33.9824630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-06-01T21:26:33.9825420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/accelerator/__init__.py::device_index:0, line 206 <- wrt source file
2025-06-01T21:26:33.9826190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/accelerator/__init__.py::device_index:0
2025-06-01T21:26:33.9827010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-06-01T21:26:33.9827730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/jit/__init__.py::annotate:0
2025-06-01T21:26:33.9828500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file
2025-06-01T21:26:33.9829340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-06-01T21:26:33.9830140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file
2025-06-01T21:26:33.9830920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-06-01T21:26:33.9831670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/export/__init__.py::save:0, line 357 <- wrt source file
2025-06-01T21:26:33.9832390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/export/__init__.py::save:0
2025-06-01T21:26:33.9833110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/export/__init__.py::load:0, line 439 <- wrt source file
2025-06-01T21:26:33.9833820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/export/__init__.py::load:0
2025-06-01T21:26:33.9834560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0, line 563 <- wrt source file
2025-06-01T21:26:33.9835330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0
2025-06-01T21:26:33.9836100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file
2025-06-01T21:26:33.9836860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-06-01T21:26:33.9837670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-06-01T21:26:33.9838410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-06-01T21:26:33.9839140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-06-01T21:26:33.9839870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0
2025-06-01T21:26:33.9840650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file
2025-06-01T21:26:33.9841450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-06-01T21:26:33.9842230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nested/__init__.py::masked_select:0, line 479 <- wrt source file
2025-06-01T21:26:33.9843000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nested/__init__.py::masked_select:0
2025-06-01T21:26:33.9843760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 117 <- wrt source file
2025-06-01T21:26:33.9844530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-06-01T21:26:33.9845300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 171 <- wrt source file
2025-06-01T21:26:34.1193740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-06-01T21:26:34.1194630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 358 <- wrt source file
2025-06-01T21:26:34.1195440Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-06-01T21:26:34.1196230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0, line 390 <- wrt source file
2025-06-01T21:26:34.1197020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-06-01T21:26:34.1197820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 411 <- wrt source file
2025-06-01T21:26:34.1198620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-06-01T21:26:34.1199400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::is_exporting:0, line 429 <- wrt source file
2025-06-01T21:26:34.1200150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-06-01T21:26:34.1200920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 444 <- wrt source file
2025-06-01T21:26:34.1202130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-06-01T21:26:34.1202920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 459 <- wrt source file
2025-06-01T21:26:34.1203710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-06-01T21:26:34.1204610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file
2025-06-01T21:26:34.1205500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-06-01T21:26:34.1206300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 105 <- wrt source file
2025-06-01T21:26:34.1207050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-06-01T21:26:34.1207890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/map.py::map:0, line 148 <- wrt source file
2025-06-01T21:26:34.1208630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/map.py::map:0
2025-06-01T21:26:34.1209370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 154 <- wrt source file
2025-06-01T21:26:34.1210110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-06-01T21:26:34.1210880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0, line 420 <- wrt source file
2025-06-01T21:26:34.1211680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0
2025-06-01T21:26:34.1212510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 133 <- wrt source file
2025-06-01T21:26:34.1213370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-06-01T21:26:34.1214250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 268 <- wrt source file
2025-06-01T21:26:34.1215150Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-06-01T21:26:34.1215980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 86 <- wrt source file
2025-06-01T21:26:34.1216730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-06-01T21:26:34.1217480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0, line 449 <- wrt source file
2025-06-01T21:26:34.1218240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0
2025-06-01T21:26:34.1219080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-06-01T21:26:34.1219840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-06-01T21:26:34.1220590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/apis.py::grad:0, line 323 <- wrt source file
2025-06-01T21:26:34.1221340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/apis.py::grad:0
2025-06-01T21:26:34.1222130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 902 <- wrt source file
2025-06-01T21:26:34.1222930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-06-01T21:26:34.1223710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 233 <- wrt source file
2025-06-01T21:26:34.1224550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-06-01T21:26:34.1225340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 475 <- wrt source file
2025-06-01T21:26:34.1226110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-06-01T21:26:34.1226890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file
2025-06-01T21:26:34.1227660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-06-01T21:26:34.1228430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file
2025-06-01T21:26:34.1229220Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-06-01T21:26:34.1230000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file
2025-06-01T21:26:34.1230790Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-06-01T21:26:34.1231610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file
2025-06-01T21:26:34.1232450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-06-01T21:26:34.1262630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file
2025-06-01T21:26:34.1263500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-06-01T21:26:34.1264350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file
2025-06-01T21:26:34.1265430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-06-01T21:26:34.1266300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file
2025-06-01T21:26:34.1267210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-06-01T21:26:34.1268130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py::CompilerWrapper.post_compile:0, line 118 <- wrt source file
2025-06-01T21:26:34.1269100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py::CompilerWrapper.post_compile:0
2025-06-01T21:26:34.1269970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 170 <- wrt source file
2025-06-01T21:26:34.1270810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-06-01T21:26:34.1271610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 301 <- wrt source file
2025-06-01T21:26:34.1272410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0
2025-06-01T21:26:34.1273210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 992 <- wrt source file
2025-06-01T21:26:34.1274030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-06-01T21:26:34.1274840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1057 <- wrt source file
2025-06-01T21:26:34.1275660Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-06-01T21:26:34.1276470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1278 <- wrt source file
2025-06-01T21:26:34.1277310Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-06-01T21:26:34.1278140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1344 <- wrt source file
2025-06-01T21:26:34.1279000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-06-01T21:26:34.1279840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1407 <- wrt source file
2025-06-01T21:26:34.1280650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-06-01T21:26:34.1281450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1452 <- wrt source file
2025-06-01T21:26:34.1282240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-06-01T21:26:34.1282990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1562 <- wrt source file
2025-06-01T21:26:34.1289230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-06-01T21:26:34.1290100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1342 <- wrt source file
2025-06-01T21:26:34.1290960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-06-01T21:26:34.1291860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 157 <- wrt source file
2025-06-01T21:26:34.1292830Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-06-01T21:26:34.1293740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 476 <- wrt source file
2025-06-01T21:26:34.1294600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-06-01T21:26:34.1295450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 595 <- wrt source file
2025-06-01T21:26:34.1296300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-06-01T21:26:34.1297110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2190 <- wrt source file
2025-06-01T21:26:34.1297900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-06-01T21:26:34.1298640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0, line 2496 <- wrt source file
2025-06-01T21:26:34.1299380Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0
2025-06-01T21:26:34.1300120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0, line 2636 <- wrt source file
2025-06-01T21:26:34.1300870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0
2025-06-01T21:26:34.1301610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0, line 3069 <- wrt source file
2025-06-01T21:26:34.1302340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0
2025-06-01T21:26:34.1303070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0, line 3139 <- wrt source file
2025-06-01T21:26:34.1303850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0
2025-06-01T21:26:34.1304590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0, line 3448 <- wrt source file
2025-06-01T21:26:34.1305340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0
2025-06-01T21:26:34.1306120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3513 <- wrt source file
2025-06-01T21:26:34.1306930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-06-01T21:26:34.1327230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3583 <- wrt source file
2025-06-01T21:26:34.1328110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-06-01T21:26:34.1329040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::pad:0, line 5273 <- wrt source file
2025-06-01T21:26:34.1329780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/functional.py::pad:0
2025-06-01T21:26:34.1330530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::calculate_gain:0, line 102 <- wrt source file
2025-06-01T21:26:34.1331270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::calculate_gain:0
2025-06-01T21:26:34.1331990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0, line 159 <- wrt source file
2025-06-01T21:26:34.1332680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0
2025-06-01T21:26:34.1333360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::normal_:0, line 186 <- wrt source file
2025-06-01T21:26:34.1334040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::normal_:0
2025-06-01T21:26:34.1334750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0, line 221 <- wrt source file
2025-06-01T21:26:34.1335460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0
2025-06-01T21:26:34.1336160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::constant_:0, line 235 <- wrt source file
2025-06-01T21:26:34.1336850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::constant_:0
2025-06-01T21:26:34.1337530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::ones_:0, line 252 <- wrt source file
2025-06-01T21:26:34.1338210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::ones_:0
2025-06-01T21:26:34.1338900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0, line 265 <- wrt source file
2025-06-01T21:26:34.1339580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0
2025-06-01T21:26:34.1340320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::eye_:0, line 281 <- wrt source file
2025-06-01T21:26:34.1341180Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::eye_:0
2025-06-01T21:26:34.1341960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0, line 303 <- wrt source file
2025-06-01T21:26:34.1342670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0
2025-06-01T21:26:34.1343370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0, line 389 <- wrt source file
2025-06-01T21:26:34.1344100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-06-01T21:26:34.1344820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0, line 429 <- wrt source file
2025-06-01T21:26:34.1345560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0
2025-06-01T21:26:34.1346300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 488 <- wrt source file
2025-06-01T21:26:34.1347030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-06-01T21:26:34.1347750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0, line 553 <- wrt source file
2025-06-01T21:26:34.1348470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-06-01T21:26:34.1349190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0, line 592 <- wrt source file
2025-06-01T21:26:34.1349900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0
2025-06-01T21:26:34.1350590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0, line 645 <- wrt source file
2025-06-01T21:26:34.1351280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0
2025-06-01T21:26:34.1351970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-06-01T21:26:34.1352680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0
2025-06-01T21:26:34.1353390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-06-01T21:26:34.1354100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-06-01T21:26:34.1354860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-06-01T21:26:34.1355580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0
2025-06-01T21:26:34.1356330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-06-01T21:26:34.1357040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-06-01T21:26:34.1357750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-06-01T21:26:34.1358480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0
2025-06-01T21:26:34.1359220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-06-01T21:26:34.1359940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-06-01T21:26:34.1360690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 117 <- wrt source file
2025-06-01T21:26:34.1361460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-06-01T21:26:34.1362260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file
2025-06-01T21:26:34.1363020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-06-01T21:26:34.1363800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 127 <- wrt source file
2025-06-01T21:26:34.1364610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-06-01T21:26:34.1365470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 629 <- wrt source file
2025-06-01T21:26:34.1366340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-06-01T21:26:35.4881530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1433 <- wrt source file
2025-06-01T21:26:35.4882550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-06-01T21:26:35.4883550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1986 <- wrt source file
2025-06-01T21:26:35.4884570Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-06-01T21:26:35.4885590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 1996 <- wrt source file
2025-06-01T21:26:35.4886600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-06-01T21:26:35.4887610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2031 <- wrt source file
2025-06-01T21:26:35.4889070Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-06-01T21:26:35.4889970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 313 <- wrt source file
2025-06-01T21:26:35.4890850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-06-01T21:26:35.4891720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 345 <- wrt source file
2025-06-01T21:26:35.4892550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-06-01T21:26:35.4893360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 196 <- wrt source file
2025-06-01T21:26:35.4894260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-06-01T21:26:35.4895090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0, line 505 <- wrt source file
2025-06-01T21:26:35.4895940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0
2025-06-01T21:26:35.4896790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file
2025-06-01T21:26:35.4897650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0
2025-06-01T21:26:35.4898480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 133 <- wrt source file
2025-06-01T21:26:35.4899250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-06-01T21:26:35.4900050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 155 <- wrt source file
2025-06-01T21:26:35.4900860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-06-01T21:26:35.4901640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0, line 844 <- wrt source file
2025-06-01T21:26:35.4902380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0
2025-06-01T21:26:35.4903130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 880 <- wrt source file
2025-06-01T21:26:35.4903910Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-06-01T21:26:35.4904690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 923 <- wrt source file
2025-06-01T21:26:35.4905510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-06-01T21:26:35.4906260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0, line 1190 <- wrt source file
2025-06-01T21:26:35.4907000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0
2025-06-01T21:26:35.4907740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1218 <- wrt source file
2025-06-01T21:26:35.4908480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-06-01T21:26:35.4909270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file
2025-06-01T21:26:35.4910080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-06-01T21:26:35.4910930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file
2025-06-01T21:26:35.4911750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-06-01T21:26:35.4912570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file
2025-06-01T21:26:35.4913400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-06-01T21:26:35.4914170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file
2025-06-01T21:26:35.4914890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0
2025-06-01T21:26:35.4915650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 354 <- wrt source file
2025-06-01T21:26:35.4916420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2025-06-01T21:26:35.4917180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 432 <- wrt source file
2025-06-01T21:26:35.4917910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-06-01T21:26:35.4918650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 490 <- wrt source file
2025-06-01T21:26:35.4919400Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-06-01T21:26:35.4920150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 546 <- wrt source file
2025-06-01T21:26:35.4920880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-06-01T21:26:35.9089430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 574 <- wrt source file
2025-06-01T21:26:35.9090260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-06-01T21:26:35.9091400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file
2025-06-01T21:26:35.9092570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0
2025-06-01T21:26:35.9093500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file
2025-06-01T21:26:35.9094350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-06-01T21:26:35.9095180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-06-01T21:26:35.9096050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-06-01T21:26:35.9096860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 223 <- wrt source file
2025-06-01T21:26:35.9097690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-06-01T21:26:35.9098600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 273 <- wrt source file
2025-06-01T21:26:35.9099470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-06-01T21:26:35.9100310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-06-01T21:26:35.9101140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-06-01T21:26:35.9101960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file
2025-06-01T21:26:35.9102780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-06-01T21:26:35.9103580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file
2025-06-01T21:26:35.9104390Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-06-01T21:26:35.9105200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file
2025-06-01T21:26:35.9106050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-06-01T21:26:35.9106930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file
2025-06-01T21:26:35.9107680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-06-01T21:26:35.9108440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 330 <- wrt source file
2025-06-01T21:26:35.9109260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-06-01T21:26:35.9110130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 441 <- wrt source file
2025-06-01T21:26:35.9110900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-06-01T21:26:35.9111680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 552 <- wrt source file
2025-06-01T21:26:35.9112490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-06-01T21:26:35.9113260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-06-01T21:26:35.9114010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0
2025-06-01T21:26:35.9114740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0, line 80 <- wrt source file
2025-06-01T21:26:35.9115480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0
2025-06-01T21:26:35.9116340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 179 <- wrt source file
2025-06-01T21:26:35.9117280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-06-01T21:26:35.9118070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-06-01T21:26:35.9118830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-06-01T21:26:35.9119590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 206 <- wrt source file
2025-06-01T21:26:35.9120350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-06-01T21:26:35.9121100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 289 <- wrt source file
2025-06-01T21:26:35.9121850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-06-01T21:26:35.9122620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 363 <- wrt source file
2025-06-01T21:26:35.9123380Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-06-01T21:26:35.9124230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 545 <- wrt source file
2025-06-01T21:26:35.9124990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-06-01T21:26:35.9125770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 636 <- wrt source file
2025-06-01T21:26:35.9126550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-06-01T21:26:35.9127300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 731 <- wrt source file
2025-06-01T21:26:35.9128050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-06-01T21:26:35.9128810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 847 <- wrt source file
2025-06-01T21:26:35.9129600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-06-01T21:26:35.9170000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 937 <- wrt source file
2025-06-01T21:26:35.9170870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-06-01T21:26:35.9171710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1023 <- wrt source file
2025-06-01T21:26:35.9172550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-06-01T21:26:35.9173340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1137 <- wrt source file
2025-06-01T21:26:35.9174090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-06-01T21:26:35.9174850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1188 <- wrt source file
2025-06-01T21:26:35.9175600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-06-01T21:26:35.9176360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1247 <- wrt source file
2025-06-01T21:26:35.9177110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-06-01T21:26:35.9177930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1302 <- wrt source file
2025-06-01T21:26:35.9178730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-06-01T21:26:35.9179530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1336 <- wrt source file
2025-06-01T21:26:35.9180450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-06-01T21:26:35.9181250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1379 <- wrt source file
2025-06-01T21:26:35.9182080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-06-01T21:26:35.9182890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1426 <- wrt source file
2025-06-01T21:26:35.9183720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-06-01T21:26:35.9184520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1457 <- wrt source file
2025-06-01T21:26:35.9185350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-06-01T21:26:35.9186230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1496 <- wrt source file
2025-06-01T21:26:35.9187060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-06-01T21:26:35.9187870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-06-01T21:26:35.9188830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-06-01T21:26:35.9189670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 78 <- wrt source file
2025-06-01T21:26:35.9190460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-06-01T21:26:35.9191240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-06-01T21:26:35.9192020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0
2025-06-01T21:26:35.9192820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 255 <- wrt source file
2025-06-01T21:26:35.9193640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-06-01T21:26:35.9194460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 278 <- wrt source file
2025-06-01T21:26:35.9195270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-06-01T21:26:35.9196090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 309 <- wrt source file
2025-06-01T21:26:35.9196900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-06-01T21:26:35.9197740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0, line 338 <- wrt source file
2025-06-01T21:26:35.9198520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-06-01T21:26:35.9199460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 520 <- wrt source file
2025-06-01T21:26:35.9200310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-06-01T21:26:35.9201090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0, line 652 <- wrt source file
2025-06-01T21:26:35.9201890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-06-01T21:26:35.9202680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 804 <- wrt source file
2025-06-01T21:26:35.9203510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-06-01T21:26:35.9204320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-06-01T21:26:35.9205150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-06-01T21:26:35.9205960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 93 <- wrt source file
2025-06-01T21:26:35.9206770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-06-01T21:26:35.9207550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file
2025-06-01T21:26:35.9208270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-06-01T21:26:35.9209000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 211 <- wrt source file
2025-06-01T21:26:35.9209740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-06-01T21:26:36.7066030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 321 <- wrt source file
2025-06-01T21:26:36.7066890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-06-01T21:26:36.7067730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 406 <- wrt source file
2025-06-01T21:26:36.7068530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-06-01T21:26:36.7069320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 519 <- wrt source file
2025-06-01T21:26:36.7075450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-06-01T21:26:36.7076210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 597 <- wrt source file
2025-06-01T21:26:36.7076940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-06-01T21:26:36.7077800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 679 <- wrt source file
2025-06-01T21:26:36.7078610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-06-01T21:26:36.7079370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 750 <- wrt source file
2025-06-01T21:26:36.7080150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-06-01T21:26:36.7081050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 798 <- wrt source file
2025-06-01T21:26:36.7081830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-06-01T21:26:36.7082620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 943 <- wrt source file
2025-06-01T21:26:36.7083410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-06-01T21:26:36.7084200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1265 <- wrt source file
2025-06-01T21:26:36.7084980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-06-01T21:26:36.7085760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1405 <- wrt source file
2025-06-01T21:26:36.7086550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-06-01T21:26:36.7087340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1470 <- wrt source file
2025-06-01T21:26:36.7088120Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-06-01T21:26:36.7088920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1549 <- wrt source file
2025-06-01T21:26:36.7089690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-06-01T21:26:36.7090500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1649 <- wrt source file
2025-06-01T21:26:36.7091280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-06-01T21:26:36.7092130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1890 <- wrt source file
2025-06-01T21:26:36.7092860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2025-06-01T21:26:36.7093620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-06-01T21:26:36.7094450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-06-01T21:26:36.7095240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0, line 114 <- wrt source file
2025-06-01T21:26:36.7095990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-06-01T21:26:36.7096740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0, line 173 <- wrt source file
2025-06-01T21:26:36.7097530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-06-01T21:26:36.7098290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 229 <- wrt source file
2025-06-01T21:26:36.7099060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-06-01T21:26:36.7099850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 294 <- wrt source file
2025-06-01T21:26:36.7100610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-06-01T21:26:36.7101390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 322 <- wrt source file
2025-06-01T21:26:36.7102140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-06-01T21:26:36.7102920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 354 <- wrt source file
2025-06-01T21:26:36.7103700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-06-01T21:26:36.7104460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0, line 387 <- wrt source file
2025-06-01T21:26:36.7105210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-06-01T21:26:36.7105950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0, line 420 <- wrt source file
2025-06-01T21:26:36.7106700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-06-01T21:26:36.7107450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0, line 459 <- wrt source file
2025-06-01T21:26:36.7108200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0
2025-06-01T21:26:36.7109030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 504 <- wrt source file
2025-06-01T21:26:36.7109800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-06-01T21:26:36.7110580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0, line 547 <- wrt source file
2025-06-01T21:26:36.7513070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0
2025-06-01T21:26:36.7513920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0, line 589 <- wrt source file
2025-06-01T21:26:36.7514710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0
2025-06-01T21:26:36.7515490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0, line 642 <- wrt source file
2025-06-01T21:26:36.7516560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0
2025-06-01T21:26:36.7517320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0, line 682 <- wrt source file
2025-06-01T21:26:36.7518070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0
2025-06-01T21:26:36.7518820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0, line 724 <- wrt source file
2025-06-01T21:26:36.7519570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0
2025-06-01T21:26:36.7520330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 767 <- wrt source file
2025-06-01T21:26:36.7521110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-06-01T21:26:36.7521890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 816 <- wrt source file
2025-06-01T21:26:36.7522660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-06-01T21:26:36.7523440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 852 <- wrt source file
2025-06-01T21:26:36.7524210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-06-01T21:26:36.7525000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0, line 885 <- wrt source file
2025-06-01T21:26:36.7525760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-06-01T21:26:36.7526530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 928 <- wrt source file
2025-06-01T21:26:36.7527470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-06-01T21:26:36.7528270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1035 <- wrt source file
2025-06-01T21:26:36.7529110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-06-01T21:26:36.7530000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1498 <- wrt source file
2025-06-01T21:26:36.7530820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-06-01T21:26:36.7531590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1540 <- wrt source file
2025-06-01T21:26:36.7532350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-06-01T21:26:36.7533160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1563 <- wrt source file
2025-06-01T21:26:36.7533950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-06-01T21:26:36.7534730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1598 <- wrt source file
2025-06-01T21:26:36.7535500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-06-01T21:26:36.7536260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1656 <- wrt source file
2025-06-01T21:26:36.7537020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-06-01T21:26:36.7537790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1697 <- wrt source file
2025-06-01T21:26:36.7538560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-06-01T21:26:36.7539340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1733 <- wrt source file
2025-06-01T21:26:36.7540120Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-06-01T21:26:36.7540910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 88 <- wrt source file
2025-06-01T21:26:36.7541700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-06-01T21:26:36.7542510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 256 <- wrt source file
2025-06-01T21:26:36.7543360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2025-06-01T21:26:36.7544230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 330 <- wrt source file
2025-06-01T21:26:36.7545060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-06-01T21:26:36.7545890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 552 <- wrt source file
2025-06-01T21:26:36.7546770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-06-01T21:26:36.7547640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 675 <- wrt source file
2025-06-01T21:26:36.7548500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-06-01T21:26:36.7549350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 981 <- wrt source file
2025-06-01T21:26:36.7550260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-06-01T21:26:36.7551070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 69 <- wrt source file
2025-06-01T21:26:36.7551830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-06-01T21:26:36.7552610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 241 <- wrt source file
2025-06-01T21:26:38.0346160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-06-01T21:26:38.0347120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 519 <- wrt source file
2025-06-01T21:26:38.0348030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-06-01T21:26:38.0348900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 550 <- wrt source file
2025-06-01T21:26:38.0349740Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-06-01T21:26:38.0350550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1032 <- wrt source file
2025-06-01T21:26:38.0351320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-06-01T21:26:38.0352110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0, line 1286 <- wrt source file
2025-06-01T21:26:38.0352900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0
2025-06-01T21:26:38.0353710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2208 <- wrt source file
2025-06-01T21:26:38.0354860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-06-01T21:26:38.0355680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2649 <- wrt source file
2025-06-01T21:26:38.0356540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-06-01T21:26:38.0357400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2677 <- wrt source file
2025-06-01T21:26:38.0358220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-06-01T21:26:38.0359030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2704 <- wrt source file
2025-06-01T21:26:38.0359810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-06-01T21:26:38.0360700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2731 <- wrt source file
2025-06-01T21:26:38.0361520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-06-01T21:26:38.0362330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2762 <- wrt source file
2025-06-01T21:26:38.0363140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-06-01T21:26:38.0363940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2786 <- wrt source file
2025-06-01T21:26:38.0364720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-06-01T21:26:38.0365510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2824 <- wrt source file
2025-06-01T21:26:38.0366320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-06-01T21:26:38.0367100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-06-01T21:26:38.0367850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-06-01T21:26:38.0368610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 105 <- wrt source file
2025-06-01T21:26:38.0369370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-06-01T21:26:38.0370120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 157 <- wrt source file
2025-06-01T21:26:38.0370960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-06-01T21:26:38.0371720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 202 <- wrt source file
2025-06-01T21:26:38.0372480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-06-01T21:26:38.0373290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 245 <- wrt source file
2025-06-01T21:26:38.0374110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-06-01T21:26:38.0374930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 294 <- wrt source file
2025-06-01T21:26:38.0375760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-06-01T21:26:38.0376550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 87 <- wrt source file
2025-06-01T21:26:38.0377370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-06-01T21:26:38.0378200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-06-01T21:26:38.0379040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-06-01T21:26:38.0379900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 151 <- wrt source file
2025-06-01T21:26:38.0380720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-06-01T21:26:38.0381550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 262 <- wrt source file
2025-06-01T21:26:38.0382350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-06-01T21:26:38.0383130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 355 <- wrt source file
2025-06-01T21:26:38.0383910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-06-01T21:26:38.0384660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0, line 594 <- wrt source file
2025-06-01T21:26:38.0385370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-06-01T21:26:38.0386070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 951 <- wrt source file
2025-06-01T21:26:38.0386810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-06-01T21:26:38.0387520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1288 <- wrt source file
2025-06-01T21:26:38.0388290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-06-01T21:26:38.0389010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1539 <- wrt source file
2025-06-01T21:26:38.0389730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-06-01T21:26:38.0390490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1661 <- wrt source file
2025-06-01T21:26:38.0391260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-06-01T21:26:38.0391990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1775 <- wrt source file
2025-06-01T21:26:38.0392710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-06-01T21:26:38.0393490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 69 <- wrt source file
2025-06-01T21:26:38.0394270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-06-01T21:26:38.0395050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 120 <- wrt source file
2025-06-01T21:26:38.0395820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-06-01T21:26:38.0396600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 184 <- wrt source file
2025-06-01T21:26:38.0397370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-06-01T21:26:38.0398150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 238 <- wrt source file
2025-06-01T21:26:38.0398930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-06-01T21:26:38.0399700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 291 <- wrt source file
2025-06-01T21:26:38.0400480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-06-01T21:26:38.0401250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 347 <- wrt source file
2025-06-01T21:26:38.0402020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-06-01T21:26:38.0402800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 391 <- wrt source file
2025-06-01T21:26:38.0403590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-06-01T21:26:38.0404420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 435 <- wrt source file
2025-06-01T21:26:38.0405210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-06-01T21:26:38.0406000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 492 <- wrt source file
2025-06-01T21:26:38.0406830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-06-01T21:26:38.0407640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 550 <- wrt source file
2025-06-01T21:26:38.0408440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-06-01T21:26:38.0409240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 593 <- wrt source file
2025-06-01T21:26:38.0410060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-06-01T21:26:38.0410850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 650 <- wrt source file
2025-06-01T21:26:38.0411650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-06-01T21:26:38.0412420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 684 <- wrt source file
2025-06-01T21:26:38.0413180Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-06-01T21:26:38.0413930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 739 <- wrt source file
2025-06-01T21:26:38.0414690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-06-01T21:26:38.0415440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 798 <- wrt source file
2025-06-01T21:26:38.0416190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-06-01T21:26:38.0416940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0, line 111 <- wrt source file
2025-06-01T21:26:38.0417680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0
2025-06-01T21:26:38.0418430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0, line 261 <- wrt source file
2025-06-01T21:26:38.0419170Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-06-01T21:26:38.0419920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file
2025-06-01T21:26:38.0420670Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/run.py::__doc__:0
2025-06-01T21:26:38.0421510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2533 <- wrt source file
2025-06-01T21:26:38.0422370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0
2025-06-01T21:26:38.0423240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0, line 2635 <- wrt source file
2025-06-01T21:26:38.0424100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0
2025-06-01T21:26:38.0424940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 3100 <- wrt source file
2025-06-01T21:26:38.0425790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0
2025-06-01T21:26:38.0426660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3329 <- wrt source file
2025-06-01T21:26:38.0427510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0
2025-06-01T21:26:38.0428340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3431 <- wrt source file
2025-06-01T21:26:38.0429160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0
2025-06-01T21:26:38.0429980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3545 <- wrt source file
2025-06-01T21:26:38.0430820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0
2025-06-01T21:26:38.0431650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3668 <- wrt source file
2025-06-01T21:26:38.0432490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0
2025-06-01T21:26:38.0433490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 3877 <- wrt source file
2025-06-01T21:26:38.0434370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0
2025-06-01T21:26:38.0435240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4015 <- wrt source file
2025-06-01T21:26:38.0436080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0
2025-06-01T21:26:38.0436880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::gather:0, line 4121 <- wrt source file
2025-06-01T21:26:38.0437720Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::gather:0
2025-06-01T21:26:38.0438490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter:0, line 4206 <- wrt source file
2025-06-01T21:26:38.0439270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter:0
2025-06-01T21:26:38.0440090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0, line 4344 <- wrt source file
2025-06-01T21:26:38.0441040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0
2025-06-01T21:26:38.0441910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 4821 <- wrt source file
2025-06-01T21:26:38.0442720Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0
2025-06-01T21:26:38.0443580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0, line 5411 <- wrt source file
2025-06-01T21:26:38.0444390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0
2025-06-01T21:26:38.0445230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0, line 5505 <- wrt source file
2025-06-01T21:26:38.0446160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0
2025-06-01T21:26:38.0446980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 420 <- wrt source file
2025-06-01T21:26:38.0447850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0
2025-06-01T21:26:38.0448670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 931 <- wrt source file
2025-06-01T21:26:38.0449490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0
2025-06-01T21:26:38.0450310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1014 <- wrt source file
2025-06-01T21:26:38.0451100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0
2025-06-01T21:26:38.0451870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/autograd/__init__.py::context:0, line 39 <- wrt source file
2025-06-01T21:26:38.0452650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/autograd/__init__.py::context:0
2025-06-01T21:26:38.0453490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1395 <- wrt source file
2025-06-01T21:26:38.0454430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0
2025-06-01T21:26:38.0455370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0, line 1454 <- wrt source file
2025-06-01T21:26:38.0456310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0
2025-06-01T21:26:38.0457200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file
2025-06-01T21:26:38.0458000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0
2025-06-01T21:26:38.0458870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0, line 231 <- wrt source file
2025-06-01T21:26:38.0459790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0
2025-06-01T21:26:38.0460760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0, line 141 <- wrt source file
2025-06-01T21:26:38.0461710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0
2025-06-01T21:26:38.0462550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 333 <- wrt source file
2025-06-01T21:26:38.0463330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0
2025-06-01T21:26:38.0464180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0, line 83 <- wrt source file
2025-06-01T21:26:38.0465090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0
2025-06-01T21:26:38.0466000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 102 <- wrt source file
2025-06-01T21:26:38.0472080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0
2025-06-01T21:26:38.0472930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file
2025-06-01T21:26:38.0473690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-06-01T21:26:38.0474560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 107 <- wrt source file
2025-06-01T21:26:38.0475560Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0
2025-06-01T21:26:38.0476620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file
2025-06-01T21:26:38.0477640Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0
2025-06-01T21:26:38.0478680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 145 <- wrt source file
2025-06-01T21:26:38.0479720Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0
2025-06-01T21:26:38.0480700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0, line 23 <- wrt source file
2025-06-01T21:26:38.0481610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0
2025-06-01T21:26:38.0482550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0, line 49 <- wrt source file
2025-06-01T21:26:38.0483470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0
2025-06-01T21:26:38.0484400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0, line 104 <- wrt source file
2025-06-01T21:26:38.0485340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0
2025-06-01T21:26:38.0486380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0, line 125 <- wrt source file
2025-06-01T21:26:38.0487350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0
2025-06-01T21:26:38.0488300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0, line 143 <- wrt source file
2025-06-01T21:26:38.0489260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0
2025-06-01T21:26:38.0490200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0, line 182 <- wrt source file
2025-06-01T21:26:38.0491150Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0
2025-06-01T21:26:38.0492150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0, line 707 <- wrt source file
2025-06-01T21:26:38.0493160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0
2025-06-01T21:26:38.0494120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 43 <- wrt source file
2025-06-01T21:26:38.0494970Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0
2025-06-01T21:26:38.0495880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0, line 43 <- wrt source file
2025-06-01T21:26:38.0496860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0
2025-06-01T21:26:38.0497810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0, line 114 <- wrt source file
2025-06-01T21:26:38.0498810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0
2025-06-01T21:26:38.0499780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 37 <- wrt source file
2025-06-01T21:26:38.0500650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0
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2025-06-01T21:26:38.0505620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0
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2025-06-01T21:26:38.0507370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0
2025-06-01T21:26:38.0508240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 54 <- wrt source file
2025-06-01T21:26:38.0509110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0
2025-06-01T21:26:38.0510030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 130 <- wrt source file
2025-06-01T21:26:38.0511020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0
2025-06-01T21:26:38.0512030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0, line 1495 <- wrt source file
2025-06-01T21:26:38.0513130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0
2025-06-01T21:26:38.0514310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1615 <- wrt source file
2025-06-01T21:26:38.0515450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0
2025-06-01T21:26:38.0516570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1700 <- wrt source file
2025-06-01T21:26:38.0517620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0
2025-06-01T21:26:38.0518540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/api.py::StateDictType:0, line 262 <- wrt source file
2025-06-01T21:26:38.0519310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/api.py::StateDictType:0
2025-06-01T21:26:38.0520070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 224 <- wrt source file
2025-06-01T21:26:38.0520930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0
2025-06-01T21:26:38.0521790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0, line 457 <- wrt source file
2025-06-01T21:26:38.0522720Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0
2025-06-01T21:26:38.0523650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 31 <- wrt source file
2025-06-01T21:26:38.0524590Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0
2025-06-01T21:26:38.0525510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py::_sharded_op_common:0, line 18 <- wrt source file
2025-06-01T21:26:38.0526410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py::_sharded_op_common:0
2025-06-01T21:26:38.0527310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0, line 829 <- wrt source file
2025-06-01T21:26:38.0528200Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0
2025-06-01T21:26:38.0529100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 253 <- wrt source file
2025-06-01T21:26:38.0530210Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0
2025-06-01T21:26:38.0531210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 88 <- wrt source file
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2025-06-01T21:26:38.0533010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 64 <- wrt source file
2025-06-01T21:26:38.0533930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
2025-06-01T21:26:38.0534810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file
2025-06-01T21:26:38.0535690Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
2025-06-01T21:26:38.0536570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file
2025-06-01T21:26:38.0537590Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0
2025-06-01T21:26:38.0538570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 57 <- wrt source file
2025-06-01T21:26:38.0539500Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0
2025-06-01T21:26:38.0540410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0, line 56 <- wrt source file
2025-06-01T21:26:38.0541290Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0
2025-06-01T21:26:38.0542160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0, line 235 <- wrt source file
2025-06-01T21:26:38.0543040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0
2025-06-01T21:26:38.0543870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 174 <- wrt source file
2025-06-01T21:26:38.0544630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/api.py::_wait_all:0
2025-06-01T21:26:38.0545470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 345 <- wrt source file
2025-06-01T21:26:38.0546230Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/api.py::shutdown:0
2025-06-01T21:26:38.0547060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/api.py::remote:0, line 606 <- wrt source file
2025-06-01T21:26:38.0547840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/api.py::remote:0
2025-06-01T21:26:38.0548580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_sync:0, line 786 <- wrt source file
2025-06-01T21:26:38.0549340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_sync:0
2025-06-01T21:26:38.0550110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 878 <- wrt source file
2025-06-01T21:26:38.0550910Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_async:0
2025-06-01T21:26:38.0551700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 27 <- wrt source file
2025-06-01T21:26:38.0552490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-06-01T21:26:38.0553260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0, line 53 <- wrt source file
2025-06-01T21:26:38.0554010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0
2025-06-01T21:26:38.0554850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 110 <- wrt source file
2025-06-01T21:26:38.0555650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-06-01T21:26:38.0556440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 147 <- wrt source file
2025-06-01T21:26:38.0557230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-06-01T21:26:38.0558010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 271 <- wrt source file
2025-06-01T21:26:38.0558780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-06-01T21:26:38.0559550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 341 <- wrt source file
2025-06-01T21:26:38.0560290Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-06-01T21:26:38.0561100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 398 <- wrt source file
2025-06-01T21:26:38.0562140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-06-01T21:26:38.0562950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 475 <- wrt source file
2025-06-01T21:26:38.0563810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-06-01T21:26:38.0564660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 741 <- wrt source file
2025-06-01T21:26:38.0565490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-06-01T21:26:38.0566290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file
2025-06-01T21:26:38.0567040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-06-01T21:26:38.0567830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file
2025-06-01T21:26:38.0568630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-06-01T21:26:38.0569390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file
2025-06-01T21:26:38.0570150Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-06-01T21:26:38.0570890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/functional.py::vjp:0, line 293 <- wrt source file
2025-06-01T21:26:38.0571630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/functional.py::vjp:0
2025-06-01T21:26:38.0572360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/functional.py::jvp:0, line 395 <- wrt source file
2025-06-01T21:26:38.0573110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/functional.py::jvp:0
2025-06-01T21:26:38.0573850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/functional.py::jacobian:0, line 630 <- wrt source file
2025-06-01T21:26:38.0574610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/functional.py::jacobian:0
2025-06-01T21:26:38.0575370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/functional.py::hessian:0, line 884 <- wrt source file
2025-06-01T21:26:38.0576130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/functional.py::hessian:0
2025-06-01T21:26:38.0576880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/functional.py::vhp:0, line 1000 <- wrt source file
2025-06-01T21:26:38.0577620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/functional.py::vhp:0
2025-06-01T21:26:38.0578380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/functional.py::hvp:0, line 1099 <- wrt source file
2025-06-01T21:26:38.0579120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/functional.py::hvp:0
2025-06-01T21:26:38.0579850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file
2025-06-01T21:26:38.0580610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-06-01T21:26:38.0581380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file
2025-06-01T21:26:38.0582140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-06-01T21:26:38.0582910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file
2025-06-01T21:26:38.0583690Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-06-01T21:26:38.0584550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 232 <- wrt source file
2025-06-01T21:26:38.0585330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-06-01T21:26:38.0586090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/profiler.py::profile:0, line 178 <- wrt source file
2025-06-01T21:26:38.0586830Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/profiler.py::profile:0
2025-06-01T21:26:38.0587600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/profiler.py::record_function:0, line 738 <- wrt source file
2025-06-01T21:26:38.0588370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/profiler.py::record_function:0
2025-06-01T21:26:38.0589130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_itt:0, line 872 <- wrt source file
2025-06-01T21:26:38.0589880Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-06-01T21:26:38.0590630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 945 <- wrt source file
2025-06-01T21:26:38.0591370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-06-01T21:26:38.0592170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 67 <- wrt source file
2025-06-01T21:26:38.0593030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-06-01T21:26:38.0593880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 111 <- wrt source file
2025-06-01T21:26:38.0594750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-06-01T21:26:38.0595580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 163 <- wrt source file
2025-06-01T21:26:38.0596400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-06-01T21:26:38.0597300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 210 <- wrt source file
2025-06-01T21:26:38.0598280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-06-01T21:26:38.0599180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 239 <- wrt source file
2025-06-01T21:26:38.0600050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-06-01T21:26:38.0600900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/function.py::Function:0, line 483 <- wrt source file
2025-06-01T21:26:38.0601650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/function.py::Function:0
2025-06-01T21:26:38.0602380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/graph.py::_snake_case:0, line 102 <- wrt source file
2025-06-01T21:26:38.0603090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/graph.py::_snake_case:0
2025-06-01T21:26:38.0603870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 1762 <- wrt source file
2025-06-01T21:26:38.0604680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-06-01T21:26:38.0605480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 1856 <- wrt source file
2025-06-01T21:26:38.0606270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-06-01T21:26:38.0607050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
2025-06-01T21:26:38.0607790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/tensor_type.py::TensorType:0
2025-06-01T21:26:38.0608530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/tensor_type.py::is_consistent:0, line 65 <- wrt source file
2025-06-01T21:26:38.0609270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/tensor_type.py::is_consistent:0
2025-06-01T21:26:38.0610020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/tensor_type.py::is_more_precise:0, line 93 <- wrt source file
2025-06-01T21:26:38.0610770Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/tensor_type.py::is_more_precise:0
2025-06-01T21:26:38.0611570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0, line 125 <- wrt source file
2025-06-01T21:26:38.0612370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0
2025-06-01T21:26:38.0613140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/interpreter.py::Interpreter:0, line 48 <- wrt source file
2025-06-01T21:26:38.0613900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/interpreter.py::Interpreter:0
2025-06-01T21:26:38.0614680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/interpreter.py::Transformer:0, line 464 <- wrt source file
2025-06-01T21:26:38.0615450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/interpreter.py::Transformer:0
2025-06-01T21:26:38.0616270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0, line 96 <- wrt source file
2025-06-01T21:26:38.0617190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-06-01T21:26:38.0618050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/core.py::reify:0, line 58 <- wrt source file
2025-06-01T21:26:38.0618870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-06-01T21:26:38.0619720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0, line 37 <- wrt source file
2025-06-01T21:26:38.0620600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-06-01T21:26:38.0621500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0, line 64 <- wrt source file
2025-06-01T21:26:38.0622420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-06-01T21:26:38.0623390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0, line 90 <- wrt source file
2025-06-01T21:26:38.0624310Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-06-01T21:26:38.0625210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0, line 106 <- wrt source file
2025-06-01T21:26:38.0626110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-06-01T21:26:38.0627000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0, line 122 <- wrt source file
2025-06-01T21:26:38.0627900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-06-01T21:26:38.0628870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0, line 138 <- wrt source file
2025-06-01T21:26:38.0629800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
2025-06-01T21:26:38.0630760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0, line 158 <- wrt source file
2025-06-01T21:26:38.0631690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-06-01T21:26:38.0632610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0, line 178 <- wrt source file
2025-06-01T21:26:38.0633520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-06-01T21:26:38.0634420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0, line 204 <- wrt source file
2025-06-01T21:26:38.0635340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-06-01T21:26:38.0636240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0, line 221 <- wrt source file
2025-06-01T21:26:38.0637130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-06-01T21:26:38.0638060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0, line 416 <- wrt source file
2025-06-01T21:26:38.0638950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-06-01T21:26:38.0639840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/variable.py::variables:0, line 67 <- wrt source file
2025-06-01T21:26:38.0640710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-06-01T21:26:38.0641560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::unifiable:0, line 11 <- wrt source file
2025-06-01T21:26:38.0642400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::unifiable:0
2025-06-01T21:26:38.0643240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::reify_object:0, line 37 <- wrt source file
2025-06-01T21:26:38.0644080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-06-01T21:26:38.0644930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::unify_object:0, line 93 <- wrt source file
2025-06-01T21:26:38.0645770Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-06-01T21:26:38.0646690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0, line 15 <- wrt source file
2025-06-01T21:26:38.0647560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-06-01T21:26:38.0648430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0, line 42 <- wrt source file
2025-06-01T21:26:38.0649290Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-06-01T21:26:38.0650130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 70 <- wrt source file
2025-06-01T21:26:38.0650990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-06-01T21:26:38.0651870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file
2025-06-01T21:26:38.0652700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-06-01T21:26:38.0653540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0, line 48 <- wrt source file
2025-06-01T21:26:38.0654410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-06-01T21:26:38.0655310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0, line 113 <- wrt source file
2025-06-01T21:26:38.0656270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
2025-06-01T21:26:38.0657250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0, line 138 <- wrt source file
2025-06-01T21:26:38.0658270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0
2025-06-01T21:26:38.0659260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0, line 191 <- wrt source file
2025-06-01T21:26:38.0660240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0
2025-06-01T21:26:38.0661380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0, line 304 <- wrt source file
2025-06-01T21:26:38.0662440Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-06-01T21:26:38.0663490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 434 <- wrt source file
2025-06-01T21:26:38.0664490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-06-01T21:26:38.0665530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file
2025-06-01T21:26:38.0666530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2025-06-01T21:26:38.0667500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0, line 83 <- wrt source file
2025-06-01T21:26:38.0668460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2025-06-01T21:26:38.0669440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0, line 20 <- wrt source file
2025-06-01T21:26:38.0670390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-06-01T21:26:38.0671350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 18 <- wrt source file
2025-06-01T21:26:38.0672330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-06-01T21:26:38.0673290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file
2025-06-01T21:26:38.0674230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-06-01T21:26:38.0675160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file
2025-06-01T21:26:38.0676090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-06-01T21:26:38.0677010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file
2025-06-01T21:26:38.0677920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-06-01T21:26:38.0678830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file
2025-06-01T21:26:38.0679810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-06-01T21:26:38.0680680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file
2025-06-01T21:26:38.0681470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-06-01T21:26:38.0682240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/passes/split_module.py::split_module:0, line 85 <- wrt source file
2025-06-01T21:26:38.0683050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-06-01T21:26:38.0683870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file
2025-06-01T21:26:38.0684710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-06-01T21:26:38.0685630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file
2025-06-01T21:26:38.0686660Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0
2025-06-01T21:26:38.0687520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 42 <- wrt source file
2025-06-01T21:26:38.0688240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-06-01T21:26:38.0688960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 58 <- wrt source file
2025-06-01T21:26:38.0689710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-06-01T21:26:38.0695080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/gds.py::GdsFile:0, line 85 <- wrt source file
2025-06-01T21:26:38.0695930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/gds.py::GdsFile:0
2025-06-01T21:26:38.0696670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file
2025-06-01T21:26:38.0697430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-06-01T21:26:38.0698180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file
2025-06-01T21:26:38.0698920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-06-01T21:26:38.0699670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 138 <- wrt source file
2025-06-01T21:26:38.0700420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-06-01T21:26:38.0701200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 171 <- wrt source file
2025-06-01T21:26:38.0702120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-06-01T21:26:38.0702890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-06-01T21:26:38.0703620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0
2025-06-01T21:26:38.0704340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0, line 1530 <- wrt source file
2025-06-01T21:26:38.0705050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0
2025-06-01T21:26:38.0705790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file
2025-06-01T21:26:38.0706590Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-06-01T21:26:38.0707350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 279 <- wrt source file
2025-06-01T21:26:38.0708100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-06-01T21:26:38.0708850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 387 <- wrt source file
2025-06-01T21:26:38.0709730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-06-01T21:26:38.0710520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 490 <- wrt source file
2025-06-01T21:26:38.0711250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-06-01T21:26:38.0712000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 546 <- wrt source file
2025-06-01T21:26:38.0712740Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-06-01T21:26:38.0713460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 607 <- wrt source file
2025-06-01T21:26:38.1031340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-06-01T21:26:38.1032150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 682 <- wrt source file
2025-06-01T21:26:38.1032920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-06-01T21:26:38.1033720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 772 <- wrt source file
2025-06-01T21:26:38.1034510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-06-01T21:26:38.1035280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 819 <- wrt source file
2025-06-01T21:26:38.1036150Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2025-06-01T21:26:38.1036920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 966 <- wrt source file
2025-06-01T21:26:38.1037680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-06-01T21:26:38.1038500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1057 <- wrt source file
2025-06-01T21:26:38.1039320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-06-01T21:26:38.1040120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1129 <- wrt source file
2025-06-01T21:26:38.1040910Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-06-01T21:26:38.1041770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0, line 1272 <- wrt source file
2025-06-01T21:26:38.1042570Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0
2025-06-01T21:26:38.1043350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1503 <- wrt source file
2025-06-01T21:26:38.1044130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2025-06-01T21:26:38.1044940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 1730 <- wrt source file
2025-06-01T21:26:38.1045790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0
2025-06-01T21:26:38.1046670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1782 <- wrt source file
2025-06-01T21:26:38.1047560Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-06-01T21:26:38.1048450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1798 <- wrt source file
2025-06-01T21:26:38.1049340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-06-01T21:26:38.1050230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 1936 <- wrt source file
2025-06-01T21:26:38.1051020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2025-06-01T21:26:38.1051800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0, line 331 <- wrt source file
2025-06-01T21:26:38.1052600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-06-01T21:26:38.1053410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 877 <- wrt source file
2025-06-01T21:26:38.1054230Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0
2025-06-01T21:26:38.1055130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1421 <- wrt source file
2025-06-01T21:26:38.1056060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0
2025-06-01T21:26:38.1056900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 303 <- wrt source file
2025-06-01T21:26:38.1057690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-06-01T21:26:38.1058500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_pytree.py::register_constant:0, line 419 <- wrt source file
2025-06-01T21:26:38.1059270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_pytree.py::register_constant:0
2025-06-01T21:26:38.1060030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1026 <- wrt source file
2025-06-01T21:26:38.1060760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-06-01T21:26:38.1061490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0, line 1345 <- wrt source file
2025-06-01T21:26:38.1062210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0
2025-06-01T21:26:38.1062980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 547 <- wrt source file
2025-06-01T21:26:38.1063790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-06-01T21:26:38.1064610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 749 <- wrt source file
2025-06-01T21:26:38.1065430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-06-01T21:26:38.1066280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file
2025-06-01T21:26:38.1067170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-06-01T21:26:38.1068090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 322 <- wrt source file
2025-06-01T21:26:38.1069040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-06-01T21:26:38.1069960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 354 <- wrt source file
2025-06-01T21:26:38.1070820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-06-01T21:26:38.1071640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 78 <- wrt source file
2025-06-01T21:26:38.1072400Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-06-01T21:26:38.1073140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 277 <- wrt source file
2025-06-01T21:26:38.1073890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-06-01T21:26:38.1074640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 320 <- wrt source file
2025-06-01T21:26:38.1075460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-06-01T21:26:38.1076250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 357 <- wrt source file
2025-06-01T21:26:38.1077040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-06-01T21:26:38.1077830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 387 <- wrt source file
2025-06-01T21:26:38.1078590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-06-01T21:26:38.1079300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 422 <- wrt source file
2025-06-01T21:26:38.1080030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-06-01T21:26:38.1080760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 457 <- wrt source file
2025-06-01T21:26:38.1081500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-06-01T21:26:38.1082230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 494 <- wrt source file
2025-06-01T21:26:38.1082930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-06-01T21:26:38.1083670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 910 <- wrt source file
2025-06-01T21:26:38.1084460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-06-01T21:26:38.1085290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 718 <- wrt source file
2025-06-01T21:26:38.1086240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-06-01T21:26:38.1087080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file
2025-06-01T21:26:38.1087910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-06-01T21:26:38.1088750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file
2025-06-01T21:26:38.1089580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-06-01T21:26:38.1090420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file
2025-06-01T21:26:38.1091360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-06-01T21:26:38.1092250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file
2025-06-01T21:26:38.1093120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-06-01T21:26:38.1093960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file
2025-06-01T21:26:38.1094810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-06-01T21:26:38.1095650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file
2025-06-01T21:26:38.1096490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-06-01T21:26:38.1097330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file
2025-06-01T21:26:38.1098170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-06-01T21:26:38.1099120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file
2025-06-01T21:26:38.1100010Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-06-01T21:26:38.1100890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file
2025-06-01T21:26:38.1101780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-06-01T21:26:38.1102660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file
2025-06-01T21:26:38.1103500Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-06-01T21:26:38.1104350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 648 <- wrt source file
2025-06-01T21:26:38.1105210Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-06-01T21:26:38.1106120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 811 <- wrt source file
2025-06-01T21:26:38.1106970Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-06-01T21:26:38.1107810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 878 <- wrt source file
2025-06-01T21:26:38.1108750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-06-01T21:26:38.1109620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file
2025-06-01T21:26:38.1110460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-06-01T21:26:38.1111370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file
2025-06-01T21:26:38.1112420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-06-01T21:26:38.1113410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file
2025-06-01T21:26:38.1114360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-06-01T21:26:38.1115260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file
2025-06-01T21:26:38.1116140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-06-01T21:26:38.1117010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file
2025-06-01T21:26:38.1117840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-06-01T21:26:38.1118640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-06-01T21:26:38.1119430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-06-01T21:26:38.1120210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 219 <- wrt source file
2025-06-01T21:26:38.1121010Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-06-01T21:26:38.1121890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0, line 441 <- wrt source file
2025-06-01T21:26:38.1122720Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0
2025-06-01T21:26:38.1123480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0, line 34 <- wrt source file
2025-06-01T21:26:38.1124220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-06-01T21:26:38.1125040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 232 <- wrt source file
2025-06-01T21:26:38.1125880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-06-01T21:26:38.1126690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 295 <- wrt source file
2025-06-01T21:26:38.1127460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-06-01T21:26:38.1128270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file
2025-06-01T21:26:38.1129090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-06-01T21:26:38.1129880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file
2025-06-01T21:26:38.1130660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-06-01T21:26:38.1131470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file
2025-06-01T21:26:38.1132290Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-06-01T21:26:38.1133120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file
2025-06-01T21:26:38.1133960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-06-01T21:26:38.1134800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 264 <- wrt source file
2025-06-01T21:26:38.1135630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-06-01T21:26:38.1136570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 35 <- wrt source file
2025-06-01T21:26:38.1137520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-06-01T21:26:38.1138470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 52 <- wrt source file
2025-06-01T21:26:38.1139400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-06-01T21:26:38.1140310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 198 <- wrt source file
2025-06-01T21:26:38.1141230Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-06-01T21:26:38.1142180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 53 <- wrt source file
2025-06-01T21:26:38.1143100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-06-01T21:26:38.1144010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 113 <- wrt source file
2025-06-01T21:26:38.1144930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-06-01T21:26:38.1145850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 180 <- wrt source file
2025-06-01T21:26:38.1146760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-06-01T21:26:38.1147670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file
2025-06-01T21:26:38.1148580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-06-01T21:26:38.1602240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file
2025-06-01T21:26:38.1603230Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-06-01T21:26:38.1604190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 88 <- wrt source file
2025-06-01T21:26:38.1605120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-06-01T21:26:38.1606050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 307 <- wrt source file
2025-06-01T21:26:38.1607090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-06-01T21:26:38.1608010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 393 <- wrt source file
2025-06-01T21:26:38.1609000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-06-01T21:26:38.1609980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 603 <- wrt source file
2025-06-01T21:26:38.1610920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-06-01T21:26:38.1611850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 671 <- wrt source file
2025-06-01T21:26:38.1612830Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-06-01T21:26:38.1613770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file
2025-06-01T21:26:38.1614750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-06-01T21:26:38.1615720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 26 <- wrt source file
2025-06-01T21:26:38.1616660Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-06-01T21:26:38.1617630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 88 <- wrt source file
2025-06-01T21:26:38.1618700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-06-01T21:26:38.1619650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 25 <- wrt source file
2025-06-01T21:26:38.1620620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-06-01T21:26:38.1621530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file
2025-06-01T21:26:38.1622400Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-06-01T21:26:38.1623360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file
2025-06-01T21:26:38.1624340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-06-01T21:26:38.1625230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file
2025-06-01T21:26:38.1626130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-06-01T21:26:38.1627040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file
2025-06-01T21:26:38.1627950Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-06-01T21:26:38.1628890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file
2025-06-01T21:26:38.1629810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-06-01T21:26:38.1630760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 73 <- wrt source file
2025-06-01T21:26:38.1631660Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-06-01T21:26:38.1632580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 26 <- wrt source file
2025-06-01T21:26:38.1633510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-06-01T21:26:38.1634450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file
2025-06-01T21:26:38.1635390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-06-01T21:26:38.1636240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-06-01T21:26:38.1637000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_creation.py::make_tensor:0
2025-06-01T21:26:38.1637790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 614 <- wrt source file
2025-06-01T21:26:38.1638610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-06-01T21:26:38.1639440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 735 <- wrt source file
2025-06-01T21:26:38.1640450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-06-01T21:26:38.1641290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 824 <- wrt source file
2025-06-01T21:26:38.1642240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-06-01T21:26:38.1643110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4644 <- wrt source file
2025-06-01T21:26:38.1644070Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-06-01T21:26:38.1645110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4658 <- wrt source file
2025-06-01T21:26:38.1646090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-06-01T21:26:38.1646990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4688 <- wrt source file
2025-06-01T21:26:38.1647960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-06-01T21:26:38.1648840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 194 <- wrt source file
2025-06-01T21:26:38.1649680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-06-01T21:26:38.1650540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file
2025-06-01T21:26:38.1651410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-06-01T21:26:38.1652350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 326 <- wrt source file
2025-06-01T21:26:38.1653330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0
2025-06-01T21:26:38.1654320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file
2025-06-01T21:26:38.1655360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-06-01T21:26:38.1656280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 51 <- wrt source file
2025-06-01T21:26:38.1657080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-06-01T21:26:38.1657880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0, line 100 <- wrt source file
2025-06-01T21:26:38.1658630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-06-01T21:26:38.1659500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 239 <- wrt source file
2025-06-01T21:26:38.1660360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-06-01T21:26:38.1661240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 308 <- wrt source file
2025-06-01T21:26:38.1662120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-06-01T21:26:38.1662950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_fake:0, line 415 <- wrt source file
2025-06-01T21:26:38.1663780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_fake:0
2025-06-01T21:26:38.1664620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 542 <- wrt source file
2025-06-01T21:26:38.1665510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-06-01T21:26:38.1666360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 714 <- wrt source file
2025-06-01T21:26:38.1667200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-06-01T21:26:38.1668040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 800 <- wrt source file
2025-06-01T21:26:38.1668890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-06-01T21:26:38.1669720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file
2025-06-01T21:26:38.1670540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-06-01T21:26:38.1671350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 197 <- wrt source file
2025-06-01T21:26:38.1672170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-06-01T21:26:38.1672930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-06-01T21:26:38.1673660Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-06-01T21:26:38.1674540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 36 <- wrt source file
2025-06-01T21:26:38.1675390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-06-01T21:26:38.1676260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file
2025-06-01T21:26:38.1677080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-06-01T21:26:38.1683310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 122 <- wrt source file
2025-06-01T21:26:38.1684240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-06-01T21:26:38.1685070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 214 <- wrt source file
2025-06-01T21:26:38.1685860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-06-01T21:26:38.1686680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 346 <- wrt source file
2025-06-01T21:26:38.1687470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-06-01T21:26:38.1688280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 322 <- wrt source file
2025-06-01T21:26:38.1689140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-06-01T21:26:38.1689960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file
2025-06-01T21:26:38.1690770Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-06-01T21:26:38.1691550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file
2025-06-01T21:26:38.1692310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-06-01T21:26:38.1693060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file
2025-06-01T21:26:38.1693820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-06-01T21:26:38.1694590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file
2025-06-01T21:26:38.1695390Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-06-01T21:26:38.1696190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file
2025-06-01T21:26:38.1697080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-06-01T21:26:38.1698000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file
2025-06-01T21:26:38.1698850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-06-01T21:26:38.1699690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file
2025-06-01T21:26:38.1700520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-06-01T21:26:38.1701330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 124 <- wrt source file
2025-06-01T21:26:38.1702180Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-06-01T21:26:38.1702990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 208 <- wrt source file
2025-06-01T21:26:38.1703840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-06-01T21:26:38.1704760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 294 <- wrt source file
2025-06-01T21:26:38.1705660Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-06-01T21:26:38.1706520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 376 <- wrt source file
2025-06-01T21:26:38.1707380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-06-01T21:26:38.1708250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 458 <- wrt source file
2025-06-01T21:26:38.1709110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-06-01T21:26:38.1709950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 515 <- wrt source file
2025-06-01T21:26:38.1710750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-06-01T21:26:38.1711580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 800 <- wrt source file
2025-06-01T21:26:38.1712390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-06-01T21:26:38.1713190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1202 <- wrt source file
2025-06-01T21:26:38.1714010Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-06-01T21:26:38.1714890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1268 <- wrt source file
2025-06-01T21:26:38.1715710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-06-01T21:26:38.1716560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1321 <- wrt source file
2025-06-01T21:26:38.1717410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-06-01T21:26:38.1718260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file
2025-06-01T21:26:38.1719160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-06-01T21:26:38.1720070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file
2025-06-01T21:26:38.1720950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-06-01T21:26:38.1721780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file
2025-06-01T21:26:38.1722560Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-06-01T21:26:38.1723350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file
2025-06-01T21:26:38.1724150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-06-01T21:26:38.1724940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 505 <- wrt source file
2025-06-01T21:26:38.1725710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-06-01T21:26:38.1726470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 634 <- wrt source file
2025-06-01T21:26:38.1727240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-06-01T21:26:38.1832690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 890 <- wrt source file
2025-06-01T21:26:38.1833580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-06-01T21:26:38.1834460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1012 <- wrt source file
2025-06-01T21:26:38.1835330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-06-01T21:26:38.1836240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1138 <- wrt source file
2025-06-01T21:26:38.1837090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-06-01T21:26:38.1837970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file
2025-06-01T21:26:38.1838860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-06-01T21:26:38.1839740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 274 <- wrt source file
2025-06-01T21:26:38.1840610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-06-01T21:26:38.1841500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file
2025-06-01T21:26:38.1842310Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-06-01T21:26:38.1843120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 410 <- wrt source file
2025-06-01T21:26:38.1843910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-06-01T21:26:38.1844750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 23 <- wrt source file
2025-06-01T21:26:38.1845630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-06-01T21:26:38.1846560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 22 <- wrt source file
2025-06-01T21:26:38.1847530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-06-01T21:26:38.1848460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file
2025-06-01T21:26:38.1849380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-06-01T21:26:38.1850310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 66 <- wrt source file
2025-06-01T21:26:38.1851260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-06-01T21:26:38.1852190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 140 <- wrt source file
2025-06-01T21:26:38.1853150Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-06-01T21:26:38.1854000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file
2025-06-01T21:26:38.1854790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-06-01T21:26:38.1855620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file
2025-06-01T21:26:38.1856490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-06-01T21:26:38.1857320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file
2025-06-01T21:26:38.1858140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-06-01T21:26:38.1858990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 145 <- wrt source file
2025-06-01T21:26:38.1859810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-06-01T21:26:38.1860620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 517 <- wrt source file
2025-06-01T21:26:38.1861470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-06-01T21:26:38.1862320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 539 <- wrt source file
2025-06-01T21:26:38.1863170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-06-01T21:26:38.1864020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 553 <- wrt source file
2025-06-01T21:26:38.1864870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-06-01T21:26:38.1865700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 575 <- wrt source file
2025-06-01T21:26:38.1866510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-06-01T21:26:38.1867320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 702 <- wrt source file
2025-06-01T21:26:38.1868140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-06-01T21:26:38.1868980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file
2025-06-01T21:26:38.1869900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-06-01T21:26:38.1870780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file
2025-06-01T21:26:38.1871720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-06-01T21:26:38.1872640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file
2025-06-01T21:26:38.1873520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-06-01T21:26:38.1874420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file
2025-06-01T21:26:38.1875330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-06-01T21:26:38.1876260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file
2025-06-01T21:26:38.1877130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-06-01T21:26:38.1877970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file
2025-06-01T21:26:38.1878830Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-06-01T21:26:38.1879700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file
2025-06-01T21:26:38.1880530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-06-01T21:26:38.1881360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 220 <- wrt source file
2025-06-01T21:26:38.1882150Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-06-01T21:26:38.1882960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 289 <- wrt source file
2025-06-01T21:26:38.1883770Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-06-01T21:26:38.1884590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 428 <- wrt source file
2025-06-01T21:26:38.1885420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-06-01T21:26:38.1886250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 603 <- wrt source file
2025-06-01T21:26:38.1887100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-06-01T21:26:38.1887940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 663 <- wrt source file
2025-06-01T21:26:38.1888840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-06-01T21:26:38.1889780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 715 <- wrt source file
2025-06-01T21:26:38.1890710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-06-01T21:26:38.1891660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file
2025-06-01T21:26:38.1892620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0
2025-06-01T21:26:38.1893580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 435 <- wrt source file
2025-06-01T21:26:38.1894540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-06-01T21:26:38.1895500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 102 <- wrt source file
2025-06-01T21:26:38.1896430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-06-01T21:26:38.1897370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 148 <- wrt source file
2025-06-01T21:26:38.1898290Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-06-01T21:26:38.1899210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 188 <- wrt source file
2025-06-01T21:26:38.1900120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0
2025-06-01T21:26:38.1901030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 84 <- wrt source file
2025-06-01T21:26:38.1901940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0
2025-06-01T21:26:38.1902820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file
2025-06-01T21:26:38.1903690Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-06-01T21:26:38.1904640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file
2025-06-01T21:26:38.1905640Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-06-01T21:26:38.1906760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0, line 62 <- wrt source file
2025-06-01T21:26:38.1907890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0
2025-06-01T21:26:38.1908990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file
2025-06-01T21:26:38.1910080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0
2025-06-01T21:26:38.1911040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 22 <- wrt source file
2025-06-01T21:26:38.1911880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-06-01T21:26:38.1928320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 293 <- wrt source file
2025-06-01T21:26:38.1929330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-06-01T21:26:38.1930200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0, line 615 <- wrt source file
2025-06-01T21:26:38.1930980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0
2025-06-01T21:26:38.1931810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 339 <- wrt source file
2025-06-01T21:26:38.1932740Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-06-01T21:26:38.1933630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 668 <- wrt source file
2025-06-01T21:26:38.1934590Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-06-01T21:26:38.1935480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 684 <- wrt source file
2025-06-01T21:26:38.1936350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-06-01T21:26:38.1937290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 768 <- wrt source file
2025-06-01T21:26:38.1938160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-06-01T21:26:38.1939020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-06-01T21:26:38.1939910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-06-01T21:26:38.1940770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-06-01T21:26:38.1941580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0
2025-06-01T21:26:38.1942410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-06-01T21:26:38.1943290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0
2025-06-01T21:26:38.1944150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1065 <- wrt source file
2025-06-01T21:26:38.1944990Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-06-01T21:26:38.1945840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1177 <- wrt source file
2025-06-01T21:26:38.1946720Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-06-01T21:26:38.1947630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1253 <- wrt source file
2025-06-01T21:26:38.1948600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-06-01T21:26:38.1949490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 42 <- wrt source file
2025-06-01T21:26:38.1950280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-06-01T21:26:38.1951060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-06-01T21:26:38.1951850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-06-01T21:26:38.1952640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-06-01T21:26:38.1953430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0
2025-06-01T21:26:38.1954260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-06-01T21:26:38.1955180Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-06-01T21:26:38.1956010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-06-01T21:26:38.1956800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0
2025-06-01T21:26:38.1957580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-06-01T21:26:38.1958360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0
2025-06-01T21:26:38.1970610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-06-01T21:26:38.1971730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-06-01T21:26:38.1972800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-06-01T21:26:38.1973620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0
2025-06-01T21:26:38.1974470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-06-01T21:26:38.1975350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0
2025-06-01T21:26:38.1976160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-06-01T21:26:38.1977110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0
2025-06-01T21:26:38.1977980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-06-01T21:26:38.1978850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-06-01T21:26:38.1979810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-06-01T21:26:38.1980650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-06-01T21:26:38.1981510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-06-01T21:26:38.1982540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-06-01T21:26:38.1983500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-06-01T21:26:38.1984350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-06-01T21:26:38.1985300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-06-01T21:26:38.1986190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0
2025-06-01T21:26:38.1987260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-06-01T21:26:38.1988200Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-06-01T21:26:38.1989060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-06-01T21:26:38.1989880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0
2025-06-01T21:26:38.1990660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-06-01T21:26:38.1991520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0
2025-06-01T21:26:38.1992350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-06-01T21:26:38.1993150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-06-01T21:26:38.1993940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0, line 117 <- wrt source file
2025-06-01T21:26:38.1994740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-06-01T21:26:38.1995510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-06-01T21:26:38.1996270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-06-01T21:26:38.1997030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-06-01T21:26:38.1997800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-06-01T21:26:38.1998640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-06-01T21:26:38.1999540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-06-01T21:26:38.2000410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-06-01T21:26:38.2001260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-06-01T21:26:38.2002130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/constraints.py::is_dependent:0, line 166 <- wrt source file
2025-06-01T21:26:38.2002940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-06-01T21:26:38.2003770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 187 <- wrt source file
2025-06-01T21:26:38.2004660Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-06-01T21:26:38.2005500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-06-01T21:26:38.2006260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0
2025-06-01T21:26:38.2007070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-06-01T21:26:38.2007880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-06-01T21:26:38.2008700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-06-01T21:26:38.2009540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-06-01T21:26:38.2010400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file
2025-06-01T21:26:38.2011270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-06-01T21:26:38.2012100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-06-01T21:26:38.2012860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0
2025-06-01T21:26:38.2013620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-06-01T21:26:38.2014360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0
2025-06-01T21:26:38.2015100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-06-01T21:26:38.2015820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0
2025-06-01T21:26:38.2016570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-06-01T21:26:38.2017350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0
2025-06-01T21:26:38.2018110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-06-01T21:26:38.2018950Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-06-01T21:26:38.2019730Z ============
2025-06-01T21:26:38.2019900Z Finished doctests
2025-06-01T21:26:38.2020050Z 348 / 727 passed
2025-06-01T21:26:38.2020200Z 
2025-06-01T21:26:38.2020380Z === Found 118 parse-time warnings ===
2025-06-01T21:26:38.2020650Z --- Parse Warning: 1 / 118 ---
2025-06-01T21:26:38.2021600Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py line=392.
2025-06-01T21:26:38.2022580Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-06-01T21:26:38.2022950Z     Registers the function implementation as the fallback for the given key.
2025-06-01T21:26:38.2023220Z     
2025-06-01T21:26:38.2023420Z             This function only works for a library with global namespace ("_").
2025-06-01T21:26:38.2023660Z     
2025-06-01T21:26:38.2023760Z             Args:
2025-06-01T21:26:38.2024010Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-06-01T21:26:38.2024320Z                     to register a fallthrough.
2025-06-01T21:26:38.2024680Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-06-01T21:26:38.2025050Z                               the dispatch key that the library was created with.
2025-06-01T21:26:38.2025440Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-06-01T21:26:38.2025910Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-06-01T21:26:38.2026210Z     
2025-06-01T21:26:38.2026320Z             Example::
2025-06-01T21:26:38.2026450Z     
2025-06-01T21:26:38.2026580Z                 >>> my_lib = Library("_", "IMPL")
2025-06-01T21:26:38.2026810Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-06-01T21:26:38.2027070Z                 >>>     # Handle all autocast ops generically
2025-06-01T21:26:38.2027290Z                 >>>     # ...
2025-06-01T21:26:38.2027500Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-06-01T21:26:38.2027720Z             
2025-06-01T21:26:38.2028260Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-06-01T21:26:38.2028800Z     
2025-06-01T21:26:38.2028950Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-06-01T21:26:38.2029150Z     ^
2025-06-01T21:26:38.2029270Z       warnings.warn(msg)
2025-06-01T21:26:38.2029420Z     
2025-06-01T21:26:38.2029600Z --- Parse Warning: 2 / 118 ---
2025-06-01T21:26:38.2030450Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py line=954.
2025-06-01T21:26:38.2031350Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-06-01T21:26:38.2031700Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-06-01T21:26:38.2031940Z     
2025-06-01T21:26:38.2032110Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-06-01T21:26:38.2032320Z     
2025-06-01T21:26:38.2032530Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-06-01T21:26:38.2032870Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-06-01T21:26:38.2033270Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-06-01T21:26:38.2033560Z         what the properties of the output Tensors are.
2025-06-01T21:26:38.2033760Z     
2025-06-01T21:26:38.2033950Z         The FakeTensor implementation has the same signature as the operator.
2025-06-01T21:26:38.2034280Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-06-01T21:26:38.2034600Z         implementation, assume that all Tensor inputs to the operator are
2025-06-01T21:26:38.2034920Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-06-01T21:26:38.2035250Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-06-01T21:26:38.2035590Z         The FakeTensor implementation must consist of only PyTorch operations
2025-06-01T21:26:38.2035910Z         (and may not directly access the storage or data of any input or
2025-06-01T21:26:38.2036150Z         intermediate Tensors).
2025-06-01T21:26:38.2036290Z     
2025-06-01T21:26:38.2036440Z         This API may be used as a decorator (see examples).
2025-06-01T21:26:38.2036640Z     
2025-06-01T21:26:38.2036780Z         For a detailed guide on custom ops, please see
2025-06-01T21:26:38.2037080Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-06-01T21:26:38.2037320Z     
2025-06-01T21:26:38.2037420Z         Args:
2025-06-01T21:26:38.2037700Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-06-01T21:26:38.2038000Z             func: Fake tensor implementation.
2025-06-01T21:26:38.2038260Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-06-01T21:26:38.2038560Z             allow_override: Flag controlling if we want to override an
2025-06-01T21:26:38.2038840Z                             existing registered fake impl. This is by default off,
2025-06-01T21:26:38.2039130Z                             and will error you're trying to register a fake impl to
2025-06-01T21:26:38.2039410Z                             an operator that already has a fake impl. This also only
2025-06-01T21:26:38.2039690Z                             applies if the custom operator was not created via
2025-06-01T21:26:38.2039970Z                             torch.library.custom_op, as overriding and existing fake
2025-06-01T21:26:38.2040220Z                             impl is already allowed.
2025-06-01T21:26:38.2040400Z     
2025-06-01T21:26:38.2040500Z         Examples:
2025-06-01T21:26:38.2040630Z             >>> import torch
2025-06-01T21:26:38.2040790Z             >>> import numpy as np
2025-06-01T21:26:38.2040960Z             >>> from torch import Tensor
2025-06-01T21:26:38.2041130Z             >>>
2025-06-01T21:26:38.2041320Z             >>> # Example 1: an operator without data-dependent output shape
2025-06-01T21:26:38.2041630Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-06-01T21:26:38.2041960Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-06-01T21:26:38.2042270Z             >>>     raise NotImplementedError("Implementation goes here")
2025-06-01T21:26:38.2042480Z             >>>
2025-06-01T21:26:38.2042660Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-06-01T21:26:38.2042880Z             >>> def _(x, weight, bias):
2025-06-01T21:26:38.2043060Z             >>>     assert x.dim() == 2
2025-06-01T21:26:38.2043250Z             >>>     assert weight.dim() == 2
2025-06-01T21:26:38.2043440Z             >>>     assert bias.dim() == 1
2025-06-01T21:26:38.2043640Z             >>>     assert x.shape[1] == weight.shape[1]
2025-06-01T21:26:38.2043860Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-06-01T21:26:38.2044080Z             >>>     assert x.device == weight.device
2025-06-01T21:26:38.2044260Z             >>>
2025-06-01T21:26:38.2044400Z             >>>     return (x @ weight.t()) + bias
2025-06-01T21:26:38.2044580Z             >>>
2025-06-01T21:26:38.2044780Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-06-01T21:26:38.2045010Z             >>>     x = torch.randn(2, 3)
2025-06-01T21:26:38.2045190Z             >>>     w = torch.randn(3, 3)
2025-06-01T21:26:38.2045360Z             >>>     b = torch.randn(3)
2025-06-01T21:26:38.2045570Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-06-01T21:26:38.2045760Z             >>>
2025-06-01T21:26:38.2045890Z             >>> assert y.shape == (2, 3)
2025-06-01T21:26:38.2046050Z             >>>
2025-06-01T21:26:38.2046230Z             >>> # Example 2: an operator with data-dependent output shape
2025-06-01T21:26:38.2046590Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-06-01T21:26:38.2046900Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-06-01T21:26:38.2047110Z             >>>     x_np = x.numpy(force=True)
2025-06-01T21:26:38.2047320Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-06-01T21:26:38.2047550Z             >>>     return torch.tensor(res, device=x.device)
2025-06-01T21:26:38.2047740Z             >>>
2025-06-01T21:26:38.2047920Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-06-01T21:26:38.2048130Z             >>> def _(x):
2025-06-01T21:26:38.2048320Z             >>> # Number of nonzero-elements is data-dependent.
2025-06-01T21:26:38.2048570Z             >>> # Since we cannot peek at the data in an fake impl,
2025-06-01T21:26:38.2048880Z             >>> # we use the ctx object to construct a new symint that
2025-06-01T21:26:38.2049120Z             >>> # represents the data-dependent size.
2025-06-01T21:26:38.2049340Z             >>>     ctx = torch.library.get_ctx()
2025-06-01T21:26:38.2049540Z             >>>     nnz = ctx.new_dynamic_size()
2025-06-01T21:26:38.2049740Z             >>>     shape = [nnz, x.dim()]
2025-06-01T21:26:38.2049950Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-06-01T21:26:38.2050160Z             >>>     return result
2025-06-01T21:26:38.2050320Z             >>>
2025-06-01T21:26:38.2050500Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-06-01T21:26:38.2050720Z             >>>
2025-06-01T21:26:38.2050860Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-06-01T21:26:38.2051150Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-06-01T21:26:38.2051420Z             >>> trace.print_readable()
2025-06-01T21:26:38.2051590Z             >>>
2025-06-01T21:26:38.2051800Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-06-01T21:26:38.2052040Z     
2025-06-01T21:26:38.2052140Z         
2025-06-01T21:26:38.2052520Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-06-01T21:26:38.2052920Z     
2025-06-01T21:26:38.2053010Z     _._ = None
2025-06-01T21:26:38.2053130Z     ^
2025-06-01T21:26:38.2053240Z       warnings.warn(msg)
2025-06-01T21:26:38.2053380Z     
2025-06-01T21:26:38.2053540Z --- Parse Warning: 3 / 118 ---
2025-06-01T21:26:38.2054360Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_autograd in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py line=1089.
2025-06-01T21:26:38.2055260Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2055340Z     Register a backward formula for this custom op.
2025-06-01T21:26:38.2055380Z     
2025-06-01T21:26:38.2055510Z         In order for an operator to work with autograd, you need to register
2025-06-01T21:26:38.2055560Z         a backward formula:
2025-06-01T21:26:38.2055690Z         1. You must tell us how to compute gradients during the backward pass
2025-06-01T21:26:38.2055760Z         by providing us a "backward" function.
2025-06-01T21:26:38.2055940Z         2. If you need any values from the forward to compute gradients, you can
2025-06-01T21:26:38.2056030Z         use `setup_context` to save values for backward.
2025-06-01T21:26:38.2056070Z     
2025-06-01T21:26:38.2056200Z         ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``:
2025-06-01T21:26:38.2056320Z         - ``grads`` is one or more gradients. The number of gradients matches
2025-06-01T21:26:38.2056390Z         the number of outputs of the operator.
2025-06-01T21:26:38.2056540Z         The ``ctx`` object is `the same ctx object <context_method_mixins>`_ used by
2025-06-01T21:26:38.2056710Z         :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the
2025-06-01T21:26:38.2056800Z         same as :meth:`torch.autograd.Function.backward`.
2025-06-01T21:26:38.2056840Z     
2025-06-01T21:26:38.2056970Z         ``setup_context(ctx, inputs, output)`` runs during the forward pass.
2025-06-01T21:26:38.2057110Z         Please save quantities needed for backward onto the ``ctx`` object via
2025-06-01T21:26:38.2057240Z         either :meth:`torch.autograd.function.FunctionCtx.save_for_backward`
2025-06-01T21:26:38.2057370Z         or assigning them as attributes of ``ctx``. If your custom op has
2025-06-01T21:26:38.2057500Z         kwarg-only arguments, we expect the signature of ``setup_context``
2025-06-01T21:26:38.2057610Z         to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``.
2025-06-01T21:26:38.2057690Z     
2025-06-01T21:26:38.2057820Z         Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is,
2025-06-01T21:26:38.2057960Z         they may not directly access :meth:`torch.Tensor.data_ptr` and they must
2025-06-01T21:26:38.2058100Z         not depend on or mutate global state. If you need a non-traceable backward,
2025-06-01T21:26:38.2058240Z         you can make it a separate custom_op that you call inside ``backward_fn``.
2025-06-01T21:26:38.2058280Z     
2025-06-01T21:26:38.2058410Z         If you need different autograd behavior on different devices, then we
2025-06-01T21:26:38.2058540Z         recommend creating two different custom operators, one for each device
2025-06-01T21:26:38.2058670Z         that needs different behavior, and switching between them at runtime.
2025-06-01T21:26:38.2058710Z     
2025-06-01T21:26:38.2058760Z         Examples:
2025-06-01T21:26:38.2058810Z             >>> import torch
2025-06-01T21:26:38.2058860Z             >>> import numpy as np
2025-06-01T21:26:38.2058930Z             >>> from torch import Tensor
2025-06-01T21:26:38.2058970Z             >>>
2025-06-01T21:26:38.2059100Z             >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=())
2025-06-01T21:26:38.2059170Z             >>> def numpy_sin(x: Tensor) -> Tensor:
2025-06-01T21:26:38.2059230Z             >>>     x_np = x.cpu().numpy()
2025-06-01T21:26:38.2059290Z             >>>     y_np = np.sin(x_np)
2025-06-01T21:26:38.2059380Z             >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-06-01T21:26:38.2059420Z             >>>
2025-06-01T21:26:38.2059520Z             >>> def setup_context(ctx, inputs, output) -> Tensor:
2025-06-01T21:26:38.2059570Z             >>>     x, = inputs
2025-06-01T21:26:38.2059630Z             >>>     ctx.save_for_backward(x)
2025-06-01T21:26:38.2059670Z             >>>
2025-06-01T21:26:38.2059730Z             >>> def backward(ctx, grad):
2025-06-01T21:26:38.2059780Z             >>>     x, = ctx.saved_tensors
2025-06-01T21:26:38.2059840Z             >>>     return grad * x.cos()
2025-06-01T21:26:38.2059880Z             >>>
2025-06-01T21:26:38.2059950Z             >>> torch.library.register_autograd(
2025-06-01T21:26:38.2060060Z             ...     "mylib::numpy_sin", backward, setup_context=setup_context
2025-06-01T21:26:38.2060100Z             ... )
2025-06-01T21:26:38.2060140Z             >>>
2025-06-01T21:26:38.2060220Z             >>> x = torch.randn(3, requires_grad=True)
2025-06-01T21:26:38.2060270Z             >>> y = numpy_sin(x)
2025-06-01T21:26:38.2060430Z             >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-06-01T21:26:38.2060500Z             >>> assert torch.allclose(grad_x, x.cos())
2025-06-01T21:26:38.2060540Z             >>>
2025-06-01T21:26:38.2060610Z             >>> # Example with a keyword-only arg
2025-06-01T21:26:38.2060740Z             >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-06-01T21:26:38.2060830Z             >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor:
2025-06-01T21:26:38.2060890Z             >>>     x_np = x.cpu().numpy()
2025-06-01T21:26:38.2060970Z             >>>     y_np = x_np * val
2025-06-01T21:26:38.2061080Z             >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-06-01T21:26:38.2061130Z             >>>
2025-06-01T21:26:38.2061260Z             >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor:
2025-06-01T21:26:38.2061340Z             >>>     ctx.val = keyword_only_inputs["val"]
2025-06-01T21:26:38.2061390Z             >>>
2025-06-01T21:26:38.2061440Z             >>> def backward(ctx, grad):
2025-06-01T21:26:38.2061500Z             >>>     return grad * ctx.val
2025-06-01T21:26:38.2061540Z             >>>
2025-06-01T21:26:38.2061610Z             >>> torch.library.register_autograd(
2025-06-01T21:26:38.2061720Z             ...     "mylib::numpy_mul", backward, setup_context=setup_context
2025-06-01T21:26:38.2061760Z             ... )
2025-06-01T21:26:38.2061800Z             >>>
2025-06-01T21:26:38.2061900Z             >>> x = torch.randn(3, requires_grad=True)
2025-06-01T21:26:38.2061960Z             >>> y = numpy_mul(x, val=3.14)
2025-06-01T21:26:38.2062070Z             >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-06-01T21:26:38.2062180Z             >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14))
2025-06-01T21:26:38.2062220Z     
2025-06-01T21:26:38.2062260Z         
2025-06-01T21:26:38.2062410Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2062450Z     
2025-06-01T21:26:38.2062500Z       warnings.warn(msg)
2025-06-01T21:26:38.2062540Z     
2025-06-01T21:26:38.2062640Z --- Parse Warning: 4 / 118 ---
2025-06-01T21:26:38.2063310Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=opcheck in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py line=1503.
2025-06-01T21:26:38.2063460Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2063590Z     Given an operator and some sample arguments, tests if the operator is
2025-06-01T21:26:38.2063650Z         registered correctly.
2025-06-01T21:26:38.2063690Z     
2025-06-01T21:26:38.2063810Z         That is, when you use the torch.library/TORCH_LIBRARY APIs to create a
2025-06-01T21:26:38.2063960Z         custom op, you specified metadata (e.g. mutability info) about the custom op
2025-06-01T21:26:38.2064100Z         and these APIs require that the functions you pass them satisfy certain
2025-06-01T21:26:38.2064230Z         properties (e.g. no data pointer access in the fake/meta/abstract kernel)
2025-06-01T21:26:38.2064320Z         ``opcheck`` tests these metadata and properties.
2025-06-01T21:26:38.2064360Z     
2025-06-01T21:26:38.2064430Z         Concretely, we test the following:
2025-06-01T21:26:38.2064460Z     
2025-06-01T21:26:38.2064570Z         - test_schema: If the schema matches the implementation of
2025-06-01T21:26:38.2064710Z           the operator. For example: if the schema specifies a Tensor is mutated,
2025-06-01T21:26:38.2064840Z           then we check the implementation mutates the Tensor. If the schema
2025-06-01T21:26:38.2064950Z           specifies that we return a new Tensor, then we check that the
2025-06-01T21:26:38.2065080Z           implementation returns a new Tensor (instead of an existing one or
2025-06-01T21:26:38.2065160Z           a view of an existing one).
2025-06-01T21:26:38.2065290Z         - test_autograd_registration: If the operator supports training
2025-06-01T21:26:38.2065410Z           (autograd): we check that its autograd formula is registered via
2025-06-01T21:26:38.2065530Z           torch.library.register_autograd or a manual registration to one
2025-06-01T21:26:38.2065650Z           or more DispatchKey::Autograd keys. Any other DispatchKey-based
2025-06-01T21:26:38.2065730Z           registrations may lead to undefined behavior.
2025-06-01T21:26:38.2065840Z         - test_faketensor: If the operator has a FakeTensor kernel
2025-06-01T21:26:38.2065970Z           (and if it is correct). The FakeTensor kernel is necessary (
2025-06-01T21:26:38.2066120Z           but not sufficient) for the operator to work with PyTorch compilation
2025-06-01T21:26:38.2066240Z           APIs (torch.compile/export/FX). We check that a FakeTensor kernel
2025-06-01T21:26:38.2066370Z           (also sometimes known as a meta kernel) was registered for the
2025-06-01T21:26:38.2066480Z           operator and that it is correct. This test takes the result of
2025-06-01T21:26:38.2066600Z           running the operator on real tensors and the result of running
2025-06-01T21:26:38.2066710Z           the operator on FakeTensors and checks that they have the same
2025-06-01T21:26:38.2066800Z           Tensor metadata (sizes/strides/dtype/device/etc).
2025-06-01T21:26:38.2066960Z         - test_aot_dispatch_dynamic: If the operator has correct behavior
2025-06-01T21:26:38.2067080Z           with PyTorch compilation APIs (torch.compile/export/FX).
2025-06-01T21:26:38.2067200Z           This checks that the outputs (and gradients, if applicable) are the
2025-06-01T21:26:38.2067300Z           same under eager-mode PyTorch and torch.compile.
2025-06-01T21:26:38.2067410Z           This test is a superset of ``test_faketensor`` and is an e2e test;
2025-06-01T21:26:38.2072460Z           other things it tests are that the operator supports
2025-06-01T21:26:38.2072630Z           functionalization and that the backward pass (if it exists) also
2025-06-01T21:26:38.2072710Z           supports FakeTensor and functionalization.
2025-06-01T21:26:38.2072750Z     
2025-06-01T21:26:38.2072870Z         For best results, please call ``opcheck`` multiple times with a
2025-06-01T21:26:38.2072980Z         representative set of inputs. If your operator supports
2025-06-01T21:26:38.2073120Z         autograd, please use ``opcheck`` with inputs with ``requires_grad = True``;
2025-06-01T21:26:38.2073250Z         if your operator supports multiple devices (e.g. CPU and CUDA), please
2025-06-01T21:26:38.2073350Z         use ``opcheck`` with inputs on all supported devices.
2025-06-01T21:26:38.2073390Z     
2025-06-01T21:26:38.2073430Z         Args:
2025-06-01T21:26:38.2073550Z             op: The operator. Must either be a function decorated with
2025-06-01T21:26:38.2073680Z                 :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket
2025-06-01T21:26:38.2073810Z                 found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo)
2025-06-01T21:26:38.2073880Z             args: The args to the operator
2025-06-01T21:26:38.2073950Z             kwargs: The kwargs to the operator
2025-06-01T21:26:38.2074060Z             test_utils: Tests that we should run. Default: all of them.
2025-06-01T21:26:38.2074150Z                 Example: ("test_schema", "test_faketensor")
2025-06-01T21:26:38.2074280Z             raise_exception: If we should raise an exception on the first
2025-06-01T21:26:38.2074400Z                 error. If False, we will return a dict with information
2025-06-01T21:26:38.2074480Z                 on if each test passed or not.
2025-06-01T21:26:38.2074640Z             rtol (Optional[float]): Relative tolerance for floating point comparisons.
2025-06-01T21:26:38.2074730Z                 If specified ``atol`` must also be specified.
2025-06-01T21:26:38.2074850Z                 If omitted, default values based on the ``dtype`` are selected
2025-06-01T21:26:38.2075100Z                 (see the table in :func:`torch.testing.assert_close`).
2025-06-01T21:26:38.2075260Z             atol (Optional[float]): Absolute tolerance for floating point comparisons.
2025-06-01T21:26:38.2075350Z                 If specified ``rtol`` must also be specified.
2025-06-01T21:26:38.2075480Z                 If omitted, default values based on the ``dtype`` are selected
2025-06-01T21:26:38.2075590Z                 (see the table in :func:`torch.testing.assert_close`).
2025-06-01T21:26:38.2075640Z     
2025-06-01T21:26:38.2075690Z         .. warning::
2025-06-01T21:26:38.2075740Z     
2025-06-01T21:26:38.2075940Z             opcheck and :func:`torch.autograd.gradcheck` test different things;
2025-06-01T21:26:38.2076100Z             opcheck tests if your usage of torch.library APIs is correct while
2025-06-01T21:26:38.2076230Z             :func:`torch.autograd.gradcheck` tests if your autograd formula is
2025-06-01T21:26:38.2076360Z             mathematically correct. Use both to test custom ops that support
2025-06-01T21:26:38.2076420Z             gradient computation.
2025-06-01T21:26:38.2076460Z     
2025-06-01T21:26:38.2076500Z         Example:
2025-06-01T21:26:38.2076540Z     
2025-06-01T21:26:38.2076620Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-06-01T21:26:38.2076750Z             >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-06-01T21:26:38.2076830Z             >>> def numpy_mul(x: Tensor, y: float) -> Tensor:
2025-06-01T21:26:38.2076940Z             >>>     x_np = x.numpy(force=True)
2025-06-01T21:26:38.2078020Z Running test_autoload_disable 1/1 ... [2025-06-01 21:26:38.196331]
2025-06-01T21:26:38.2078070Z             >>>     z_np = x_np * y
2025-06-01T21:26:38.2078160Z             >>>     return torch.from_numpy(z_np).to(x.device)
2025-06-01T21:26:38.2078200Z             >>>
2025-06-01T21:26:38.2078260Z             >>> @numpy_mul.register_fake
2025-06-01T21:26:38.2078310Z             >>> def _(x, y):
2025-06-01T21:26:38.2078380Z             >>>     return torch.empty_like(x)
2025-06-01T21:26:38.2078420Z             >>>
2025-06-01T21:26:38.2078500Z             >>> def setup_context(ctx, inputs, output):
2025-06-01T21:26:38.2078550Z             >>>     y, = inputs
2025-06-01T21:26:38.2078600Z             >>>     ctx.y = y
2025-06-01T21:26:38.2078640Z             >>>
2025-06-01T21:26:38.2078690Z             >>> def backward(ctx, grad):
2025-06-01T21:26:38.2078760Z             >>>     return grad * ctx.y, None
2025-06-01T21:26:38.2078800Z             >>>
2025-06-01T21:26:38.2078930Z             >>> numpy_mul.register_autograd(backward, setup_context=setup_context)
2025-06-01T21:26:38.2078970Z             >>>
2025-06-01T21:26:38.2079030Z             >>> sample_inputs = [
2025-06-01T21:26:38.2079090Z             >>>     (torch.randn(3), 3.14),
2025-06-01T21:26:38.2079170Z             >>>     (torch.randn(2, 3, device='cuda'), 2.718),
2025-06-01T21:26:38.2079260Z             >>>     (torch.randn(1, 10, requires_grad=True), 1.234),
2025-06-01T21:26:38.2079380Z             >>>     (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18),
2025-06-01T21:26:38.2079420Z             >>> ]
2025-06-01T21:26:38.2079460Z             >>>
2025-06-01T21:26:38.2079520Z             >>> for args in sample_inputs:
2025-06-01T21:26:38.2079610Z             >>>     torch.library.opcheck(numpy_mul, args)
2025-06-01T21:26:38.2079640Z     
2025-06-01T21:26:38.2079680Z         
2025-06-01T21:26:38.2079840Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2079870Z     
2025-06-01T21:26:38.2079930Z       warnings.warn(msg)
2025-06-01T21:26:38.2079970Z     
2025-06-01T21:26:38.2080130Z --- Parse Warning: 5 / 118 ---
2025-06-01T21:26:38.2080820Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Tensor.dim_order in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py line=1509.
2025-06-01T21:26:38.2081010Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2081050Z     
2025-06-01T21:26:38.2081130Z     dim_order(ambiguity_check=False) -> tuple
2025-06-01T21:26:38.2081160Z     
2025-06-01T21:26:38.2081300Z     Returns the uniquely determined tuple of int describing the dim order or
2025-06-01T21:26:38.2081360Z     physical layout of :attr:`self`.
2025-06-01T21:26:38.2081400Z     
2025-06-01T21:26:38.2081550Z     The dim order represents how dimensions are laid out in memory of dense tensors,
2025-06-01T21:26:38.2081700Z     starting from the outermost to the innermost dimension.
2025-06-01T21:26:38.2081760Z     
2025-06-01T21:26:38.2081870Z     Note that the dim order may not always be uniquely determined.
2025-06-01T21:26:38.2082100Z     If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined;
2025-06-01T21:26:38.2082340Z     If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted
2025-06-01T21:26:38.2082490Z     into exactly one of the given memory formats, or it cannot be uniquely determined.
2025-06-01T21:26:38.2082680Z     If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness.
2025-06-01T21:26:38.2082750Z     Otherwise, it will raise TypeError.
2025-06-01T21:26:38.2082780Z     
2025-06-01T21:26:38.2082860Z     Args:
2025-06-01T21:26:38.2083050Z         ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order.
2025-06-01T21:26:38.2083090Z     
2025-06-01T21:26:38.2083140Z     Examples::
2025-06-01T21:26:38.2083180Z     
2025-06-01T21:26:38.2083250Z         >>> torch.empty((2, 3, 5, 7)).dim_order()
2025-06-01T21:26:38.2083290Z         (0, 1, 2, 3)
2025-06-01T21:26:38.2083390Z         >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order()
2025-06-01T21:26:38.2083430Z         (0, 2, 1, 3)
2025-06-01T21:26:38.2083560Z         >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order()
2025-06-01T21:26:38.2083600Z         (0, 2, 3, 1)
2025-06-01T21:26:38.2083670Z         >>> torch.empty((1, 2, 3, 4)).dim_order()
2025-06-01T21:26:38.2083710Z         (0, 1, 2, 3)
2025-06-01T21:26:38.2083750Z         >>> try:
2025-06-01T21:26:38.2083860Z         ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True)
2025-06-01T21:26:38.2083920Z         ... except RuntimeError as e:
2025-06-01T21:26:38.2083960Z         ...     print(e)
2025-06-01T21:26:38.2084150Z         The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
2025-06-01T21:26:38.2084220Z         >>> torch.empty((1, 2, 3, 4)).dim_order(
2025-06-01T21:26:38.2084350Z         ...     ambiguity_check=[torch.contiguous_format, torch.channels_last]
2025-06-01T21:26:38.2084430Z         ... )  # It can be mapped to contiguous format
2025-06-01T21:26:38.2084470Z         (0, 1, 2, 3)
2025-06-01T21:26:38.2084510Z         >>> try:
2025-06-01T21:26:38.2084620Z         ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL")
2025-06-01T21:26:38.2084680Z         ... except TypeError as e:
2025-06-01T21:26:38.2084730Z         ...     print(e)
2025-06-01T21:26:38.2084870Z         The ambiguity_check argument must be a bool or a list of memory formats.
2025-06-01T21:26:38.2084900Z     
2025-06-01T21:26:38.2084950Z     .. warning::
2025-06-01T21:26:38.2085060Z         The dim_order tensor API is experimental and subject to change.
2025-06-01T21:26:38.2085100Z     
2025-06-01T21:26:38.2085250Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2085290Z     
2025-06-01T21:26:38.2085340Z       warnings.warn(msg)
2025-06-01T21:26:38.2085380Z     
2025-06-01T21:26:38.2085480Z --- Parse Warning: 6 / 118 ---
2025-06-01T21:26:38.2086120Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/hub.py line=560.
2025-06-01T21:26:38.2086330Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2086370Z     
2025-06-01T21:26:38.2086460Z     Load a model from a github repo or a local directory.
2025-06-01T21:26:38.2086500Z     
2025-06-01T21:26:38.2086640Z     Note: Loading a model is the typical use case, but this can also be used to
2025-06-01T21:26:38.2086790Z     for loading other objects such as tokenizers, loss functions, etc.
2025-06-01T21:26:38.2086850Z     
2025-06-01T21:26:38.2086950Z     If ``source`` is 'github', ``repo_or_dir`` is expected to be
2025-06-01T21:26:38.2087060Z     of the form ``repo_owner/repo_name[:ref]`` with an optional
2025-06-01T21:26:38.2087110Z     ref (a tag or a branch).
2025-06-01T21:26:38.2087150Z     
2025-06-01T21:26:38.2087250Z     If ``source`` is 'local', ``repo_or_dir`` is expected to be a
2025-06-01T21:26:38.2087310Z     path to a local directory.
2025-06-01T21:26:38.2087350Z     
2025-06-01T21:26:38.2087390Z     Args:
2025-06-01T21:26:38.2087470Z         repo_or_dir (str): If ``source`` is 'github',
2025-06-01T21:26:38.2087640Z             this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
2025-06-01T21:26:38.2087860Z             an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
2025-06-01T21:26:38.2088020Z             the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
2025-06-01T21:26:38.2088160Z             If ``source`` is 'local'  then it should be a path to a local directory.
2025-06-01T21:26:38.2088280Z         model (str): the name of a callable (entrypoint) defined in the
2025-06-01T21:26:38.2088340Z             repo/dir's ``hubconf.py``.
2025-06-01T21:26:38.2088460Z         *args (optional): the corresponding args for callable ``model``.
2025-06-01T21:26:38.2088570Z         source (str, optional): 'github' or 'local'. Specifies how
2025-06-01T21:26:38.2088670Z             ``repo_or_dir`` is to be interpreted. Default is 'github'.
2025-06-01T21:26:38.2088800Z         trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
2025-06-01T21:26:38.2088940Z             This parameter was introduced in v1.12 and helps ensuring that users
2025-06-01T21:26:38.2089020Z             only run code from repos that they trust.
2025-06-01T21:26:38.2089060Z     
2025-06-01T21:26:38.2089180Z             - If ``False``, a prompt will ask the user whether the repo should
2025-06-01T21:26:38.2089230Z               be trusted.
2025-06-01T21:26:38.2089340Z             - If ``True``, the repo will be added to the trusted list and loaded
2025-06-01T21:26:38.2089420Z               without requiring explicit confirmation.
2025-06-01T21:26:38.2089530Z             - If ``"check"``, the repo will be checked against the list of
2025-06-01T21:26:38.2089650Z               trusted repos in the cache. If it is not present in that list, the
2025-06-01T21:26:38.2089770Z               behaviour will fall back onto the ``trust_repo=False`` option.
2025-06-01T21:26:38.2089880Z             - If ``None``: this will raise a warning, inviting the user to set
2025-06-01T21:26:38.2089990Z               ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
2025-06-01T21:26:38.2090120Z               is only present for backward compatibility and will be removed in
2025-06-01T21:26:38.2090160Z               v2.0.
2025-06-01T21:26:38.2090200Z     
2025-06-01T21:26:38.2090330Z             Default is ``None`` and will eventually change to ``"check"`` in v2.0.
2025-06-01T21:26:38.2090460Z         force_reload (bool, optional): whether to force a fresh download of
2025-06-01T21:26:38.2090570Z             the github repo unconditionally. Does not have any effect if
2025-06-01T21:26:38.2090670Z             ``source = 'local'``. Default is ``False``.
2025-06-01T21:26:38.2090800Z         verbose (bool, optional): If ``False``, mute messages about hitting
2025-06-01T21:26:38.2090920Z             local caches. Note that the message about first download cannot be
2025-06-01T21:26:38.2091020Z             muted. Does not have any effect if ``source = 'local'``.
2025-06-01T21:26:38.2091080Z             Default is ``True``.
2025-06-01T21:26:38.2091250Z         skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
2025-06-01T21:26:38.2091440Z             specified by the ``github`` argument properly belongs to the repo owner. This will make
2025-06-01T21:26:38.2091620Z             requests to the GitHub API; you can specify a non-default GitHub token by setting the
2025-06-01T21:26:38.2091730Z             ``GITHUB_TOKEN`` environment variable. Default is ``False``.
2025-06-01T21:26:38.2091860Z         **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-06-01T21:26:38.2091900Z     
2025-06-01T21:26:38.2091940Z     Returns:
2025-06-01T21:26:38.2092060Z         The output of the ``model`` callable when called with the given
2025-06-01T21:26:38.2092120Z         ``*args`` and ``**kwargs``.
2025-06-01T21:26:38.2092160Z     
2025-06-01T21:26:38.2092200Z     Example:
2025-06-01T21:26:38.2092280Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-06-01T21:26:38.2092330Z         >>> # from a github repo
2025-06-01T21:26:38.2092620Z         >>> repo = "pytorch/vision"
2025-06-01T21:26:38.2092690Z         >>> model = torch.hub.load(
2025-06-01T21:26:38.2092800Z         ...     repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
2025-06-01T21:26:38.2092840Z         ... )
2025-06-01T21:26:38.2092900Z         >>> # from a local directory
2025-06-01T21:26:38.2092980Z         >>> path = "/some/local/path/pytorch/vision"
2025-06-01T21:26:38.2093030Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2093180Z         >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
2025-06-01T21:26:38.2093220Z     
2025-06-01T21:26:38.2093370Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2093400Z     
2025-06-01T21:26:38.2093450Z       warnings.warn(msg)
2025-06-01T21:26:38.2093490Z     
2025-06-01T21:26:38.2093590Z --- Parse Warning: 7 / 118 ---
2025-06-01T21:26:38.2094250Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_load_local in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/hub.py line=652.
2025-06-01T21:26:38.2094410Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2094450Z     
2025-06-01T21:26:38.2094560Z     Load a model from a local directory with a ``hubconf.py``.
2025-06-01T21:26:38.2094600Z     
2025-06-01T21:26:38.2094640Z     Args:
2025-06-01T21:26:38.2094750Z         hubconf_dir (str): path to a local directory that contains a
2025-06-01T21:26:38.2094800Z             ``hubconf.py``.
2025-06-01T21:26:38.2094910Z         model (str): name of an entrypoint defined in the directory's
2025-06-01T21:26:38.2094960Z             ``hubconf.py``.
2025-06-01T21:26:38.2095080Z         *args (optional): the corresponding args for callable ``model``.
2025-06-01T21:26:38.2095210Z         **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-06-01T21:26:38.2095250Z     
2025-06-01T21:26:38.2095290Z     Returns:
2025-06-01T21:26:38.2095390Z         a single model with corresponding pretrained weights.
2025-06-01T21:26:38.2095430Z     
2025-06-01T21:26:38.2095470Z     Example:
2025-06-01T21:26:38.2095540Z         >>> # xdoctest: +SKIP("stub local path")
2025-06-01T21:26:38.2095620Z         >>> path = "/some/local/path/pytorch/vision"
2025-06-01T21:26:38.2095670Z         >>> model = _load_local(
2025-06-01T21:26:38.2095720Z         ...     path,
2025-06-01T21:26:38.2095820Z         ...     "resnet50",
2025-06-01T21:26:38.2095910Z         ...     weights="ResNet50_Weights.IMAGENET1K_V1",
2025-06-01T21:26:38.2095950Z         ... )
2025-06-01T21:26:38.2095990Z     
2025-06-01T21:26:38.2096140Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2096180Z     
2025-06-01T21:26:38.2096240Z       warnings.warn(msg)
2025-06-01T21:26:38.2096280Z     
2025-06-01T21:26:38.2096390Z --- Parse Warning: 8 / 118 ---
2025-06-01T21:26:38.2097150Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=download_url_to_file in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/hub.py line=691.
2025-06-01T21:26:38.2097360Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2097450Z     Download object at the given URL to a local path.
2025-06-01T21:26:38.2097490Z     
2025-06-01T21:26:38.2097530Z         Args:
2025-06-01T21:26:38.2097600Z             url (str): URL of the object to download
2025-06-01T21:26:38.2097750Z             dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
2025-06-01T21:26:38.2097940Z             hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
2025-06-01T21:26:38.2098000Z                 Default: None
2025-06-01T21:26:38.2098170Z             progress (bool, optional): whether or not to display a progress bar to stderr
2025-06-01T21:26:38.2098220Z                 Default: True
2025-06-01T21:26:38.2098260Z     
2025-06-01T21:26:38.2098300Z         Example:
2025-06-01T21:26:38.2098390Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-06-01T21:26:38.2098450Z             >>> # xdoctest: +REQUIRES(POSIX)
2025-06-01T21:26:38.2098520Z             >>> torch.hub.download_url_to_file(
2025-06-01T21:26:38.2098660Z             ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
2025-06-01T21:26:38.2098720Z             ...     "/tmp/temporary_file",
2025-06-01T21:26:38.2098760Z             ... )
2025-06-01T21:26:38.2098800Z     
2025-06-01T21:26:38.2098840Z         
2025-06-01T21:26:38.2098990Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2099030Z     
2025-06-01T21:26:38.2099080Z       warnings.warn(msg)
2025-06-01T21:26:38.2099120Z     
2025-06-01T21:26:38.2099210Z --- Parse Warning: 9 / 118 ---
2025-06-01T21:26:38.2099900Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_state_dict_from_url in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/hub.py line=816.
2025-06-01T21:26:38.2100050Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2100150Z     Loads the Torch serialized object at the given URL.
2025-06-01T21:26:38.2100180Z     
2025-06-01T21:26:38.2100290Z         If downloaded file is a zip file, it will be automatically
2025-06-01T21:26:38.2100340Z         decompressed.
2025-06-01T21:26:38.2100380Z     
2025-06-01T21:26:38.2100510Z         If the object is already present in `model_dir`, it's deserialized and
2025-06-01T21:26:38.2100560Z         returned.
2025-06-01T21:26:38.2100680Z         The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
2025-06-01T21:26:38.2100810Z         ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
2025-06-01T21:26:38.2100850Z     
2025-06-01T21:26:38.2100890Z         Args:
2025-06-01T21:26:38.2100970Z             url (str): URL of the object to download
2025-06-01T21:26:38.2101090Z             model_dir (str, optional): directory in which to save the object
2025-06-01T21:26:38.2101290Z             map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load)
2025-06-01T21:26:38.2101480Z             progress (bool, optional): whether or not to display a progress bar to stderr.
2025-06-01T21:26:38.2101530Z                 Default: True
2025-06-01T21:26:38.2101730Z             check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
2025-06-01T21:26:38.2101870Z                 ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
2025-06-01T21:26:38.2102010Z                 digits of the SHA256 hash of the contents of the file. The hash is used to
2025-06-01T21:26:38.2102160Z                 ensure unique names and to verify the contents of the file.
2025-06-01T21:26:38.2102230Z                 Default: False
2025-06-01T21:26:38.2102430Z             file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
2025-06-01T21:26:38.2102620Z             weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
2025-06-01T21:26:38.2102780Z                 Recommended for untrusted sources. See :func:`~torch.load` for more details.
2025-06-01T21:26:38.2102820Z     
2025-06-01T21:26:38.2102860Z         Example:
2025-06-01T21:26:38.2102940Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-06-01T21:26:38.2103040Z             >>> state_dict = torch.hub.load_state_dict_from_url(
2025-06-01T21:26:38.2103200Z             ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
2025-06-01T21:26:38.2103250Z             ... )
2025-06-01T21:26:38.2103300Z     
2025-06-01T21:26:38.2103340Z         
2025-06-01T21:26:38.2103510Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2103560Z     
2025-06-01T21:26:38.2103610Z       warnings.warn(msg)
2025-06-01T21:26:38.2103650Z     
2025-06-01T21:26:38.2103750Z --- Parse Warning: 10 / 118 ---
2025-06-01T21:26:38.2104420Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=meshgrid in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py line=446.
2025-06-01T21:26:38.2104580Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2104720Z     Creates grids of coordinates specified by the 1D inputs in `attr`:tensors.
2025-06-01T21:26:38.2104760Z     
2025-06-01T21:26:38.2104870Z             This is helpful when you want to visualize data over some
2025-06-01T21:26:38.2104970Z             range of inputs. See below for a plotting example.
2025-06-01T21:26:38.2105000Z     
2025-06-01T21:26:38.2105110Z             Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as
2025-06-01T21:26:38.2105220Z             inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`,
2025-06-01T21:26:38.2105340Z             this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots
2025-06-01T21:26:38.2105440Z             G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where
2025-06-01T21:26:38.2105550Z             the output :math:`G_i` is constructed by expanding :math:`T_i`
2025-06-01T21:26:38.2105610Z             to the result shape.
2025-06-01T21:26:38.2105650Z     
2025-06-01T21:26:38.2105690Z             .. note::
2025-06-01T21:26:38.2105790Z                 0D inputs are treated equivalently to 1D inputs of a
2025-06-01T21:26:38.2105840Z                 single element.
2025-06-01T21:26:38.2105880Z     
2025-06-01T21:26:38.2105930Z             .. warning::
2025-06-01T21:26:38.2106040Z                 `torch.meshgrid(*tensors)` currently has the same behavior
2025-06-01T21:26:38.2106140Z                 as calling `numpy.meshgrid(*arrays, indexing='ij')`.
2025-06-01T21:26:38.2106180Z     
2025-06-01T21:26:38.2106270Z                 In the future `torch.meshgrid` will transition to
2025-06-01T21:26:38.2106370Z                 `indexing='xy'` as the default.
2025-06-01T21:26:38.2106410Z     
2025-06-01T21:26:38.2106520Z                 https://github.com/pytorch/pytorch/issues/50276 tracks
2025-06-01T21:26:38.2106630Z                 this issue with the goal of migrating to NumPy's behavior.
2025-06-01T21:26:38.2106660Z     
2025-06-01T21:26:38.2106720Z             .. seealso::
2025-06-01T21:26:38.2106760Z     
2025-06-01T21:26:38.2106860Z                 :func:`torch.cartesian_prod` has the same effect but it
2025-06-01T21:26:38.2106940Z                 collects the data in a tensor of vectors.
2025-06-01T21:26:38.2106980Z     
2025-06-01T21:26:38.2107040Z             Args:
2025-06-01T21:26:38.2107220Z                 tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be
2025-06-01T21:26:38.2107330Z                     treated as tensors of size :math:`(1,)` automatically
2025-06-01T21:26:38.2107370Z     
2025-06-01T21:26:38.2107480Z                 indexing: (str, optional): the indexing mode, either "xy"
2025-06-01T21:26:38.2107580Z                     or "ij", defaults to "ij". See warning for future changes.
2025-06-01T21:26:38.2107620Z     
2025-06-01T21:26:38.2107720Z                     If "xy" is selected, the first dimension corresponds
2025-06-01T21:26:38.2107820Z                     to the cardinality of the second input and the second
2025-06-01T21:26:38.2107920Z                     dimension corresponds to the cardinality of the first
2025-06-01T21:26:38.2107980Z                     input.
2025-06-01T21:26:38.2108020Z     
2025-06-01T21:26:38.2108120Z                     If "ij" is selected, the dimensions are in the same
2025-06-01T21:26:38.2108200Z                     order as the cardinality of the inputs.
2025-06-01T21:26:38.2108240Z     
2025-06-01T21:26:38.2108280Z             Returns:
2025-06-01T21:26:38.2108380Z                 seq (sequence of Tensors): If the input has :math:`N`
2025-06-01T21:26:38.2108480Z                 tensors of size :math:`S_0 \ldots S_{N-1}``, then the
2025-06-01T21:26:38.2108590Z                 output will also have :math:`N` tensors, where each tensor
2025-06-01T21:26:38.2108670Z                 is of shape :math:`(S_0, ..., S_{N-1})`.
2025-06-01T21:26:38.2108710Z     
2025-06-01T21:26:38.2108750Z             Example::
2025-06-01T21:26:38.2108790Z     
2025-06-01T21:26:38.2108860Z                 >>> x = torch.tensor([1, 2, 3])
2025-06-01T21:26:38.2108920Z                 >>> y = torch.tensor([4, 5, 6])
2025-06-01T21:26:38.2108960Z     
2025-06-01T21:26:38.2109070Z                 Observe the element-wise pairings across the grid, (1, 4),
2025-06-01T21:26:38.2109160Z                 (1, 5), ..., (3, 6). This is the same thing as the
2025-06-01T21:26:38.2109220Z                 cartesian product.
2025-06-01T21:26:38.2109310Z                 >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij')
2025-06-01T21:26:38.2109360Z                 >>> grid_x
2025-06-01T21:26:38.2109410Z                 tensor([[1, 1, 1],
2025-06-01T21:26:38.2109460Z                         [2, 2, 2],
2025-06-01T21:26:38.2109510Z                         [3, 3, 3]])
2025-06-01T21:26:38.2109560Z                 >>> grid_y
2025-06-01T21:26:38.2109610Z                 tensor([[4, 5, 6],
2025-06-01T21:26:38.2109650Z                         [4, 5, 6],
2025-06-01T21:26:38.2109700Z                         [4, 5, 6]])
2025-06-01T21:26:38.2109740Z     
2025-06-01T21:26:38.2109840Z                 This correspondence can be seen when these grids are
2025-06-01T21:26:38.2109900Z                 stacked properly.
2025-06-01T21:26:38.2110020Z                 >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))),
2025-06-01T21:26:38.2110100Z                 ...             torch.cartesian_prod(x, y))
2025-06-01T21:26:38.2110140Z                 True
2025-06-01T21:26:38.2110180Z     
2025-06-01T21:26:38.2110290Z                 `torch.meshgrid` is commonly used to produce a grid for
2025-06-01T21:26:38.2110340Z                 plotting.
2025-06-01T21:26:38.2110420Z                 >>> # xdoctest: +REQUIRES(module:matplotlib)
2025-06-01T21:26:38.2110520Z                 >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW)
2025-06-01T21:26:38.2110600Z                 >>> import matplotlib.pyplot as plt
2025-06-01T21:26:38.2110670Z                 >>> xs = torch.linspace(-5, 5, steps=100)
2025-06-01T21:26:38.2110750Z                 >>> ys = torch.linspace(-5, 5, steps=100)
2025-06-01T21:26:38.2110830Z                 >>> x, y = torch.meshgrid(xs, ys, indexing='xy')
2025-06-01T21:26:38.2110910Z                 >>> z = torch.sin(torch.sqrt(x * x + y * y))
2025-06-01T21:26:38.2110980Z                 >>> ax = plt.axes(projection='3d')
2025-06-01T21:26:38.2111090Z                 >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy())
2025-06-01T21:26:38.2111160Z                 >>> plt.show()
2025-06-01T21:26:38.2111200Z     
2025-06-01T21:26:38.2111270Z             .. image:: ../_static/img/meshgrid.png
2025-06-01T21:26:38.2111320Z                 :width: 512
2025-06-01T21:26:38.2111360Z     
2025-06-01T21:26:38.2111400Z             
2025-06-01T21:26:38.2111550Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2111590Z     
2025-06-01T21:26:38.2111640Z       warnings.warn(msg)
2025-06-01T21:26:38.2111670Z     
2025-06-01T21:26:38.2111770Z --- Parse Warning: 11 / 118 ---
2025-06-01T21:26:38.2112480Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_unique_impl in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/functional.py line=842.
2025-06-01T21:26:38.2112640Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2112860Z     unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor]
2025-06-01T21:26:38.2112900Z     
2025-06-01T21:26:38.2112990Z         Returns the unique elements of the input tensor.
2025-06-01T21:26:38.2113030Z     
2025-06-01T21:26:38.2113210Z         .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that
2025-06-01T21:26:38.2113330Z             this function also eliminates non-consecutive duplicate values.
2025-06-01T21:26:38.2113370Z     
2025-06-01T21:26:38.2113510Z         .. note:: Currently in the CUDA implementation and the CPU implementation,
2025-06-01T21:26:38.2113680Z             `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument.
2025-06-01T21:26:38.2113850Z             Sorting could be slow, so if your input tensor is already sorted, it is recommended to use
2025-06-01T21:26:38.2113960Z             :func:`torch.unique_consecutive` which avoids the sorting.
2025-06-01T21:26:38.2114000Z     
2025-06-01T21:26:38.2114040Z         Args:
2025-06-01T21:26:38.2114110Z             input (Tensor): the input tensor
2025-06-01T21:26:38.2114240Z             sorted (bool): Whether to sort the unique elements in ascending order
2025-06-01T21:26:38.2114300Z                 before returning as output.
2025-06-01T21:26:38.2114430Z             return_inverse (bool): Whether to also return the indices for where
2025-06-01T21:26:38.2114560Z                 elements in the original input ended up in the returned unique list.
2025-06-01T21:26:38.2114700Z             return_counts (bool): Whether to also return the counts for each unique
2025-06-01T21:26:38.2114740Z                 element.
2025-06-01T21:26:38.2114870Z             dim (int, optional): the dimension to operate upon. If ``None``, the
2025-06-01T21:26:38.2114990Z                 unique of the flattened input is returned. Otherwise, each of the
2025-06-01T21:26:38.2115120Z                 tensors indexed by the given dimension is treated as one of the
2025-06-01T21:26:38.2115240Z                 elements to apply the unique operation upon. See examples for more
2025-06-01T21:26:38.2115310Z                 details. Default: ``None``
2025-06-01T21:26:38.2115370Z     
2025-06-01T21:26:38.2115410Z         Returns:
2025-06-01T21:26:38.2115590Z             (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing
2025-06-01T21:26:38.2115620Z     
2025-06-01T21:26:38.2115740Z                 - **output** (*Tensor*): the output list of unique scalar elements.
2025-06-01T21:26:38.2115830Z                 - **inverse_indices** (*Tensor*): (optional) if
2025-06-01T21:26:38.2115940Z                   :attr:`return_inverse` is True, there will be an additional
2025-06-01T21:26:38.2116160Z                   returned tensor (same shape as input) representing the indices
2025-06-01T21:26:38.2116350Z                   for where elements in the original input map to in the output;
2025-06-01T21:26:38.2116460Z                   otherwise, this function will only return a single tensor.
2025-06-01T21:26:38.2116540Z                 - **counts** (*Tensor*): (optional) if
2025-06-01T21:26:38.2116640Z                   :attr:`return_counts` is True, there will be an additional
2025-06-01T21:26:38.2116750Z                   returned tensor (same shape as output or output.size(dim),
2025-06-01T21:26:38.2116860Z                   if dim was specified) representing the number of occurrences
2025-06-01T21:26:38.2116940Z                   for each unique value or tensor.
2025-06-01T21:26:38.2116980Z     
2025-06-01T21:26:38.2117020Z         Example::
2025-06-01T21:26:38.2117060Z     
2025-06-01T21:26:38.2117240Z             >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long))
2025-06-01T21:26:38.2117290Z             >>> output
2025-06-01T21:26:38.2117340Z             tensor([1, 2, 3])
2025-06-01T21:26:38.2117380Z     
2025-06-01T21:26:38.2117460Z             >>> output, inverse_indices = torch.unique(
2025-06-01T21:26:38.2117600Z             ...     torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True)
2025-06-01T21:26:38.2117650Z             >>> output
2025-06-01T21:26:38.2117700Z             tensor([1, 2, 3])
2025-06-01T21:26:38.2117750Z             >>> inverse_indices
2025-06-01T21:26:38.2117800Z             tensor([0, 2, 1, 2])
2025-06-01T21:26:38.2117840Z     
2025-06-01T21:26:38.2117920Z             >>> output, inverse_indices = torch.unique(
2025-06-01T21:26:38.2118060Z             ...     torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True)
2025-06-01T21:26:38.2118110Z             >>> output
2025-06-01T21:26:38.2118160Z             tensor([1, 2, 3])
2025-06-01T21:26:38.2118210Z             >>> inverse_indices
2025-06-01T21:26:38.2118260Z             tensor([[0, 2],
2025-06-01T21:26:38.2118310Z                     [1, 2]])
2025-06-01T21:26:38.2118350Z     
2025-06-01T21:26:38.2118400Z             >>> a = torch.tensor([
2025-06-01T21:26:38.2118440Z             ...     [
2025-06-01T21:26:38.2118490Z             ...         [1, 1, 0, 0],
2025-06-01T21:26:38.2118540Z             ...         [1, 1, 0, 0],
2025-06-01T21:26:38.2118590Z             ...         [0, 0, 1, 1],
2025-06-01T21:26:38.2118640Z             ...     ],
2025-06-01T21:26:38.2118680Z             ...     [
2025-06-01T21:26:38.2118730Z             ...         [0, 0, 1, 1],
2025-06-01T21:26:38.2118780Z             ...         [0, 0, 1, 1],
2025-06-01T21:26:38.2118820Z             ...         [1, 1, 1, 1],
2025-06-01T21:26:38.2118870Z             ...     ],
2025-06-01T21:26:38.2118910Z             ...     [
2025-06-01T21:26:38.2118950Z             ...         [1, 1, 0, 0],
2025-06-01T21:26:38.2119000Z             ...         [1, 1, 0, 0],
2025-06-01T21:26:38.2119050Z             ...         [0, 0, 1, 1],
2025-06-01T21:26:38.2119090Z             ...     ],
2025-06-01T21:26:38.2119140Z             ... ])
2025-06-01T21:26:38.2119170Z     
2025-06-01T21:26:38.2119300Z             >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]`
2025-06-01T21:26:38.2119430Z             >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match
2025-06-01T21:26:38.2119530Z             >>> # each other, so one of them will be removed.
2025-06-01T21:26:38.2119600Z             >>> (a[0, :, :] == a[2, :, :]).all()
2025-06-01T21:26:38.2119650Z             tensor(True)
2025-06-01T21:26:38.2119720Z             >>> a_unique_dim0 = torch.unique(a, dim=0)
2025-06-01T21:26:38.2119770Z             >>> a_unique_dim0
2025-06-01T21:26:38.2119820Z             tensor([[[0, 0, 1, 1],
2025-06-01T21:26:38.2119870Z                      [0, 0, 1, 1],
2025-06-01T21:26:38.2119920Z                      [1, 1, 1, 1]],
2025-06-01T21:26:38.2119970Z                     [[1, 1, 0, 0],
2025-06-01T21:26:38.2120010Z                      [1, 1, 0, 0],
2025-06-01T21:26:38.2120090Z                      [0, 0, 1, 1]]])
2025-06-01T21:26:38.2120150Z     
2025-06-01T21:26:38.2120290Z             >>> # Notice which sub-tensors from `a` match with the sub-tensors from
2025-06-01T21:26:38.2120340Z             >>> # `a_unique_dim0`:
2025-06-01T21:26:38.2120420Z             >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all()
2025-06-01T21:26:38.2120470Z             tensor(True)
2025-06-01T21:26:38.2120540Z             >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all()
2025-06-01T21:26:38.2120590Z             tensor(True)
2025-06-01T21:26:38.2120630Z     
2025-06-01T21:26:38.2120780Z             >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are
2025-06-01T21:26:38.2120900Z             >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of
2025-06-01T21:26:38.2121080Z             >>> # them will be removed.
2025-06-01T21:26:38.2121170Z             >>> (a[:, 0, :] == a[:, 1, :]).all()
2025-06-01T21:26:38.2130440Z             tensor(True)
2025-06-01T21:26:38.2130530Z             >>> torch.unique(a, dim=1)
2025-06-01T21:26:38.2130590Z             tensor([[[0, 0, 1, 1],
2025-06-01T21:26:38.2130640Z                      [1, 1, 0, 0]],
2025-06-01T21:26:38.2130690Z                     [[1, 1, 1, 1],
2025-06-01T21:26:38.2130730Z                      [0, 0, 1, 1]],
2025-06-01T21:26:38.2130780Z                     [[0, 0, 1, 1],
2025-06-01T21:26:38.2130830Z                      [1, 1, 0, 0]]])
2025-06-01T21:26:38.2130870Z     
2025-06-01T21:26:38.2131000Z             >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared.
2025-06-01T21:26:38.2131100Z             >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and
2025-06-01T21:26:38.2131200Z             >>> # `a[:, :, 3]` match each other as well. So in this case, two of the
2025-06-01T21:26:38.2131270Z             >>> # sub-tensors will be removed.
2025-06-01T21:26:38.2131330Z             >>> (a[:, :, 0] == a[:, :, 1]).all()
2025-06-01T21:26:38.2131380Z             tensor(True)
2025-06-01T21:26:38.2131440Z             >>> (a[:, :, 2] == a[:, :, 3]).all()
2025-06-01T21:26:38.2131480Z             tensor(True)
2025-06-01T21:26:38.2131550Z             >>> torch.unique(a, dim=2)
2025-06-01T21:26:38.2131600Z             tensor([[[0, 1],
2025-06-01T21:26:38.2131650Z                      [0, 1],
2025-06-01T21:26:38.2131710Z                      [1, 0]],
2025-06-01T21:26:38.2131760Z                     [[1, 0],
2025-06-01T21:26:38.2131800Z                      [1, 0],
2025-06-01T21:26:38.2131850Z                      [1, 1]],
2025-06-01T21:26:38.2131900Z                     [[0, 1],
2025-06-01T21:26:38.2131950Z                      [0, 1],
2025-06-01T21:26:38.2132000Z                      [1, 0]]])
2025-06-01T21:26:38.2132040Z         
2025-06-01T21:26:38.2132210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2132250Z     
2025-06-01T21:26:38.2132310Z       warnings.warn(msg)
2025-06-01T21:26:38.2132350Z     
2025-06-01T21:26:38.2132520Z --- Parse Warning: 12 / 118 ---
2025-06-01T21:26:38.2133210Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/serialization.py line=1285.
2025-06-01T21:26:38.2133490Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2133680Z     load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args)
2025-06-01T21:26:38.2133720Z     
2025-06-01T21:26:38.2133830Z         Loads an object saved with :func:`torch.save` from a file.
2025-06-01T21:26:38.2133870Z     
2025-06-01T21:26:38.2134010Z         :func:`torch.load` uses Python's unpickling facilities but treats storages,
2025-06-01T21:26:38.2134200Z         which underlie tensors, specially. They are first deserialized on the
2025-06-01T21:26:38.2134350Z         CPU and are then moved to the device they were saved from. If this fails
2025-06-01T21:26:38.2134490Z         (e.g. because the run time system doesn't have certain devices), an exception
2025-06-01T21:26:38.2134630Z         is raised. However, storages can be dynamically remapped to an alternative
2025-06-01T21:26:38.2134730Z         set of devices using the :attr:`map_location` argument.
2025-06-01T21:26:38.2134770Z     
2025-06-01T21:26:38.2134920Z         If :attr:`map_location` is a callable, it will be called once for each serialized
2025-06-01T21:26:38.2135050Z         storage with two arguments: storage and location. The storage argument
2025-06-01T21:26:38.2135180Z         will be the initial deserialization of the storage, residing on the CPU.
2025-06-01T21:26:38.2135330Z         Each serialized storage has a location tag associated with it which
2025-06-01T21:26:38.2135460Z         identifies the device it was saved from, and this tag is the second
2025-06-01T21:26:38.2135610Z         argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'``
2025-06-01T21:26:38.2135740Z         for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors.
2025-06-01T21:26:38.2135870Z         :attr:`map_location` should return either ``None`` or a storage. If
2025-06-01T21:26:38.2136020Z         :attr:`map_location` returns a storage, it will be used as the final deserialized
2025-06-01T21:26:38.2136160Z         object, already moved to the right device. Otherwise, :func:`torch.load` will
2025-06-01T21:26:38.2136310Z         fall back to the default behavior, as if :attr:`map_location` wasn't specified.
2025-06-01T21:26:38.2136350Z     
2025-06-01T21:26:38.2136480Z         If :attr:`map_location` is a :class:`torch.device` object or a string containing
2025-06-01T21:26:38.2136620Z         a device tag, it indicates the location where all tensors should be loaded.
2025-06-01T21:26:38.2136660Z     
2025-06-01T21:26:38.2136810Z         Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags
2025-06-01T21:26:38.2136940Z         appearing in the file (keys), to ones that specify where to put the
2025-06-01T21:26:38.2136990Z         storages (values).
2025-06-01T21:26:38.2137030Z     
2025-06-01T21:26:38.2137160Z         User extensions can register their own location tags and tagging and
2025-06-01T21:26:38.2137320Z         deserialization methods using :func:`torch.serialization.register_package`.
2025-06-01T21:26:38.2137360Z     
2025-06-01T21:26:38.2137510Z         See :ref:`layout-control` for more advanced tools to manipulate a checkpoint.
2025-06-01T21:26:38.2137540Z     
2025-06-01T21:26:38.2137580Z         Args:
2025-06-01T21:26:38.2137770Z             f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
2025-06-01T21:26:38.2137890Z                 or a string or os.PathLike object containing a file name
2025-06-01T21:26:38.2138090Z             map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage
2025-06-01T21:26:38.2138140Z                 locations
2025-06-01T21:26:38.2138270Z             pickle_module: module used for unpickling metadata and objects (has to
2025-06-01T21:26:38.2138380Z                 match the :attr:`pickle_module` used to serialize file)
2025-06-01T21:26:38.2138530Z             weights_only: Indicates whether unpickler should be restricted to
2025-06-01T21:26:38.2138890Z                 loading only tensors, primitive types, dictionaries
2025-06-01T21:26:38.2139030Z                 and any types added via :func:`torch.serialization.add_safe_globals`.
2025-06-01T21:26:38.2139110Z                 See :ref:`weights-only` for more details.
2025-06-01T21:26:38.2139310Z             mmap: Indicates whether the file should be mmaped rather than loading all the storages into memory.
2025-06-01T21:26:38.2139560Z                 Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they
2025-06-01T21:26:38.2139780Z                 are moved to the location that they were tagged with when saving, or specified by ``map_location``. This
2025-06-01T21:26:38.2139980Z                 second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the
2025-06-01T21:26:38.2140170Z                 tensor storages from disk to CPU memory in the first step, ``f`` is mmaped, which means tensor storages
2025-06-01T21:26:38.2140260Z                 will be lazily loaded when their data is accessed.
2025-06-01T21:26:38.2140410Z             pickle_load_args: (Python 3 only) optional keyword arguments passed over to
2025-06-01T21:26:38.2140540Z                 :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g.,
2025-06-01T21:26:38.2140600Z                 :attr:`errors=...`.
2025-06-01T21:26:38.2140690Z     
2025-06-01T21:26:38.2140740Z         .. warning::
2025-06-01T21:26:38.2140870Z             :func:`torch.load()` unless `weights_only` parameter is set to `True`,
2025-06-01T21:26:38.2141000Z             uses ``pickle`` module implicitly, which is known to be insecure.
2025-06-01T21:26:38.2141160Z             It is possible to construct malicious pickle data which will execute arbitrary code
2025-06-01T21:26:38.2141300Z             during unpickling. Never load data that could have come from an untrusted
2025-06-01T21:26:38.2141480Z             source in an unsafe mode, or that could have been tampered with. **Only load data you trust**.
2025-06-01T21:26:38.2141520Z     
2025-06-01T21:26:38.2141560Z         .. note::
2025-06-01T21:26:38.2141720Z             When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors
2025-06-01T21:26:38.2141880Z             will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')``
2025-06-01T21:26:38.2142040Z             and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint.
2025-06-01T21:26:38.2142080Z     
2025-06-01T21:26:38.2142120Z         .. note::
2025-06-01T21:26:38.2142270Z             By default, we decode byte strings as ``utf-8``.  This is to avoid a common error
2025-06-01T21:26:38.2142400Z             case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...``
2025-06-01T21:26:38.2142530Z             when loading files saved by Python 2 in Python 3.  If this default
2025-06-01T21:26:38.2142680Z             is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how
2025-06-01T21:26:38.2142820Z             these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them
2025-06-01T21:26:38.2142960Z             to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them
2025-06-01T21:26:38.2143100Z             as byte arrays which can be decoded later with ``byte_array.decode(...)``.
2025-06-01T21:26:38.2143140Z     
2025-06-01T21:26:38.2143180Z         Example:
2025-06-01T21:26:38.2143260Z             >>> # xdoctest: +SKIP("undefined filepaths")
2025-06-01T21:26:38.2143350Z             >>> torch.load("tensors.pt", weights_only=True)
2025-06-01T21:26:38.2143410Z             # Load all tensors onto the CPU
2025-06-01T21:26:38.2143460Z             >>> torch.load(
2025-06-01T21:26:38.2143510Z             ...     "tensors.pt",
2025-06-01T21:26:38.2143590Z             ...     map_location=torch.device("cpu"),
2025-06-01T21:26:38.2143670Z             ...     weights_only=True,
2025-06-01T21:26:38.2143710Z             ... )
2025-06-01T21:26:38.2143800Z             # Load all tensors onto the CPU, using a function
2025-06-01T21:26:38.2143840Z             >>> torch.load(
2025-06-01T21:26:38.2143900Z             ...     "tensors.pt",
2025-06-01T21:26:38.2143980Z             ...     map_location=lambda storage, loc: storage,
2025-06-01T21:26:38.2144030Z             ...     weights_only=True,
2025-06-01T21:26:38.2144070Z             ... )
2025-06-01T21:26:38.2144130Z             # Load all tensors onto GPU 1
2025-06-01T21:26:38.2144210Z             >>> torch.load(
2025-06-01T21:26:38.2144290Z             ...     "tensors.pt",
2025-06-01T21:26:38.2144390Z             ...     map_location=lambda storage, loc: storage.cuda(1),
2025-06-01T21:26:38.2144440Z             ...     weights_only=True,
2025-06-01T21:26:38.2144510Z             ... )  # type: ignore[attr-defined]
2025-06-01T21:26:38.2144570Z             # Map tensors from GPU 1 to GPU 0
2025-06-01T21:26:38.2144620Z             >>> torch.load(
2025-06-01T21:26:38.2144670Z             ...     "tensors.pt",
2025-06-01T21:26:38.2144740Z             ...     map_location={"cuda:1": "cuda:0"},
2025-06-01T21:26:38.2144790Z             ...     weights_only=True,
2025-06-01T21:26:38.2144830Z             ... )
2025-06-01T21:26:38.2144900Z             # Load tensor from io.BytesIO object
2025-06-01T21:26:38.2145070Z             # Loading from a buffer setting weights_only=False, warning this can be unsafe
2025-06-01T21:26:38.2145140Z             >>> with open("tensor.pt", "rb") as f:
2025-06-01T21:26:38.2145210Z             ...     buffer = io.BytesIO(f.read())
2025-06-01T21:26:38.2145290Z             >>> torch.load(buffer, weights_only=False)
2025-06-01T21:26:38.2145380Z             # Load a module with 'ascii' encoding for unpickling
2025-06-01T21:26:38.2145520Z             # Loading from a module setting weights_only=False, warning this can be unsafe
2025-06-01T21:26:38.2145640Z             >>> torch.load("module.pt", encoding="ascii", weights_only=False)
2025-06-01T21:26:38.2145680Z         
2025-06-01T21:26:38.2145830Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2145870Z     
2025-06-01T21:26:38.2145920Z       warnings.warn(msg)
2025-06-01T21:26:38.2145950Z     
2025-06-01T21:26:38.2146060Z --- Parse Warning: 13 / 118 ---
2025-06-01T21:26:38.2146750Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.then in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/futures/__init__.py line=105.
2025-06-01T21:26:38.2146910Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2146950Z     
2025-06-01T21:26:38.2147080Z     Append the given callback function to this ``Future``, which will be run
2025-06-01T21:26:38.2147200Z     when the ``Future`` is completed.  Multiple callbacks can be added to
2025-06-01T21:26:38.2147330Z     the same ``Future``, but the order in which they will be executed cannot
2025-06-01T21:26:38.2147440Z     be guaranteed (to enforce a certain order consider chaining:
2025-06-01T21:26:38.2147560Z     ``fut.then(cb1).then(cb2)``). The callback must take one argument, which
2025-06-01T21:26:38.2147680Z     is the reference to this ``Future``. The callback function can use the
2025-06-01T21:26:38.2147800Z     :meth:`value` method to get the value. Note that if this ``Future`` is
2025-06-01T21:26:38.2147930Z     already completed, the given callback will be run immediately inline.
2025-06-01T21:26:38.2147980Z     
2025-06-01T21:26:38.2148090Z     If the ``Future``'s value contains tensors that reside on GPUs, the
2025-06-01T21:26:38.2148220Z     callback might be invoked while the async kernels that are populating
2025-06-01T21:26:38.2148350Z     those tensors haven't yet finished executing on the device. However, the
2025-06-01T21:26:38.2148520Z     callback will be invoked with some dedicated streams set as current
2025-06-01T21:26:38.2148640Z     (fetched from a global pool) which will be synchronized with those
2025-06-01T21:26:38.2148780Z     kernels. Hence any operation performed by the callback on these tensors
2025-06-01T21:26:38.2148900Z     will be scheduled on the device after the kernels complete. In other
2025-06-01T21:26:38.2149020Z     words, as long as the callback doesn't switch streams, it can safely
2025-06-01T21:26:38.2149150Z     manipulate the result without any additional synchronization. This is
2025-06-01T21:26:38.2149290Z     similar to the non-blocking behavior of :meth:`wait`.
2025-06-01T21:26:38.2149350Z     
2025-06-01T21:26:38.2149480Z     Similarly, if the callback returns a value that contains tensors that
2025-06-01T21:26:38.2149590Z     reside on a GPU, it can do so even if the kernels that are producing
2025-06-01T21:26:38.2149720Z     these tensors are still running on the device, as long as the callback
2025-06-01T21:26:38.2149840Z     didn't change streams during its execution. If one wants to change
2025-06-01T21:26:38.2149960Z     streams, one must be careful to re-synchronize them with the original
2025-06-01T21:26:38.2150090Z     streams, that is, those that were current when the callback was invoked.
2025-06-01T21:26:38.2150130Z     
2025-06-01T21:26:38.2150170Z     Args:
2025-06-01T21:26:38.2150310Z         callback(``Callable``): a ``Callable`` that takes this ``Future`` as
2025-06-01T21:26:38.2150370Z                                 the only argument.
2025-06-01T21:26:38.2150420Z     
2025-06-01T21:26:38.2150460Z     Returns:
2025-06-01T21:26:38.2150560Z         A new ``Future`` object that holds the return value of the
2025-06-01T21:26:38.2150660Z         ``callback`` and will be marked as completed when the given
2025-06-01T21:26:38.2150720Z         ``callback`` finishes.
2025-06-01T21:26:38.2150760Z     
2025-06-01T21:26:38.2150860Z     .. note:: Note that if the callback function throws, either
2025-06-01T21:26:38.2150980Z         through the original future being completed with an exception and
2025-06-01T21:26:38.2151100Z         calling ``fut.wait()``, or through other code in the callback, the
2025-06-01T21:26:38.2151220Z         future returned by ``then`` will be marked appropriately with the
2025-06-01T21:26:38.2151340Z         encountered error. However, if this callback later completes
2025-06-01T21:26:38.2151460Z         additional futures, those futures are not marked as completed with
2025-06-01T21:26:38.2151590Z         an error and the user is responsible for handling completion/waiting
2025-06-01T21:26:38.2151650Z         on those futures independently.
2025-06-01T21:26:38.2151690Z     
2025-06-01T21:26:38.2151730Z     Example::
2025-06-01T21:26:38.2151800Z     
2025-06-01T21:26:38.2151890Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-06-01T21:26:38.2151940Z         >>> def callback(fut):
2025-06-01T21:26:38.2152020Z         ...     print(f"RPC return value is {fut.wait()}.")
2025-06-01T21:26:38.2152080Z         >>> fut = torch.futures.Future()
2025-06-01T21:26:38.2152190Z         >>> # The inserted callback will print the return value when
2025-06-01T21:26:38.2152260Z         >>> # receiving the response from "worker1"
2025-06-01T21:26:38.2152320Z         >>> cb_fut = fut.then(callback)
2025-06-01T21:26:38.2152370Z         >>> chain_cb_fut = cb_fut.then(
2025-06-01T21:26:38.2152460Z         ...     lambda x : print(f"Chained cb done. {x.wait()}")
2025-06-01T21:26:38.2152500Z         ... )
2025-06-01T21:26:38.2152550Z         >>> fut.set_result(5)
2025-06-01T21:26:38.2152610Z         RPC return value is 5.
2025-06-01T21:26:38.2152660Z         Chained cb done. None
2025-06-01T21:26:38.2152700Z     
2025-06-01T21:26:38.2152850Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2152880Z     
2025-06-01T21:26:38.2152940Z       warnings.warn(msg)
2025-06-01T21:26:38.2153010Z     
2025-06-01T21:26:38.2153130Z --- Parse Warning: 14 / 118 ---
2025-06-01T21:26:38.2153880Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.set_result in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/futures/__init__.py line=215.
2025-06-01T21:26:38.2154050Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2154090Z     
2025-06-01T21:26:38.2154250Z     Set the result for this ``Future``, which will mark this ``Future`` as
2025-06-01T21:26:38.2154410Z     completed and trigger all attached callbacks. Note that a ``Future``
2025-06-01T21:26:38.2154480Z     cannot be marked completed twice.
2025-06-01T21:26:38.2154530Z     
2025-06-01T21:26:38.2154670Z     If the result contains tensors that reside on GPUs, this method can be
2025-06-01T21:26:38.2154800Z     called even if the asynchronous kernels that are populating those
2025-06-01T21:26:38.2154940Z     tensors haven't yet completed running on the device, provided that the
2025-06-01T21:26:38.2155100Z     streams on which those kernels were enqueued are set as the current ones
2025-06-01T21:26:38.2155230Z     when this method is called. Put simply, it's safe to call this method
2025-06-01T21:26:38.2155370Z     immediately after launching those kernels, without any additional
2025-06-01T21:26:38.2155530Z     synchronization, as long as one doesn't change streams in between. This
2025-06-01T21:26:38.2155680Z     method will record events on all the relevant current streams and will
2025-06-01T21:26:38.2155800Z     use them to ensure proper scheduling for all the consumers of this
2025-06-01T21:26:38.2155850Z     ``Future``.
2025-06-01T21:26:38.2155900Z     
2025-06-01T21:26:38.2155940Z     Args:
2025-06-01T21:26:38.2156050Z         result (object): the result object of this ``Future``.
2025-06-01T21:26:38.2156100Z     
2025-06-01T21:26:38.2156140Z     Example::
2025-06-01T21:26:38.2156180Z     
2025-06-01T21:26:38.2156270Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-06-01T21:26:38.2156330Z         >>> import threading
2025-06-01T21:26:38.2156380Z         >>> import time
2025-06-01T21:26:38.2156440Z         >>> def slow_set_future(fut, value):
2025-06-01T21:26:38.2156500Z         ...     time.sleep(0.5)
2025-06-01T21:26:38.2156560Z         ...     fut.set_result(value)
2025-06-01T21:26:38.2156630Z         >>> fut = torch.futures.Future()
2025-06-01T21:26:38.2156680Z         >>> t = threading.Thread(
2025-06-01T21:26:38.2156740Z         ...     target=slow_set_future,
2025-06-01T21:26:38.2156810Z         ...     args=(fut, torch.ones(2) * 3)
2025-06-01T21:26:38.2156850Z         ... )
2025-06-01T21:26:38.2156900Z         >>> t.start()
2025-06-01T21:26:38.2156950Z         >>> print(fut.wait())
2025-06-01T21:26:38.2157000Z         tensor([3., 3.])
2025-06-01T21:26:38.2157040Z         >>> t.join()
2025-06-01T21:26:38.2157080Z     
2025-06-01T21:26:38.2157230Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2157270Z     
2025-06-01T21:26:38.2157320Z       warnings.warn(msg)
2025-06-01T21:26:38.2157360Z     
2025-06-01T21:26:38.2157450Z --- Parse Warning: 15 / 118 ---
2025-06-01T21:26:38.2158170Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compile_shader in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/mps/__init__.py line=144.
2025-06-01T21:26:38.2158340Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2158480Z     Compiles compute shader from source and allows one to invoke kernels
2025-06-01T21:26:38.2158570Z         defined there from the comfort of Python runtime
2025-06-01T21:26:38.2158620Z         Example::
2025-06-01T21:26:38.2158710Z     
2025-06-01T21:26:38.2158800Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS)
2025-06-01T21:26:38.2158880Z             >>> lib = torch.mps.compile_shader(
2025-06-01T21:26:38.2159110Z             ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }"
2025-06-01T21:26:38.2159160Z             ...  )
2025-06-01T21:26:38.2159230Z             >>> x = torch.zeros(16, device="mps")
2025-06-01T21:26:38.2159290Z             >>> lib.full(x, 3.14)
2025-06-01T21:26:38.2159330Z         
2025-06-01T21:26:38.2159500Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2159560Z     
2025-06-01T21:26:38.2159620Z       warnings.warn(msg)
2025-06-01T21:26:38.2159660Z     
2025-06-01T21:26:38.2159780Z --- Parse Warning: 16 / 118 ---
2025-06-01T21:26:38.2160490Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/cuda/__init__.py line=407.
2025-06-01T21:26:38.2160650Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-06-01T21:26:38.2160720Z     Retrieves the CUDA runtime API module.
2025-06-01T21:26:38.2160780Z     
2025-06-01T21:26:38.2160820Z     
2025-06-01T21:26:38.2161010Z         This function initializes the CUDA runtime environment if it is not already
2025-06-01T21:26:38.2161160Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-06-01T21:26:38.2161310Z         runtime API module provides access to various CUDA runtime functions.
2025-06-01T21:26:38.2161350Z     
2025-06-01T21:26:38.2161390Z         Args:
2025-06-01T21:26:38.2161430Z             ``None``
2025-06-01T21:26:38.2161470Z     
2025-06-01T21:26:38.2161510Z         Returns:
2025-06-01T21:26:38.2161600Z             module: The CUDA runtime API module (_cudart).
2025-06-01T21:26:38.2161640Z     
2025-06-01T21:26:38.2161680Z         Raises:
2025-06-01T21:26:38.2161820Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-06-01T21:26:38.2162040Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-06-01T21:26:38.2162080Z     
2025-06-01T21:26:38.2162150Z         Example of CUDA operations with profiling:
2025-06-01T21:26:38.2162210Z             >>> import torch
2025-06-01T21:26:38.2162290Z             >>> from torch.cuda import cudart, check_error
2025-06-01T21:26:38.2162340Z             >>> import os
2025-06-01T21:26:38.2162380Z             >>>
2025-06-01T21:26:38.2162450Z             >>> os.environ['CUDA_PROFILE'] = '1'
2025-06-01T21:26:38.2162490Z             >>>
2025-06-01T21:26:38.2162570Z             >>> def perform_cuda_operations_with_streams():
2025-06-01T21:26:38.2162640Z             >>>     stream = torch.cuda.Stream()
2025-06-01T21:26:38.2162710Z             >>>     with torch.cuda.stream(stream):
2025-06-01T21:26:38.2162800Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-06-01T21:26:38.2162870Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-06-01T21:26:38.2162930Z             >>>         z = torch.mul(x, y)
2025-06-01T21:26:38.2162980Z             >>>     return z
2025-06-01T21:26:38.2163020Z             >>>
2025-06-01T21:26:38.2163080Z             >>> torch.cuda.synchronize()
2025-06-01T21:26:38.2163160Z             >>> print("====== Start nsys profiling ======")
2025-06-01T21:26:38.2163240Z             >>> check_error(cudart().cudaProfilerStart())
2025-06-01T21:26:38.2163330Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-06-01T21:26:38.2163430Z             >>>     result = perform_cuda_operations_with_streams()
2025-06-01T21:26:38.2163500Z             >>>     print("CUDA operations completed.")
2025-06-01T21:26:38.2163600Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-06-01T21:26:38.2163700Z             >>> print("====== End nsys profiling ======")
2025-06-01T21:26:38.2163740Z     
2025-06-01T21:26:38.2163860Z         To run this example and save the profiling information, execute:
2025-06-01T21:26:38.2164080Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-06-01T21:26:38.2164120Z     
2025-06-01T21:26:38.2164260Z         This command profiles the CUDA operations in the provided script and saves
2025-06-01T21:26:38.2164380Z         the profiling information to a file named `trace_name.prof`.
2025-06-01T21:26:38.2164550Z         The `--profile-from-start off` option ensures that profiling starts only
2025-06-01T21:26:38.2164670Z         after the `cudaProfilerStart` call in the script.
2025-06-01T21:26:38.2164810Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-06-01T21:26:38.2164880Z         CSV file and print a summary, respectively.
2025-06-01T21:26:38.2165030Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-06-01T21:26:38.2165120Z         overwrite of the output file if it already exists.
2025-06-01T21:26:38.2165160Z         
2025-06-01T21:26:38.2165540Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-06-01T21:26:38.2165570Z     
2025-06-01T21:26:38.2165800Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-06-01T21:26:38.2165850Z     ^
2025-06-01T21:26:38.2165900Z       warnings.warn(msg)
2025-06-01T21:26:38.2165940Z     
2025-06-01T21:26:38.2166040Z --- Parse Warning: 17 / 118 ---
2025-06-01T21:26:38.2166740Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_available in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/accelerator/__init__.py line=48.
2025-06-01T21:26:38.2166890Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-06-01T21:26:38.2167040Z     Check if the current accelerator is available at runtime: it was build, all the
2025-06-01T21:26:38.2167160Z         required drivers are available and at least one device is visible.
2025-06-01T21:26:38.2167250Z         See :ref:`accelerator<accelerators>` for details.
2025-06-01T21:26:38.2167290Z     
2025-06-01T21:26:38.2167340Z         Returns:
2025-06-01T21:26:38.2167500Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-06-01T21:26:38.2167540Z     
2025-06-01T21:26:38.2167680Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-06-01T21:26:38.2167840Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-06-01T21:26:38.2167990Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-06-01T21:26:38.2168080Z             :ref:`multiprocessing-poison-fork-note`.
2025-06-01T21:26:38.2168120Z     
2025-06-01T21:26:38.2168160Z         Example::
2025-06-01T21:26:38.2168200Z     
2025-06-01T21:26:38.2168360Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-06-01T21:26:38.2168400Z         
2025-06-01T21:26:38.2168730Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-06-01T21:26:38.2168770Z     
2025-06-01T21:26:38.2168920Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-06-01T21:26:38.2168980Z                                             ^
2025-06-01T21:26:38.2169040Z       warnings.warn(msg)
2025-06-01T21:26:38.2169100Z     
2025-06-01T21:26:38.2169200Z --- Parse Warning: 18 / 118 ---
2025-06-01T21:26:38.2169900Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=synchronize in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/accelerator/__init__.py line=169.
2025-06-01T21:26:38.2170040Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-06-01T21:26:38.2170160Z     Wait for all kernels in all streams on the given device to complete.
2025-06-01T21:26:38.2170230Z     
2025-06-01T21:26:38.2170290Z         Args:
2025-06-01T21:26:38.2170500Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-06-01T21:26:38.2170640Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-06-01T21:26:38.2170760Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-06-01T21:26:38.2170800Z     
2025-06-01T21:26:38.2170990Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-06-01T21:26:38.2171030Z     
2025-06-01T21:26:38.2171070Z         Example::
2025-06-01T21:26:38.2171110Z     
2025-06-01T21:26:38.2171190Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-06-01T21:26:38.2171370Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-06-01T21:26:38.2171460Z             >>> start_event = torch.Event(enable_timing=True)
2025-06-01T21:26:38.2171550Z             >>> end_event = torch.Event(enable_timing=True)
2025-06-01T21:26:38.2171600Z             >>> start_event.record()
2025-06-01T21:26:38.2171750Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-06-01T21:26:38.2171810Z             >>> sum = torch.sum(tensor)
2025-06-01T21:26:38.2171860Z             >>> end_event.record()
2025-06-01T21:26:38.2171940Z             >>> torch.accelerator.synchronize()
2025-06-01T21:26:38.2172040Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-06-01T21:26:38.2172080Z         
2025-06-01T21:26:38.2172400Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-06-01T21:26:38.2172440Z     
2025-06-01T21:26:38.2172590Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-06-01T21:26:38.2172650Z                                             ^
2025-06-01T21:26:38.2172700Z       warnings.warn(msg)
2025-06-01T21:26:38.2172740Z     
2025-06-01T21:26:38.2172840Z --- Parse Warning: 19 / 118 ---
2025-06-01T21:26:38.2173510Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=sum in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/sparse/__init__.py line=202.
2025-06-01T21:26:38.2173670Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2173760Z     Return the sum of each row of the given sparse tensor.
2025-06-01T21:26:38.2173800Z     
2025-06-01T21:26:38.2173940Z         Returns the sum of each row of the sparse tensor :attr:`input` in the given
2025-06-01T21:26:38.2174060Z         dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions,
2025-06-01T21:26:38.2174190Z         reduce over all of them. When sum over all ``sparse_dim``, this method
2025-06-01T21:26:38.2174280Z         returns a dense tensor instead of a sparse tensor.
2025-06-01T21:26:38.2174320Z     
2025-06-01T21:26:38.2174470Z         All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output
2025-06-01T21:26:38.2174580Z         tensor having :attr:`dim` fewer dimensions than :attr:`input`.
2025-06-01T21:26:38.2174660Z     
2025-06-01T21:26:38.2174790Z         During backward, only gradients at ``nnz`` locations of :attr:`input`
2025-06-01T21:26:38.2174940Z         will propagate back. Note that the gradients of :attr:`input` is coalesced.
2025-06-01T21:26:38.2174970Z     
2025-06-01T21:26:38.2175010Z         Args:
2025-06-01T21:26:38.2175090Z             input (Tensor): the input sparse tensor
2025-06-01T21:26:38.2175250Z             dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce
2025-06-01T21:26:38.2175300Z                 over all dims.
2025-06-01T21:26:38.2175480Z             dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor.
2025-06-01T21:26:38.2175570Z                 Default: dtype of :attr:`input`.
2025-06-01T21:26:38.2175610Z     
2025-06-01T21:26:38.2175650Z         Example::
2025-06-01T21:26:38.2175690Z     
2025-06-01T21:26:38.2175740Z             >>> nnz = 3
2025-06-01T21:26:38.2175790Z             >>> dims = [5, 5, 2, 3]
2025-06-01T21:26:38.2175880Z             >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)),
2025-06-01T21:26:38.2176000Z                                torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz)
2025-06-01T21:26:38.2176070Z             >>> V = torch.randn(nnz, dims[2], dims[3])
2025-06-01T21:26:38.2176130Z             >>> size = torch.Size(dims)
2025-06-01T21:26:38.2176220Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-06-01T21:26:38.2176320Z             >>> S = torch.sparse_coo_tensor(I, V, size)
2025-06-01T21:26:38.2176370Z             >>> S
2025-06-01T21:26:38.2176440Z             tensor(indices=tensor([[2, 0, 3],
2025-06-01T21:26:38.2176500Z                                    [2, 4, 1]]),
2025-06-01T21:26:38.2176590Z                    values=tensor([[[-0.6438, -1.6467,  1.4004],
2025-06-01T21:26:38.2176660Z                                    [ 0.3411,  0.0918, -0.2312]],
2025-06-01T21:26:38.2176700Z     
2025-06-01T21:26:38.2176770Z                                   [[ 0.5348,  0.0634, -2.0494],
2025-06-01T21:26:38.2176840Z                                    [-0.7125, -1.0646,  2.1844]],
2025-06-01T21:26:38.2176880Z     
2025-06-01T21:26:38.2176950Z                                   [[ 0.1276,  0.1874, -0.6334],
2025-06-01T21:26:38.2177030Z                                    [-1.9682, -0.5340,  0.7483]]]),
2025-06-01T21:26:38.2177120Z                    size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo)
2025-06-01T21:26:38.2177160Z     
2025-06-01T21:26:38.2177290Z             # when sum over only part of sparse_dims, return a sparse tensor
2025-06-01T21:26:38.2177350Z             >>> torch.sparse.sum(S, [1, 3])
2025-06-01T21:26:38.2177430Z             tensor(indices=tensor([[0, 2, 3]]),
2025-06-01T21:26:38.2177500Z                    values=tensor([[-1.4512,  0.4073],
2025-06-01T21:26:38.2177560Z                                   [-0.8901,  0.2017],
2025-06-01T21:26:38.2177620Z                                   [-0.3183, -1.7539]]),
2025-06-01T21:26:38.2177710Z                    size=(5, 2), nnz=3, layout=torch.sparse_coo)
2025-06-01T21:26:38.2177750Z     
2025-06-01T21:26:38.2177840Z             # when sum over all sparse dim, return a dense tensor
2025-06-01T21:26:38.2177900Z             # with summed dims squeezed
2025-06-01T21:26:38.2177960Z             >>> torch.sparse.sum(S, [0, 1, 3])
2025-06-01T21:26:38.2178020Z             tensor([-2.6596, -1.1450])
2025-06-01T21:26:38.2178060Z         
2025-06-01T21:26:38.2178210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2178250Z     
2025-06-01T21:26:38.2178310Z       warnings.warn(msg)
2025-06-01T21:26:38.2178340Z     
2025-06-01T21:26:38.2178450Z --- Parse Warning: 20 / 118 ---
2025-06-01T21:26:38.2179160Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_functorch/apis.py line=39.
2025-06-01T21:26:38.2179360Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2179400Z     
2025-06-01T21:26:38.2179530Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-06-01T21:26:38.2179650Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-06-01T21:26:38.2179790Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-06-01T21:26:38.2179840Z     vectorizing those operations.
2025-06-01T21:26:38.2179890Z     
2025-06-01T21:26:38.2180030Z     vmap is useful for handling batch dimensions: one can write a function
2025-06-01T21:26:38.2180170Z     ``func`` that runs on examples and then lift it to a function that can
2025-06-01T21:26:38.2180290Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-06-01T21:26:38.2180390Z     compute batched gradients when composed with autograd.
2025-06-01T21:26:38.2180430Z     
2025-06-01T21:26:38.2180470Z     .. note::
2025-06-01T21:26:38.2180590Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-06-01T21:26:38.2180670Z         convenience. Use whichever one you'd like.
2025-06-01T21:26:38.2180710Z     
2025-06-01T21:26:38.2180750Z     Args:
2025-06-01T21:26:38.2180870Z         func (function): A Python function that takes one or more arguments.
2025-06-01T21:26:38.2180940Z             Must return one or more Tensors.
2025-06-01T21:26:38.2181100Z         in_dims (int or nested structure): Specifies which dimension of the
2025-06-01T21:26:38.2181200Z             inputs should be mapped over. ``in_dims`` should have a
2025-06-01T21:26:38.2181330Z             structure like the inputs. If the ``in_dim`` for a particular
2025-06-01T21:26:38.2181430Z             input is None, then that indicates there is no map dimension.
2025-06-01T21:26:38.2181480Z             Default: 0.
2025-06-01T21:26:38.2181600Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-06-01T21:26:38.2181710Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-06-01T21:26:38.2181810Z             it should have one element per output. Default: 0.
2025-06-01T21:26:38.2181920Z         randomness (str): Specifies whether the randomness in this
2025-06-01T21:26:38.2182060Z             vmap should be the same or different across batches. If 'different',
2025-06-01T21:26:38.2182180Z             the randomness for each batch will be different. If 'same', the
2025-06-01T21:26:38.2182310Z             randomness will be the same across batches. If 'error', any calls to
2025-06-01T21:26:38.2182450Z             random functions will error. Default: 'error'. WARNING: this flag
2025-06-01T21:26:38.2182570Z             only applies to random PyTorch operations and does not apply to
2025-06-01T21:26:38.2182660Z             Python's random module or numpy randomness.
2025-06-01T21:26:38.2182810Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-06-01T21:26:38.2182960Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-06-01T21:26:38.2183120Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-06-01T21:26:38.2183290Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-06-01T21:26:38.2183340Z     
2025-06-01T21:26:38.2183380Z     Returns:
2025-06-01T21:26:38.2183500Z         Returns a new "batched" function. It takes the same inputs as
2025-06-01T21:26:38.2183610Z         ``func``, except each input has an extra dimension at the index
2025-06-01T21:26:38.2183730Z         specified by ``in_dims``. It takes returns the same outputs as
2025-06-01T21:26:38.2183850Z         ``func``, except each output has an extra dimension at the index
2025-06-01T21:26:38.2183910Z         specified by ``out_dims``.
2025-06-01T21:26:38.2183950Z     
2025-06-01T21:26:38.2184040Z     .. warning:
2025-06-01T21:26:38.2184170Z         :func:`vmap` works best with functional-style code. Please do not
2025-06-01T21:26:38.2184280Z         perform any side-effects in ``func``, with the exception of
2025-06-01T21:26:38.2184430Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-06-01T21:26:38.2184570Z         Python data structures and assigning values to variables not captured
2025-06-01T21:26:38.2184620Z         in ``func``.
2025-06-01T21:26:38.2184660Z     
2025-06-01T21:26:38.2184810Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-06-01T21:26:38.2184980Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-06-01T21:26:38.2188830Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-06-01T21:26:38.2188880Z     
2025-06-01T21:26:38.2188970Z         >>> torch.dot                            # [D], [D] -> []
2025-06-01T21:26:38.2189100Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-06-01T21:26:38.2189180Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-06-01T21:26:38.2189230Z         >>> batched_dot(x, y)
2025-06-01T21:26:38.2189270Z     
2025-06-01T21:26:38.2189410Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-06-01T21:26:38.2189470Z     model authoring experience.
2025-06-01T21:26:38.2189510Z     
2025-06-01T21:26:38.2189580Z         >>> batch_size, feature_size = 3, 5
2025-06-01T21:26:38.2189710Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-06-01T21:26:38.2189750Z         >>>
2025-06-01T21:26:38.2189810Z         >>> def model(feature_vec):
2025-06-01T21:26:38.2189890Z         >>>     # Very simple linear model with activation
2025-06-01T21:26:38.2189970Z         >>>     return feature_vec.dot(weights).relu()
2025-06-01T21:26:38.2190010Z         >>>
2025-06-01T21:26:38.2190100Z         >>> examples = torch.randn(batch_size, feature_size)
2025-06-01T21:26:38.2190180Z         >>> result = torch.vmap(model)(examples)
2025-06-01T21:26:38.2190220Z     
2025-06-01T21:26:38.2190370Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-06-01T21:26:38.2190510Z     or impossible to batch. One example is higher-order gradient computation.
2025-06-01T21:26:38.2190650Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-06-01T21:26:38.2190790Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-06-01T21:26:38.2190950Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-06-01T21:26:38.2191090Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-06-01T21:26:38.2191150Z     call to ``autograd.grad``.
2025-06-01T21:26:38.2191190Z     
2025-06-01T21:26:38.2191240Z         >>> # Setup
2025-06-01T21:26:38.2191280Z         >>> N = 5
2025-06-01T21:26:38.2191340Z         >>> f = lambda x: x ** 2
2025-06-01T21:26:38.2191410Z         >>> x = torch.randn(N, requires_grad=True)
2025-06-01T21:26:38.2191460Z         >>> y = f(x)
2025-06-01T21:26:38.2191510Z         >>> I_N = torch.eye(N)
2025-06-01T21:26:38.2191550Z         >>>
2025-06-01T21:26:38.2191610Z         >>> # Sequential approach
2025-06-01T21:26:38.2191740Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-06-01T21:26:38.2191810Z         >>>                  for v in I_N.unbind()]
2025-06-01T21:26:38.2191880Z         >>> jacobian = torch.stack(jacobian_rows)
2025-06-01T21:26:38.2191930Z         >>>
2025-06-01T21:26:38.2191990Z         >>> # vectorized gradient computation
2025-06-01T21:26:38.2192050Z         >>> def get_vjp(v):
2025-06-01T21:26:38.2192120Z         >>>     return torch.autograd.grad(y, x, v)
2025-06-01T21:26:38.2192190Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-06-01T21:26:38.2192230Z     
2025-06-01T21:26:38.2192400Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-06-01T21:26:38.2192460Z     
2025-06-01T21:26:38.2192550Z         >>> torch.dot                            # [D], [D] -> []
2025-06-01T21:26:38.2192720Z         >>> batched_dot = torch.vmap(torch.vmap(torch.dot))  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-06-01T21:26:38.2192810Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-06-01T21:26:38.2192890Z         >>> batched_dot(x, y) # tensor of size [2, 3]
2025-06-01T21:26:38.2192930Z     
2025-06-01T21:26:38.2193070Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-06-01T21:26:38.2193170Z     the dimension that each inputs are batched along as
2025-06-01T21:26:38.2193220Z     
2025-06-01T21:26:38.2193330Z         >>> torch.dot                            # [N], [N] -> []
2025-06-01T21:26:38.2193460Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-06-01T21:26:38.2193540Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-06-01T21:26:38.2193690Z         >>> batched_dot(x, y)   # output is [5] instead of [2] if batched along the 0th dimension
2025-06-01T21:26:38.2193720Z     
2025-06-01T21:26:38.2193880Z     If there are multiple inputs each of which is batched along different dimensions,
2025-06-01T21:26:38.2194000Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-06-01T21:26:38.2194040Z     
2025-06-01T21:26:38.2194130Z         >>> torch.dot                            # [D], [D] -> []
2025-06-01T21:26:38.2194290Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-06-01T21:26:38.2194360Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-06-01T21:26:38.2194510Z         >>> batched_dot(x, y) # second arg doesn't have a batch dim because in_dim[1] was None
2025-06-01T21:26:38.2194550Z     
2025-06-01T21:26:38.2194690Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-06-01T21:26:38.2194750Z     matching the shape of the input:
2025-06-01T21:26:38.2194790Z     
2025-06-01T21:26:38.2194870Z         >>> f = lambda dict: torch.dot(dict['x'], dict['y'])
2025-06-01T21:26:38.2194950Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-06-01T21:26:38.2195000Z         >>> input = {'x': x, 'y': y}
2025-06-01T21:26:38.2195110Z         >>> batched_dot = torch.vmap(f, in_dims=({'x': 0, 'y': None},))
2025-06-01T21:26:38.2195160Z         >>> batched_dot(input)
2025-06-01T21:26:38.2195200Z     
2025-06-01T21:26:38.2195360Z     By default, the output is batched along the first dimension. However, it can be batched
2025-06-01T21:26:38.2195430Z     along any dimension by using ``out_dims``
2025-06-01T21:26:38.2195470Z     
2025-06-01T21:26:38.2195530Z         >>> f = lambda x: x ** 2
2025-06-01T21:26:38.2195580Z         >>> x = torch.randn(2, 5)
2025-06-01T21:26:38.2195650Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-06-01T21:26:38.2195710Z         >>> batched_pow(x) # [5, 2]
2025-06-01T21:26:38.2195740Z     
2025-06-01T21:26:38.2195920Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-06-01T21:26:38.2195960Z     accept kwargs
2025-06-01T21:26:38.2196000Z     
2025-06-01T21:26:38.2196060Z         >>> x = torch.randn([2, 5])
2025-06-01T21:26:38.2196110Z         >>> def fn(x, scale=4.):
2025-06-01T21:26:38.2196160Z         >>>   return x * scale
2025-06-01T21:26:38.2196200Z         >>>
2025-06-01T21:26:38.2196260Z         >>> batched_pow = torch.vmap(fn)
2025-06-01T21:26:38.2196340Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-06-01T21:26:38.2196480Z         >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5]
2025-06-01T21:26:38.2196520Z     
2025-06-01T21:26:38.2196570Z     .. note::
2025-06-01T21:26:38.2196700Z         vmap does not provide general autobatching or handle variable-length
2025-06-01T21:26:38.2196760Z         sequences out of the box.
2025-06-01T21:26:38.2196800Z     
2025-06-01T21:26:38.2196950Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2197010Z     
2025-06-01T21:26:38.2197070Z       warnings.warn(msg)
2025-06-01T21:26:38.2197110Z     
2025-06-01T21:26:38.2197280Z --- Parse Warning: 21 / 118 ---
2025-06-01T21:26:38.2198010Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=326.
2025-06-01T21:26:38.2198200Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2198270Z     
2025-06-01T21:26:38.2198390Z     Raises an AssertionError if two items are not equal up to desired
2025-06-01T21:26:38.2198440Z     precision.
2025-06-01T21:26:38.2198470Z     
2025-06-01T21:26:38.2198580Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-06-01T21:26:38.2198690Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-06-01T21:26:38.2198810Z               instead of this function for more consistent floating point
2025-06-01T21:26:38.2198850Z               comparisons.
2025-06-01T21:26:38.2198890Z     
2025-06-01T21:26:38.2199020Z     The test verifies that the elements of `actual` and `desired` satisfy.
2025-06-01T21:26:38.2199060Z     
2025-06-01T21:26:38.2199150Z         ``abs(desired-actual) < float64(1.5 * 10**(-decimal))``
2025-06-01T21:26:38.2199210Z     
2025-06-01T21:26:38.2199350Z     That is a looser test than originally documented, but agrees with what the
2025-06-01T21:26:38.2199500Z     actual implementation in `assert_array_almost_equal` did up to rounding
2025-06-01T21:26:38.2199640Z     vagaries. An exception is raised at conflicting values. For ndarrays this
2025-06-01T21:26:38.2199700Z     delegates to assert_array_almost_equal
2025-06-01T21:26:38.2199750Z     
2025-06-01T21:26:38.2199790Z     Parameters
2025-06-01T21:26:38.2199830Z     ----------
2025-06-01T21:26:38.2199880Z     actual : array_like
2025-06-01T21:26:38.2199930Z         The object to check.
2025-06-01T21:26:38.2199980Z     desired : array_like
2025-06-01T21:26:38.2200030Z         The expected object.
2025-06-01T21:26:38.2200090Z     decimal : int, optional
2025-06-01T21:26:38.2200150Z         Desired precision, default is 7.
2025-06-01T21:26:38.2200200Z     err_msg : str, optional
2025-06-01T21:26:38.2200290Z         The error message to be printed in case of failure.
2025-06-01T21:26:38.2200340Z     verbose : bool, optional
2025-06-01T21:26:38.2200470Z         If True, the conflicting values are appended to the error message.
2025-06-01T21:26:38.2200510Z     
2025-06-01T21:26:38.2200550Z     Raises
2025-06-01T21:26:38.2200590Z     ------
2025-06-01T21:26:38.2200640Z     AssertionError
2025-06-01T21:26:38.2200760Z       If actual and desired are not equal up to specified precision.
2025-06-01T21:26:38.2200790Z     
2025-06-01T21:26:38.2200830Z     See Also
2025-06-01T21:26:38.2200880Z     --------
2025-06-01T21:26:38.2201020Z     assert_allclose: Compare two array_like objects for equality with desired
2025-06-01T21:26:38.2201090Z                      relative and/or absolute precision.
2025-06-01T21:26:38.2201210Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-06-01T21:26:38.2201250Z     
2025-06-01T21:26:38.2201290Z     Examples
2025-06-01T21:26:38.2201340Z     --------
2025-06-01T21:26:38.2201430Z     >>> from torch._numpy.testing import assert_almost_equal
2025-06-01T21:26:38.2201510Z     >>> assert_almost_equal(2.3333333333333, 2.33333334)
2025-06-01T21:26:38.2201610Z     >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
2025-06-01T21:26:38.2201680Z     Traceback (most recent call last):
2025-06-01T21:26:38.2201720Z         ...
2025-06-01T21:26:38.2201770Z     AssertionError:
2025-06-01T21:26:38.2201830Z     Arrays are not almost equal to 10 decimals
2025-06-01T21:26:38.2201880Z      ACTUAL: 2.3333333333333
2025-06-01T21:26:38.2201950Z      DESIRED: 2.33333334
2025-06-01T21:26:38.2201990Z     
2025-06-01T21:26:38.2202080Z     >>> assert_almost_equal(np.array([1.0,2.3333333333333]),
2025-06-01T21:26:38.2202160Z     ...                     np.array([1.0,2.33333334]), decimal=9)
2025-06-01T21:26:38.2202230Z     Traceback (most recent call last):
2025-06-01T21:26:38.2202270Z         ...
2025-06-01T21:26:38.2202310Z     AssertionError:
2025-06-01T21:26:38.2202380Z     Arrays are not almost equal to 9 decimals
2025-06-01T21:26:38.2202420Z     <BLANKLINE>
2025-06-01T21:26:38.2202480Z     Mismatched elements: 1 / 2 (50%)
2025-06-01T21:26:38.2202570Z     Max absolute difference: 6.666699636781459e-09
2025-06-01T21:26:38.2202660Z     Max relative difference: 2.8571569790287484e-09
2025-06-01T21:26:38.2202740Z      x: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-06-01T21:26:38.2202820Z      y: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-06-01T21:26:38.2202860Z     
2025-06-01T21:26:38.2202900Z     
2025-06-01T21:26:38.2203050Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2203090Z     
2025-06-01T21:26:38.2203140Z       warnings.warn(msg)
2025-06-01T21:26:38.2203180Z     
2025-06-01T21:26:38.2203270Z --- Parse Warning: 22 / 118 ---
2025-06-01T21:26:38.2204030Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_approx_equal in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=451.
2025-06-01T21:26:38.2204180Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2204230Z     
2025-06-01T21:26:38.2204350Z     Raises an AssertionError if two items are not equal up to significant
2025-06-01T21:26:38.2204390Z     digits.
2025-06-01T21:26:38.2204430Z     
2025-06-01T21:26:38.2204540Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-06-01T21:26:38.2204650Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-06-01T21:26:38.2204760Z               instead of this function for more consistent floating point
2025-06-01T21:26:38.2204810Z               comparisons.
2025-06-01T21:26:38.2204850Z     
2025-06-01T21:26:38.2204950Z     Given two numbers, check that they are approximately equal.
2025-06-01T21:26:38.2205080Z     Approximately equal is defined as the number of significant digits
2025-06-01T21:26:38.2205120Z     that agree.
2025-06-01T21:26:38.2205160Z     
2025-06-01T21:26:38.2205200Z     Parameters
2025-06-01T21:26:38.2205240Z     ----------
2025-06-01T21:26:38.2205290Z     actual : scalar
2025-06-01T21:26:38.2205340Z         The object to check.
2025-06-01T21:26:38.2205390Z     desired : scalar
2025-06-01T21:26:38.2205430Z         The expected object.
2025-06-01T21:26:38.2205490Z     significant : int, optional
2025-06-01T21:26:38.2205550Z         Desired precision, default is 7.
2025-06-01T21:26:38.2205600Z     err_msg : str, optional
2025-06-01T21:26:38.2205690Z         The error message to be printed in case of failure.
2025-06-01T21:26:38.2205740Z     verbose : bool, optional
2025-06-01T21:26:38.2205860Z         If True, the conflicting values are appended to the error message.
2025-06-01T21:26:38.2205900Z     
2025-06-01T21:26:38.2205940Z     Raises
2025-06-01T21:26:38.2205990Z     ------
2025-06-01T21:26:38.2206030Z     AssertionError
2025-06-01T21:26:38.2206150Z       If actual and desired are not equal up to specified precision.
2025-06-01T21:26:38.2206190Z     
2025-06-01T21:26:38.2206230Z     See Also
2025-06-01T21:26:38.2206270Z     --------
2025-06-01T21:26:38.2206410Z     assert_allclose: Compare two array_like objects for equality with desired
2025-06-01T21:26:38.2206490Z                      relative and/or absolute precision.
2025-06-01T21:26:38.2206610Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-06-01T21:26:38.2206680Z     
2025-06-01T21:26:38.2206720Z     Examples
2025-06-01T21:26:38.2206760Z     --------
2025-06-01T21:26:38.2206920Z     >>> np.testing.assert_approx_equal(0.12345677777777e-20, 0.1234567e-20)  # doctest: +SKIP
2025-06-01T21:26:38.2207070Z     >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345671e-20,  # doctest: +SKIP
2025-06-01T21:26:38.2207140Z     ...                                significant=8)
2025-06-01T21:26:38.2207290Z     >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345672e-20,  # doctest: +SKIP
2025-06-01T21:26:38.2207360Z     ...                                significant=8)
2025-06-01T21:26:38.2207560Z     Traceback (most recent call last):
2025-06-01T21:26:38.2207670Z         ...
2025-06-01T21:26:38.2207720Z     AssertionError:
2025-06-01T21:26:38.2207800Z     Items are not equal to 8 significant digits:
2025-06-01T21:26:38.2207850Z      ACTUAL: 1.234567e-21
2025-06-01T21:26:38.2207900Z      DESIRED: 1.2345672e-21
2025-06-01T21:26:38.2207940Z     
2025-06-01T21:26:38.2208030Z     the evaluated condition that raises the exception is
2025-06-01T21:26:38.2208070Z     
2025-06-01T21:26:38.2208170Z     >>> abs(0.12345670e-20/1e-21 - 0.12345672e-20/1e-21) >= 10**-(8-1)
2025-06-01T21:26:38.2208210Z     True
2025-06-01T21:26:38.2208250Z     
2025-06-01T21:26:38.2208290Z     
2025-06-01T21:26:38.2208440Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2208480Z     
2025-06-01T21:26:38.2208530Z       warnings.warn(msg)
2025-06-01T21:26:38.2208600Z     
2025-06-01T21:26:38.2208700Z --- Parse Warning: 23 / 118 ---
2025-06-01T21:26:38.2209410Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_equal in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=730.
2025-06-01T21:26:38.2209570Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2209610Z     
2025-06-01T21:26:38.2209740Z     Raises an AssertionError if two array_like objects are not equal.
2025-06-01T21:26:38.2209770Z     
2025-06-01T21:26:38.2209900Z     Given two array_like objects, check that the shape is equal and all
2025-06-01T21:26:38.2210030Z     elements of these objects are equal (but see the Notes for the special
2025-06-01T21:26:38.2210140Z     handling of a scalar). An exception is raised at shape mismatch or
2025-06-01T21:26:38.2210270Z     conflicting values. In contrast to the standard usage in numpy, NaNs
2025-06-01T21:26:38.2210400Z     are compared like numbers, no assertion is raised if both objects have
2025-06-01T21:26:38.2210460Z     NaNs in the same positions.
2025-06-01T21:26:38.2210500Z     
2025-06-01T21:26:38.2210630Z     The usual caution for verifying equality with floating point numbers is
2025-06-01T21:26:38.2210670Z     advised.
2025-06-01T21:26:38.2210710Z     
2025-06-01T21:26:38.2210750Z     Parameters
2025-06-01T21:26:38.2210790Z     ----------
2025-06-01T21:26:38.2210840Z     x : array_like
2025-06-01T21:26:38.2210890Z         The actual object to check.
2025-06-01T21:26:38.2210940Z     y : array_like
2025-06-01T21:26:38.2210990Z         The desired, expected object.
2025-06-01T21:26:38.2211050Z     err_msg : str, optional
2025-06-01T21:26:38.2211140Z         The error message to be printed in case of failure.
2025-06-01T21:26:38.2211190Z     verbose : bool, optional
2025-06-01T21:26:38.2211310Z         If True, the conflicting values are appended to the error message.
2025-06-01T21:26:38.2211360Z     strict : bool, optional
2025-06-01T21:26:38.2211480Z         If True, raise an AssertionError when either the shape or the data
2025-06-01T21:26:38.2211590Z         type of the array_like objects does not match. The special
2025-06-01T21:26:38.2211710Z         handling for scalars mentioned in the Notes section is disabled.
2025-06-01T21:26:38.2211750Z     
2025-06-01T21:26:38.2211810Z     Raises
2025-06-01T21:26:38.2211850Z     ------
2025-06-01T21:26:38.2211900Z     AssertionError
2025-06-01T21:26:38.2211980Z         If actual and desired objects are not equal.
2025-06-01T21:26:38.2212020Z     
2025-06-01T21:26:38.2212060Z     See Also
2025-06-01T21:26:38.2212090Z     --------
2025-06-01T21:26:38.2212240Z     assert_allclose: Compare two array_like objects for equality with desired
2025-06-01T21:26:38.2212310Z                      relative and/or absolute precision.
2025-06-01T21:26:38.2212430Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-06-01T21:26:38.2212470Z     
2025-06-01T21:26:38.2212520Z     Notes
2025-06-01T21:26:38.2212580Z     -----
2025-06-01T21:26:38.2212710Z     When one of `x` and `y` is a scalar and the other is array_like, the
2025-06-01T21:26:38.2212840Z     function checks that each element of the array_like object is equal to
2025-06-01T21:26:38.2212970Z     the scalar. This behaviour can be disabled with the `strict` parameter.
2025-06-01T21:26:38.2213010Z     
2025-06-01T21:26:38.2213050Z     Examples
2025-06-01T21:26:38.2213090Z     --------
2025-06-01T21:26:38.2213170Z     The first assert does not raise an exception:
2025-06-01T21:26:38.2213200Z     
2025-06-01T21:26:38.2213290Z     >>> np.testing.assert_array_equal([1.0,2.33333,np.nan],
2025-06-01T21:26:38.2213370Z     ...                               [np.exp(0),2.33333, np.nan])
2025-06-01T21:26:38.2213410Z     
2025-06-01T21:26:38.2213570Z     Use `assert_allclose` or one of the nulp (number of floating point values)
2025-06-01T21:26:38.2213630Z     functions for these cases instead:
2025-06-01T21:26:38.2213670Z     
2025-06-01T21:26:38.2213750Z     >>> np.testing.assert_allclose([1.0,np.pi,np.nan],
2025-06-01T21:26:38.2213840Z     ...                            [1, np.sqrt(np.pi)**2, np.nan],
2025-06-01T21:26:38.2213900Z     ...                            rtol=1e-10, atol=0)
2025-06-01T21:26:38.2213940Z     
2025-06-01T21:26:38.2214060Z     As mentioned in the Notes section, `assert_array_equal` has special
2025-06-01T21:26:38.2214200Z     handling for scalars. Here the test checks that each value in `x` is 3:
2025-06-01T21:26:38.2214240Z     
2025-06-01T21:26:38.2214300Z     >>> x = np.full((2, 5), fill_value=3)
2025-06-01T21:26:38.2214360Z     >>> np.testing.assert_array_equal(x, 3)
2025-06-01T21:26:38.2214400Z     
2025-06-01T21:26:38.2214530Z     Use `strict` to raise an AssertionError when comparing a scalar with an
2025-06-01T21:26:38.2214560Z     array:
2025-06-01T21:26:38.2214600Z     
2025-06-01T21:26:38.2214690Z     >>> np.testing.assert_array_equal(x, 3, strict=True)
2025-06-01T21:26:38.2214750Z     Traceback (most recent call last):
2025-06-01T21:26:38.2214790Z         ...
2025-06-01T21:26:38.2214840Z     AssertionError:
2025-06-01T21:26:38.2214890Z     Arrays are not equal
2025-06-01T21:26:38.2214930Z     <BLANKLINE>
2025-06-01T21:26:38.2214980Z     (shapes (2, 5), () mismatch)
2025-06-01T21:26:38.2215040Z      x: torch.ndarray([[3, 3, 3, 3, 3],
2025-06-01T21:26:38.2215080Z             [3, 3, 3, 3, 3]])
2025-06-01T21:26:38.2215130Z      y: torch.ndarray(3)
2025-06-01T21:26:38.2215170Z     
2025-06-01T21:26:38.2215300Z     The `strict` parameter also ensures that the array data types match:
2025-06-01T21:26:38.2215340Z     
2025-06-01T21:26:38.2215390Z     >>> x = np.array([2, 2, 2])
2025-06-01T21:26:38.2215470Z     >>> y = np.array([2., 2., 2.], dtype=np.float32)
2025-06-01T21:26:38.2215550Z     >>> np.testing.assert_array_equal(x, y, strict=True)
2025-06-01T21:26:38.2215610Z     Traceback (most recent call last):
2025-06-01T21:26:38.2215650Z         ...
2025-06-01T21:26:38.2215690Z     AssertionError:
2025-06-01T21:26:38.2215740Z     Arrays are not equal
2025-06-01T21:26:38.2215790Z     <BLANKLINE>
2025-06-01T21:26:38.2215870Z     (dtypes dtype("int64"), dtype("float32") mismatch)
2025-06-01T21:26:38.2215920Z      x: torch.ndarray([2, 2, 2])
2025-06-01T21:26:38.2215980Z      y: torch.ndarray([2., 2., 2.])
2025-06-01T21:26:38.2216020Z     
2025-06-01T21:26:38.2216170Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2216240Z     
2025-06-01T21:26:38.2216290Z       warnings.warn(msg)
2025-06-01T21:26:38.2216320Z     
2025-06-01T21:26:38.2216420Z --- Parse Warning: 24 / 118 ---
2025-06-01T21:26:38.2217150Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=836.
2025-06-01T21:26:38.2217350Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2217400Z     
2025-06-01T21:26:38.2217530Z     Raises an AssertionError if two objects are not equal up to desired
2025-06-01T21:26:38.2217570Z     precision.
2025-06-01T21:26:38.2217610Z     
2025-06-01T21:26:38.2217710Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-06-01T21:26:38.2217820Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-06-01T21:26:38.2217940Z               instead of this function for more consistent floating point
2025-06-01T21:26:38.2217980Z               comparisons.
2025-06-01T21:26:38.2218020Z     
2025-06-01T21:26:38.2218160Z     The test verifies identical shapes and that the elements of ``actual`` and
2025-06-01T21:26:38.2218210Z     ``desired`` satisfy.
2025-06-01T21:26:38.2218250Z     
2025-06-01T21:26:38.2218340Z         ``abs(desired-actual) < 1.5 * 10**(-decimal)``
2025-06-01T21:26:38.2218380Z     
2025-06-01T21:26:38.2218520Z     That is a looser test than originally documented, but agrees with what the
2025-06-01T21:26:38.2218660Z     actual implementation did up to rounding vagaries. An exception is raised
2025-06-01T21:26:38.2218800Z     at shape mismatch or conflicting values. In contrast to the standard usage
2025-06-01T21:26:38.2218930Z     in numpy, NaNs are compared like numbers, no assertion is raised if both
2025-06-01T21:26:38.2219000Z     objects have NaNs in the same positions.
2025-06-01T21:26:38.2219030Z     
2025-06-01T21:26:38.2219080Z     Parameters
2025-06-01T21:26:38.2219120Z     ----------
2025-06-01T21:26:38.2219160Z     x : array_like
2025-06-01T21:26:38.2219210Z         The actual object to check.
2025-06-01T21:26:38.2219260Z     y : array_like
2025-06-01T21:26:38.2219320Z         The desired, expected object.
2025-06-01T21:26:38.2219370Z     decimal : int, optional
2025-06-01T21:26:38.2219430Z         Desired precision, default is 6.
2025-06-01T21:26:38.2219480Z     err_msg : str, optional
2025-06-01T21:26:38.2219570Z       The error message to be printed in case of failure.
2025-06-01T21:26:38.2219620Z     verbose : bool, optional
2025-06-01T21:26:38.2219740Z         If True, the conflicting values are appended to the error message.
2025-06-01T21:26:38.2219780Z     
2025-06-01T21:26:38.2219820Z     Raises
2025-06-01T21:26:38.2219860Z     ------
2025-06-01T21:26:38.2219900Z     AssertionError
2025-06-01T21:26:38.2220020Z         If actual and desired are not equal up to specified precision.
2025-06-01T21:26:38.2220060Z     
2025-06-01T21:26:38.2220100Z     See Also
2025-06-01T21:26:38.2220140Z     --------
2025-06-01T21:26:38.2220280Z     assert_allclose: Compare two array_like objects for equality with desired
2025-06-01T21:26:38.2220350Z                      relative and/or absolute precision.
2025-06-01T21:26:38.2220480Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-06-01T21:26:38.2220520Z     
2025-06-01T21:26:38.2220550Z     Examples
2025-06-01T21:26:38.2220590Z     --------
2025-06-01T21:26:38.2220670Z     the first assert does not raise an exception
2025-06-01T21:26:38.2220710Z     
2025-06-01T21:26:38.2220810Z     >>> np.testing.assert_array_almost_equal([1.0,2.333,np.nan],
2025-06-01T21:26:38.2220880Z     ...                                      [1.0,2.333,np.nan])
2025-06-01T21:26:38.2220920Z     
2025-06-01T21:26:38.2221050Z     >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan],
2025-06-01T21:26:38.2221130Z     ...                                      [1.0,2.33339,np.nan], decimal=5)
2025-06-01T21:26:38.2221180Z     Traceback (most recent call last):
2025-06-01T21:26:38.2221220Z         ...
2025-06-01T21:26:38.2221270Z     AssertionError:
2025-06-01T21:26:38.2221340Z     Arrays are not almost equal to 5 decimals
2025-06-01T21:26:38.2221380Z     <BLANKLINE>
2025-06-01T21:26:38.2221440Z     Mismatched elements: 1 / 3 (33.3%)
2025-06-01T21:26:38.2221510Z     Max absolute difference: 5.999999999994898e-05
2025-06-01T21:26:38.2221610Z     Max relative difference: 2.5713661239633743e-05
2025-06-01T21:26:38.2221720Z      x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-06-01T21:26:38.2221810Z      y: torch.ndarray([1.0000, 2.3334,    nan], dtype=float64)
2025-06-01T21:26:38.2221850Z     
2025-06-01T21:26:38.2221950Z     >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan],
2025-06-01T21:26:38.2222030Z     ...                                      [1.0,2.33333, 5], decimal=5)
2025-06-01T21:26:38.2222090Z     Traceback (most recent call last):
2025-06-01T21:26:38.2222130Z         ...
2025-06-01T21:26:38.2222180Z     AssertionError:
2025-06-01T21:26:38.2222250Z     Arrays are not almost equal to 5 decimals
2025-06-01T21:26:38.2222290Z     <BLANKLINE>
2025-06-01T21:26:38.2222350Z     x and y nan location mismatch:
2025-06-01T21:26:38.2222440Z      x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-06-01T21:26:38.2222560Z      y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64)
2025-06-01T21:26:38.2222600Z     
2025-06-01T21:26:38.2222640Z     
2025-06-01T21:26:38.2222790Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2222830Z     
2025-06-01T21:26:38.2222880Z       warnings.warn(msg)
2025-06-01T21:26:38.2222920Z     
2025-06-01T21:26:38.2223020Z --- Parse Warning: 25 / 118 ---
2025-06-01T21:26:38.2223740Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=clear_and_catch_warnings in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1786.
2025-06-01T21:26:38.2223900Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2224020Z     Context manager that resets warning registry for catching warnings
2025-06-01T21:26:38.2224060Z     
2025-06-01T21:26:38.2224200Z         Warnings can be slippery, because, whenever a warning is triggered, Python
2025-06-01T21:26:38.2224340Z         adds a ``__warningregistry__`` member to the *calling* module.  This makes
2025-06-01T21:26:38.2224480Z         it impossible to retrigger the warning in this module, whatever you put in
2025-06-01T21:26:38.2224630Z         the warnings filters.  This context manager accepts a sequence of `modules`
2025-06-01T21:26:38.2224710Z         as a keyword argument to its constructor and:
2025-06-01T21:26:38.2224750Z     
2025-06-01T21:26:38.2224880Z         * stores and removes any ``__warningregistry__`` entries in given `modules`
2025-06-01T21:26:38.2224920Z           on entry;
2025-06-01T21:26:38.2225040Z         * resets ``__warningregistry__`` to its previous state on exit.
2025-06-01T21:26:38.2225080Z     
2025-06-01T21:26:38.2225200Z         This makes it possible to trigger any warning afresh inside the context
2025-06-01T21:26:38.2225320Z         manager without disturbing the state of warnings outside.
2025-06-01T21:26:38.2225350Z     
2025-06-01T21:26:38.2225490Z         For compatibility with Python 3.0, please consider all arguments to be
2025-06-01T21:26:38.2225540Z         keyword-only.
2025-06-01T21:26:38.2225580Z     
2025-06-01T21:26:38.2225620Z         Parameters
2025-06-01T21:26:38.2225660Z         ----------
2025-06-01T21:26:38.2225720Z         record : bool, optional
2025-06-01T21:26:38.2225830Z             Specifies whether warnings should be captured by a custom
2025-06-01T21:26:38.2226000Z             implementation of ``warnings.showwarning()`` and be appended to a list
2025-06-01T21:26:38.2226120Z             returned by the context manager. Otherwise None is returned by the
2025-06-01T21:26:38.2226250Z             context manager. The objects appended to the list are arguments whose
2025-06-01T21:26:38.2226350Z             attributes mirror the arguments to ``showwarning()``.
2025-06-01T21:26:38.2226410Z         modules : sequence, optional
2025-06-01T21:26:38.2226540Z             Sequence of modules for which to reset warnings registry on entry and
2025-06-01T21:26:38.2226690Z             restore on exit. To work correctly, all 'ignore' filters should
2025-06-01T21:26:38.2226780Z             filter by one of these modules.
2025-06-01T21:26:38.2226820Z     
2025-06-01T21:26:38.2226860Z         Examples
2025-06-01T21:26:38.2226900Z         --------
2025-06-01T21:26:38.2226950Z         >>> import warnings
2025-06-01T21:26:38.2227070Z         >>> with np.testing.clear_and_catch_warnings(  # doctest: +SKIP
2025-06-01T21:26:38.2227140Z         ...         modules=[np.core.fromnumeric]):
2025-06-01T21:26:38.2227210Z         ...     warnings.simplefilter('always')
2025-06-01T21:26:38.2227340Z         ...     warnings.filterwarnings('ignore', module='np.core.fromnumeric')
2025-06-01T21:26:38.2227440Z         ...     # do something that raises a warning but ignore those in
2025-06-01T21:26:38.2227530Z         ...     # np.core.fromnumeric
2025-06-01T21:26:38.2227570Z         
2025-06-01T21:26:38.2227720Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2227760Z     
2025-06-01T21:26:38.2227840Z       warnings.warn(msg)
2025-06-01T21:26:38.2227880Z     
2025-06-01T21:26:38.2227990Z --- Parse Warning: 26 / 118 ---
2025-06-01T21:26:38.2228770Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel.join in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1753.
2025-06-01T21:26:38.2228930Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2228970Z     
2025-06-01T21:26:38.2229120Z     Context manager for training with uneven inputs across processes in DDP.
2025-06-01T21:26:38.2229160Z     
2025-06-01T21:26:38.2229290Z     This context manager will keep track of already-joined DDP processes,
2025-06-01T21:26:38.2229420Z     and "shadow" the forward and backward passes by inserting collective
2025-06-01T21:26:38.2229560Z     communication operations to match with the ones created by non-joined
2025-06-01T21:26:38.2229710Z     DDP processes. This will ensure each collective call has a corresponding
2025-06-01T21:26:38.2229830Z     call by already-joined DDP processes, preventing hangs or errors that
2025-06-01T21:26:38.2229960Z     would otherwise happen when training with uneven inputs across
2025-06-01T21:26:38.2230090Z     processes. Alternatively, if the flag ``throw_on_early_termination`` is
2025-06-01T21:26:38.2230220Z     specified to be ``True``, all trainers will throw an error once one rank
2025-06-01T21:26:38.2230340Z     runs out of inputs, allowing these errors to be caught and handled
2025-06-01T21:26:38.2230400Z     according to application logic.
2025-06-01T21:26:38.2230430Z     
2025-06-01T21:26:38.2230560Z     Once all DDP processes have joined, the context manager will broadcast
2025-06-01T21:26:38.2230690Z     the model corresponding to the last joined process to all processes to
2025-06-01T21:26:38.2230790Z     ensure the model is the same across all processes
2025-06-01T21:26:38.2230840Z     (which is guaranteed by DDP).
2025-06-01T21:26:38.2230880Z     
2025-06-01T21:26:38.2231000Z     To use this to enable training with uneven inputs across processes,
2025-06-01T21:26:38.2231190Z     simply wrap this context manager around your training loop. No further
2025-06-01T21:26:38.2231290Z     modifications to the model or data loading is required.
2025-06-01T21:26:38.2231330Z     
2025-06-01T21:26:38.2231370Z     .. warning::
2025-06-01T21:26:38.2231500Z         If the model or training loop this context manager is wrapped around
2025-06-01T21:26:38.2231610Z         has additional distributed collective operations, such as
2025-06-01T21:26:38.2231720Z         ``SyncBatchNorm`` in the model's forward pass, then the flag
2025-06-01T21:26:38.2231850Z         ``throw_on_early_termination`` must be enabled. This is because this
2025-06-01T21:26:38.2231990Z         context manager is not aware of non-DDP collective communication.
2025-06-01T21:26:38.2232120Z         This flag will cause all ranks to throw when any one rank
2025-06-01T21:26:38.2232240Z         exhausts inputs, allowing these errors to be caught and recovered
2025-06-01T21:26:38.2232300Z         from across all ranks.
2025-06-01T21:26:38.2232330Z     
2025-06-01T21:26:38.2232370Z     Args:
2025-06-01T21:26:38.2232480Z         divide_by_initial_world_size (bool): If ``True``, will divide
2025-06-01T21:26:38.2232600Z             gradients by the initial ``world_size`` DDP training was launched
2025-06-01T21:26:38.2232710Z             with. If ``False``, will compute the effective world size
2025-06-01T21:26:38.2232820Z             (number of ranks that have not depleted their inputs yet) and
2025-06-01T21:26:38.2232930Z             divide gradients by that during allreduce. Set
2025-06-01T21:26:38.2233030Z             ``divide_by_initial_world_size=True`` to ensure every input
2025-06-01T21:26:38.2233160Z             sample including the uneven inputs have equal weight in terms of
2025-06-01T21:26:38.2233270Z             how much they contribute to the global gradient. This is
2025-06-01T21:26:38.2233370Z             achieved by always dividing the gradient by the initial
2025-06-01T21:26:38.2233480Z             ``world_size`` even when we encounter uneven inputs. If you set
2025-06-01T21:26:38.2233580Z             this to ``False``, we divide the gradient by the remaining
2025-06-01T21:26:38.2236400Z             number of nodes. This ensures parity with training on a smaller
2025-06-01T21:26:38.2236520Z             ``world_size`` although it also means the uneven inputs would
2025-06-01T21:26:38.2236640Z             contribute more towards the global gradient. Typically, you
2025-06-01T21:26:38.2236750Z             would want to set this to ``True`` for cases where the last few
2025-06-01T21:26:38.2236870Z             inputs of your training job are uneven. In extreme cases, where
2025-06-01T21:26:38.2236980Z             there is a large discrepancy in the number of inputs, setting
2025-06-01T21:26:38.2237060Z             this to ``False`` might provide better results.
2025-06-01T21:26:38.2237190Z         enable (bool): Whether to enable uneven input detection or not. Pass
2025-06-01T21:26:38.2237290Z             in ``enable=False`` to disable in cases where you know that
2025-06-01T21:26:38.2237410Z             inputs are even across participating processes. Default is
2025-06-01T21:26:38.2237450Z             ``True``.
2025-06-01T21:26:38.2237560Z         throw_on_early_termination (bool): Whether to throw an error
2025-06-01T21:26:38.2237660Z             or continue training when at least one rank has exhausted
2025-06-01T21:26:38.2237780Z             inputs. If ``True``, will throw upon the first rank reaching end
2025-06-01T21:26:38.2237880Z             of data. If ``False``, will continue training with a smaller
2025-06-01T21:26:38.2238000Z             effective world size until all ranks are joined. Note that if
2025-06-01T21:26:38.2238070Z             this flag is specified, then the flag
2025-06-01T21:26:38.2238180Z             ``divide_by_initial_world_size`` would be ignored. Default
2025-06-01T21:26:38.2238220Z             is ``False``.
2025-06-01T21:26:38.2238260Z     
2025-06-01T21:26:38.2238300Z     
2025-06-01T21:26:38.2238340Z     Example::
2025-06-01T21:26:38.2238470Z     
2025-06-01T21:26:38.2238540Z         >>> # xdoctest: +SKIP("Distributed")
2025-06-01T21:26:38.2238590Z         >>> import torch
2025-06-01T21:26:38.2238650Z         >>> import torch.distributed as dist
2025-06-01T21:26:38.2238700Z         >>> import os
2025-06-01T21:26:38.2238760Z         >>> import torch.multiprocessing as mp
2025-06-01T21:26:38.2238820Z         >>> import torch.nn as nn
2025-06-01T21:26:38.2238870Z         >>> # On each spawned worker
2025-06-01T21:26:38.2238930Z         >>> def worker(rank):
2025-06-01T21:26:38.2239030Z         >>>     dist.init_process_group("nccl", rank=rank, world_size=2)
2025-06-01T21:26:38.2239140Z         >>>     torch.cuda.set_device(rank)
2025-06-01T21:26:38.2239240Z         >>>     model = nn.Linear(1, 1, bias=False).to(rank)
2025-06-01T21:26:38.2239350Z         >>>     model = torch.nn.parallel.DistributedDataParallel(
2025-06-01T21:26:38.2239440Z         >>>         model, device_ids=[rank], output_device=rank
2025-06-01T21:26:38.2239480Z         >>>     )
2025-06-01T21:26:38.2239550Z         >>>     # Rank 1 gets one more input than rank 0.
2025-06-01T21:26:38.2239670Z         >>>     inputs = [torch.tensor([1]).float() for _ in range(10 + rank)]
2025-06-01T21:26:38.2239720Z         >>>     with model.join():
2025-06-01T21:26:38.2239780Z         >>>         for _ in range(5):
2025-06-01T21:26:38.2239830Z         >>>             for inp in inputs:
2025-06-01T21:26:38.2239900Z         >>>                 loss = model(inp).sum()
2025-06-01T21:26:38.2239980Z         >>>                 loss.backward()
2025-06-01T21:26:38.2240090Z         >>>     # Without the join() API, the below synchronization will hang
2025-06-01T21:26:38.2240180Z         >>>     # blocking for rank 1's allreduce to complete.
2025-06-01T21:26:38.2240250Z         >>>     torch.cuda.synchronize(device=rank)
2025-06-01T21:26:38.2240290Z     
2025-06-01T21:26:38.2240440Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2240480Z     
2025-06-01T21:26:38.2240530Z       warnings.warn(msg)
2025-06-01T21:26:38.2240570Z     
2025-06-01T21:26:38.2240710Z --- Parse Warning: 27 / 118 ---
2025-06-01T21:26:38.2241520Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2044.
2025-06-01T21:26:38.2241670Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2241710Z     
2025-06-01T21:26:38.2241900Z     Register an optimizer in DDP to optimize parameter immediately after its gradient reduction.
2025-06-01T21:26:38.2241930Z     
2025-06-01T21:26:38.2242060Z     Registers an optimizer with DDP such that the optimization for a
2025-06-01T21:26:38.2242180Z     parameter will run immediately when that parameter's gradient is
2025-06-01T21:26:38.2242300Z     finished with reduction, instead of waiting for all parameters'
2025-06-01T21:26:38.2242420Z     gradients to finish reduction. This can result in a training speedup
2025-06-01T21:26:38.2242550Z     depending on your workload since the optimizer can run while gradient
2025-06-01T21:26:38.2242690Z     reduction for other parameters are still ongoing. In addition, this has
2025-06-01T21:26:38.2242820Z     the potential to reduce peak memory consumption during training, as it
2025-06-01T21:26:38.2242940Z     only needs to load the per-parameter optimizer states of a single
2025-06-01T21:26:38.2243060Z     parameter at a time, instead of loading all per-parameter optimizer
2025-06-01T21:26:38.2243110Z     states at once.
2025-06-01T21:26:38.2243150Z     
2025-06-01T21:26:38.2243190Z     Args:
2025-06-01T21:26:38.2243300Z         optim (Type): a ``torch.optim.Optimizer`` class to be registered
2025-06-01T21:26:38.2243360Z         as a fused optimizer.
2025-06-01T21:26:38.2243480Z         *args (Sequence[Any]): Arguments to forward to `optim`.
2025-06-01T21:26:38.2243610Z         optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters
2025-06-01T21:26:38.2243740Z         to optimize, similar to `params` argument of traditional `torch.optim`
2025-06-01T21:26:38.2243860Z         Optimizers. If this is omitted, all DDP model parameters will be
2025-06-01T21:26:38.2243900Z         optimized.
2025-06-01T21:26:38.2244020Z         **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`.
2025-06-01T21:26:38.2244060Z     
2025-06-01T21:26:38.2244100Z     .. warning ::
2025-06-01T21:26:38.2244240Z         _register_fused_optim should only be called once on a DDP instance,
2025-06-01T21:26:38.2244390Z         and registering multiple fused optimizers for the same DDP model
2025-06-01T21:26:38.2244460Z         is not currently supported. Please ping
2025-06-01T21:26:38.2244600Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-06-01T21:26:38.2244650Z         for your use case.
2025-06-01T21:26:38.2244690Z     
2025-06-01T21:26:38.2244730Z     .. warning ::
2025-06-01T21:26:38.2244840Z         _register_fused_optim and register_comm_hook currently do not
2025-06-01T21:26:38.2244970Z         compose together, meaning that custom DDP communication hooks are
2025-06-01T21:26:38.2245070Z         not supported with overlapped optimizers. Please ping
2025-06-01T21:26:38.2245230Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-06-01T21:26:38.2245280Z         for your use case.
2025-06-01T21:26:38.2245320Z     
2025-06-01T21:26:38.2245360Z     .. warning ::
2025-06-01T21:26:38.2245500Z         Gradient accumulation and DDP `no_sync` are currently not supported
2025-06-01T21:26:38.2245570Z         with overlapped optimizer. Please ping
2025-06-01T21:26:38.2245700Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-06-01T21:26:38.2245750Z         for your use case.
2025-06-01T21:26:38.2245790Z     
2025-06-01T21:26:38.2245830Z     Example::
2025-06-01T21:26:38.2245870Z     
2025-06-01T21:26:38.2245940Z         >>> # xdoctest: +SKIP("No rendezvous handler")
2025-06-01T21:26:38.2246120Z         >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...')
2025-06-01T21:26:38.2246240Z         >>> net = torch.nn.parallel.DistributedDataParallel(model, pg)
2025-06-01T21:26:38.2246290Z         >>> lr = 1e-2
2025-06-01T21:26:38.2246340Z         >>> betas = (0.9, 0.99)
2025-06-01T21:26:38.2246380Z         >>> eps = 1e-6
2025-06-01T21:26:38.2246520Z         >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps)
2025-06-01T21:26:38.2246590Z         >>> # Example with subset of parameters
2025-06-01T21:26:38.2246670Z         >>> params_to_opt = [list(net.parameters())[0]]
2025-06-01T21:26:38.2246730Z         >>> net._register_fused_optim(
2025-06-01T21:26:38.2246870Z         ...   torch.optim.Adam, lr, optim_params=params_to_opt,  betas=betas, eps=eps
2025-06-01T21:26:38.2246910Z         ... )
2025-06-01T21:26:38.2246950Z     
2025-06-01T21:26:38.2247100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2247130Z     
2025-06-01T21:26:38.2247180Z       warnings.warn(msg)
2025-06-01T21:26:38.2247220Z     
2025-06-01T21:26:38.2247320Z --- Parse Warning: 28 / 118 ---
2025-06-01T21:26:38.2248090Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=14.
2025-06-01T21:26:38.2248250Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2248390Z     Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``.
2025-06-01T21:26:38.2248460Z     
2025-06-01T21:26:38.2248620Z         The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-06-01T21:26:38.2248790Z         Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-06-01T21:26:38.2248950Z         This function is used to facilitate the computation to adopt NHWC kernels, which
2025-06-01T21:26:38.2249140Z         provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-06-01T21:26:38.2249180Z     
2025-06-01T21:26:38.2249220Z         .. note::
2025-06-01T21:26:38.2249430Z             Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive
2025-06-01T21:26:38.2249610Z             than the utility function ``convert_conv2d_weight_memory_format``. Any
2025-06-01T21:26:38.2249740Z             layer with 4d weight will be affected by ``model.to``, which does not
2025-06-01T21:26:38.2249880Z             necessarily benefit from conversion to specified ``memory_format``.
2025-06-01T21:26:38.2250010Z             One place we are confident in is that NHWC(channels_last) conversion for
2025-06-01T21:26:38.2250150Z             convolution in cuDNN, as it is beneficial to run convolution in NHWC,
2025-06-01T21:26:38.2250270Z             even in cases where we have to apply permutation to input tensors.
2025-06-01T21:26:38.2250310Z     
2025-06-01T21:26:38.2250440Z             Hence our strategy here is to convert only the weight of convolution to
2025-06-01T21:26:38.2250530Z             channels_last. This ensures that;
2025-06-01T21:26:38.2250660Z             1. Fast convolution kernels will be used, the benefit of which could
2025-06-01T21:26:38.2250800Z             outweigh overhead of permutation (if input is not in the same format).
2025-06-01T21:26:38.2250940Z             2. No unnecessary permutations are applied on layers that do not benefit
2025-06-01T21:26:38.2251000Z             from memory_format conversion.
2025-06-01T21:26:38.2251040Z     
2025-06-01T21:26:38.2251170Z             The optimal case is that, layers between convolution layers are channels
2025-06-01T21:26:38.2251320Z             last compatible. Input tensor would be permuted to channels last when it
2025-06-01T21:26:38.2251450Z             encounters the first convolution layer and stay in that memory format.
2025-06-01T21:26:38.2251590Z             Hence following convolutions will not need to permute its input tensor.
2025-06-01T21:26:38.2251630Z     
2025-06-01T21:26:38.2251760Z             In case where a channels last incompatible layer is between convolution
2025-06-01T21:26:38.2251890Z             layers, we need to permute the input tensor back to contiguous format
2025-06-01T21:26:38.2252020Z             for that layer. The input tensor will go through the remaining layers in
2025-06-01T21:26:38.2252150Z             contiguous format and be permuted to channels last when it encounters
2025-06-01T21:26:38.2252270Z             another convolution layer. There's no point in propagating that
2025-06-01T21:26:38.2252400Z             permutation to an earlier layer, as most layers are quite agnostic to
2025-06-01T21:26:38.2252460Z             ``memory_format``.
2025-06-01T21:26:38.2252490Z     
2025-06-01T21:26:38.2252630Z             This claim might change when PyTorch supports fusion of permutation, as
2025-06-01T21:26:38.2252760Z             there might have been a better spot to fuse the permutation other than
2025-06-01T21:26:38.2252830Z             immediately before a convolution.
2025-06-01T21:26:38.2252870Z     
2025-06-01T21:26:38.2252910Z         Args:
2025-06-01T21:26:38.2253040Z             module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container
2025-06-01T21:26:38.2253100Z                                 ``nn.Module``
2025-06-01T21:26:38.2253190Z             memory_format: user specified ``memory_format``,
2025-06-01T21:26:38.2253300Z                 e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-06-01T21:26:38.2253340Z     
2025-06-01T21:26:38.2253400Z         Returns:
2025-06-01T21:26:38.2253480Z             The original module with updated ``nn.Conv2d``
2025-06-01T21:26:38.2253520Z     
2025-06-01T21:26:38.2253560Z         Example:
2025-06-01T21:26:38.2253640Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-06-01T21:26:38.2253740Z             >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-06-01T21:26:38.2253880Z             >>> input = torch.randint(1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda")
2025-06-01T21:26:38.2253930Z             >>> model = nn.Sequential(
2025-06-01T21:26:38.2254000Z             >>>     nn.Conv2d(8, 4, 3)).cuda().half()
2025-06-01T21:26:38.2254080Z             >>> # This is identical to:
2025-06-01T21:26:38.2254250Z             >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-06-01T21:26:38.2254410Z             >>> model = nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-06-01T21:26:38.2254460Z             >>> out = model(input)
2025-06-01T21:26:38.2254500Z         
2025-06-01T21:26:38.2254650Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2254690Z     
2025-06-01T21:26:38.2254740Z       warnings.warn(msg)
2025-06-01T21:26:38.2254780Z     
2025-06-01T21:26:38.2254880Z --- Parse Warning: 29 / 118 ---
2025-06-01T21:26:38.2255650Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=89.
2025-06-01T21:26:38.2255810Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2255940Z     Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format``
2025-06-01T21:26:38.2256100Z         The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-06-01T21:26:38.2256260Z         Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-06-01T21:26:38.2256410Z         This function is used to facilitate the computation to adopt NHWC kernels, which
2025-06-01T21:26:38.2256590Z         provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-06-01T21:26:38.2256630Z     
2025-06-01T21:26:38.2256670Z         .. note::
2025-06-01T21:26:38.2256820Z             Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive
2025-06-01T21:26:38.2256950Z             than the utility function ``convert_conv3d_weight_memory_format``. Any
2025-06-01T21:26:38.2257080Z             layer with 4d weight will be affected by ``model.to``, which does not
2025-06-01T21:26:38.2257210Z             necessarily benefit from conversion to specified ``memory_format``.
2025-06-01T21:26:38.2257350Z             One place we are confident in is that NDHWC(channels_last_3d) conversion for
2025-06-01T21:26:38.2257480Z             convolution in cuDNN, as it is beneficial to run convolution in NDHWC,
2025-06-01T21:26:38.2257610Z             even in cases where we have to apply permutation to input tensors.
2025-06-01T21:26:38.2257640Z     
2025-06-01T21:26:38.2257780Z             Hence our strategy here is to convert only the weight of convolution to
2025-06-01T21:26:38.2257850Z             channels_last_3d. This ensures that;
2025-06-01T21:26:38.2257970Z             1. Fast convolution kernels will be used, the benefit of which could
2025-06-01T21:26:38.2258110Z             outweigh overhead of permutation (if input is not in the same format).
2025-06-01T21:26:38.2258250Z             2. No unnecessary permutations are applied on layers that do not benefit
2025-06-01T21:26:38.2258320Z             from memory_format conversion.
2025-06-01T21:26:38.2258360Z     
2025-06-01T21:26:38.2258490Z             The optimal case is that, layers between convolution layers are channels
2025-06-01T21:26:38.2258660Z             last compatible. Input tensor would be permuted to channels last when it
2025-06-01T21:26:38.2258790Z             encounters the first convolution layer and stay in that memory format.
2025-06-01T21:26:38.2258930Z             Hence following convolutions will not need to permute its input tensor.
2025-06-01T21:26:38.2258970Z     
2025-06-01T21:26:38.2259100Z             In case where a channels last incompatible layer is between convolution
2025-06-01T21:26:38.2259230Z             layers, we need to permute the input tensor back to contiguous format
2025-06-01T21:26:38.2259380Z             for that layer. The input tensor will go through the remaining layers in
2025-06-01T21:26:38.2259540Z             contiguous format and be permuted to channels last when it encounters
2025-06-01T21:26:38.2259660Z             another convolution layer. There's no point in propagating that
2025-06-01T21:26:38.2259780Z             permutation to an earlier layer, as most layers are quite agnostic to
2025-06-01T21:26:38.2259830Z             ``memory_format``.
2025-06-01T21:26:38.2259870Z     
2025-06-01T21:26:38.2260000Z             This claim might change when PyTorch supports fusion of permutation, as
2025-06-01T21:26:38.2260130Z             there might have been a better spot to fuse the permutation other than
2025-06-01T21:26:38.2260190Z             immediately before a convolution.
2025-06-01T21:26:38.2260230Z     
2025-06-01T21:26:38.2260270Z         Args:
2025-06-01T21:26:38.2260410Z             module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container
2025-06-01T21:26:38.2260470Z                                 ``nn.Module``
2025-06-01T21:26:38.2260560Z             memory_format: user specified ``memory_format``,
2025-06-01T21:26:38.2260660Z                 e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-06-01T21:26:38.2260700Z     
2025-06-01T21:26:38.2260740Z         Returns:
2025-06-01T21:26:38.2260820Z             The original module with updated ``nn.Conv3d``
2025-06-01T21:26:38.2260860Z     
2025-06-01T21:26:38.2260900Z         Example:
2025-06-01T21:26:38.2260980Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-06-01T21:26:38.2261070Z             >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-06-01T21:26:38.2261200Z             >>> input = torch.randint(1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda")
2025-06-01T21:26:38.2261260Z             >>> model = nn.Sequential(
2025-06-01T21:26:38.2261330Z             >>>     nn.Conv3d(8, 4, 3)).cuda().half()
2025-06-01T21:26:38.2261380Z             >>> # This is identical to:
2025-06-01T21:26:38.2261530Z             >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-06-01T21:26:38.2261680Z             >>> model = nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-06-01T21:26:38.2261740Z             >>> out = model(input)
2025-06-01T21:26:38.2261780Z         
2025-06-01T21:26:38.2261920Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2261960Z     
2025-06-01T21:26:38.2262010Z       warnings.warn(msg)
2025-06-01T21:26:38.2262050Z     
2025-06-01T21:26:38.2262140Z --- Parse Warning: 30 / 118 ---
2025-06-01T21:26:38.2262820Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=random_structured in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py line=935.
2025-06-01T21:26:38.2262970Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2263100Z     Prune tensor by removing random channels along the specified dimension.
2025-06-01T21:26:38.2263140Z     
2025-06-01T21:26:38.2263270Z         Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-06-01T21:26:38.2263390Z         by removing the specified ``amount`` of (currently unpruned) channels
2025-06-01T21:26:38.2263500Z         along the specified ``dim`` selected at random.
2025-06-01T21:26:38.2263620Z         Modifies module in place (and also return the modified module)
2025-06-01T21:26:38.2263660Z         by:
2025-06-01T21:26:38.2263700Z     
2025-06-01T21:26:38.2263830Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-06-01T21:26:38.2263960Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-06-01T21:26:38.2264090Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-06-01T21:26:38.2264230Z            original (unpruned) parameter is stored in a new parameter named
2025-06-01T21:26:38.2264300Z            ``name+'_orig'``.
2025-06-01T21:26:38.2264340Z     
2025-06-01T21:26:38.2264380Z         Args:
2025-06-01T21:26:38.2264490Z             module (nn.Module): module containing the tensor to prune
2025-06-01T21:26:38.2264600Z             name (str): parameter name within ``module`` on which pruning
2025-06-01T21:26:38.2264650Z                     will act.
2025-06-01T21:26:38.2264750Z             amount (int or float): quantity of parameters to prune.
2025-06-01T21:26:38.2264860Z                 If ``float``, should be between 0.0 and 1.0 and represent the
2025-06-01T21:26:38.2264980Z                 fraction of parameters to prune. If ``int``, it represents the
2025-06-01T21:26:38.2265060Z                 absolute number of parameters to prune.
2025-06-01T21:26:38.2265210Z             dim (int): index of the dim along which we define channels to prune.
2025-06-01T21:26:38.2265250Z     
2025-06-01T21:26:38.2265290Z         Returns:
2025-06-01T21:26:38.2265420Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-06-01T21:26:38.2265460Z     
2025-06-01T21:26:38.2265500Z         Examples:
2025-06-01T21:26:38.2265550Z             >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2265620Z             >>> m = prune.random_structured(
2025-06-01T21:26:38.2265710Z             ...     nn.Linear(5, 3), 'weight', amount=3, dim=1
2025-06-01T21:26:38.2265750Z             ... )
2025-06-01T21:26:38.2265860Z             >>> columns_pruned = int(sum(torch.sum(m.weight, dim=0) == 0))
2025-06-01T21:26:38.2265910Z             >>> print(columns_pruned)
2025-06-01T21:26:38.2265950Z             3
2025-06-01T21:26:38.2265990Z         
2025-06-01T21:26:38.2266140Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2266180Z     
2025-06-01T21:26:38.2266230Z       warnings.warn(msg)
2025-06-01T21:26:38.2266270Z     
2025-06-01T21:26:38.2266360Z --- Parse Warning: 31 / 118 ---
2025-06-01T21:26:38.2267050Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ln_structured in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py line=976.
2025-06-01T21:26:38.2267210Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2267390Z     Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension.
2025-06-01T21:26:38.2267430Z     
2025-06-01T21:26:38.2267560Z         Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-06-01T21:26:38.2267690Z         by removing the specified ``amount`` of (currently unpruned) channels
2025-06-01T21:26:38.2267800Z         along the specified ``dim`` with the lowest L\ ``n``-norm.
2025-06-01T21:26:38.2267920Z         Modifies module in place (and also return the modified module)
2025-06-01T21:26:38.2267960Z         by:
2025-06-01T21:26:38.2267990Z     
2025-06-01T21:26:38.2268120Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-06-01T21:26:38.2268250Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-06-01T21:26:38.2268400Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-06-01T21:26:38.2268520Z            original (unpruned) parameter is stored in a new parameter named
2025-06-01T21:26:38.2268570Z            ``name+'_orig'``.
2025-06-01T21:26:38.2268610Z     
2025-06-01T21:26:38.2268650Z         Args:
2025-06-01T21:26:38.2268750Z             module (nn.Module): module containing the tensor to prune
2025-06-01T21:26:38.2268870Z             name (str): parameter name within ``module`` on which pruning
2025-06-01T21:26:38.2268910Z                     will act.
2025-06-01T21:26:38.2269050Z             amount (int or float): quantity of parameters to prune.
2025-06-01T21:26:38.2269180Z                 If ``float``, should be between 0.0 and 1.0 and represent the
2025-06-01T21:26:38.2269300Z                 fraction of parameters to prune. If ``int``, it represents the
2025-06-01T21:26:38.2269380Z                 absolute number of parameters to prune.
2025-06-01T21:26:38.2269490Z             n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid
2025-06-01T21:26:38.2269590Z                 entries for argument ``p`` in :func:`torch.norm`.
2025-06-01T21:26:38.2269710Z             dim (int): index of the dim along which we define channels to prune.
2025-06-01T21:26:38.2269850Z             importance_scores (torch.Tensor): tensor of importance scores (of same
2025-06-01T21:26:38.2269960Z                 shape as module parameter) used to compute mask for pruning.
2025-06-01T21:26:38.2270110Z                 The values in this tensor indicate the importance of the corresponding
2025-06-01T21:26:38.2270190Z                 elements in the parameter being pruned.
2025-06-01T21:26:38.2270330Z                 If unspecified or None, the module parameter will be used in its place.
2025-06-01T21:26:38.2270370Z     
2025-06-01T21:26:38.2270410Z         Returns:
2025-06-01T21:26:38.2270540Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-06-01T21:26:38.2270580Z     
2025-06-01T21:26:38.2270620Z         Examples:
2025-06-01T21:26:38.2270690Z             >>> from torch.nn.utils import prune
2025-06-01T21:26:38.2270750Z             >>> m = prune.ln_structured(
2025-06-01T21:26:38.2270860Z             ...     nn.Conv2d(5, 3, 2), 'weight', amount=0.3, dim=1, n=float('-inf')
2025-06-01T21:26:38.2270900Z             ... )
2025-06-01T21:26:38.2270940Z         
2025-06-01T21:26:38.2271090Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2271120Z     
2025-06-01T21:26:38.2271180Z       warnings.warn(msg)
2025-06-01T21:26:38.2271210Z     
2025-06-01T21:26:38.2271310Z --- Parse Warning: 32 / 118 ---
2025-06-01T21:26:38.2272020Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=global_unstructured in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1023.
2025-06-01T21:26:38.2272170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2272210Z     
2025-06-01T21:26:38.2272460Z     Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``.
2025-06-01T21:26:38.2272500Z     
2025-06-01T21:26:38.2272560Z     Modifies modules in place by:
2025-06-01T21:26:38.2272600Z     
2025-06-01T21:26:38.2272730Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-06-01T21:26:38.2272850Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-06-01T21:26:38.2272980Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-06-01T21:26:38.2273100Z        original (unpruned) parameter is stored in a new parameter named
2025-06-01T21:26:38.2273150Z        ``name+'_orig'``.
2025-06-01T21:26:38.2273190Z     
2025-06-01T21:26:38.2273230Z     Args:
2025-06-01T21:26:38.2273370Z         parameters (Iterable of (module, name) tuples): parameters of
2025-06-01T21:26:38.2273480Z             the model to prune in a global fashion, i.e. by aggregating all
2025-06-01T21:26:38.2273610Z             weights prior to deciding which ones to prune. module must be of
2025-06-01T21:26:38.2273700Z             type :class:`nn.Module`, and name must be a string.
2025-06-01T21:26:38.2273830Z         pruning_method (function): a valid pruning function from this module,
2025-06-01T21:26:38.2273940Z             or a custom one implemented by the user that satisfies the
2025-06-01T21:26:38.2274090Z             implementation guidelines and has ``PRUNING_TYPE='unstructured'``.
2025-06-01T21:26:38.2274250Z         importance_scores (dict): a dictionary mapping (module, name) tuples to
2025-06-01T21:26:38.2274380Z             the corresponding parameter's importance scores tensor. The tensor
2025-06-01T21:26:38.2274500Z             should be the same shape as the parameter, and is used for computing
2025-06-01T21:26:38.2274560Z             mask for pruning.
2025-06-01T21:26:38.2274680Z             If unspecified or None, the parameter will be used in place of its
2025-06-01T21:26:38.2274730Z             importance scores.
2025-06-01T21:26:38.2274800Z         kwargs: other keyword arguments such as:
2025-06-01T21:26:38.2274920Z             amount (int or float): quantity of parameters to prune across the
2025-06-01T21:26:38.2274980Z             specified parameters.
2025-06-01T21:26:38.2275100Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-06-01T21:26:38.2275220Z             fraction of parameters to prune. If ``int``, it represents the
2025-06-01T21:26:38.2275300Z             absolute number of parameters to prune.
2025-06-01T21:26:38.2275340Z     
2025-06-01T21:26:38.2275370Z     Raises:
2025-06-01T21:26:38.2275460Z         TypeError: if ``PRUNING_TYPE != 'unstructured'``
2025-06-01T21:26:38.2275500Z     
2025-06-01T21:26:38.2275540Z     Note:
2025-06-01T21:26:38.2275670Z         Since global structured pruning doesn't make much sense unless the
2025-06-01T21:26:38.2275790Z         norm is normalized by the size of the parameter, we now limit the
2025-06-01T21:26:38.2275870Z         scope of global pruning to unstructured methods.
2025-06-01T21:26:38.2275910Z     
2025-06-01T21:26:38.2275950Z     Examples:
2025-06-01T21:26:38.2276020Z         >>> from torch.nn.utils import prune
2025-06-01T21:26:38.2276090Z         >>> from collections import OrderedDict
2025-06-01T21:26:38.2276150Z         >>> net = nn.Sequential(OrderedDict([
2025-06-01T21:26:38.2276210Z         ...     ('first', nn.Linear(10, 4)),
2025-06-01T21:26:38.2276270Z         ...     ('second', nn.Linear(4, 1)),
2025-06-01T21:26:38.2276310Z         ... ]))
2025-06-01T21:26:38.2276370Z         >>> parameters_to_prune = (
2025-06-01T21:26:38.2276420Z         ...     (net.first, 'weight'),
2025-06-01T21:26:38.2276480Z         ...     (net.second, 'weight'),
2025-06-01T21:26:38.2276520Z         ... )
2025-06-01T21:26:38.2276580Z         >>> prune.global_unstructured(
2025-06-01T21:26:38.2276630Z         ...     parameters_to_prune,
2025-06-01T21:26:38.2276710Z         ...     pruning_method=prune.L1Unstructured,
2025-06-01T21:26:38.2276790Z         ...     amount=10,
2025-06-01T21:26:38.2276830Z         ... )
2025-06-01T21:26:38.2276960Z         >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0))
2025-06-01T21:26:38.2277000Z         tensor(10)
2025-06-01T21:26:38.2277040Z     
2025-06-01T21:26:38.2277080Z     
2025-06-01T21:26:38.2277230Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2277270Z     
2025-06-01T21:26:38.2277320Z       warnings.warn(msg)
2025-06-01T21:26:38.2277360Z     
2025-06-01T21:26:38.2277450Z --- Parse Warning: 33 / 118 ---
2025-06-01T21:26:38.2278150Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=custom_from_mask in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1142.
2025-06-01T21:26:38.2278360Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2278600Z     Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``.
2025-06-01T21:26:38.2278640Z     
2025-06-01T21:26:38.2278770Z         Modifies module in place (and also return the modified module) by:
2025-06-01T21:26:38.2278800Z     
2025-06-01T21:26:38.2278950Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-06-01T21:26:38.2279100Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-06-01T21:26:38.2279220Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-06-01T21:26:38.2279350Z            original (unpruned) parameter is stored in a new parameter named
2025-06-01T21:26:38.2279400Z            ``name+'_orig'``.
2025-06-01T21:26:38.2279440Z     
2025-06-01T21:26:38.2279480Z         Args:
2025-06-01T21:26:38.2279590Z             module (nn.Module): module containing the tensor to prune
2025-06-01T21:26:38.2279690Z             name (str): parameter name within ``module`` on which pruning
2025-06-01T21:26:38.2279740Z                 will act.
2025-06-01T21:26:38.2279850Z             mask (Tensor): binary mask to be applied to the parameter.
2025-06-01T21:26:38.2279890Z     
2025-06-01T21:26:38.2279940Z         Returns:
2025-06-01T21:26:38.2280080Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-06-01T21:26:38.2280110Z     
2025-06-01T21:26:38.2280160Z         Examples:
2025-06-01T21:26:38.2280230Z             >>> from torch.nn.utils import prune
2025-06-01T21:26:38.2280280Z             >>> m = prune.custom_from_mask(
2025-06-01T21:26:38.2280390Z             ...     nn.Linear(5, 3), name='bias', mask=torch.tensor([0, 1, 0])
2025-06-01T21:26:38.2280430Z             ... )
2025-06-01T21:26:38.2280490Z             >>> print(m.bias_mask)
2025-06-01T21:26:38.2280540Z             tensor([0., 1., 0.])
2025-06-01T21:26:38.2280580Z     
2025-06-01T21:26:38.2280620Z         
2025-06-01T21:26:38.2280760Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2280800Z     
2025-06-01T21:26:38.2280850Z       warnings.warn(msg)
2025-06-01T21:26:38.2280890Z     
2025-06-01T21:26:38.2280980Z --- Parse Warning: 34 / 118 ---
2025-06-01T21:26:38.2281670Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Unflatten in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=60.
2025-06-01T21:26:38.2281820Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2281870Z     
2025-06-01T21:26:38.2282050Z     Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`.
2025-06-01T21:26:38.2282090Z     
2025-06-01T21:26:38.2282250Z     * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can
2025-06-01T21:26:38.2282380Z       be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively.
2025-06-01T21:26:38.2282420Z     
2025-06-01T21:26:38.2282610Z     * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be
2025-06-01T21:26:38.2282760Z       a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input;  a `NamedShape`
2025-06-01T21:26:38.2282870Z       (tuple of `(name, size)` tuples) for `NamedTensor` input.
2025-06-01T21:26:38.2282910Z     
2025-06-01T21:26:38.2282950Z     Shape:
2025-06-01T21:26:38.2283080Z         - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at
2025-06-01T21:26:38.2283230Z           dimension :attr:`dim` and :math:`*` means any number of dimensions including none.
2025-06-01T21:26:38.2283380Z         - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and
2025-06-01T21:26:38.2283460Z           :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`.
2025-06-01T21:26:38.2283500Z     
2025-06-01T21:26:38.2283530Z     Args:
2025-06-01T21:26:38.2283620Z         dim (Union[int, str]): Dimension to be unflattened
2025-06-01T21:26:38.2283830Z         unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension
2025-06-01T21:26:38.2283870Z     
2025-06-01T21:26:38.2283910Z     Examples:
2025-06-01T21:26:38.2283990Z         >>> input = torch.randn(2, 50)
2025-06-01T21:26:38.2284050Z         >>> # With tuple of ints
2025-06-01T21:26:38.2284110Z         >>> m = nn.Sequential(
2025-06-01T21:26:38.2284160Z         >>>     nn.Linear(50, 50),
2025-06-01T21:26:38.2284220Z         >>>     nn.Unflatten(1, (2, 5, 5))
2025-06-01T21:26:38.2284260Z         >>> )
2025-06-01T21:26:38.2284310Z         >>> output = m(input)
2025-06-01T21:26:38.2284360Z         >>> output.size()
2025-06-01T21:26:38.2284410Z         torch.Size([2, 2, 5, 5])
2025-06-01T21:26:38.2284460Z         >>> # With torch.Size
2025-06-01T21:26:38.2284510Z         >>> m = nn.Sequential(
2025-06-01T21:26:38.2284560Z         >>>     nn.Linear(50, 50),
2025-06-01T21:26:38.2284630Z         >>>     nn.Unflatten(1, torch.Size([2, 5, 5]))
2025-06-01T21:26:38.2284670Z         >>> )
2025-06-01T21:26:38.2284750Z         >>> output = m(input)
2025-06-01T21:26:38.2284800Z         >>> output.size()
2025-06-01T21:26:38.2284850Z         torch.Size([2, 2, 5, 5])
2025-06-01T21:26:38.2284920Z         >>> # With namedshape (tuple of tuples)
2025-06-01T21:26:38.2285020Z         >>> input = torch.randn(2, 50, names=('N', 'features'))
2025-06-01T21:26:38.2285140Z         >>> unflatten = nn.Unflatten('features', (('C', 2), ('H', 5), ('W', 5)))
2025-06-01T21:26:38.2285190Z         >>> output = unflatten(input)
2025-06-01T21:26:38.2285240Z         >>> output.size()
2025-06-01T21:26:38.2285300Z         torch.Size([2, 2, 5, 5])
2025-06-01T21:26:38.2285330Z     
2025-06-01T21:26:38.2285480Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2285520Z     
2025-06-01T21:26:38.2285570Z       warnings.warn(msg)
2025-06-01T21:26:38.2285600Z     
2025-06-01T21:26:38.2285700Z --- Parse Warning: 35 / 118 ---
2025-06-01T21:26:38.2286410Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=601.
2025-06-01T21:26:38.2286560Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2286660Z     Applies Batch Normalization over a N-Dimensional input.
2025-06-01T21:26:38.2286710Z     
2025-06-01T21:26:38.2286910Z         The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper
2025-06-01T21:26:38.2287050Z         `Batch Normalization: Accelerating Deep Network Training by Reducing
2025-06-01T21:26:38.2287170Z         Internal Covariate Shift <https://arxiv.org/abs/1502.03167>`__ .
2025-06-01T21:26:38.2287210Z     
2025-06-01T21:26:38.2287250Z         .. math::
2025-06-01T21:26:38.2287290Z     
2025-06-01T21:26:38.2287420Z             y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
2025-06-01T21:26:38.2287460Z     
2025-06-01T21:26:38.2287600Z         The mean and standard-deviation are calculated per-dimension over all
2025-06-01T21:26:38.2287740Z         mini-batches of the same process groups. :math:`\gamma` and :math:`\beta`
2025-06-01T21:26:38.2287880Z         are learnable parameter vectors of size `C` (where `C` is the input size).
2025-06-01T21:26:38.2287990Z         By default, the elements of :math:`\gamma` are sampled from
2025-06-01T21:26:38.2288130Z         :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0.
2025-06-01T21:26:38.2288280Z         The standard-deviation is calculated via the biased estimator, equivalent to
2025-06-01T21:26:38.2288350Z         `torch.var(input, unbiased=False)`.
2025-06-01T21:26:38.2288390Z     
2025-06-01T21:26:38.2288530Z         Also by default, during training this layer keeps running estimates of its
2025-06-01T21:26:38.2288660Z         computed mean and variance, which are then used for normalization during
2025-06-01T21:26:38.2288830Z         evaluation. The running estimates are kept with a default :attr:`momentum`
2025-06-01T21:26:38.2288900Z         of 0.1.
2025-06-01T21:26:38.2291720Z     
2025-06-01T21:26:38.2291860Z         If :attr:`track_running_stats` is set to ``False``, this layer then does not
2025-06-01T21:26:38.2292000Z         keep running estimates, and batch statistics are instead used during
2025-06-01T21:26:38.2292060Z         evaluation time as well.
2025-06-01T21:26:38.2292100Z     
2025-06-01T21:26:38.2292140Z         .. note::
2025-06-01T21:26:38.2292270Z             This :attr:`momentum` argument is different from one used in optimizer
2025-06-01T21:26:38.2292400Z             classes and the conventional notion of momentum. Mathematically, the
2025-06-01T21:26:38.2292480Z             update rule for running statistics here is
2025-06-01T21:26:38.2292730Z             :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`,
2025-06-01T21:26:38.2292850Z             where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the
2025-06-01T21:26:38.2292910Z             new observed value.
2025-06-01T21:26:38.2292950Z     
2025-06-01T21:26:38.2293130Z         Because the Batch Normalization is done for each channel in the ``C`` dimension, computing
2025-06-01T21:26:38.2293280Z         statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch
2025-06-01T21:26:38.2293390Z         Normalization or Spatio-temporal Batch Normalization.
2025-06-01T21:26:38.2293420Z     
2025-06-01T21:26:38.2293510Z         Currently :class:`SyncBatchNorm` only supports
2025-06-01T21:26:38.2293680Z         :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use
2025-06-01T21:26:38.2293810Z         :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert
2025-06-01T21:26:38.2293940Z         :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping
2025-06-01T21:26:38.2293990Z         Network with DDP.
2025-06-01T21:26:38.2294030Z     
2025-06-01T21:26:38.2294070Z         Args:
2025-06-01T21:26:38.2294170Z             num_features: :math:`C` from an expected input of size
2025-06-01T21:26:38.2294220Z                 :math:`(N, C, +)`
2025-06-01T21:26:38.2294330Z             eps: a value added to the denominator for numerical stability.
2025-06-01T21:26:38.2294380Z                 Default: ``1e-5``
2025-06-01T21:26:38.2294500Z             momentum: the value used for the running_mean and running_var
2025-06-01T21:26:38.2294630Z                 computation. Can be set to ``None`` for cumulative moving average
2025-06-01T21:26:38.2294700Z                 (i.e. simple average). Default: 0.1
2025-06-01T21:26:38.2294820Z             affine: a boolean value that when set to ``True``, this module has
2025-06-01T21:26:38.2294910Z                 learnable affine parameters. Default: ``True``
2025-06-01T21:26:38.2295030Z             track_running_stats: a boolean value that when set to ``True``, this
2025-06-01T21:26:38.2295180Z                 module tracks the running mean and variance, and when set to ``False``,
2025-06-01T21:26:38.2295310Z                 this module does not track such statistics, and initializes statistics
2025-06-01T21:26:38.2295430Z                 buffers :attr:`running_mean` and :attr:`running_var` as ``None``.
2025-06-01T21:26:38.2295570Z                 When these buffers are ``None``, this module always uses batch statistics.
2025-06-01T21:26:38.2295680Z                 in both training and eval modes. Default: ``True``
2025-06-01T21:26:38.2295830Z             process_group: synchronization of stats happen within each process group
2025-06-01T21:26:38.2295960Z                 individually. Default behavior is synchronization across the whole
2025-06-01T21:26:38.2296000Z                 world
2025-06-01T21:26:38.2296040Z     
2025-06-01T21:26:38.2296080Z         Shape:
2025-06-01T21:26:38.2296140Z             - Input: :math:`(N, C, +)`
2025-06-01T21:26:38.2296230Z             - Output: :math:`(N, C, +)` (same shape as input)
2025-06-01T21:26:38.2296270Z     
2025-06-01T21:26:38.2296330Z         .. note::
2025-06-01T21:26:38.2296500Z             Synchronization of batchnorm statistics occurs only while training, i.e.
2025-06-01T21:26:38.2296620Z             synchronization is disabled when ``model.eval()`` is set or if
2025-06-01T21:26:38.2296690Z             ``self.training`` is otherwise ``False``.
2025-06-01T21:26:38.2296730Z     
2025-06-01T21:26:38.2296770Z         Examples::
2025-06-01T21:26:38.2296810Z     
2025-06-01T21:26:38.2296860Z             >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2296930Z             >>> # With Learnable Parameters
2025-06-01T21:26:38.2296990Z             >>> m = nn.SyncBatchNorm(100)
2025-06-01T21:26:38.2297060Z             >>> # creating process group (optional)
2025-06-01T21:26:38.2297140Z             >>> # ranks is a list of int identifying rank ids.
2025-06-01T21:26:38.2297210Z             >>> ranks = list(range(8))
2025-06-01T21:26:38.2297280Z             >>> r1, r2 = ranks[:4], ranks[4:]
2025-06-01T21:26:38.2297370Z             >>> # Note: every rank calls into new_group for every
2025-06-01T21:26:38.2297460Z             >>> # process group created, even if that rank is not
2025-06-01T21:26:38.2297510Z             >>> # part of the group.
2025-06-01T21:26:38.2297670Z             >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-06-01T21:26:38.2297790Z             >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-06-01T21:26:38.2297850Z             >>> # Without Learnable Parameters
2025-06-01T21:26:38.2297970Z             >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group)
2025-06-01T21:26:38.2298050Z             >>> input = torch.randn(20, 100, 35, 45, 10)
2025-06-01T21:26:38.2298100Z             >>> output = m(input)
2025-06-01T21:26:38.2298140Z     
2025-06-01T21:26:38.2298210Z             >>> # network is nn.BatchNorm layer
2025-06-01T21:26:38.2298370Z             >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group)
2025-06-01T21:26:38.2298470Z             >>> # only single gpu per process is currently supported
2025-06-01T21:26:38.2298610Z             >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel(
2025-06-01T21:26:38.2298670Z             >>>                         sync_bn_network,
2025-06-01T21:26:38.2298750Z             >>>                         device_ids=[args.local_rank],
2025-06-01T21:26:38.2298830Z             >>>                         output_device=args.local_rank)
2025-06-01T21:26:38.2298870Z         
2025-06-01T21:26:38.2299020Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2299060Z     
2025-06-01T21:26:38.2299110Z       warnings.warn(msg)
2025-06-01T21:26:38.2299150Z     
2025-06-01T21:26:38.2299260Z --- Parse Warning: 36 / 118 ---
2025-06-01T21:26:38.2300040Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=825.
2025-06-01T21:26:38.2300190Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2300370Z     Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers.
2025-06-01T21:26:38.2300450Z     
2025-06-01T21:26:38.2300490Z             Args:
2025-06-01T21:26:38.2300640Z                 module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers
2025-06-01T21:26:38.2300770Z                 process_group (optional): process group to scope synchronization,
2025-06-01T21:26:38.2300830Z                     default is the whole world
2025-06-01T21:26:38.2300870Z     
2025-06-01T21:26:38.2300910Z             Returns:
2025-06-01T21:26:38.2301060Z                 The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm`
2025-06-01T21:26:38.2301210Z                 layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer,
2025-06-01T21:26:38.2301360Z                 a new :class:`torch.nn.SyncBatchNorm` layer object will be returned
2025-06-01T21:26:38.2301410Z                 instead.
2025-06-01T21:26:38.2301440Z     
2025-06-01T21:26:38.2301490Z             Example::
2025-06-01T21:26:38.2301530Z     
2025-06-01T21:26:38.2301600Z                 >>> # Network with nn.BatchNorm layer
2025-06-01T21:26:38.2301690Z                 >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-06-01T21:26:38.2301760Z                 >>> module = torch.nn.Sequential(
2025-06-01T21:26:38.2301830Z                 >>>            torch.nn.Linear(20, 100),
2025-06-01T21:26:38.2301900Z                 >>>            torch.nn.BatchNorm1d(100),
2025-06-01T21:26:38.2301950Z                 >>>          ).cuda()
2025-06-01T21:26:38.2302040Z                 >>> # creating process group (optional)
2025-06-01T21:26:38.2302140Z                 >>> # ranks is a list of int identifying rank ids.
2025-06-01T21:26:38.2302200Z                 >>> ranks = list(range(8))
2025-06-01T21:26:38.2302260Z                 >>> r1, r2 = ranks[:4], ranks[4:]
2025-06-01T21:26:38.2302350Z                 >>> # Note: every rank calls into new_group for every
2025-06-01T21:26:38.2302440Z                 >>> # process group created, even if that rank is not
2025-06-01T21:26:38.2302500Z                 >>> # part of the group.
2025-06-01T21:26:38.2302570Z                 >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:38.2302720Z                 >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-06-01T21:26:38.2302840Z                 >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-06-01T21:26:38.2303020Z                 >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group)
2025-06-01T21:26:38.2303060Z     
2025-06-01T21:26:38.2303100Z             
2025-06-01T21:26:38.2303250Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2303290Z     
2025-06-01T21:26:38.2303340Z       warnings.warn(msg)
2025-06-01T21:26:38.2303370Z     
2025-06-01T21:26:38.2303470Z --- Parse Warning: 37 / 118 ---
2025-06-01T21:26:38.2304170Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MaxUnpool2d in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=406.
2025-06-01T21:26:38.2304320Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2304410Z     Computes a partial inverse of :class:`MaxPool2d`.
2025-06-01T21:26:38.2304450Z     
2025-06-01T21:26:38.2304610Z         :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost.
2025-06-01T21:26:38.2304640Z     
2025-06-01T21:26:38.2304780Z         :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d`
2025-06-01T21:26:38.2304920Z         including the indices of the maximal values and computes a partial inverse
2025-06-01T21:26:38.2305010Z         in which all non-maximal values are set to zero.
2025-06-01T21:26:38.2305050Z     
2025-06-01T21:26:38.2305090Z         Note:
2025-06-01T21:26:38.2305300Z             This operation may behave nondeterministically when the input indices has repeat values.
2025-06-01T21:26:38.2305520Z             See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information.
2025-06-01T21:26:38.2305560Z     
2025-06-01T21:26:38.2305700Z         .. note:: :class:`MaxPool2d` can map several input sizes to the same output
2025-06-01T21:26:38.2305810Z                   sizes. Hence, the inversion process can get ambiguous.
2025-06-01T21:26:38.2305920Z                   To accommodate this, you can provide the needed output size
2025-06-01T21:26:38.2306070Z                   as an additional argument :attr:`output_size` in the forward call.
2025-06-01T21:26:38.2306150Z                   See the Inputs and Example below.
2025-06-01T21:26:38.2306190Z     
2025-06-01T21:26:38.2306230Z         Args:
2025-06-01T21:26:38.2306340Z             kernel_size (int or tuple): Size of the max pooling window.
2025-06-01T21:26:38.2306450Z             stride (int or tuple): Stride of the max pooling window.
2025-06-01T21:26:38.2306530Z                 It is set to :attr:`kernel_size` by default.
2025-06-01T21:26:38.2306640Z             padding (int or tuple): Padding that was added to the input
2025-06-01T21:26:38.2306680Z     
2025-06-01T21:26:38.2306720Z         Inputs:
2025-06-01T21:26:38.2306790Z             - `input`: the input Tensor to invert
2025-06-01T21:26:38.2306940Z             - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d`
2025-06-01T21:26:38.2307040Z             - `output_size` (optional): the targeted output size
2025-06-01T21:26:38.2307080Z     
2025-06-01T21:26:38.2307120Z         Shape:
2025-06-01T21:26:38.2307240Z             - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`.
2025-06-01T21:26:38.2307370Z             - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where
2025-06-01T21:26:38.2307410Z     
2025-06-01T21:26:38.2307450Z               .. math::
2025-06-01T21:26:38.2307620Z                 H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]}
2025-06-01T21:26:38.2307660Z     
2025-06-01T21:26:38.2307700Z               .. math::
2025-06-01T21:26:38.2307850Z                 W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]}
2025-06-01T21:26:38.2307890Z     
2025-06-01T21:26:38.2307990Z               or as given by :attr:`output_size` in the call operator
2025-06-01T21:26:38.2308030Z     
2025-06-01T21:26:38.2308080Z         Example::
2025-06-01T21:26:38.2308120Z     
2025-06-01T21:26:38.2308220Z             >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True)
2025-06-01T21:26:38.2308290Z             >>> unpool = nn.MaxUnpool2d(2, stride=2)
2025-06-01T21:26:38.2308370Z             >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.],
2025-06-01T21:26:38.2308440Z                                         [ 5.,  6.,  7.,  8.],
2025-06-01T21:26:38.2308500Z                                         [ 9., 10., 11., 12.],
2025-06-01T21:26:38.2308580Z                                         [13., 14., 15., 16.]]]])
2025-06-01T21:26:38.2308640Z             >>> output, indices = pool(input)
2025-06-01T21:26:38.2308700Z             >>> unpool(output, indices)
2025-06-01T21:26:38.2308750Z             tensor([[[[  0.,   0.,   0.,   0.],
2025-06-01T21:26:38.2308810Z                       [  0.,   6.,   0.,   8.],
2025-06-01T21:26:38.2308870Z                       [  0.,   0.,   0.,   0.],
2025-06-01T21:26:38.2308920Z                       [  0.,  14.,   0.,  16.]]]])
2025-06-01T21:26:38.2309050Z             >>> # Now using output_size to resolve an ambiguous size for the inverse
2025-06-01T21:26:38.2309140Z             >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.,  5.],
2025-06-01T21:26:38.2309210Z                                         [ 6.,  7.,  8.,  9., 10.],
2025-06-01T21:26:38.2309280Z                                         [11., 12., 13., 14., 15.],
2025-06-01T21:26:38.2309370Z                                         [16., 17., 18., 19., 20.]]]])
2025-06-01T21:26:38.2309430Z             >>> output, indices = pool(input)
2025-06-01T21:26:38.2309540Z             >>> # This call will not work without specifying output_size
2025-06-01T21:26:38.2309630Z             >>> unpool(output, indices, output_size=input.size())
2025-06-01T21:26:38.2309690Z             tensor([[[[ 0.,  0.,  0.,  0.,  0.],
2025-06-01T21:26:38.2309740Z                       [ 0.,  7.,  0.,  9.,  0.],
2025-06-01T21:26:38.2309800Z                       [ 0.,  0.,  0.,  0.,  0.],
2025-06-01T21:26:38.2309890Z                       [ 0., 17.,  0., 19.,  0.]]]])
2025-06-01T21:26:38.2309950Z     
2025-06-01T21:26:38.2309990Z     
2025-06-01T21:26:38.2310030Z         
2025-06-01T21:26:38.2310180Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2310220Z     
2025-06-01T21:26:38.2310270Z       warnings.warn(msg)
2025-06-01T21:26:38.2310310Z     
2025-06-01T21:26:38.2310410Z --- Parse Warning: 38 / 118 ---
2025-06-01T21:26:38.2311160Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1700.
2025-06-01T21:26:38.2311330Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2311450Z     Creates a criterion that measures the triplet loss given input
2025-06-01T21:26:38.2311570Z         tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor,
2025-06-01T21:26:38.2311700Z         positive, and negative examples, respectively), and a nonnegative,
2025-06-01T21:26:38.2311840Z         real-valued function ("distance function") used to compute the relationship
2025-06-01T21:26:38.2311970Z         between the anchor and positive example ("positive distance") and the
2025-06-01T21:26:38.2312070Z         anchor and negative example ("negative distance").
2025-06-01T21:26:38.2312100Z     
2025-06-01T21:26:38.2312230Z         The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``)
2025-06-01T21:26:38.2312280Z         can be described as:
2025-06-01T21:26:38.2312320Z     
2025-06-01T21:26:38.2312360Z         .. math::
2025-06-01T21:26:38.2312440Z             \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad
2025-06-01T21:26:38.2312540Z             l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\}
2025-06-01T21:26:38.2312580Z     
2025-06-01T21:26:38.2312720Z         where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function
2025-06-01T21:26:38.2312900Z         quantifying the closeness of two tensors, referred to as the :attr:`distance_function`;
2025-06-01T21:26:38.2313040Z         and :math:`margin` is a nonnegative margin representing the minimum difference
2025-06-01T21:26:38.2313190Z         between the positive and negative distances that is required for the loss to
2025-06-01T21:26:38.2313320Z         be 0.  The input tensors have :math:`N` elements each and can be of any shape
2025-06-01T21:26:38.2313390Z         that the distance function can handle.
2025-06-01T21:26:38.2313430Z     
2025-06-01T21:26:38.2313490Z         If :attr:`reduction` is not ``'none'``
2025-06-01T21:26:38.2313550Z         (default ``'mean'``), then:
2025-06-01T21:26:38.2313580Z     
2025-06-01T21:26:38.2313630Z         .. math::
2025-06-01T21:26:38.2313670Z             \ell(x, y) =
2025-06-01T21:26:38.2313720Z             \begin{cases}
2025-06-01T21:26:38.2313840Z                 \operatorname{mean}(L), &  \text{if reduction} = \text{`mean';}\\
2025-06-01T21:26:38.2313960Z                 \operatorname{sum}(L),  &  \text{if reduction} = \text{`sum'.}
2025-06-01T21:26:38.2314000Z             \end{cases}
2025-06-01T21:26:38.2314040Z     
2025-06-01T21:26:38.2314180Z         See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet
2025-06-01T21:26:38.2314350Z         loss for input tensors using the :math:`l_p` distance as the distance function.
2025-06-01T21:26:38.2314390Z     
2025-06-01T21:26:38.2314430Z         Args:
2025-06-01T21:26:38.2314590Z             distance_function (Callable, optional): A nonnegative, real-valued function that
2025-06-01T21:26:38.2314710Z                 quantifies the closeness of two tensors. If not specified,
2025-06-01T21:26:38.2314810Z                 `nn.PairwiseDistance` will be used.  Default: ``None``
2025-06-01T21:26:38.2314990Z             margin (float, optional): A nonnegative margin representing the minimum difference
2025-06-01T21:26:38.2315170Z                 between the positive and negative distances required for the loss to be 0. Larger
2025-06-01T21:26:38.2315330Z                 margins penalize cases where the negative examples are not distant enough from the
2025-06-01T21:26:38.2315440Z                 anchors, relative to the positives. Default: :math:`1`.
2025-06-01T21:26:38.2315590Z             swap (bool, optional): Whether to use the distance swap described in the paper
2025-06-01T21:26:38.2315740Z                 `Learning shallow convolutional feature descriptors with triplet losses` by
2025-06-01T21:26:38.2315880Z                 V. Balntas, E. Riba et al. If True, and if the positive example is closer to the
2025-06-01T21:26:38.2316040Z                 negative example than the anchor is, swaps the positive example and the anchor in
2025-06-01T21:26:38.2316140Z                 the loss computation. Default: ``False``.
2025-06-01T21:26:38.2316310Z             reduction (str, optional): Specifies the (optional) reduction to apply to the output:
2025-06-01T21:26:38.2316430Z                 ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-06-01T21:26:38.2316540Z                 ``'mean'``: the sum of the output will be divided by the number of
2025-06-01T21:26:38.2316680Z                 elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'``
2025-06-01T21:26:38.2316720Z     
2025-06-01T21:26:38.2316760Z     
2025-06-01T21:26:38.2316800Z         Shape:
2025-06-01T21:26:38.2316940Z             - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions
2025-06-01T21:26:38.2317020Z               as supported by the distance function.
2025-06-01T21:26:38.2317170Z             - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar
2025-06-01T21:26:38.2317220Z               otherwise.
2025-06-01T21:26:38.2317260Z     
2025-06-01T21:26:38.2317300Z         Examples:
2025-06-01T21:26:38.2317340Z     
2025-06-01T21:26:38.2317400Z         >>> # Initialize embeddings
2025-06-01T21:26:38.2317470Z         >>> embedding = nn.Embedding(1000, 128)
2025-06-01T21:26:38.2317540Z         >>> anchor_ids = torch.randint(0, 1000, (1,))
2025-06-01T21:26:38.2317620Z         >>> positive_ids = torch.randint(0, 1000, (1,))
2025-06-01T21:26:38.2317690Z         >>> negative_ids = torch.randint(0, 1000, (1,))
2025-06-01T21:26:38.2317760Z         >>> anchor = embedding(anchor_ids)
2025-06-01T21:26:38.2317820Z         >>> positive = embedding(positive_ids)
2025-06-01T21:26:38.2317890Z         >>> negative = embedding(negative_ids)
2025-06-01T21:26:38.2317920Z         >>>
2025-06-01T21:26:38.2317980Z         >>> # Built-in Distance Function
2025-06-01T21:26:38.2318030Z         >>> triplet_loss = \
2025-06-01T21:26:38.2318200Z         >>>     nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance())
2025-06-01T21:26:38.2318290Z         >>> output = triplet_loss(anchor, positive, negative)
2025-06-01T21:26:38.2318340Z         >>> output.backward()
2025-06-01T21:26:38.2318380Z         >>>
2025-06-01T21:26:38.2318440Z         >>> # Custom Distance Function
2025-06-01T21:26:38.2318500Z         >>> def l_infinity(x1, x2):
2025-06-01T21:26:38.2318590Z         >>>     return torch.max(torch.abs(x1 - x2), dim=1).values
2025-06-01T21:26:38.2318630Z         >>>
2025-06-01T21:26:38.2318790Z         >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time")
2025-06-01T21:26:38.2318850Z         >>> triplet_loss = (
2025-06-01T21:26:38.2319010Z         >>>     nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5))
2025-06-01T21:26:38.2319100Z         >>> output = triplet_loss(anchor, positive, negative)
2025-06-01T21:26:38.2319150Z         >>> output.backward()
2025-06-01T21:26:38.2319190Z         >>>
2025-06-01T21:26:38.2319260Z         >>> # Custom Distance Function (Lambda)
2025-06-01T21:26:38.2319310Z         >>> triplet_loss = (
2025-06-01T21:26:38.2319400Z         >>>     nn.TripletMarginWithDistanceLoss(
2025-06-01T21:26:38.2319550Z         >>>         distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y)))
2025-06-01T21:26:38.2319640Z         >>> output = triplet_loss(anchor, positive, negative)
2025-06-01T21:26:38.2319700Z         >>> output.backward()
2025-06-01T21:26:38.2319730Z     
2025-06-01T21:26:38.2319780Z         Reference:
2025-06-01T21:26:38.2319960Z             V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses:
2025-06-01T21:26:38.2320090Z             https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html
2025-06-01T21:26:38.2320130Z         
2025-06-01T21:26:38.2320280Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17))
2025-06-01T21:26:38.2320320Z     
2025-06-01T21:26:38.2320370Z       warnings.warn(msg)
2025-06-01T21:26:38.2320400Z     
2025-06-01T21:26:38.2320520Z --- Parse Warning: 39 / 118 ---
2025-06-01T21:26:38.2321220Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=EmbeddingBag in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=270.
2025-06-01T21:26:38.2321380Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2321570Z     Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings.
2025-06-01T21:26:38.2321610Z     
2025-06-01T21:26:38.2321790Z         For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`,
2025-06-01T21:26:38.2321850Z         and with 2D inputs, this class
2025-06-01T21:26:38.2321890Z     
2025-06-01T21:26:38.2322080Z             * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``,
2025-06-01T21:26:38.2322260Z             * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``,
2025-06-01T21:26:38.2322440Z             * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``.
2025-06-01T21:26:38.2322480Z     
2025-06-01T21:26:38.2322680Z         However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these
2025-06-01T21:26:38.2322730Z         operations.
2025-06-01T21:26:38.2322770Z     
2025-06-01T21:26:38.2322920Z         EmbeddingBag also supports per-sample weights as an argument to the forward
2025-06-01T21:26:38.2323060Z         pass. This scales the output of the Embedding before performing a weighted
2025-06-01T21:26:38.2323210Z         reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the
2025-06-01T21:26:38.2323350Z         only supported ``mode`` is ``"sum"``, which computes a weighted sum according to
2025-06-01T21:26:38.2323410Z         :attr:`per_sample_weights`.
2025-06-01T21:26:38.2323450Z     
2025-06-01T21:26:38.2323490Z         Args:
2025-06-01T21:26:38.2323600Z             num_embeddings (int): size of the dictionary of embeddings
2025-06-01T21:26:38.2323700Z             embedding_dim (int): the size of each embedding vector
2025-06-01T21:26:38.2323880Z             max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm`
2025-06-01T21:26:38.2324000Z                                         is renormalized to have norm :attr:`max_norm`.
2025-06-01T21:26:38.2324200Z             norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``.
2025-06-01T21:26:38.2324400Z             scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of
2025-06-01T21:26:38.2324500Z                                                     the words in the mini-batch. Default ``False``.
2025-06-01T21:26:38.2324640Z                                                     Note: this option is not supported when ``mode="max"``.
2025-06-01T21:26:38.2324810Z             mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag.
2025-06-01T21:26:38.2324940Z                                      ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights`
2025-06-01T21:26:38.2325070Z                                      into consideration. ``"mean"`` computes the average of the values
2025-06-01T21:26:38.2325190Z                                      in the bag, ``"max"`` computes the max value over each bag.
2025-06-01T21:26:38.2325260Z                                      Default: ``"mean"``
2025-06-01T21:26:38.2325450Z             sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See
2025-06-01T21:26:38.2325630Z                                      Notes for more details regarding sparse gradients. Note: this option is not
2025-06-01T21:26:38.2325710Z                                      supported when ``mode="max"``.
2025-06-01T21:26:38.2325930Z             include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element
2025-06-01T21:26:38.2326070Z                                           is equivalent to the size of `indices`. This matches the CSR format.
2025-06-01T21:26:38.2326260Z             padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the
2025-06-01T21:26:38.2326430Z                                          gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated
2025-06-01T21:26:38.2326580Z                                          during training, i.e. it remains as a fixed "pad". For a newly constructed
2025-06-01T21:26:38.2326740Z                                          EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all
2025-06-01T21:26:38.2326890Z                                          zeros, but can be updated to another value to be used as the padding vector.
2025-06-01T21:26:38.2327040Z                                          Note that the embedding vector at :attr:`padding_idx` is excluded from the
2025-06-01T21:26:38.2327100Z                                          reduction.
2025-06-01T21:26:38.2327140Z     
2025-06-01T21:26:38.2327180Z         Attributes:
2025-06-01T21:26:38.2327370Z             weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)`
2025-06-01T21:26:38.2327460Z                              initialized from :math:`\mathcal{N}(0, 1)`.
2025-06-01T21:26:38.2327500Z     
2025-06-01T21:26:38.2327550Z         Examples::
2025-06-01T21:26:38.2327590Z     
2025-06-01T21:26:38.2327690Z             >>> # an EmbeddingBag module containing 10 tensors of size 3
2025-06-01T21:26:38.2327780Z             >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum')
2025-06-01T21:26:38.2327900Z             >>> # a batch of 2 samples of 4 indices each
2025-06-01T21:26:38.2328020Z             >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long)
2025-06-01T21:26:38.2328110Z             >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-06-01T21:26:38.2328190Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-06-01T21:26:38.2328260Z             >>> embedding_sum(input, offsets)
2025-06-01T21:26:38.2328320Z             tensor([[-0.8861, -5.4350, -0.0523],
2025-06-01T21:26:38.2328410Z                     [ 1.1306, -2.5798, -1.0044]])
2025-06-01T21:26:38.2328450Z     
2025-06-01T21:26:38.2328510Z             >>> # Example with padding_idx
2025-06-01T21:26:38.2328630Z             >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2)
2025-06-01T21:26:38.2328740Z             >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long)
2025-06-01T21:26:38.2328830Z             >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-06-01T21:26:38.2328890Z             >>> embedding_sum(input, offsets)
2025-06-01T21:26:38.2328950Z             tensor([[ 0.0000,  0.0000,  0.0000],
2025-06-01T21:26:38.2329040Z                     [-0.7082,  3.2145, -2.6251]])
2025-06-01T21:26:38.2329100Z     
2025-06-01T21:26:38.2329210Z             >>> # An EmbeddingBag can be loaded from an Embedding like so
2025-06-01T21:26:38.2329300Z             >>> embedding = nn.Embedding(10, 3, padding_idx=2)
2025-06-01T21:26:38.2329390Z             >>> embedding_sum = nn.EmbeddingBag.from_pretrained(
2025-06-01T21:26:38.2329450Z                     embedding.weight,
2025-06-01T21:26:38.2329520Z                     padding_idx=embedding.padding_idx,
2025-06-01T21:26:38.2329570Z                     mode='sum')
2025-06-01T21:26:38.2329610Z         
2025-06-01T21:26:38.2329760Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2329790Z     
2025-06-01T21:26:38.2329840Z       warnings.warn(msg)
2025-06-01T21:26:38.2329880Z     
2025-06-01T21:26:38.2330000Z --- Parse Warning: 40 / 118 ---
2025-06-01T21:26:38.2330750Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=batch_isend_irecv in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2665.
2025-06-01T21:26:38.2330910Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2330940Z     
2025-06-01T21:26:38.2331090Z     Send or Receive a batch of tensors asynchronously and return a list of requests.
2025-06-01T21:26:38.2331130Z     
2025-06-01T21:26:38.2331280Z     Process each of the operations in ``p2p_op_list`` and return the corresponding
2025-06-01T21:26:38.2331390Z     requests. NCCL, Gloo, and UCC backend are currently supported.
2025-06-01T21:26:38.2331430Z     
2025-06-01T21:26:38.2331470Z     Args:
2025-06-01T21:26:38.2331610Z         p2p_op_list: A list of point-to-point operations(type of each operator is
2025-06-01T21:26:38.2331750Z             ``torch.distributed.P2POp``). The order of the isend/irecv in the list
2025-06-01T21:26:38.2331870Z             matters and it needs to match with corresponding isend/irecv on the
2025-06-01T21:26:38.2331920Z             remote end.
2025-06-01T21:26:38.2331950Z     
2025-06-01T21:26:38.2332000Z     Returns:
2025-06-01T21:26:38.2332140Z         A list of distributed request objects returned by calling the corresponding
2025-06-01T21:26:38.2332190Z         op in the op_list.
2025-06-01T21:26:38.2332230Z     
2025-06-01T21:26:38.2332270Z     Examples:
2025-06-01T21:26:38.2332330Z         >>> # xdoctest: +SKIP("no rank")
2025-06-01T21:26:38.2332440Z         >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank
2025-06-01T21:26:38.2332530Z         >>> recv_tensor = torch.randn(2, dtype=torch.float32)
2025-06-01T21:26:38.2332660Z         >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size)
2025-06-01T21:26:38.2332720Z         >>> recv_op = dist.P2POp(
2025-06-01T21:26:38.2332830Z         ...     dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size
2025-06-01T21:26:38.2332870Z         ... )
2025-06-01T21:26:38.2332950Z         >>> reqs = batch_isend_irecv([send_op, recv_op])
2025-06-01T21:26:38.2333000Z         >>> for req in reqs:
2025-06-01T21:26:38.2333050Z         >>>     req.wait()
2025-06-01T21:26:38.2333090Z         >>> recv_tensor
2025-06-01T21:26:38.2333160Z         tensor([2, 3])     # Rank 0
2025-06-01T21:26:38.2333220Z         tensor([0, 1])     # Rank 1
2025-06-01T21:26:38.2333250Z     
2025-06-01T21:26:38.2333400Z     .. note:: Note that when this API is used with the NCCL PG backend, users must set
2025-06-01T21:26:38.2333530Z         the current GPU device with `torch.cuda.set_device`, otherwise it will
2025-06-01T21:26:38.2333590Z         lead to unexpected hang issues.
2025-06-01T21:26:38.2333630Z     
2025-06-01T21:26:38.2333760Z         In addition, if this API is the first collective call in the ``group``
2025-06-01T21:26:38.2333910Z         passed to ``dist.P2POp``, all ranks of the ``group`` must participate in
2025-06-01T21:26:38.2334060Z         this API call; otherwise, the behavior is undefined. If this API call is
2025-06-01T21:26:38.2334190Z         not the first collective call in the ``group``, batched P2P operations
2025-06-01T21:26:38.2334300Z         involving only a subset of ranks of the ``group`` are allowed.
2025-06-01T21:26:38.2334350Z     
2025-06-01T21:26:38.2334490Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2334530Z     
2025-06-01T21:26:38.2334580Z       warnings.warn(msg)
2025-06-01T21:26:38.2334620Z     
2025-06-01T21:26:38.2334710Z --- Parse Warning: 41 / 118 ---
2025-06-01T21:26:38.2335450Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_reduce in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2795.
2025-06-01T21:26:38.2335610Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2335650Z     
2025-06-01T21:26:38.2335810Z     Reduces the tensor data across all machines in a way that all get the final result.
2025-06-01T21:26:38.2335850Z     
2025-06-01T21:26:38.2335980Z     After the call ``tensor`` is going to be bitwise identical in all processes.
2025-06-01T21:26:38.2336020Z     
2025-06-01T21:26:38.2336080Z     Complex tensors are supported.
2025-06-01T21:26:38.2336120Z     
2025-06-01T21:26:38.2336160Z     Args:
2025-06-01T21:26:38.2336280Z         tensor (Tensor): Input and output of the collective. The function
2025-06-01T21:26:38.2336330Z             operates in-place.
2025-06-01T21:26:38.2336400Z         op (optional): One of the values from
2025-06-01T21:26:38.2336470Z             ``torch.distributed.ReduceOp``
2025-06-01T21:26:38.2336590Z             enum.  Specifies an operation used for element-wise reductions.
2025-06-01T21:26:38.2336730Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-06-01T21:26:38.2336800Z             the default process group will be used.
2025-06-01T21:26:38.2336920Z         async_op (bool, optional): Whether this op should be an async op
2025-06-01T21:26:38.2336950Z     
2025-06-01T21:26:38.2337000Z     Returns:
2025-06-01T21:26:38.2337080Z         Async work handle, if async_op is set to True.
2025-06-01T21:26:38.2337160Z         None, if not async_op or if not part of the group
2025-06-01T21:26:38.2337200Z     
2025-06-01T21:26:38.2337240Z     Examples:
2025-06-01T21:26:38.2337300Z         >>> # xdoctest: +SKIP("no rank")
2025-06-01T21:26:38.2337380Z         >>> # All tensors below are of torch.int64 type.
2025-06-01T21:26:38.2337440Z         >>> # We have 2 process groups, 2 ranks.
2025-06-01T21:26:38.2337510Z         >>> device = torch.device(f"cuda:{rank}")
2025-06-01T21:26:38.2337650Z         >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-06-01T21:26:38.2337690Z         >>> tensor
2025-06-01T21:26:38.2337760Z         tensor([1, 2], device='cuda:0') # Rank 0
2025-06-01T21:26:38.2337820Z         tensor([3, 4], device='cuda:1') # Rank 1
2025-06-01T21:26:38.2337900Z         >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-06-01T21:26:38.2337940Z         >>> tensor
2025-06-01T21:26:38.2338060Z         tensor([4, 6], device='cuda:0') # Rank 0
2025-06-01T21:26:38.2338120Z         tensor([4, 6], device='cuda:1') # Rank 1
2025-06-01T21:26:38.2338160Z     
2025-06-01T21:26:38.2338240Z         >>> # All tensors below are of torch.cfloat type.
2025-06-01T21:26:38.2338310Z         >>> # We have 2 process groups, 2 ranks.
2025-06-01T21:26:38.2338370Z         >>> tensor = torch.tensor(
2025-06-01T21:26:38.2338460Z         ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-06-01T21:26:38.2338510Z         ... ) + 2 * rank * (1 + 1j)
2025-06-01T21:26:38.2338550Z         >>> tensor
2025-06-01T21:26:38.2338650Z         tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-06-01T21:26:38.2338750Z         tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-06-01T21:26:38.2338830Z         >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-06-01T21:26:38.2338870Z         >>> tensor
2025-06-01T21:26:38.2338950Z         tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0
2025-06-01T21:26:38.2339030Z         tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1
2025-06-01T21:26:38.2339060Z     
2025-06-01T21:26:38.2339100Z     
2025-06-01T21:26:38.2339250Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2339290Z     
2025-06-01T21:26:38.2339340Z       warnings.warn(msg)
2025-06-01T21:26:38.2339380Z     
2025-06-01T21:26:38.2339480Z --- Parse Warning: 42 / 118 ---
2025-06-01T21:26:38.2340220Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=gather_object in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3155.
2025-06-01T21:26:38.2340380Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2340420Z     
2025-06-01T21:26:38.2340550Z     Gathers picklable objects from the whole group in a single process.
2025-06-01T21:26:38.2340590Z     
2025-06-01T21:26:38.2340720Z     Similar to :func:`gather`, but Python objects can be passed in. Note that the
2025-06-01T21:26:38.2340810Z     object must be picklable in order to be gathered.
2025-06-01T21:26:38.2340850Z     
2025-06-01T21:26:38.2340890Z     Args:
2025-06-01T21:26:38.2340970Z         obj (Any): Input object. Must be picklable.
2025-06-01T21:26:38.2341090Z         object_gather_list (list[Any]): Output list. On the ``dst`` rank, it
2025-06-01T21:26:38.2341200Z             should be correctly sized as the size of the group for this
2025-06-01T21:26:38.2341330Z             collective and will contain the output. Must be ``None`` on non-dst
2025-06-01T21:26:38.2341390Z             ranks. (default is ``None``)
2025-06-01T21:26:38.2341580Z         dst (int, optional): Destination rank on global process group (regardless of ``group`` argument).
2025-06-01T21:26:38.2341700Z             (If both ``dst`` and ``group_dst`` are None, default is global rank 0)
2025-06-01T21:26:38.2341840Z         group: (ProcessGroup, optional): The process group to work on. If None,
2025-06-01T21:26:38.2341950Z             the default process group will be used. Default is ``None``.
2025-06-01T21:26:38.2342160Z         group_dst (int, optional): Destination rank on ``group``.  Invalid to specify both ``dst`` and ``group_dst``
2025-06-01T21:26:38.2342200Z     
2025-06-01T21:26:38.2342240Z     Returns:
2025-06-01T21:26:38.2342350Z         None. On the ``dst`` rank, ``object_gather_list`` will contain the
2025-06-01T21:26:38.2342400Z         output of the collective.
2025-06-01T21:26:38.2342440Z     
2025-06-01T21:26:38.2342570Z     .. note:: Note that this API differs slightly from the gather collective
2025-06-01T21:26:38.2342700Z         since it does not provide an async_op handle and thus will be a blocking
2025-06-01T21:26:38.2342740Z         call.
2025-06-01T21:26:38.2345490Z     
2025-06-01T21:26:38.2345640Z     .. note:: For NCCL-based processed groups, internal tensor representations
2025-06-01T21:26:38.2345860Z         of objects must be moved to the GPU device before communication takes
2025-06-01T21:26:38.2345940Z         place. In this case, the device used is given by
2025-06-01T21:26:38.2346070Z         ``torch.cuda.current_device()`` and it is the user's responsiblity to
2025-06-01T21:26:38.2346190Z         ensure that this is set so that each rank has an individual GPU, via
2025-06-01T21:26:38.2346250Z         ``torch.cuda.set_device()``.
2025-06-01T21:26:38.2346290Z     
2025-06-01T21:26:38.2346330Z     .. warning::
2025-06-01T21:26:38.2346490Z         Object collectives have a number of serious performance and scalability
2025-06-01T21:26:38.2346610Z         limitations.  See :ref:`object_collectives` for details.
2025-06-01T21:26:38.2346650Z     
2025-06-01T21:26:38.2346690Z     .. warning::
2025-06-01T21:26:38.2346810Z         :func:`gather_object` uses ``pickle`` module implicitly, which is
2025-06-01T21:26:38.2346940Z         known to be insecure. It is possible to construct malicious pickle data
2025-06-01T21:26:38.2347070Z         which will execute arbitrary code during unpickling. Only call this
2025-06-01T21:26:38.2347130Z         function with data you trust.
2025-06-01T21:26:38.2347170Z     
2025-06-01T21:26:38.2347210Z     .. warning::
2025-06-01T21:26:38.2347340Z         Calling :func:`gather_object` with GPU tensors is not well supported
2025-06-01T21:26:38.2347500Z         and inefficient as it incurs GPU -> CPU transfer since tensors would be
2025-06-01T21:26:38.2347610Z         pickled. Please consider using :func:`gather` instead.
2025-06-01T21:26:38.2347640Z     
2025-06-01T21:26:38.2347690Z     Example::
2025-06-01T21:26:38.2347770Z         >>> # xdoctest: +SKIP("need process group init")
2025-06-01T21:26:38.2347880Z         >>> # Note: Process group initialization omitted on each rank.
2025-06-01T21:26:38.2347950Z         >>> import torch.distributed as dist
2025-06-01T21:26:38.2348000Z         >>> # Assumes world_size of 3.
2025-06-01T21:26:38.2348110Z         >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object
2025-06-01T21:26:38.2348180Z         >>> output = [None for _ in gather_objects]
2025-06-01T21:26:38.2348230Z         >>> dist.gather_object(
2025-06-01T21:26:38.2348300Z         ...     gather_objects[dist.get_rank()],
2025-06-01T21:26:38.2348380Z         ...     output if dist.get_rank() == 0 else None,
2025-06-01T21:26:38.2348420Z         ...     dst=0
2025-06-01T21:26:38.2348460Z         ... )
2025-06-01T21:26:38.2348510Z         >>> # On rank 0
2025-06-01T21:26:38.2348550Z         >>> output
2025-06-01T21:26:38.2348600Z         ['foo', 12, {1: 2}]
2025-06-01T21:26:38.2348630Z     
2025-06-01T21:26:38.2348790Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2348820Z     
2025-06-01T21:26:38.2348870Z       warnings.warn(msg)
2025-06-01T21:26:38.2348910Z     
2025-06-01T21:26:38.2349030Z --- Parse Warning: 43 / 118 ---
2025-06-01T21:26:38.2349750Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_gather in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3751.
2025-06-01T21:26:38.2349910Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2349940Z     
2025-06-01T21:26:38.2350030Z     Gathers tensors from the whole group in a list.
2025-06-01T21:26:38.2350060Z     
2025-06-01T21:26:38.2350140Z     Complex and uneven sized tensors are supported.
2025-06-01T21:26:38.2350180Z     
2025-06-01T21:26:38.2350220Z     Args:
2025-06-01T21:26:38.2350330Z         tensor_list (list[Tensor]): Output list. It should contain
2025-06-01T21:26:38.2350460Z             correctly-sized tensors to be used for output of the collective.
2025-06-01T21:26:38.2350530Z             Uneven sized tensors are supported.
2025-06-01T21:26:38.2350670Z         tensor (Tensor): Tensor to be broadcast from current process.
2025-06-01T21:26:38.2350800Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-06-01T21:26:38.2350870Z             the default process group will be used.
2025-06-01T21:26:38.2350990Z         async_op (bool, optional): Whether this op should be an async op
2025-06-01T21:26:38.2351030Z     
2025-06-01T21:26:38.2351070Z     Returns:
2025-06-01T21:26:38.2351150Z         Async work handle, if async_op is set to True.
2025-06-01T21:26:38.2351240Z         None, if not async_op or if not part of the group
2025-06-01T21:26:38.2351310Z     
2025-06-01T21:26:38.2351380Z     Examples:
2025-06-01T21:26:38.2351450Z         >>> # xdoctest: +SKIP("need process group init")
2025-06-01T21:26:38.2351530Z         >>> # All tensors below are of torch.int64 dtype.
2025-06-01T21:26:38.2351600Z         >>> # We have 2 process groups, 2 ranks.
2025-06-01T21:26:38.2351670Z         >>> device = torch.device(f"cuda:{rank}")
2025-06-01T21:26:38.2351720Z         >>> tensor_list = [
2025-06-01T21:26:38.2351840Z         ...     torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2)
2025-06-01T21:26:38.2351880Z         ... ]
2025-06-01T21:26:38.2351930Z         >>> tensor_list
2025-06-01T21:26:38.2352050Z         [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0
2025-06-01T21:26:38.2352170Z         [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1
2025-06-01T21:26:38.2352330Z         >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-06-01T21:26:38.2352370Z         >>> tensor
2025-06-01T21:26:38.2352440Z         tensor([1, 2], device='cuda:0') # Rank 0
2025-06-01T21:26:38.2352500Z         tensor([3, 4], device='cuda:1') # Rank 1
2025-06-01T21:26:38.2352570Z         >>> dist.all_gather(tensor_list, tensor)
2025-06-01T21:26:38.2352610Z         >>> tensor_list
2025-06-01T21:26:38.2352730Z         [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0
2025-06-01T21:26:38.2352850Z         [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1
2025-06-01T21:26:38.2352890Z     
2025-06-01T21:26:38.2352970Z         >>> # All tensors below are of torch.cfloat dtype.
2025-06-01T21:26:38.2353040Z         >>> # We have 2 process groups, 2 ranks.
2025-06-01T21:26:38.2353090Z         >>> tensor_list = [
2025-06-01T21:26:38.2353210Z         ...     torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2)
2025-06-01T21:26:38.2353250Z         ... ]
2025-06-01T21:26:38.2353300Z         >>> tensor_list
2025-06-01T21:26:38.2353450Z         [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0
2025-06-01T21:26:38.2353600Z         [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1
2025-06-01T21:26:38.2353660Z         >>> tensor = torch.tensor(
2025-06-01T21:26:38.2353750Z         ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-06-01T21:26:38.2353800Z         ... ) + 2 * rank * (1 + 1j)
2025-06-01T21:26:38.2353840Z         >>> tensor
2025-06-01T21:26:38.2353920Z         tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-06-01T21:26:38.2354000Z         tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-06-01T21:26:38.2354070Z         >>> dist.all_gather(tensor_list, tensor)
2025-06-01T21:26:38.2354110Z         >>> tensor_list
2025-06-01T21:26:38.2354250Z         [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0
2025-06-01T21:26:38.2354400Z         [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1
2025-06-01T21:26:38.2354440Z     
2025-06-01T21:26:38.2354480Z     
2025-06-01T21:26:38.2354620Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2354660Z     
2025-06-01T21:26:38.2354710Z       warnings.warn(msg)
2025-06-01T21:26:38.2354770Z     
2025-06-01T21:26:38.2354870Z --- Parse Warning: 44 / 118 ---
2025-06-01T21:26:38.2355600Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all_single in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4457.
2025-06-01T21:26:38.2355760Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2355800Z     
2025-06-01T21:26:38.2355970Z     Split input tensor and then scatter the split list to all processes in a group.
2025-06-01T21:26:38.2356030Z     
2025-06-01T21:26:38.2356180Z     Later the received tensors are concatenated from all the processes in the group
2025-06-01T21:26:38.2356240Z     and returned as a single output tensor.
2025-06-01T21:26:38.2356280Z     
2025-06-01T21:26:38.2356340Z     Complex tensors are supported.
2025-06-01T21:26:38.2356380Z     
2025-06-01T21:26:38.2356420Z     Args:
2025-06-01T21:26:38.2356520Z         output (Tensor): Gathered concatenated output tensor.
2025-06-01T21:26:38.2356590Z         input (Tensor): Input tensor to scatter.
2025-06-01T21:26:38.2356720Z         output_split_sizes: (list[Int], optional): Output split sizes for dim 0
2025-06-01T21:26:38.2356840Z             if specified None or empty, dim 0 of ``output`` tensor must divide
2025-06-01T21:26:38.2356900Z             equally by ``world_size``.
2025-06-01T21:26:38.2357050Z         input_split_sizes: (list[Int], optional): Input split sizes for dim 0
2025-06-01T21:26:38.2357180Z             if specified None or empty, dim 0 of ``input`` tensor must divide
2025-06-01T21:26:38.2357230Z             equally by ``world_size``.
2025-06-01T21:26:38.2357370Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-06-01T21:26:38.2357440Z             the default process group will be used.
2025-06-01T21:26:38.2357560Z         async_op (bool, optional): Whether this op should be an async op.
2025-06-01T21:26:38.2357600Z     
2025-06-01T21:26:38.2357640Z     Returns:
2025-06-01T21:26:38.2357720Z         Async work handle, if async_op is set to True.
2025-06-01T21:26:38.2357810Z         None, if not async_op or if not part of the group.
2025-06-01T21:26:38.2357840Z     
2025-06-01T21:26:38.2357890Z     .. warning::
2025-06-01T21:26:38.2357990Z         `all_to_all_single` is experimental and subject to change.
2025-06-01T21:26:38.2358030Z     
2025-06-01T21:26:38.2358070Z     Examples:
2025-06-01T21:26:38.2358140Z         >>> # xdoctest: +SKIP("Undefined rank")
2025-06-01T21:26:38.2358200Z         >>> input = torch.arange(4) + rank * 4
2025-06-01T21:26:38.2358250Z         >>> input
2025-06-01T21:26:38.2358300Z         tensor([0, 1, 2, 3])     # Rank 0
2025-06-01T21:26:38.2358360Z         tensor([4, 5, 6, 7])     # Rank 1
2025-06-01T21:26:38.2358410Z         tensor([8, 9, 10, 11])   # Rank 2
2025-06-01T21:26:38.2358460Z         tensor([12, 13, 14, 15]) # Rank 3
2025-06-01T21:26:38.2358540Z         >>> output = torch.empty([4], dtype=torch.int64)
2025-06-01T21:26:38.2358620Z         >>> dist.all_to_all_single(output, input)
2025-06-01T21:26:38.2358660Z         >>> output
2025-06-01T21:26:38.2358710Z         tensor([0, 4, 8, 12])    # Rank 0
2025-06-01T21:26:38.2358760Z         tensor([1, 5, 9, 13])    # Rank 1
2025-06-01T21:26:38.2358810Z         tensor([2, 6, 10, 14])   # Rank 2
2025-06-01T21:26:38.2358860Z         tensor([3, 7, 11, 15])   # Rank 3
2025-06-01T21:26:38.2358900Z     
2025-06-01T21:26:38.2359000Z         >>> # Essentially, it is similar to following operation:
2025-06-01T21:26:38.2359080Z         >>> scatter_list = list(input.chunk(world_size))
2025-06-01T21:26:38.2359160Z         >>> gather_list = list(output.chunk(world_size))
2025-06-01T21:26:38.2359220Z         >>> for i in range(world_size):
2025-06-01T21:26:38.2359360Z         >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i)
2025-06-01T21:26:38.2359450Z     
2025-06-01T21:26:38.2359520Z         >>> # Another example with uneven split
2025-06-01T21:26:38.2359560Z         >>> input
2025-06-01T21:26:38.2359660Z         tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-06-01T21:26:38.2359760Z         tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-06-01T21:26:38.2359850Z         tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-06-01T21:26:38.2359950Z         tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-06-01T21:26:38.2359990Z         >>> input_splits
2025-06-01T21:26:38.2360090Z         [2, 2, 1, 1]                                                     # Rank 0
2025-06-01T21:26:38.2360190Z         [3, 2, 2, 2]                                                     # Rank 1
2025-06-01T21:26:38.2360260Z         [2, 1, 1, 1]                                                     # Rank 2
2025-06-01T21:26:38.2360340Z         [2, 2, 2, 1]                                                     # Rank 3
2025-06-01T21:26:38.2360390Z         >>> output_splits
2025-06-01T21:26:38.2360470Z         [2, 3, 2, 2]                                                     # Rank 0
2025-06-01T21:26:38.2360540Z         [2, 2, 1, 2]                                                     # Rank 1
2025-06-01T21:26:38.2360610Z         [1, 2, 1, 2]                                                     # Rank 2
2025-06-01T21:26:38.2360700Z         [1, 2, 1, 1]                                                     # Rank 3
2025-06-01T21:26:38.2360750Z         >>> output = ...
2025-06-01T21:26:38.2360870Z         >>> dist.all_to_all_single(output, input, output_splits, input_splits)
2025-06-01T21:26:38.2360920Z         >>> output
2025-06-01T21:26:38.2361010Z         tensor([ 0,  1, 10, 11, 12, 20, 21, 30, 31])                     # Rank 0
2025-06-01T21:26:38.2361110Z         tensor([ 2,  3, 13, 14, 22, 32, 33])                             # Rank 1
2025-06-01T21:26:38.2361200Z         tensor([ 4, 15, 16, 23, 34, 35])                                 # Rank 2
2025-06-01T21:26:38.2361290Z         tensor([ 5, 17, 18, 24, 36])                                     # Rank 3
2025-06-01T21:26:38.2361330Z     
2025-06-01T21:26:38.2361370Z     
2025-06-01T21:26:38.2361460Z         >>> # Another example with tensors of torch.cfloat type.
2025-06-01T21:26:38.2361520Z         >>> input = torch.tensor(
2025-06-01T21:26:38.2361600Z         ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-06-01T21:26:38.2361660Z         ... ) + 4 * rank * (1 + 1j)
2025-06-01T21:26:38.2361700Z         >>> input
2025-06-01T21:26:38.2361810Z         tensor([1+1j, 2+2j, 3+3j, 4+4j])                                # Rank 0
2025-06-01T21:26:38.2361910Z         tensor([5+5j, 6+6j, 7+7j, 8+8j])                                # Rank 1
2025-06-01T21:26:38.2362020Z         tensor([9+9j, 10+10j, 11+11j, 12+12j])                          # Rank 2
2025-06-01T21:26:38.2362130Z         tensor([13+13j, 14+14j, 15+15j, 16+16j])                        # Rank 3
2025-06-01T21:26:38.2362210Z         >>> output = torch.empty([4], dtype=torch.int64)
2025-06-01T21:26:38.2362280Z         >>> dist.all_to_all_single(output, input)
2025-06-01T21:26:38.2362320Z         >>> output
2025-06-01T21:26:38.2362420Z         tensor([1+1j, 5+5j, 9+9j, 13+13j])                              # Rank 0
2025-06-01T21:26:38.2362530Z         tensor([2+2j, 6+6j, 10+10j, 14+14j])                            # Rank 1
2025-06-01T21:26:38.2362630Z         tensor([3+3j, 7+7j, 11+11j, 15+15j])                            # Rank 2
2025-06-01T21:26:38.2362730Z         tensor([4+4j, 8+8j, 12+12j, 16+16j])                            # Rank 3
2025-06-01T21:26:38.2362770Z     
2025-06-01T21:26:38.2362920Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2362950Z     
2025-06-01T21:26:38.2363000Z       warnings.warn(msg)
2025-06-01T21:26:38.2363040Z     
2025-06-01T21:26:38.2363140Z --- Parse Warning: 45 / 118 ---
2025-06-01T21:26:38.2363880Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4599.
2025-06-01T21:26:38.2364040Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2364080Z     
2025-06-01T21:26:38.2364290Z     Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list.
2025-06-01T21:26:38.2364350Z     
2025-06-01T21:26:38.2364430Z     Complex tensors are supported.
2025-06-01T21:26:38.2364470Z     
2025-06-01T21:26:38.2364510Z     Args:
2025-06-01T21:26:38.2364640Z         output_tensor_list (list[Tensor]): List of tensors to be gathered one
2025-06-01T21:26:38.2364680Z             per rank.
2025-06-01T21:26:38.2364820Z         input_tensor_list (list[Tensor]): List of tensors to scatter one per rank.
2025-06-01T21:26:38.2364950Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-06-01T21:26:38.2365020Z             the default process group will be used.
2025-06-01T21:26:38.2365140Z         async_op (bool, optional): Whether this op should be an async op.
2025-06-01T21:26:38.2365180Z     
2025-06-01T21:26:38.2365220Z     Returns:
2025-06-01T21:26:38.2365300Z         Async work handle, if async_op is set to True.
2025-06-01T21:26:38.2365420Z         None, if not async_op or if not part of the group.
2025-06-01T21:26:38.2365460Z     
2025-06-01T21:26:38.2365510Z     .. warning::
2025-06-01T21:26:38.2365600Z         `all_to_all` is experimental and subject to change.
2025-06-01T21:26:38.2365630Z     
2025-06-01T21:26:38.2365670Z     Examples:
2025-06-01T21:26:38.2365740Z         >>> # xdoctest: +SKIP("Undefined rank")
2025-06-01T21:26:38.2365810Z         >>> input = torch.arange(4) + rank * 4
2025-06-01T21:26:38.2365870Z         >>> input = list(input.chunk(4))
2025-06-01T21:26:38.2365910Z         >>> input
2025-06-01T21:26:38.2366010Z         [tensor([0]), tensor([1]), tensor([2]), tensor([3])]     # Rank 0
2025-06-01T21:26:38.2366110Z         [tensor([4]), tensor([5]), tensor([6]), tensor([7])]     # Rank 1
2025-06-01T21:26:38.2366210Z         [tensor([8]), tensor([9]), tensor([10]), tensor([11])]   # Rank 2
2025-06-01T21:26:38.2366310Z         [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3
2025-06-01T21:26:38.2366420Z         >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-06-01T21:26:38.2366490Z         >>> dist.all_to_all(output, input)
2025-06-01T21:26:38.2366530Z         >>> output
2025-06-01T21:26:38.2366630Z         [tensor([0]), tensor([4]), tensor([8]), tensor([12])]    # Rank 0
2025-06-01T21:26:38.2366720Z         [tensor([1]), tensor([5]), tensor([9]), tensor([13])]    # Rank 1
2025-06-01T21:26:38.2366820Z         [tensor([2]), tensor([6]), tensor([10]), tensor([14])]   # Rank 2
2025-06-01T21:26:38.2366920Z         [tensor([3]), tensor([7]), tensor([11]), tensor([15])]   # Rank 3
2025-06-01T21:26:38.2366960Z     
2025-06-01T21:26:38.2367060Z         >>> # Essentially, it is similar to following operation:
2025-06-01T21:26:38.2367110Z         >>> scatter_list = input
2025-06-01T21:26:38.2367160Z         >>> gather_list = output
2025-06-01T21:26:38.2367220Z         >>> for i in range(world_size):
2025-06-01T21:26:38.2367350Z         >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i)
2025-06-01T21:26:38.2367390Z     
2025-06-01T21:26:38.2367440Z         >>> input
2025-06-01T21:26:38.2367530Z         tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-06-01T21:26:38.2367630Z         tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-06-01T21:26:38.2367720Z         tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-06-01T21:26:38.2367810Z         tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-06-01T21:26:38.2367880Z         >>> input_splits
2025-06-01T21:26:38.2367960Z         [2, 2, 1, 1]                                                     # Rank 0
2025-06-01T21:26:38.2368040Z         [3, 2, 2, 2]                                                     # Rank 1
2025-06-01T21:26:38.2368110Z         [2, 1, 1, 1]                                                     # Rank 2
2025-06-01T21:26:38.2368180Z         [2, 2, 2, 1]                                                     # Rank 3
2025-06-01T21:26:38.2368230Z         >>> output_splits
2025-06-01T21:26:38.2368330Z         [2, 3, 2, 2]                                                     # Rank 0
2025-06-01T21:26:38.2368430Z         [2, 2, 1, 2]                                                     # Rank 1
2025-06-01T21:26:38.2368510Z         [1, 2, 1, 2]                                                     # Rank 2
2025-06-01T21:26:38.2368580Z         [1, 2, 1, 1]                                                     # Rank 3
2025-06-01T21:26:38.2368660Z         >>> input = list(input.split(input_splits))
2025-06-01T21:26:38.2368700Z         >>> input
2025-06-01T21:26:38.2368830Z         [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])]                   # Rank 0
2025-06-01T21:26:38.2368950Z         [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1
2025-06-01T21:26:38.2369090Z         [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])]                 # Rank 2
2025-06-01T21:26:38.2369210Z         [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])]         # Rank 3
2025-06-01T21:26:38.2369260Z         >>> output = ...
2025-06-01T21:26:38.2369330Z         >>> dist.all_to_all(output, input)
2025-06-01T21:26:38.2369370Z         >>> output
2025-06-01T21:26:38.2369490Z         [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])]   # Rank 0
2025-06-01T21:26:38.2369610Z         [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])]           # Rank 1
2025-06-01T21:26:38.2369730Z         [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])]              # Rank 2
2025-06-01T21:26:38.2369850Z         [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])]                  # Rank 3
2025-06-01T21:26:38.2369890Z     
2025-06-01T21:26:38.2369990Z         >>> # Another example with tensors of torch.cfloat type.
2025-06-01T21:26:38.2370040Z         >>> input = torch.tensor(
2025-06-01T21:26:38.2370130Z         ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-06-01T21:26:38.2370180Z         ... ) + 4 * rank * (1 + 1j)
2025-06-01T21:26:38.2370240Z         >>> input = list(input.chunk(4))
2025-06-01T21:26:38.2370280Z         >>> input
2025-06-01T21:26:38.2370410Z         [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])]            # Rank 0
2025-06-01T21:26:38.2370530Z         [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])]            # Rank 1
2025-06-01T21:26:38.2370660Z         [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])]      # Rank 2
2025-06-01T21:26:38.2370790Z         [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])]    # Rank 3
2025-06-01T21:26:38.2370900Z         >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-06-01T21:26:38.2370970Z         >>> dist.all_to_all(output, input)
2025-06-01T21:26:38.2371010Z         >>> output
2025-06-01T21:26:38.2371130Z         [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])]          # Rank 0
2025-06-01T21:26:38.2371260Z         [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])]        # Rank 1
2025-06-01T21:26:38.2371380Z         [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])]        # Rank 2
2025-06-01T21:26:38.2371510Z         [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])]        # Rank 3
2025-06-01T21:26:38.2371550Z     
2025-06-01T21:26:38.2371580Z     
2025-06-01T21:26:38.2371760Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2371800Z     
2025-06-01T21:26:38.2371840Z       warnings.warn(msg)
2025-06-01T21:26:38.2371880Z     
2025-06-01T21:26:38.2371980Z --- Parse Warning: 46 / 118 ---
2025-06-01T21:26:38.2372660Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=__doc__ in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/launch.py line=2.
2025-06-01T21:26:38.2372830Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2372900Z     
2025-06-01T21:26:38.2372960Z     Module ``torch.distributed.launch``.
2025-06-01T21:26:38.2373000Z     
2025-06-01T21:26:38.2373150Z     ``torch.distributed.launch`` is a module that spawns up multiple distributed
2025-06-01T21:26:38.2373230Z     training processes on each of the training nodes.
2025-06-01T21:26:38.2373270Z     
2025-06-01T21:26:38.2373320Z     .. warning::
2025-06-01T21:26:38.2373360Z     
2025-06-01T21:26:38.2373510Z         This module is going to be deprecated in favor of :ref:`torchrun <launcher-api>`.
2025-06-01T21:26:38.2373550Z     
2025-06-01T21:26:38.2373690Z     The utility can be used for single-node distributed training, in which one or
2025-06-01T21:26:38.2373850Z     more processes per node will be spawned. The utility can be used for either
2025-06-01T21:26:38.2373980Z     CPU training or GPU training. If the utility is used for GPU training,
2025-06-01T21:26:38.2374130Z     each distributed process will be operating on a single GPU. This can achieve
2025-06-01T21:26:38.2374270Z     well-improved single-node training performance. It can also be used in
2025-06-01T21:26:38.2374430Z     multi-node distributed training, by spawning up multiple processes on each node
2025-06-01T21:26:38.2374560Z     for well-improved multi-node distributed training performance as well.
2025-06-01T21:26:38.2374700Z     This will especially be beneficial for systems with multiple Infiniband
2025-06-01T21:26:38.2374850Z     interfaces that have direct-GPU support, since all of them can be utilized for
2025-06-01T21:26:38.2374920Z     aggregated communication bandwidth.
2025-06-01T21:26:38.2374960Z     
2025-06-01T21:26:38.2375090Z     In both cases of single-node distributed training or multi-node distributed
2025-06-01T21:26:38.2375230Z     training, this utility will launch the given number of processes per node
2025-06-01T21:26:38.2375370Z     (``--nproc-per-node``). If used for GPU training, this number needs to be less
2025-06-01T21:26:38.2375500Z     or equal to the number of GPUs on the current system (``nproc_per_node``),
2025-06-01T21:26:38.2375620Z     and each process will be operating on a single GPU from *GPU 0 to
2025-06-01T21:26:38.2375680Z     GPU (nproc_per_node - 1)*.
2025-06-01T21:26:38.2375720Z     
2025-06-01T21:26:38.2375770Z     **How to use this module:**
2025-06-01T21:26:38.2375810Z     
2025-06-01T21:26:38.2375900Z     1. Single-Node multi-process distributed training
2025-06-01T21:26:38.2375930Z     
2025-06-01T21:26:38.2375980Z     ::
2025-06-01T21:26:38.2376010Z     
2025-06-01T21:26:38.2376160Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-06-01T21:26:38.2376270Z                    YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other
2025-06-01T21:26:38.2376350Z                    arguments of your training script)
2025-06-01T21:26:38.2376380Z     
2025-06-01T21:26:38.2376510Z     2. Multi-Node multi-process distributed training: (e.g. two nodes)
2025-06-01T21:26:38.2376550Z     
2025-06-01T21:26:38.2376590Z     
2025-06-01T21:26:38.2376670Z     Node 1: *(IP: 192.168.1.1, and has a free port: 1234)*
2025-06-01T21:26:38.2376710Z     
2025-06-01T21:26:38.2376750Z     ::
2025-06-01T21:26:38.2376790Z     
2025-06-01T21:26:38.2376930Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-06-01T21:26:38.2377060Z                    --nnodes=2 --node-rank=0 --master-addr="192.168.1.1"
2025-06-01T21:26:38.2377180Z                    --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-06-01T21:26:38.2377280Z                    and all other arguments of your training script)
2025-06-01T21:26:38.2377320Z     
2025-06-01T21:26:38.2377360Z     Node 2:
2025-06-01T21:26:38.2377400Z     
2025-06-01T21:26:38.2377430Z     ::
2025-06-01T21:26:38.2377470Z     
2025-06-01T21:26:38.2377610Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-06-01T21:26:38.2377730Z                    --nnodes=2 --node-rank=1 --master-addr="192.168.1.1"
2025-06-01T21:26:38.2377880Z                    --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-06-01T21:26:38.2377970Z                    and all other arguments of your training script)
2025-06-01T21:26:38.2378010Z     
2025-06-01T21:26:38.2378100Z     3. To look up what optional arguments this module offers:
2025-06-01T21:26:38.2378140Z     
2025-06-01T21:26:38.2378180Z     ::
2025-06-01T21:26:38.2378220Z     
2025-06-01T21:26:38.2378300Z         python -m torch.distributed.launch --help
2025-06-01T21:26:38.2378340Z     
2025-06-01T21:26:38.2378380Z     
2025-06-01T21:26:38.2378430Z     **Important Notices:**
2025-06-01T21:26:38.2378470Z     
2025-06-01T21:26:38.2378580Z     1. This utility and multi-process distributed (single-node or
2025-06-01T21:26:38.2378740Z     multi-node) GPU training currently only achieves the best performance using
2025-06-01T21:26:38.2378890Z     the NCCL distributed backend. Thus NCCL backend is the recommended backend to
2025-06-01T21:26:38.2378950Z     use for GPU training.
2025-06-01T21:26:38.2378990Z     
2025-06-01T21:26:38.2379110Z     2. In your training program, you must parse the command-line argument:
2025-06-01T21:26:38.2379250Z     ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module.
2025-06-01T21:26:38.2379390Z     If your training program uses GPUs, you should ensure that your code only
2025-06-01T21:26:38.2379500Z     runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by:
2025-06-01T21:26:38.2379540Z     
2025-06-01T21:26:38.2379600Z     Parsing the local_rank argument
2025-06-01T21:26:38.2379640Z     
2025-06-01T21:26:38.2379680Z     ::
2025-06-01T21:26:38.2379720Z     
2025-06-01T21:26:38.2379770Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2379820Z         >>> import argparse
2025-06-01T21:26:38.2379890Z         >>> parser = argparse.ArgumentParser()
2025-06-01T21:26:38.2380010Z         >>> parser.add_argument("--local-rank", "--local_rank", type=int)
2025-06-01T21:26:38.2380070Z         >>> args = parser.parse_args()
2025-06-01T21:26:38.2380110Z     
2025-06-01T21:26:38.2380180Z     Set your device to local rank using either
2025-06-01T21:26:38.2380220Z     
2025-06-01T21:26:38.2380260Z     ::
2025-06-01T21:26:38.2380290Z     
2025-06-01T21:26:38.2380410Z         >>> torch.cuda.set_device(args.local_rank)  # before your code runs
2025-06-01T21:26:38.2380450Z     
2025-06-01T21:26:38.2380490Z     or
2025-06-01T21:26:38.2380530Z     
2025-06-01T21:26:38.2380570Z     ::
2025-06-01T21:26:38.2380610Z     
2025-06-01T21:26:38.2380680Z         >>> with torch.cuda.device(args.local_rank):
2025-06-01T21:26:38.2380740Z         >>>    # your code to run
2025-06-01T21:26:38.2380780Z         >>>    ...
2025-06-01T21:26:38.2380810Z     
2025-06-01T21:26:38.2380870Z     .. versionchanged:: 2.0.0
2025-06-01T21:26:38.2380910Z     
2025-06-01T21:26:38.2381050Z         The launcher will passes the ``--local-rank=<rank>`` argument to your script.
2025-06-01T21:26:38.2381200Z         From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the
2025-06-01T21:26:38.2381280Z         previously used underscored ``--local_rank``.
2025-06-01T21:26:38.2381320Z     
2025-06-01T21:26:38.2381460Z         For backward compatibility, it may be necessary for users to handle both
2025-06-01T21:26:38.2381650Z         cases in their argument parsing code. This means including both ``"--local-rank"``
2025-06-01T21:26:38.2381790Z         and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is
2025-06-01T21:26:38.2381930Z         provided, the launcher will trigger an error: "error: unrecognized arguments:
2025-06-01T21:26:38.2382070Z         --local-rank=<rank>". For training code that only supports PyTorch 2.0.0+,
2025-06-01T21:26:38.2382160Z         including ``"--local-rank"`` should be sufficient.
2025-06-01T21:26:38.2382200Z     
2025-06-01T21:26:38.2382330Z     3. In your training program, you are supposed to call the following function
2025-06-01T21:26:38.2382490Z     at the beginning to start the distributed backend. It is strongly recommended
2025-06-01T21:26:38.2382640Z     that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work,
2025-06-01T21:26:38.2382760Z     but ``env://`` is the one that is officially supported by this module.
2025-06-01T21:26:38.2382800Z     
2025-06-01T21:26:38.2382840Z     ::
2025-06-01T21:26:38.2382880Z     
2025-06-01T21:26:38.2383000Z         >>> torch.distributed.init_process_group(backend='YOUR BACKEND',
2025-06-01T21:26:38.2383080Z         >>>                                      init_method='env://')
2025-06-01T21:26:38.2383120Z     
2025-06-01T21:26:38.2383260Z     4. In your training program, you can either use regular distributed functions
2025-06-01T21:26:38.2383400Z     or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your
2025-06-01T21:26:38.2383550Z     training program uses GPUs for training and you would like to use
2025-06-01T21:26:38.2383670Z     :func:`torch.nn.parallel.DistributedDataParallel` module,
2025-06-01T21:26:38.2383730Z     here is how to configure it.
2025-06-01T21:26:38.2383770Z     
2025-06-01T21:26:38.2383810Z     ::
2025-06-01T21:26:38.2383840Z     
2025-06-01T21:26:38.2383960Z         >>> model = torch.nn.parallel.DistributedDataParallel(model,
2025-06-01T21:26:38.2384050Z         >>>                                                   device_ids=[args.local_rank],
2025-06-01T21:26:38.2384140Z         >>>                                                   output_device=args.local_rank)
2025-06-01T21:26:38.2384180Z     
2025-06-01T21:26:38.2384330Z     Please ensure that ``device_ids`` argument is set to be the only GPU device id
2025-06-01T21:26:38.2384460Z     that your code will be operating on. This is generally the local rank of the
2025-06-01T21:26:38.2384610Z     process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``,
2025-06-01T21:26:38.2384740Z     and ``output_device`` needs to be ``args.local_rank`` in order to use this
2025-06-01T21:26:38.2384780Z     utility
2025-06-01T21:26:38.2384820Z     
2025-06-01T21:26:38.2384960Z     5. Another way to pass ``local_rank`` to the subprocesses via environment variable
2025-06-01T21:26:38.2385090Z     ``LOCAL_RANK``. This behavior is enabled when you launch the script with
2025-06-01T21:26:38.2385220Z     ``--use-env=True``. You must adjust the subprocess example above to replace
2025-06-01T21:26:38.2385340Z     ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher
2025-06-01T21:26:38.2385440Z     will not pass ``--local-rank`` when you specify this flag.
2025-06-01T21:26:38.2385480Z     
2025-06-01T21:26:38.2385530Z     .. warning::
2025-06-01T21:26:38.2385570Z     
2025-06-01T21:26:38.2385680Z         ``local_rank`` is NOT globally unique: it is only unique per process
2025-06-01T21:26:38.2385800Z         on a machine.  Thus, don't use it to decide if you should, e.g.,
2025-06-01T21:26:38.2385870Z         write to a networked filesystem.  See
2025-06-01T21:26:38.2386000Z         https://github.com/pytorch/pytorch/issues/12042 for an example of
2025-06-01T21:26:38.2386100Z         how things can go wrong if you don't do this correctly.
2025-06-01T21:26:38.2386140Z     
2025-06-01T21:26:38.2386180Z     
2025-06-01T21:26:38.2386210Z     
2025-06-01T21:26:38.2386250Z     
2025-06-01T21:26:38.2386400Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2386460Z     
2025-06-01T21:26:38.2386510Z       warnings.warn(msg)
2025-06-01T21:26:38.2386550Z     
2025-06-01T21:26:38.2386650Z --- Parse Warning: 47 / 118 ---
2025-06-01T21:26:38.2387390Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/device_mesh.py line=677.
2025-06-01T21:26:38.2387560Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-06-01T21:26:38.2387630Z     
2025-06-01T21:26:38.2387790Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-06-01T21:26:38.2387950Z     The submesh created consists of the dimensions and the communicators indicated by
2025-06-01T21:26:38.2387990Z     ``mesh_dim_names``
2025-06-01T21:26:38.2388030Z     
2025-06-01T21:26:38.2388070Z     Args:
2025-06-01T21:26:38.2388210Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-06-01T21:26:38.2388320Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-06-01T21:26:38.2388360Z     Returns:
2025-06-01T21:26:38.2388420Z         A :class:`DeviceMesh` object
2025-06-01T21:26:38.2388460Z     
2025-06-01T21:26:38.2388650Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-06-01T21:26:38.2388700Z     In the first example:
2025-06-01T21:26:38.2388860Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-06-01T21:26:38.2389000Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-06-01T21:26:38.2389140Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-06-01T21:26:38.2389270Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-06-01T21:26:38.2389400Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-06-01T21:26:38.2389520Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-06-01T21:26:38.2389560Z     
2025-06-01T21:26:38.2389610Z     In the second example:
2025-06-01T21:26:38.2389770Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-06-01T21:26:38.2389930Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-06-01T21:26:38.2390080Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-06-01T21:26:38.2390240Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-06-01T21:26:38.2390270Z     
2025-06-01T21:26:38.2390320Z     Example::
2025-06-01T21:26:38.2390360Z     
2025-06-01T21:26:38.2390420Z         >>> # xdoctest: +SKIP("no rank")
2025-06-01T21:26:38.2390520Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-06-01T21:26:38.2390560Z         >>>
2025-06-01T21:26:38.2390680Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-06-01T21:26:38.2390770Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-06-01T21:26:38.2390920Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-06-01T21:26:38.2390970Z         >>> tp_mesh = mesh_2d["tp"]
2025-06-01T21:26:38.2391030Z         >>> dp_mesh = mesh_2d["dp"]
2025-06-01T21:26:38.2391070Z         >>>
2025-06-01T21:26:38.2391120Z         >>> # Initialize a 3D mesh.
2025-06-01T21:26:38.2391290Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-06-01T21:26:38.2391470Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-06-01T21:26:38.2391550Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-06-01T21:26:38.2391620Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-06-01T21:26:38.2391660Z     
2025-06-01T21:26:38.2392040Z     Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-06-01T21:26:38.2392080Z     
2025-06-01T21:26:38.2392230Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-06-01T21:26:38.2394940Z                                                                                      ^
2025-06-01T21:26:38.2395020Z       warnings.warn(msg)
2025-06-01T21:26:38.2395060Z     
2025-06-01T21:26:38.2395180Z --- Parse Warning: 48 / 118 ---
2025-06-01T21:26:38.2395980Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=40.
2025-06-01T21:26:38.2396130Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2396170Z     
2025-06-01T21:26:38.2396350Z     StorageReader for reading a Torch Save file. This reader will read the entire checkpoint
2025-06-01T21:26:38.2396510Z     on the coordinator rank, and then broadcast and shard each tensor to all ranks.
2025-06-01T21:26:38.2396550Z     
2025-06-01T21:26:38.2396650Z     . N.B. Intended to be used with DynamicMetaLoadPlanner
2025-06-01T21:26:38.2396690Z     
2025-06-01T21:26:38.2396730Z     .. warning::
2025-06-01T21:26:38.2396840Z         Current implementation only supports loading Tensors.
2025-06-01T21:26:38.2396880Z     
2025-06-01T21:26:38.2396940Z     >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:38.2396990Z     >>> sd = {"mode": model}
2025-06-01T21:26:38.2397040Z     >>> dcp.load(
2025-06-01T21:26:38.2397070Z     >>>    sd,
2025-06-01T21:26:38.2397170Z     >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-06-01T21:26:38.2397230Z     >>>    planner=DynamicMetaLoadPlanner(),
2025-06-01T21:26:38.2397290Z     >>>    checkpoint_id="path_to_model.pt"
2025-06-01T21:26:38.2397330Z     >>> )
2025-06-01T21:26:38.2397370Z     
2025-06-01T21:26:38.2397520Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2397560Z     
2025-06-01T21:26:38.2397610Z       warnings.warn(msg)
2025-06-01T21:26:38.2397650Z     
2025-06-01T21:26:38.2397750Z --- Parse Warning: 49 / 118 ---
2025-06-01T21:26:38.2398520Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=151.
2025-06-01T21:26:38.2398680Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2398710Z     
2025-06-01T21:26:38.2398930Z     Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict,
2025-06-01T21:26:38.2399120Z     avoiding the need to read metadata from disk. This is useful when reading formats which don't have a
2025-06-01T21:26:38.2399180Z     metadata file, like Torch Save files.
2025-06-01T21:26:38.2399220Z     
2025-06-01T21:26:38.2399330Z     . N.B. Intended to be used with BroadcastingTorchSaveReader
2025-06-01T21:26:38.2399370Z     
2025-06-01T21:26:38.2399410Z     .. warning::
2025-06-01T21:26:38.2399510Z         Current implementation only supports loading Tensors.
2025-06-01T21:26:38.2399550Z     
2025-06-01T21:26:38.2399610Z     >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:38.2399690Z     >>> sd = {"mode": model}
2025-06-01T21:26:38.2399740Z     >>> dcp.load(
2025-06-01T21:26:38.2399780Z     >>>    sd,
2025-06-01T21:26:38.2399870Z     >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-06-01T21:26:38.2399930Z     >>>    planner=DynamicMetaLoadPlanner(),
2025-06-01T21:26:38.2400000Z     >>>    checkpoint_id="path_to_model.pt"
2025-06-01T21:26:38.2400040Z     >>> )
2025-06-01T21:26:38.2400070Z     
2025-06-01T21:26:38.2400220Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2400260Z     
2025-06-01T21:26:38.2400310Z       warnings.warn(msg)
2025-06-01T21:26:38.2400370Z     
2025-06-01T21:26:38.2400490Z --- Parse Warning: 50 / 118 ---
2025-06-01T21:26:38.2401250Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-06-01T21:26:38.2401400Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2401440Z     
2025-06-01T21:26:38.2401610Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-06-01T21:26:38.2401640Z     
2025-06-01T21:26:38.2401820Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-06-01T21:26:38.2401900Z     
2025-06-01T21:26:38.2402070Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-06-01T21:26:38.2402130Z     will be visible to the whole process.
2025-06-01T21:26:38.2402170Z     
2025-06-01T21:26:38.2402330Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-06-01T21:26:38.2402370Z     
2025-06-01T21:26:38.2402440Z     1) set_up_planner - called on all ranks.
2025-06-01T21:26:38.2402510Z         Signals the start of a checkpoint save.
2025-06-01T21:26:38.2402550Z     
2025-06-01T21:26:38.2402620Z     2) create_local_plan - called on all ranks.
2025-06-01T21:26:38.2402790Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-06-01T21:26:38.2402830Z     
2025-06-01T21:26:38.2402940Z     3) create_global_plan - called on the coordinator rank only.
2025-06-01T21:26:38.2403050Z         Takes the SavePlan from all ranks and make any global decision.
2025-06-01T21:26:38.2403090Z     
2025-06-01T21:26:38.2403160Z     4) finish_plan - called on all ranks.
2025-06-01T21:26:38.2403290Z         This gives each rank a chance to adjust to global planning decisions.
2025-06-01T21:26:38.2403330Z     
2025-06-01T21:26:38.2403420Z     5) resolve_data - called multiple times on each rank
2025-06-01T21:26:38.2403540Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-06-01T21:26:38.2403580Z     
2025-06-01T21:26:38.2403760Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-06-01T21:26:38.2403870Z     most changes can be expressed by changes in a single method.
2025-06-01T21:26:38.2403910Z     
2025-06-01T21:26:38.2403970Z     There are 3 usual patterns of extension:
2025-06-01T21:26:38.2404010Z     
2025-06-01T21:26:38.2404160Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-06-01T21:26:38.2404300Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-06-01T21:26:38.2404340Z     
2025-06-01T21:26:38.2404400Z     >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:38.2404470Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-06-01T21:26:38.2404530Z     >>>     def set_up_planner(
2025-06-01T21:26:38.2404570Z     >>>         self,
2025-06-01T21:26:38.2404630Z     >>>         state_dict: STATE_DICT_TYPE,
2025-06-01T21:26:38.2404710Z     >>>         storage_meta: Optional[StorageMeta],
2025-06-01T21:26:38.2404760Z     >>>         is_coordinator: bool,
2025-06-01T21:26:38.2404830Z     >>>     ) -> None:
2025-06-01T21:26:38.2404890Z     >>> # prefix all keys with `foo_``
2025-06-01T21:26:38.2405070Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-06-01T21:26:38.2405100Z     
2025-06-01T21:26:38.2405300Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-06-01T21:26:38.2405340Z     
2025-06-01T21:26:38.2405400Z     >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:38.2405470Z     >>> class FP16Planner(DefaultSavePlanner):
2025-06-01T21:26:38.2405550Z     >>>     def create_local_plan(self):
2025-06-01T21:26:38.2405630Z     >>>         plan = super().create_local_plan()
2025-06-01T21:26:38.2405690Z     >>>         for p in plan:
2025-06-01T21:26:38.2405750Z     >>>             if p.tensor_data is not None:
2025-06-01T21:26:38.2405850Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-06-01T21:26:38.2405900Z     >>>         return plan
2025-06-01T21:26:38.2405940Z     >>>
2025-06-01T21:26:38.2406010Z     >>>     def resolve_data(self, write_item):
2025-06-01T21:26:38.2406080Z     >>>         item = super().resolve_data(write_item)
2025-06-01T21:26:38.2406240Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-06-01T21:26:38.2406280Z     
2025-06-01T21:26:38.2406510Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-06-01T21:26:38.2406550Z     
2025-06-01T21:26:38.2406610Z     >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:38.2406680Z     >>> from itertools import zip_longest
2025-06-01T21:26:38.2406740Z     >>> from dataclasses import replace
2025-06-01T21:26:38.2406840Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-06-01T21:26:38.2407000Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-06-01T21:26:38.2407080Z     >>> # This sample doesn't handle ShardedTensors
2025-06-01T21:26:38.2407150Z     >>>     def create_global_plan(self, all_plans):
2025-06-01T21:26:38.2407250Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-06-01T21:26:38.2407300Z     >>>         items_per_rank = [
2025-06-01T21:26:38.2407380Z     >>>             [item for item in items if item is not None]
2025-06-01T21:26:38.2407480Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-06-01T21:26:38.2407520Z     >>>         ]
2025-06-01T21:26:38.2407570Z     >>>         all_plans = [
2025-06-01T21:26:38.2407640Z     >>>             replace(plan, items=items)
2025-06-01T21:26:38.2407760Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-06-01T21:26:38.2407800Z     >>>         ]
2025-06-01T21:26:38.2407880Z     >>>         return super().create_global_plan(all_plans)
2025-06-01T21:26:38.2407920Z     
2025-06-01T21:26:38.2408070Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-06-01T21:26:38.2408230Z     accomplished by having each rank contribute their data items in the local plan and
2025-06-01T21:26:38.2408290Z     the global planner aggregate them:
2025-06-01T21:26:38.2408330Z     
2025-06-01T21:26:38.2408390Z     >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:38.2408480Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-06-01T21:26:38.2408560Z     >>>     def create_local_plan(self) -> SavePlan:
2025-06-01T21:26:38.2408630Z     >>>         plan = super().create_local_plan()
2025-06-01T21:26:38.2408730Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-06-01T21:26:38.2408770Z     >>>
2025-06-01T21:26:38.2408950Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-06-01T21:26:38.2409060Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-06-01T21:26:38.2409160Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-06-01T21:26:38.2409290Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-06-01T21:26:38.2409350Z     >>>         return global_plan, metadata
2025-06-01T21:26:38.2409390Z     
2025-06-01T21:26:38.2409540Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2409570Z     
2025-06-01T21:26:38.2409620Z       warnings.warn(msg)
2025-06-01T21:26:38.2409660Z     
2025-06-01T21:26:38.2409760Z --- Parse Warning: 51 / 118 ---
2025-06-01T21:26:38.2410520Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-06-01T21:26:38.2410700Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2410750Z     
2025-06-01T21:26:38.2410910Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-06-01T21:26:38.2410950Z     
2025-06-01T21:26:38.2411120Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-06-01T21:26:38.2411150Z     
2025-06-01T21:26:38.2411320Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-06-01T21:26:38.2411400Z     will be visible to the whole process.
2025-06-01T21:26:38.2411440Z     
2025-06-01T21:26:38.2411610Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-06-01T21:26:38.2411650Z     
2025-06-01T21:26:38.2411710Z     1) set_up_planner - called on all ranks.
2025-06-01T21:26:38.2411790Z         Signals the start of loading a checkpoint.
2025-06-01T21:26:38.2411830Z     
2025-06-01T21:26:38.2411900Z     2) create_local_plan - called on all ranks.
2025-06-01T21:26:38.2412070Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-06-01T21:26:38.2412110Z     
2025-06-01T21:26:38.2412210Z     3) create_global_plan - called on the coordinator rank only.
2025-06-01T21:26:38.2412330Z         Takes the LoadPlan from all ranks and make any global decision.
2025-06-01T21:26:38.2412370Z     
2025-06-01T21:26:38.2412460Z     4) load_bytes - called multiple times on each rank
2025-06-01T21:26:38.2412560Z         This is called once per non-tensor value in state_dict.
2025-06-01T21:26:38.2412590Z     
2025-06-01T21:26:38.2412720Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-06-01T21:26:38.2412840Z         They are called in pair for each Tensor value in state_dict.
2025-06-01T21:26:38.2412870Z     
2025-06-01T21:26:38.2413050Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-06-01T21:26:38.2413160Z     most changes can be expressed by changes in a single method.
2025-06-01T21:26:38.2413200Z     
2025-06-01T21:26:38.2413270Z     There are two usual patterns of extension:
2025-06-01T21:26:38.2413310Z     
2025-06-01T21:26:38.2413450Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-06-01T21:26:38.2413600Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-06-01T21:26:38.2413740Z     to keep a reference to the original state_dict as load happens in place so
2025-06-01T21:26:38.2413810Z     we need to be able to perform it in place
2025-06-01T21:26:38.2413850Z     
2025-06-01T21:26:38.2413910Z     >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:38.2413980Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-06-01T21:26:38.2414040Z     >>>     def set_up_planner(
2025-06-01T21:26:38.2414080Z     >>>         self,
2025-06-01T21:26:38.2414140Z     >>>         state_dict: STATE_DICT_TYPE,
2025-06-01T21:26:38.2414200Z     >>>         metadata: Metadata,
2025-06-01T21:26:38.2414250Z     >>>         is_coordinator: bool,
2025-06-01T21:26:38.2414320Z     >>>     ) -> None:
2025-06-01T21:26:38.2414390Z     >>>         self.original_state_dict = state_dict
2025-06-01T21:26:38.2414500Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-06-01T21:26:38.2414540Z     >>>
2025-06-01T21:26:38.2414610Z     >>>         if self.flatten_sharded_tensors:
2025-06-01T21:26:38.2414700Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-06-01T21:26:38.2414740Z     >>>
2025-06-01T21:26:38.2414800Z     >>>         if self.flatten_state_dict:
2025-06-01T21:26:38.2414930Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-06-01T21:26:38.2414990Z     >>>
2025-06-01T21:26:38.2415050Z     >>>         self.state_dict = state_dict
2025-06-01T21:26:38.2415110Z     >>>         self.metadata = metadata
2025-06-01T21:26:38.2415180Z     >>>         self.is_coordinator = is_coordinator
2025-06-01T21:26:38.2415220Z     >>>
2025-06-01T21:26:38.2415290Z     >>>     def load_bytes(self, read_item, value):
2025-06-01T21:26:38.2415350Z     >>> # Remove the "foo_" prefix
2025-06-01T21:26:38.2415540Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-06-01T21:26:38.2415570Z     
2025-06-01T21:26:38.2415610Z     
2025-06-01T21:26:38.2415770Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-06-01T21:26:38.2415800Z     
2025-06-01T21:26:38.2415890Z     >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:38.2415980Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-06-01T21:26:38.2416050Z     >>>     def resolve_tensor(self, read_item):
2025-06-01T21:26:38.2416130Z     >>>         tensor = super().resolve_tensor(read_item)
2025-06-01T21:26:38.2416220Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-06-01T21:26:38.2416260Z     >>>
2025-06-01T21:26:38.2416330Z     >>>     def commit_tensor(self, read_item, tensor):
2025-06-01T21:26:38.2416430Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-06-01T21:26:38.2416470Z     
2025-06-01T21:26:38.2416610Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2416650Z     
2025-06-01T21:26:38.2416700Z       warnings.warn(msg)
2025-06-01T21:26:38.2416740Z     
2025-06-01T21:26:38.2416840Z --- Parse Warning: 52 / 118 ---
2025-06-01T21:26:38.2417580Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py line=1118.
2025-06-01T21:26:38.2417740Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2417770Z     
2025-06-01T21:26:38.2417870Z     Return the model state_dict and optimizers state_dict.
2025-06-01T21:26:38.2417910Z     
2025-06-01T21:26:38.2418040Z     ``get_state_dict`` can process any module that is parallelized by PyTorch
2025-06-01T21:26:38.2418190Z     FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any
2025-06-01T21:26:38.2418340Z     combination of these parallelisms. The main functions of ``get_state_dict``
2025-06-01T21:26:38.2418460Z     are: 1.) returning a model and optimizer state_dict that can be resharded
2025-06-01T21:26:38.2418590Z     with a different number of trainers and/or different parallelisms.
2025-06-01T21:26:38.2418740Z     2.) hiding the parallelism-specific state_dict APIs. Users don't have to call
2025-06-01T21:26:38.2418780Z     these APIs.
2025-06-01T21:26:38.2418850Z     3.) sanity checking the result state_dict.
2025-06-01T21:26:38.2418890Z     
2025-06-01T21:26:38.2419010Z     The keys of the result state dictionary are the canonical FQNs (Fully
2025-06-01T21:26:38.2419160Z     Qualified Names).  A canonical FQN refers to the FQN based on a parameter's
2025-06-01T21:26:38.2419330Z     position in an nn.Module hierarchy. More specifically, a canonical FQN to a
2025-06-01T21:26:38.2419450Z     parameter is the FQN returned by ``module.named_parameters()`` or
2025-06-01T21:26:38.2419570Z     ``module.named_buffers()`` when the module is not distributed by any
2025-06-01T21:26:38.2419720Z     parallelisms. Since the optimizer internally uses parameter IDs to represent
2025-06-01T21:26:38.2419850Z     a parameter, there will be a conversion from the parameter IDs to the
2025-06-01T21:26:38.2419910Z     canonical FQNs when calling this API.
2025-06-01T21:26:38.2419950Z     
2025-06-01T21:26:38.2420100Z     ``get_state_dict`` can also process a module that is not parallelized. In
2025-06-01T21:26:38.2420250Z     such a case, ``get_state_dict`` only performs one function -- converting the
2025-06-01T21:26:38.2420340Z     optimizer parameter IDs to the canonical FQNs.
2025-06-01T21:26:38.2420380Z     
2025-06-01T21:26:38.2420420Z     Example:
2025-06-01T21:26:38.2420470Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2420510Z         >>> import torch
2025-06-01T21:26:38.2420660Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-06-01T21:26:38.2420780Z         >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-06-01T21:26:38.2420910Z         >>> from torch.distributed.checkpoint.state_dict import get_state_dict
2025-06-01T21:26:38.2420950Z     
2025-06-01T21:26:38.2421040Z         >>> fsdp_model = FSDP(copy.deepcopy(model))
2025-06-01T21:26:38.2421150Z         >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-06-01T21:26:38.2421220Z         >>> ddp_model = DDP(copy.deepcopy(model))
2025-06-01T21:26:38.2421340Z         >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-06-01T21:26:38.2421370Z     
2025-06-01T21:26:38.2421410Z     
2025-06-01T21:26:38.2421550Z         >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim)
2025-06-01T21:26:38.2421650Z         >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict(
2025-06-01T21:26:38.2421710Z         ...     fsdp_model, fsdp_optim
2025-06-01T21:26:38.2421750Z         ... )
2025-06-01T21:26:38.2421790Z     
2025-06-01T21:26:38.2421920Z         >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(),
2025-06-01T21:26:38.2421970Z         >>> # the asserts will fail.
2025-06-01T21:26:38.2422050Z         >>> assert ddp_state_dict == fsdp_state_dict
2025-06-01T21:26:38.2422140Z         >>> assert ddp_optim_state == fsdp_optim_state_dict
2025-06-01T21:26:38.2422180Z     
2025-06-01T21:26:38.2422220Z     
2025-06-01T21:26:38.2422260Z     Args:
2025-06-01T21:26:38.2422340Z         model (nn.Module): the nn.Module to the model.
2025-06-01T21:26:38.2422450Z         optimizers (Union[None, Optimizer, Iterable[Optimizer]]):
2025-06-01T21:26:38.2422540Z             The optimizers that are used to optimize ``model``.
2025-06-01T21:26:38.2422710Z         submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters
2025-06-01T21:26:38.2422770Z             that belong to the submodules.
2025-06-01T21:26:38.2422870Z         options (StateDictOptions): the options to control how
2025-06-01T21:26:38.2423000Z             model state_dict and optimizer state_dict should be returned. See
2025-06-01T21:26:38.2423060Z             `StateDictOptions` for the details.
2025-06-01T21:26:38.2423100Z     
2025-06-01T21:26:38.2423140Z     Returns:
2025-06-01T21:26:38.2423260Z         ``Tuple`` that contain model state_dict and optimizer state_dict.
2025-06-01T21:26:38.2423300Z     
2025-06-01T21:26:38.2423430Z     :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType]
2025-06-01T21:26:38.2423470Z     
2025-06-01T21:26:38.2423620Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2423660Z     
2025-06-01T21:26:38.2423710Z       warnings.warn(msg)
2025-06-01T21:26:38.2423750Z     
2025-06-01T21:26:38.2423840Z --- Parse Warning: 53 / 118 ---
2025-06-01T21:26:38.2424600Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=save in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=85.
2025-06-01T21:26:38.2424750Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2424790Z     
2025-06-01T21:26:38.2424850Z     Save a distributed model in SPMD style.
2025-06-01T21:26:38.2424890Z     
2025-06-01T21:26:38.2425020Z     This function is different from ``torch.save()`` as it handles
2025-06-01T21:26:38.2425190Z     ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards.
2025-06-01T21:26:38.2425230Z     
2025-06-01T21:26:38.2425380Z     For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-06-01T21:26:38.2425470Z     save will call ``state_dict`` before serialization.
2025-06-01T21:26:38.2425510Z     
2025-06-01T21:26:38.2425550Z     .. warning::
2025-06-01T21:26:38.2425690Z         There is no guarantees of Backwards Compatibility across PyTorch versions
2025-06-01T21:26:38.2425750Z         for saved state_dicts.
2025-06-01T21:26:38.2425780Z     
2025-06-01T21:26:38.2425830Z     .. warning::
2025-06-01T21:26:38.2425950Z         If using the `process_group` argument, make sure that only its ranks
2025-06-01T21:26:38.2426100Z         call `save_state_dict` and that all data in state_dict belong to it.
2025-06-01T21:26:38.2426140Z     
2025-06-01T21:26:38.2426190Z     .. note::
2025-06-01T21:26:38.2426340Z         When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of
2025-06-01T21:26:38.2426500Z         the shard_group should be calling `save_state_dict` and the corresponding process
2025-06-01T21:26:38.2426550Z         group needs to be passed in.
2025-06-01T21:26:38.2426590Z     
2025-06-01T21:26:38.2426630Z     .. note::
2025-06-01T21:26:38.2426790Z         If no process group is available, this function assumes the intention is to save the
2025-06-01T21:26:38.2426850Z          state_dict in the local process.
2025-06-01T21:26:38.2426890Z     
2025-06-01T21:26:38.2426930Z     .. note:
2025-06-01T21:26:38.2427010Z         Rank 0 is assumed to be the coordinator rank.
2025-06-01T21:26:38.2427050Z     
2025-06-01T21:26:38.2427090Z     
2025-06-01T21:26:38.2427130Z     Args:
2025-06-01T21:26:38.2427220Z         state_dict (Dict[str, Any]): The state_dict to save.
2025-06-01T21:26:38.2427300Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-06-01T21:26:38.2427430Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-06-01T21:26:38.2427550Z             depends on the storage. It can be a path to a folder or to a file.
2025-06-01T21:26:38.2427650Z             It can also be a key if the storage is a key-value store.
2025-06-01T21:26:38.2427700Z             (Default: ``None``)
2025-06-01T21:26:38.2427780Z         storage_writer (Optional[StorageWriter]):
2025-06-01T21:26:38.2427970Z             Instance of StorageWriter used to perform writes. If this is not
2025-06-01T21:26:38.2428090Z             specified, DCP will automatically infer the writer based on the
2025-06-01T21:26:38.2428210Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-06-01T21:26:38.2428270Z             be raised. (Default: ``None``)
2025-06-01T21:26:38.2428330Z         planner (Optional[SavePlanner]):
2025-06-01T21:26:38.2428450Z             Instance of SavePlanner. If this is not specificed, the default
2025-06-01T21:26:38.2428520Z             planner will be used. (Default: ``None``)
2025-06-01T21:26:38.2428600Z         process_group (Optional[ProcessGroup]):
2025-06-01T21:26:38.2428710Z             ProcessGroup to be used for cross-rank synchronization.
2025-06-01T21:26:38.2428760Z             (Default: ``None``)
2025-06-01T21:26:38.2428860Z         no_dist (bool):
2025-06-01T21:26:38.2428960Z             If ``True``, this function will assume the intent is to load
2025-06-01T21:26:38.2429070Z             a checkpoint without using cross-rank synchronization.
2025-06-01T21:26:38.2429120Z             (Default: ``False``)
2025-06-01T21:26:38.2429160Z     
2025-06-01T21:26:38.2429200Z     Returns:
2025-06-01T21:26:38.2429290Z         Metadata: Metadata object for the saved checkpoint.
2025-06-01T21:26:38.2429330Z     
2025-06-01T21:26:38.2429370Z     Example:
2025-06-01T21:26:38.2429420Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2429470Z         >>> my_model = MyModule()
2025-06-01T21:26:38.2429540Z     
2025-06-01T21:26:38.2429630Z         >>> state_dict = {"model": my_model}
2025-06-01T21:26:38.2429670Z     
2025-06-01T21:26:38.2429810Z         >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-06-01T21:26:38.2429860Z         ...     "/checkpoint/1"
2025-06-01T21:26:38.2429900Z         ... )
2025-06-01T21:26:38.2429970Z         >>> torch.distributed.checkpoint.save(
2025-06-01T21:26:38.2430030Z         >>>     state_dict=state_dict,
2025-06-01T21:26:38.2430100Z         >>>     storage_writer=fs_storage_writer,
2025-06-01T21:26:38.2430140Z         >>> )
2025-06-01T21:26:38.2430170Z     
2025-06-01T21:26:38.2430210Z     .. note::
2025-06-01T21:26:38.2430340Z         save_state_dict uses collectives to coordinate writes across ranks.
2025-06-01T21:26:38.2430470Z         For NCCL-based process groups, internal tensor representations of
2025-06-01T21:26:38.2430620Z         objects must be moved to the GPU device before communication takes place.
2025-06-01T21:26:38.2430760Z         In this case, the device used is given by ``torch.cuda.current_device()``
2025-06-01T21:26:38.2430880Z         and it is the user's responsibility to ensure that this is set so that
2025-06-01T21:26:38.2431000Z         each rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-06-01T21:26:38.2431030Z     
2025-06-01T21:26:38.2431180Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2431220Z     
2025-06-01T21:26:38.2431270Z       warnings.warn(msg)
2025-06-01T21:26:38.2431310Z     
2025-06-01T21:26:38.2431410Z --- Parse Warning: 54 / 118 ---
2025-06-01T21:26:38.2432160Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_save in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=195.
2025-06-01T21:26:38.2432320Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2432470Z     Asynchronous version of ``save``. This code first de-stages the state_dict on to the
2025-06-01T21:26:38.2432650Z         staging storage (defaults to CPU memory), and then calls the `save` in a separate thread.
2025-06-01T21:26:38.2432680Z     
2025-06-01T21:26:38.2432730Z         .. warning::
2025-06-01T21:26:38.2432820Z             This feature is experimental and subject to change.
2025-06-01T21:26:38.2432860Z     
2025-06-01T21:26:38.2432900Z         Args:
2025-06-01T21:26:38.2433000Z             state_dict (Dict[str, Any]): The state_dict to save.
2025-06-01T21:26:38.2433080Z             checkpoint_id (Union[str, os.PathLike, None]):
2025-06-01T21:26:38.2433210Z                 The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-06-01T21:26:38.2433330Z                 depends on the storage. It can be a path to a folder or to a file.
2025-06-01T21:26:38.2433430Z                 It can also be a key if the storage is a key-value store.
2025-06-01T21:26:38.2433490Z                 (Default: ``None``)
2025-06-01T21:26:38.2433570Z             storage_writer (Optional[StorageWriter]):
2025-06-01T21:26:38.2433690Z                 Instance of StorageWriter used to perform 'stage' and  'save'. If
2025-06-01T21:26:38.2433850Z                 this is not specified, DCP will automatically infer the writer based on the
2025-06-01T21:26:38.2433980Z                 checkpoint_id. If checkpoint_id is also None, an exception will
2025-06-01T21:26:38.2434040Z                 be raised. (Default: ``None``)
2025-06-01T21:26:38.2434110Z             planner (Optional[SavePlanner]):
2025-06-01T21:26:38.2434230Z                 Instance of SavePlanner. If this is not specificed, the default
2025-06-01T21:26:38.2434310Z                 planner will be used. (Default: ``None``)
2025-06-01T21:26:38.2434390Z             process_group (Optional[ProcessGroup]):
2025-06-01T21:26:38.2434520Z                 ProcessGroup to be used for cross-rank synchronization.
2025-06-01T21:26:38.2434590Z                 (Default: ``None``)
2025-06-01T21:26:38.2434630Z     
2025-06-01T21:26:38.2434670Z         Returns:
2025-06-01T21:26:38.2434790Z             Future: A future holding the resultant Metadata object from `save`.
2025-06-01T21:26:38.2434830Z     
2025-06-01T21:26:38.2434870Z         Example:
2025-06-01T21:26:38.2434930Z             >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2434980Z             >>> my_model = MyModule()
2025-06-01T21:26:38.2435020Z     
2025-06-01T21:26:38.2435090Z             >>> state_dict = {"model": my_model}
2025-06-01T21:26:38.2435130Z     
2025-06-01T21:26:38.2435260Z             >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-06-01T21:26:38.2435320Z             ...     "/checkpoint/1"
2025-06-01T21:26:38.2435380Z             ... )
2025-06-01T21:26:38.2435510Z             >>> checkpoint_future = torch.distributed.checkpoint.async_save(
2025-06-01T21:26:38.2435570Z             >>>     state_dict=state_dict,
2025-06-01T21:26:38.2435640Z             >>>     storage_writer=fs_storage_writer,
2025-06-01T21:26:38.2435680Z             >>> )
2025-06-01T21:26:38.2435720Z             >>>
2025-06-01T21:26:38.2435770Z             >>> # ... do some work ...
2025-06-01T21:26:38.2435810Z             >>>
2025-06-01T21:26:38.2435870Z             >>> checkpoint_future.result()
2025-06-01T21:26:38.2435910Z     
2025-06-01T21:26:38.2435950Z         
2025-06-01T21:26:38.2436100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2436140Z     
2025-06-01T21:26:38.2436190Z       warnings.warn(msg)
2025-06-01T21:26:38.2436220Z     
2025-06-01T21:26:38.2436320Z --- Parse Warning: 55 / 118 ---
2025-06-01T21:26:38.2437060Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=62.
2025-06-01T21:26:38.2437210Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2437260Z     
2025-06-01T21:26:38.2437370Z     Load a checkpoint into a distributed state dict in SPMD style.
2025-06-01T21:26:38.2437410Z     
2025-06-01T21:26:38.2437540Z     Each rank must have the same keys in their ``state_dict`` provided to this
2025-06-01T21:26:38.2437670Z     API. Mismatched keys may result in hangs or errors. If unsure, you can use
2025-06-01T21:26:38.2437800Z     the ``utils._assert_same_keys`` API to check (but may incur communication
2025-06-01T21:26:38.2437840Z     costs).
2025-06-01T21:26:38.2437880Z     
2025-06-01T21:26:38.2437990Z     Each rank will try to read the least amount of data necessary
2025-06-01T21:26:38.2438130Z     to fulfill the requested `state_dict`. When loading :class:`ShardedTensor`
2025-06-01T21:26:38.2438270Z     or :class:`DTensor` instances, each rank only reads data for their local shards.
2025-06-01T21:26:38.2438310Z     
2025-06-01T21:26:38.2438460Z     For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-06-01T21:26:38.2438620Z     load will first call ``state_dict`` before attempting deserialization, followed by
2025-06-01T21:26:38.2438790Z     ``load_state_dict`` once the deserialization is complete.
2025-06-01T21:26:38.2438940Z     For each non-``Stateful`` object, load will deserailize the object, and then replace
2025-06-01T21:26:38.2439030Z     it in the ``state_dict`` with the deserialized object.
2025-06-01T21:26:38.2439070Z     
2025-06-01T21:26:38.2439110Z     .. warning::
2025-06-01T21:26:38.2439210Z         All tensors in ``state_dict`` must be allocated on their
2025-06-01T21:26:38.2439310Z         destination device *prior to* calling this function.
2025-06-01T21:26:38.2439340Z     
2025-06-01T21:26:38.2439500Z         All non-tensor data is loaded using `torch.load()` and modified in place
2025-06-01T21:26:38.2439570Z         on state_dict.
2025-06-01T21:26:38.2439610Z     
2025-06-01T21:26:38.2439650Z     .. warning::
2025-06-01T21:26:38.2439770Z         Users must call `load_state_dict` on the root module to ensure load
2025-06-01T21:26:38.2439880Z         pos-processing and non-tensor data properly propagates.
2025-06-01T21:26:38.2439920Z     
2025-06-01T21:26:38.2439960Z     .. note:
2025-06-01T21:26:38.2440090Z         If no process group is initialized, this function will assume the intent
2025-06-01T21:26:38.2440220Z         is to load a checkpoint into the local process. This can be useful in the
2025-06-01T21:26:38.2440370Z         case of local inference, and when using regular Tensors (as opposed to DTensor
2025-06-01T21:26:38.2440420Z          or ShardedTensor)
2025-06-01T21:26:38.2440460Z     
2025-06-01T21:26:38.2440520Z     .. note:
2025-06-01T21:26:38.2440600Z         Rank 0 is assumed to be the coordinator rank.
2025-06-01T21:26:38.2440640Z     
2025-06-01T21:26:38.2440680Z     Args:
2025-06-01T21:26:38.2440810Z         state_dict (Dict[str, Any]): The state_dict to load the checkpoint into.
2025-06-01T21:26:38.2440890Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-06-01T21:26:38.2441010Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-06-01T21:26:38.2441130Z             depends on the storage. It can be a path to a folder or to a file.
2025-06-01T21:26:38.2441230Z             It can also be a key if the storage is a key-value store.
2025-06-01T21:26:38.2441280Z             (Default: ``None``)
2025-06-01T21:26:38.2441360Z         storage_reader (Optional[StorageReader]):
2025-06-01T21:26:38.2441480Z             Instance of StorageWriter used to perform reads. If this is not
2025-06-01T21:26:38.2441600Z             specified, DCP will automatically infer the reader based on the
2025-06-01T21:26:38.2441720Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-06-01T21:26:38.2441780Z             be raised. (Default: ``None``)
2025-06-01T21:26:38.2441840Z         planner (Optional[LoadPlanner]):
2025-06-01T21:26:38.2441960Z             Instance of LoadPlanner. If this is not specificed, the default
2025-06-01T21:26:38.2442040Z             planner will be used. (Default: ``None``)
2025-06-01T21:26:38.2442110Z         process_group (Optional[ProcessGroup]):
2025-06-01T21:26:38.2442220Z             ProcessGroup to be used for cross-rank synchronization.
2025-06-01T21:26:38.2442270Z             (Default: ``None``)
2025-06-01T21:26:38.2442400Z         no_dist (bool): If ``True``, this function will assume the intent is to load
2025-06-01T21:26:38.2442550Z             a checkpoint without using cross-rank synchronization. (Default: ``False``)
2025-06-01T21:26:38.2442590Z     Returns:
2025-06-01T21:26:38.2442630Z         None.
2025-06-01T21:26:38.2442670Z     
2025-06-01T21:26:38.2442710Z     Examples
2025-06-01T21:26:38.2442760Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2442810Z         >>> my_model = MyModule()
2025-06-01T21:26:38.2442890Z         >>> optimizer = Adagrad(my_model.parameters())
2025-06-01T21:26:38.2442970Z         >>> model_state_dict = my_model.state_dict()
2025-06-01T21:26:38.2443110Z         >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader(
2025-06-01T21:26:38.2443160Z         ...     "/checkpoint/1"
2025-06-01T21:26:38.2443240Z         ... )
2025-06-01T21:26:38.2443280Z     
2025-06-01T21:26:38.2443370Z         >>> torch.distributed.checkpoint.load_state_dict(
2025-06-01T21:26:38.2443440Z         >>>     state_dict=model_state_dict,
2025-06-01T21:26:38.2443500Z         >>>     storage_reader=fs_storage_reader,
2025-06-01T21:26:38.2446100Z         >>> )
2025-06-01T21:26:38.2446150Z     
2025-06-01T21:26:38.2446270Z         >>> # module.load_state_dict() function might have customized steps
2025-06-01T21:26:38.2446350Z         >>> # to flush the state_dict, must call it to
2025-06-01T21:26:38.2446480Z         >>> # ensure correct behavior.
2025-06-01T21:26:38.2446570Z         >>> my_model.load_state_dict(model_state_dict)
2025-06-01T21:26:38.2446610Z     
2025-06-01T21:26:38.2446650Z     .. note::
2025-06-01T21:26:38.2446780Z         load_state_dict uses collectives to coordinate reads across ranks.
2025-06-01T21:26:38.2446900Z         For NCCL-based process groups, internal tensor representations of
2025-06-01T21:26:38.2447040Z         objects must be moved to the GPU device before communication takes place.
2025-06-01T21:26:38.2447170Z         In this case, the device used is given by ``torch.cuda.current_device()``
2025-06-01T21:26:38.2447310Z         and it is the user's responsibility to ensure that this is set so that each
2025-06-01T21:26:38.2447420Z         rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-06-01T21:26:38.2447460Z     
2025-06-01T21:26:38.2447670Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2447710Z     
2025-06-01T21:26:38.2447760Z       warnings.warn(msg)
2025-06-01T21:26:38.2447800Z     
2025-06-01T21:26:38.2447920Z --- Parse Warning: 56 / 118 ---
2025-06-01T21:26:38.2448710Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=221.
2025-06-01T21:26:38.2448860Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2448900Z     
2025-06-01T21:26:38.2449030Z     Load a state_dict in conjunction with FSDP sharded optimizer state.
2025-06-01T21:26:38.2449070Z     
2025-06-01T21:26:38.2449160Z     This is the current recommended way to checkpoint FSDP.
2025-06-01T21:26:38.2449210Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2449300Z     >>> import torch.distributed.checkpoint as dist_cp
2025-06-01T21:26:38.2449340Z     >>> # Save
2025-06-01T21:26:38.2449400Z     >>> model: torch.nn.Model
2025-06-01T21:26:38.2449460Z     >>> optim_params = model.parameters()
2025-06-01T21:26:38.2449540Z     >>> optim = torch.optim.SGD(optim_params, lr=0.01)
2025-06-01T21:26:38.2449590Z     >>> # Save
2025-06-01T21:26:38.2449710Z     >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT):
2025-06-01T21:26:38.2449760Z     >>>     state_dict = {
2025-06-01T21:26:38.2449860Z     >>>         "optimizer": FSDP.optim_state_dict(model, optim),
2025-06-01T21:26:38.2449920Z     >>>         "model": model.state_dict()
2025-06-01T21:26:38.2449960Z     >>>     }
2025-06-01T21:26:38.2450010Z     >>>     dist_cp.save_state_dict(
2025-06-01T21:26:38.2450070Z     >>>         state_dict=optim_state,
2025-06-01T21:26:38.2450180Z     >>>         storage_writer=dist_cp.FileSystemWriter("checkpoint"),
2025-06-01T21:26:38.2450260Z     >>>         planner=dist_cp.DefaultSavePlanner(),
2025-06-01T21:26:38.2450300Z     >>>     )
2025-06-01T21:26:38.2450330Z     >>>
2025-06-01T21:26:38.2450380Z     >>> # Load
2025-06-01T21:26:38.2450510Z     >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT):
2025-06-01T21:26:38.2450580Z     >>>     model_state_dict = model_tp.state_dict()
2025-06-01T21:26:38.2450630Z     >>>     checkpoint = {
2025-06-01T21:26:38.2450740Z     >>>         "model": model_state_dict
2025-06-01T21:26:38.2450780Z     >>>     }
2025-06-01T21:26:38.2450840Z     >>>     dist_cp.load_state_dict(
2025-06-01T21:26:38.2450890Z     >>>         state_dict=checkpoint,
2025-06-01T21:26:38.2451010Z     >>>         storage_reader=dist_cp.FileSystemReader(checkpoint_file),
2025-06-01T21:26:38.2451080Z     >>>         planner=dist_cp.DefaultLoadPlanner(),
2025-06-01T21:26:38.2451120Z     >>>     )
2025-06-01T21:26:38.2451210Z     >>>     model.load_state_dict(checkpoint["model_state"])
2025-06-01T21:26:38.2451250Z     >>>
2025-06-01T21:26:38.2451380Z     >>>     optim_state = dist_cp.load_sharded_optimizer_state_dict(
2025-06-01T21:26:38.2451460Z     >>>         model_state_dict,
2025-06-01T21:26:38.2451530Z     >>>         optimizer_key="optimizer",
2025-06-01T21:26:38.2451630Z     >>>         storage_reader=dist_cp.FileSystemReader("checkpoint"),
2025-06-01T21:26:38.2451670Z     >>>     )
2025-06-01T21:26:38.2451710Z     >>>
2025-06-01T21:26:38.2451800Z     >>>     flattened_osd = FSDP.optim_state_dict_to_load(
2025-06-01T21:26:38.2451870Z     >>>        model, optim, optim_state["optimizer"]
2025-06-01T21:26:38.2451910Z     >>>     )
2025-06-01T21:26:38.2451950Z     >>>
2025-06-01T21:26:38.2452020Z     >>>     optim.load_state_dict(flattened_osd)
2025-06-01T21:26:38.2452060Z     
2025-06-01T21:26:38.2452200Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2452240Z     
2025-06-01T21:26:38.2452290Z       warnings.warn(msg)
2025-06-01T21:26:38.2452350Z     
2025-06-01T21:26:38.2452450Z --- Parse Warning: 57 / 118 ---
2025-06-01T21:26:38.2453210Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.__init__ in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=129.
2025-06-01T21:26:38.2453370Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2453400Z     
2025-06-01T21:26:38.2453540Z     RemoteModule instance can only be created after RPC initialization.
2025-06-01T21:26:38.2453570Z     
2025-06-01T21:26:38.2453690Z     It creates a user-specified module on a specified remote node.
2025-06-01T21:26:38.2453830Z     It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-06-01T21:26:38.2453890Z     executed on the remote node.
2025-06-01T21:26:38.2454020Z     It takes care of autograd recording to ensure the backward pass propagates
2025-06-01T21:26:38.2454110Z     gradients back to the corresponding remote module.
2025-06-01T21:26:38.2454320Z     It can be shared across processors using `RPC framework <https://pytorch.org/docs/stable/rpc.html>`__,
2025-06-01T21:26:38.2454440Z     without incurring any overheads of copying the actual module,
2025-06-01T21:26:38.2454560Z     which is equivalent to an :class:`~torch.distributed.rpc.RRef`
2025-06-01T21:26:38.2454620Z     pointing to the remote module.
2025-06-01T21:26:38.2454650Z     
2025-06-01T21:26:38.2454770Z     The arguments of ``forward_async`` and ``forward`` are the same as
2025-06-01T21:26:38.2454890Z     the ``forward`` method of the module returned by the ``module_cls``.
2025-06-01T21:26:38.2454930Z     
2025-06-01T21:26:38.2455110Z     Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now.
2025-06-01T21:26:38.2455150Z     
2025-06-01T21:26:38.2455300Z     Particularly, to create a hybrid model, typically the local modules should be
2025-06-01T21:26:38.2455520Z     created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``).
2025-06-01T21:26:38.2455570Z     Hybrid Example:
2025-06-01T21:26:38.2455630Z             >>> class HybridModel(nn.Module):
2025-06-01T21:26:38.2455700Z             >>>     def __init__(self) -> None:
2025-06-01T21:26:38.2455760Z             >>>         nn.Module.__init__(self)
2025-06-01T21:26:38.2455870Z             >>>         self.remote_embedding = RemoteModule(...)
2025-06-01T21:26:38.2455940Z             >>>         self.local_linear = nn.Linear(...)
2025-06-01T21:26:38.2455980Z     
2025-06-01T21:26:38.2456100Z     For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-06-01T21:26:38.2456250Z     that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``,
2025-06-01T21:26:38.2456370Z     the generated ``RemoteModule`` will have 2 methods in signature of
2025-06-01T21:26:38.2456450Z     ``def forward(input: Tensor) -> Tensor:`` and
2025-06-01T21:26:38.2456560Z     ``def forward_async(input: Tensor) -> Future[Tensor]:``.
2025-06-01T21:26:38.2456620Z     
2025-06-01T21:26:38.2456670Z     .. note::
2025-06-01T21:26:38.2456750Z         If the remote module is placed on a cuda device,
2025-06-01T21:26:38.2456890Z         any input CPU tensors will be automatically moved to the same cuda device,
2025-06-01T21:26:38.2457120Z         and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend.
2025-06-01T21:26:38.2457160Z     
2025-06-01T21:26:38.2457200Z     Args:
2025-06-01T21:26:38.2457380Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-06-01T21:26:38.2457550Z             The device can be a local device or a remote device specified by one of the following remote
2025-06-01T21:26:38.2457590Z             formats:
2025-06-01T21:26:38.2457650Z     
2025-06-01T21:26:38.2457740Z                 1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-06-01T21:26:38.2457840Z                 2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-06-01T21:26:38.2457880Z     
2025-06-01T21:26:38.2458020Z             In addition, the device field can be optional and the default value is "cpu".
2025-06-01T21:26:38.2458090Z         module_cls (nn.Module): For example,
2025-06-01T21:26:38.2458150Z             >>> class MyModule(nn.Module):
2025-06-01T21:26:38.2458200Z             >>>     def forward(input):
2025-06-01T21:26:38.2458260Z             >>>         return input + 1
2025-06-01T21:26:38.2458300Z             >>>
2025-06-01T21:26:38.2458350Z             >>> module_cls = MyModule
2025-06-01T21:26:38.2458470Z         args (Sequence, optional): args to be passed to ``module_cls``.
2025-06-01T21:26:38.2458590Z         kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-06-01T21:26:38.2458750Z         _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-06-01T21:26:38.2458900Z             to be created. The type object should be decorated by @torch.jit.interface.
2025-06-01T21:26:38.2459030Z             If not provided, the generated RemoteModule is not torchscript-able.
2025-06-01T21:26:38.2459170Z             Warning, this is an experimental API and susceptible to frequent changes.
2025-06-01T21:26:38.2459210Z     
2025-06-01T21:26:38.2459250Z     Returns:
2025-06-01T21:26:38.2459400Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-06-01T21:26:38.2459530Z         user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-06-01T21:26:38.2459690Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-06-01T21:26:38.2459780Z         on the user-provided module on the remote side.
2025-06-01T21:26:38.2459820Z     
2025-06-01T21:26:38.2459860Z     Example::
2025-06-01T21:26:38.2459950Z         Run the following code in two different processes:
2025-06-01T21:26:38.2459990Z     
2025-06-01T21:26:38.2460050Z         >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:38.2460100Z         >>> # On worker 0:
2025-06-01T21:26:38.2460150Z         >>> import torch
2025-06-01T21:26:38.2460220Z         >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:38.2460280Z         >>> from torch import nn, Tensor
2025-06-01T21:26:38.2460410Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-06-01T21:26:38.2460480Z         >>>
2025-06-01T21:26:38.2460560Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-06-01T21:26:38.2460630Z         >>> remote_linear_module = RemoteModule(
2025-06-01T21:26:38.2460710Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-06-01T21:26:38.2460750Z         >>> )
2025-06-01T21:26:38.2460800Z         >>> input = torch.randn(128, 20)
2025-06-01T21:26:38.2460900Z         >>> ret_fut = remote_linear_module.forward_async(input)
2025-06-01T21:26:38.2460950Z         >>> ret = ret_fut.wait()
2025-06-01T21:26:38.2461000Z         >>> rpc.shutdown()
2025-06-01T21:26:38.2461060Z     
2025-06-01T21:26:38.2461130Z         >>> # On worker 1:
2025-06-01T21:26:38.2461180Z         >>> import torch
2025-06-01T21:26:38.2461250Z         >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:38.2461290Z         >>>
2025-06-01T21:26:38.2461370Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-06-01T21:26:38.2461420Z         >>> rpc.shutdown()
2025-06-01T21:26:38.2461450Z     
2025-06-01T21:26:38.2461600Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2461640Z     
2025-06-01T21:26:38.2461690Z       warnings.warn(msg)
2025-06-01T21:26:38.2461730Z     
2025-06-01T21:26:38.2461820Z --- Parse Warning: 58 / 118 ---
2025-06-01T21:26:38.2462660Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=506.
2025-06-01T21:26:38.2462820Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2462860Z     
2025-06-01T21:26:38.2463050Z     Besides the constructor, a RemoteModule instance can also be initialized given a module RRef.
2025-06-01T21:26:38.2463090Z     
2025-06-01T21:26:38.2463270Z     This alternate initialization method can be particularly useful if we want to create multiple
2025-06-01T21:26:38.2463450Z     RemoteModule instances that share the same underlying module and reduce memory consumption.
2025-06-01T21:26:38.2463490Z     
2025-06-01T21:26:38.2463660Z     Moreover, this also provides a workaround for passing script RemoteModule over RPC,
2025-06-01T21:26:38.2463760Z     which is not supported. The recommended way is as follows:
2025-06-01T21:26:38.2463800Z     
2025-06-01T21:26:38.2463870Z         1. the sender creates a RemoteModule;
2025-06-01T21:26:38.2463960Z         2. the sender sends its ``module_rref`` over RPC;
2025-06-01T21:26:38.2464150Z         3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``.
2025-06-01T21:26:38.2464190Z     
2025-06-01T21:26:38.2464240Z     Example::
2025-06-01T21:26:38.2464320Z         Run the following code in two different processes:
2025-06-01T21:26:38.2464360Z     
2025-06-01T21:26:38.2464430Z         >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:38.2464470Z         >>> # On worker 0:
2025-06-01T21:26:38.2464520Z         >>> import torch
2025-06-01T21:26:38.2464590Z         >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:38.2464650Z         >>> from torch import nn, Tensor
2025-06-01T21:26:38.2464780Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-06-01T21:26:38.2464820Z         >>>
2025-06-01T21:26:38.2464900Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-06-01T21:26:38.2464960Z         >>> remote_module = RemoteModule(
2025-06-01T21:26:38.2465040Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-06-01T21:26:38.2465080Z         >>> )
2025-06-01T21:26:38.2465120Z         >>>
2025-06-01T21:26:38.2465180Z         >>> remote_module1 = rpc.rpc_sync(
2025-06-01T21:26:38.2465230Z         >>>     "worker1/cpu",
2025-06-01T21:26:38.2465300Z         >>>     RemoteModule.init_from_module_rref,
2025-06-01T21:26:38.2465420Z         >>>     ("worker1/cpu", remote_module1.get_module_rref()),
2025-06-01T21:26:38.2465460Z         >>> )
2025-06-01T21:26:38.2465510Z         >>> rpc.shutdown()
2025-06-01T21:26:38.2465550Z     
2025-06-01T21:26:38.2465600Z         >>> # On worker 1:
2025-06-01T21:26:38.2465640Z         >>> import torch
2025-06-01T21:26:38.2465720Z         >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:38.2465750Z         >>>
2025-06-01T21:26:38.2465840Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-06-01T21:26:38.2465890Z         >>> rpc.shutdown()
2025-06-01T21:26:38.2465940Z     
2025-06-01T21:26:38.2466000Z     Args:
2025-06-01T21:26:38.2466170Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-06-01T21:26:38.2466350Z             The device can be a local device or a remote device specified by one of the following remote
2025-06-01T21:26:38.2466390Z             formats:
2025-06-01T21:26:38.2466430Z     
2025-06-01T21:26:38.2466510Z                 1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-06-01T21:26:38.2466610Z                 2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-06-01T21:26:38.2466640Z     
2025-06-01T21:26:38.2466790Z             In addition, the device field can be optional and the default value is "cpu".
2025-06-01T21:26:38.2466940Z         module_rref (RRef[nn.Module]): The module reference shared by both the caller and
2025-06-01T21:26:38.2467030Z             the created remote module.
2025-06-01T21:26:38.2467200Z         _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-06-01T21:26:38.2467340Z             to be created. The type object should be decorated by @torch.jit.interface.
2025-06-01T21:26:38.2467470Z             If not provided, the generated RemoteModule is not torchscript-able.
2025-06-01T21:26:38.2467610Z             Warning, this is an experimental API and susceptible to frequent changes.
2025-06-01T21:26:38.2467650Z     
2025-06-01T21:26:38.2467690Z     Returns:
2025-06-01T21:26:38.2467830Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-06-01T21:26:38.2467970Z         user-provided ``module_rref``, it has a blocking ``forward`` method and an
2025-06-01T21:26:38.2468130Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-06-01T21:26:38.2468220Z         on the user-provided module on the remote side.
2025-06-01T21:26:38.2468260Z     
2025-06-01T21:26:38.2468410Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2468450Z     
2025-06-01T21:26:38.2468500Z       warnings.warn(msg)
2025-06-01T21:26:38.2468540Z     
2025-06-01T21:26:38.2468640Z --- Parse Warning: 59 / 118 ---
2025-06-01T21:26:38.2469380Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RemoteModule in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=598.
2025-06-01T21:26:38.2469530Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2469570Z     
2025-06-01T21:26:38.2469710Z         A RemoteModule instance can only be created after RPC initialization.
2025-06-01T21:26:38.2469740Z     
2025-06-01T21:26:38.2469860Z         It creates a user-specified module on a specified remote node.
2025-06-01T21:26:38.2470000Z         It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-06-01T21:26:38.2470060Z         executed on the remote node.
2025-06-01T21:26:38.2470200Z         It takes care of autograd recording to ensure the backward pass propagates
2025-06-01T21:26:38.2470290Z         gradients back to the corresponding remote module.
2025-06-01T21:26:38.2470330Z     
2025-06-01T21:26:38.2470460Z         It generates two methods ``forward_async`` and ``forward`` based on the
2025-06-01T21:26:38.2470610Z         signature of the ``forward`` method of ``module_cls``. ``forward_async``
2025-06-01T21:26:38.2470760Z         runs asynchronously and returns a Future. The arguments of ``forward_async``
2025-06-01T21:26:38.2470880Z         and ``forward`` are the same as the ``forward`` method of the module
2025-06-01T21:26:38.2470940Z         returned by the ``module_cls``.
2025-06-01T21:26:38.2470970Z     
2025-06-01T21:26:38.2471090Z         For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-06-01T21:26:38.2471270Z         that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``,
2025-06-01T21:26:38.2471430Z         the generated ``RemoteModule`` will have 2 methods with the signatures:
2025-06-01T21:26:38.2471470Z     
2025-06-01T21:26:38.2471540Z         | ``def forward(input: Tensor) -> Tensor:``
2025-06-01T21:26:38.2471640Z         | ``def forward_async(input: Tensor) -> Future[Tensor]:``
2025-06-01T21:26:38.2471680Z     
2025-06-01T21:26:38.2471720Z     Args:
2025-06-01T21:26:38.2471900Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-06-01T21:26:38.2472110Z             The format should be "<workername>/<device>", where the device field can be parsed as torch.device type.
2025-06-01T21:26:38.2472190Z             E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0".
2025-06-01T21:26:38.2472350Z             In addition, the device field can be optional and the default value is "cpu".
2025-06-01T21:26:38.2472500Z         module_cls (nn.Module): Class for the module to be created remotely. For example,
2025-06-01T21:26:38.2472550Z     
2025-06-01T21:26:38.2472610Z             >>> class MyModule(nn.Module):
2025-06-01T21:26:38.2472660Z             >>>     def forward(input):
2025-06-01T21:26:38.2472710Z             >>>         return input + 1
2025-06-01T21:26:38.2472760Z             >>>
2025-06-01T21:26:38.2472810Z             >>> module_cls = MyModule
2025-06-01T21:26:38.2472850Z     
2025-06-01T21:26:38.2472970Z         args (Sequence, optional): args to be passed to ``module_cls``.
2025-06-01T21:26:38.2473080Z         kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-06-01T21:26:38.2473120Z     
2025-06-01T21:26:38.2473160Z     Returns:
2025-06-01T21:26:38.2473300Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-06-01T21:26:38.2473440Z         user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-06-01T21:26:38.2473600Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-06-01T21:26:38.2473690Z         on the user-provided module on the remote side.
2025-06-01T21:26:38.2473730Z     
2025-06-01T21:26:38.2473770Z     Example::
2025-06-01T21:26:38.2473860Z         Run the following code in two different processes:
2025-06-01T21:26:38.2473900Z     
2025-06-01T21:26:38.2473960Z         >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:38.2474010Z         >>> # On worker 0:
2025-06-01T21:26:38.2474050Z         >>> import torch
2025-06-01T21:26:38.2474130Z         >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:38.2474180Z         >>> from torch import nn, Tensor
2025-06-01T21:26:38.2474320Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-06-01T21:26:38.2474350Z         >>>
2025-06-01T21:26:38.2474440Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-06-01T21:26:38.2474510Z         >>> remote_linear_module = RemoteModule(
2025-06-01T21:26:38.2474590Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-06-01T21:26:38.2474630Z         >>> )
2025-06-01T21:26:38.2474690Z         >>> input = torch.randn(128, 20)
2025-06-01T21:26:38.2474780Z         >>> ret_fut = remote_linear_module.forward_async(input)
2025-06-01T21:26:38.2474830Z         >>> ret = ret_fut.wait()
2025-06-01T21:26:38.2474880Z         >>> rpc.shutdown()
2025-06-01T21:26:38.2474940Z     
2025-06-01T21:26:38.2474990Z         >>> # On worker 1:
2025-06-01T21:26:38.2475030Z         >>> import torch
2025-06-01T21:26:38.2475100Z         >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:38.2475140Z         >>>
2025-06-01T21:26:38.2475220Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-06-01T21:26:38.2475270Z         >>> rpc.shutdown()
2025-06-01T21:26:38.2475310Z     
2025-06-01T21:26:38.2475420Z         Furthermore, a more practical example that is combined with
2025-06-01T21:26:38.2475720Z         `DistributedDataParallel <https://pytorch.org/docs/stable/nn.html#torch.nn.parallel.DistributedDataParallel>`__ (DDP)
2025-06-01T21:26:38.2475940Z         can be found in this `tutorial <https://pytorch.org/tutorials/advanced/rpc_ddp_tutorial.html>`__.
2025-06-01T21:26:38.2475980Z     
2025-06-01T21:26:38.2476120Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2476170Z     
2025-06-01T21:26:38.2476210Z       warnings.warn(msg)
2025-06-01T21:26:38.2476250Z     
2025-06-01T21:26:38.2476350Z --- Parse Warning: 60 / 118 ---
2025-06-01T21:26:38.2477140Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=construct_and_record_rdzv_event in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/elastic/events/__init__.py line=94.
2025-06-01T21:26:38.2477320Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2477360Z     
2025-06-01T21:26:38.2477480Z     Initialize rendezvous event object and record its operations.
2025-06-01T21:26:38.2477520Z     
2025-06-01T21:26:38.2477560Z     Args:
2025-06-01T21:26:38.2477630Z         run_id (str): The run id of the rendezvous.
2025-06-01T21:26:38.2477720Z         message (str): The message describing the event.
2025-06-01T21:26:38.2477870Z         node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED).
2025-06-01T21:26:38.2477980Z         name (str): Event name. (E.g. Current action being performed).
2025-06-01T21:26:38.2478050Z         hostname (str): Hostname of the node.
2025-06-01T21:26:38.2478130Z         pid (Optional[int]): The process id of the node.
2025-06-01T21:26:38.2478270Z         master_endpoint (str): The master endpoint for the rendezvous store, if known.
2025-06-01T21:26:38.2478440Z         local_id (Optional[int]):  The local_id of the node, if defined in dynamic_rendezvous.py
2025-06-01T21:26:38.2478530Z         rank (Optional[int]): The rank of the node, if known.
2025-06-01T21:26:38.2478580Z     Returns:
2025-06-01T21:26:38.2478620Z         None
2025-06-01T21:26:38.2478660Z     Example:
2025-06-01T21:26:38.2478730Z         >>> # See DynamicRendezvousHandler class
2025-06-01T21:26:38.2478780Z         >>> def _record(
2025-06-01T21:26:38.2478820Z         ...     self,
2025-06-01T21:26:38.2478870Z         ...     message: str,
2025-06-01T21:26:38.2478950Z         ...     node_state: NodeState = NodeState.RUNNING,
2025-06-01T21:26:38.2479010Z         ...     rank: Optional[int] = None,
2025-06-01T21:26:38.2479060Z         ... ) -> None:
2025-06-01T21:26:38.2479120Z         ...     construct_and_record_rdzv_event(
2025-06-01T21:26:38.2479230Z         ...         name=f"{self.__class__.__name__}.{get_method_name()}",
2025-06-01T21:26:38.2479290Z         ...         run_id=self._settings.run_id,
2025-06-01T21:26:38.2479350Z         ...         message=message,
2025-06-01T21:26:38.2479400Z         ...         node_state=node_state,
2025-06-01T21:26:38.2479470Z         ...         hostname=self._this_node.addr,
2025-06-01T21:26:38.2479540Z         ...         pid=self._this_node.pid,
2025-06-01T21:26:38.2479610Z         ...         local_id=self._this_node.local_id,
2025-06-01T21:26:38.2479660Z         ...         rank=rank,
2025-06-01T21:26:38.2479700Z         ...     )
2025-06-01T21:26:38.2479740Z     
2025-06-01T21:26:38.2479920Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2479960Z     
2025-06-01T21:26:38.2480000Z       warnings.warn(msg)
2025-06-01T21:26:38.2480040Z     
2025-06-01T21:26:38.2480140Z --- Parse Warning: 61 / 118 ---
2025-06-01T21:26:38.2480880Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_CustomReducer in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py line=29.
2025-06-01T21:26:38.2481060Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2481120Z     
2025-06-01T21:26:38.2481260Z     Custom reducer class that can be used to specify a custom operation that
2025-06-01T21:26:38.2481360Z     reduces losses of multiple microbatches into one value.
2025-06-01T21:26:38.2481400Z     
2025-06-01T21:26:38.2481440Z     Example:
2025-06-01T21:26:38.2481490Z     >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2481550Z     >>> sum_reducer = _CustomReducer(
2025-06-01T21:26:38.2481600Z     >>>     torch.tensor(0.0),
2025-06-01T21:26:38.2481650Z     >>>     lambda a, b: a + b
2025-06-01T21:26:38.2481690Z     >>> )
2025-06-01T21:26:38.2481730Z     
2025-06-01T21:26:38.2481880Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2481910Z     
2025-06-01T21:26:38.2482020Z       warnings.warn(msg)
2025-06-01T21:26:38.2482060Z     
2025-06-01T21:26:38.2482150Z --- Parse Warning: 62 / 118 ---
2025-06-01T21:26:38.2482960Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PeriodicModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38.
2025-06-01T21:26:38.2483120Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2483150Z     
2025-06-01T21:26:38.2483260Z     Averages parameters periodically after the warm-up stage.
2025-06-01T21:26:38.2483300Z     
2025-06-01T21:26:38.2483450Z     This can be used for running `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-06-01T21:26:38.2483560Z     by running :class:`~torch.nn.DistributedDataParallel` (DDP)
2025-06-01T21:26:38.2483700Z     using the subgroups created by :meth:`~torch.distributed.new_subgroups`.
2025-06-01T21:26:38.2483740Z     
2025-06-01T21:26:38.2483780Z     Args:
2025-06-01T21:26:38.2483890Z         period (int): The number of steps per model averaging.
2025-06-01T21:26:38.2484050Z                       Usually the period should be greater than ``1`` to reduce the communication cost.
2025-06-01T21:26:38.2484130Z                       Otherwise, only DDP needs to be used.
2025-06-01T21:26:38.2484250Z         warmup_steps (int): The number of warm-up steps. During this stage,
2025-06-01T21:26:38.2484330Z                             model averaging is skipped.
2025-06-01T21:26:38.2484440Z         process_group: The process group to be used for all-reduce.
2025-06-01T21:26:38.2484530Z                        If ``None``, the default process group, which
2025-06-01T21:26:38.2484640Z                        is created by :func:`torch.distributed.init_process_group`,
2025-06-01T21:26:38.2484720Z                        will be used. (default: ``None``)
2025-06-01T21:26:38.2484750Z     
2025-06-01T21:26:38.2484800Z     Example::
2025-06-01T21:26:38.2484830Z     
2025-06-01T21:26:38.2484910Z         >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2484960Z         >>> import torch
2025-06-01T21:26:38.2485020Z         >>> import torch.distributed as dist
2025-06-01T21:26:38.2485210Z         >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD
2025-06-01T21:26:38.2485400Z         >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-06-01T21:26:38.2485460Z         >>> import torch.nn as nn
2025-06-01T21:26:38.2485490Z         >>>
2025-06-01T21:26:38.2485600Z         >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-06-01T21:26:38.2485660Z         >>> torch.cuda.set_device(rank)
2025-06-01T21:26:38.2485740Z         >>> module = nn.Linear(1, 1, bias=False).cuda()
2025-06-01T21:26:38.2485830Z         >>> model = nn.parallel.DistributedDataParallel(
2025-06-01T21:26:38.2485910Z         >>>    module, device_ids=[rank], output_device=rank
2025-06-01T21:26:38.2485970Z         >>> )
2025-06-01T21:26:38.2486070Z         >>> # Register a post-localSGD communication hook.
2025-06-01T21:26:38.2486240Z         >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-06-01T21:26:38.2486340Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-06-01T21:26:38.2486380Z         >>>
2025-06-01T21:26:38.2486540Z         >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-06-01T21:26:38.2486640Z         >>> # After 100 steps, run model averaging every 4 steps.
2025-06-01T21:26:38.2486830Z         >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-06-01T21:26:38.2486980Z         >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-06-01T21:26:38.2487070Z         >>> for step in range(0, 200):
2025-06-01T21:26:38.2487130Z         >>>    optimizer.zero_grad()
2025-06-01T21:26:38.2487200Z         >>>    loss = loss_fn(output, labels)
2025-06-01T21:26:38.2487250Z         >>>    loss.backward()
2025-06-01T21:26:38.2487310Z         >>>    optimizer.step()
2025-06-01T21:26:38.2487420Z         >>>    # Will average model parameters globally every 4 steps. Thus,
2025-06-01T21:26:38.2487540Z         >>>    # inter-node communication only occurs every 4 iterations after
2025-06-01T21:26:38.2487620Z         >>>    # the initial ``warmup_steps`` period.
2025-06-01T21:26:38.2487710Z         >>>    averager.average_parameters(model.parameters())
2025-06-01T21:26:38.2487750Z     
2025-06-01T21:26:38.2487900Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2487930Z     
2025-06-01T21:26:38.2487980Z       warnings.warn(msg)
2025-06-01T21:26:38.2488020Z     
2025-06-01T21:26:38.2488120Z --- Parse Warning: 63 / 118 ---
2025-06-01T21:26:38.2488990Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=HierarchicalModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19.
2025-06-01T21:26:38.2489150Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2489190Z     
2025-06-01T21:26:38.2489380Z     Runs hierarchical model averaging (`hierarchical SGD <https://arxiv.org/pdf/2010.12998.pdf>`_).
2025-06-01T21:26:38.2489420Z     
2025-06-01T21:26:38.2489600Z     Process groups of different sizes are organized in a hierarchy, and they average parameters
2025-06-01T21:26:38.2489720Z     by using different periods concurrently after the warm-up stage.
2025-06-01T21:26:38.2489960Z     This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`
2025-06-01T21:26:38.2490160Z     that supports `post-local SGD <https://arxiv.org/abs/1808.07217>`_, which essentially only supports
2025-06-01T21:26:38.2490350Z     a two-level hierarchy: the intra-machine level and the global level, where the intra-machine
2025-06-01T21:26:38.2490550Z     level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`.
2025-06-01T21:26:38.2490730Z     Similarly, the process groups within this class do not have such an intra-machine process
2025-06-01T21:26:38.2490920Z     subgroup, which should be embedded by the post-local SGD communication hook instead.
2025-06-01T21:26:38.2490960Z     
2025-06-01T21:26:38.2490990Z     Args:
2025-06-01T21:26:38.2491150Z         period_group_size_dict: An ordered dict mapping keys of model averaging period to
2025-06-01T21:26:38.2491270Z                                 process group size, used for initializing process groups of
2025-06-01T21:26:38.2491410Z                                 different sizes in a hierarchy to average parameters concurrently.
2025-06-01T21:26:38.2491570Z                                 Particularly, at each iteration, there will be at most a single
2025-06-01T21:26:38.2491740Z                                 process group that runs averaging -- the period of such group should
2025-06-01T21:26:38.2491870Z                                 have the largest period which the current step can be divided by.
2025-06-01T21:26:38.2491980Z                                 For example, if the dict has three keys: 2, 4, and 8,
2025-06-01T21:26:38.2492100Z                                 then this means totally three process groups will be created to
2025-06-01T21:26:38.2492220Z                                 average parameters every 2, 4, and 8 iterations, respectively.
2025-06-01T21:26:38.2492340Z                                 At the 4th iteration, only the second process group will run
2025-06-01T21:26:38.2492470Z                                 averaging, because the first process group should be a
2025-06-01T21:26:38.2492610Z                                 subset of the second process group, and no need to execute the first
2025-06-01T21:26:38.2492690Z                                 process group redundantly.
2025-06-01T21:26:38.2492810Z                                 On the other hand, the third process group can only be triggered
2025-06-01T21:26:38.2492940Z                                 every 8 iterations, so it will not be triggered at the 4th iteration.
2025-06-01T21:26:38.2493130Z         warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped.
2025-06-01T21:26:38.2493380Z         process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging.
2025-06-01T21:26:38.2493500Z                                                 If ``None``, the default process group, which is created
2025-06-01T21:26:38.2493620Z                                                 by :func:`torch.distributed.init_process_group`, will be used.
2025-06-01T21:26:38.2493710Z                                                 (default: ``None``)
2025-06-01T21:26:38.2493740Z     
2025-06-01T21:26:38.2493790Z     Example::
2025-06-01T21:26:38.2493860Z         >>> # xdoctest: +SKIP('undefined rank')
2025-06-01T21:26:38.2493930Z         >>> from collections import OrderedDict
2025-06-01T21:26:38.2493970Z         >>> import torch
2025-06-01T21:26:38.2494040Z         >>> import torch.distributed as dist
2025-06-01T21:26:38.2494200Z         >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-06-01T21:26:38.2494260Z         >>>     PostLocalSGDState,
2025-06-01T21:26:38.2494320Z         >>>     post_localSGD_hook,
2025-06-01T21:26:38.2494360Z         >>> )
2025-06-01T21:26:38.2494570Z         >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD
2025-06-01T21:26:38.2494630Z         >>> import torch.nn as nn
2025-06-01T21:26:38.2494670Z         >>>
2025-06-01T21:26:38.2494770Z         >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-06-01T21:26:38.2494840Z         >>> torch.cuda.set_device(rank)
2025-06-01T21:26:38.2494920Z         >>> module = nn.Linear(1, 1, bias=False).to(rank)
2025-06-01T21:26:38.2495020Z         >>> model = nn.parallel.DistributedDataParallel(
2025-06-01T21:26:38.2495100Z         >>>    module, device_ids=[rank], output_device=rank
2025-06-01T21:26:38.2495190Z         >>> )
2025-06-01T21:26:38.2495270Z         >>> # Register a post-localSGD communication hook.
2025-06-01T21:26:38.2495440Z         >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4.
2025-06-01T21:26:38.2495500Z         >>> subgroup, _ = dist.new_subgroups()
2025-06-01T21:26:38.2495690Z         >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100)
2025-06-01T21:26:38.2495780Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-06-01T21:26:38.2495830Z         >>>
2025-06-01T21:26:38.2496010Z         >>> # Average parameters among each group of 8 processes every 4 iterations, and among all
2025-06-01T21:26:38.2496110Z         >>> # the 16 processes every 16 iterations.
2025-06-01T21:26:38.2496220Z         >>> averager = hierarchicalSGD.HierarchicalModelAverager(
2025-06-01T21:26:38.2496360Z         >>>     period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100)
2025-06-01T21:26:38.2496550Z         >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-06-01T21:26:38.2496710Z         >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-06-01T21:26:38.2496810Z         >>> # After 100 steps, run model averaging at two levels.
2025-06-01T21:26:38.2496860Z         >>> for step in range(0, 200):
2025-06-01T21:26:38.2496920Z         >>>    optimizer.zero_grad()
2025-06-01T21:26:38.2497010Z         >>>    loss = loss_fn(output, labels)
2025-06-01T21:26:38.2497060Z         >>>    loss.backward()
2025-06-01T21:26:38.2497110Z         >>>    optimizer.step()
2025-06-01T21:26:38.2497210Z         >>>    # Average parameters after ``optimizer.step()``.
2025-06-01T21:26:38.2497370Z         >>>    # Thus, the inter-node communication only occurs periodically after ``warmup_steps``.
2025-06-01T21:26:38.2497470Z         >>>    averager.average_parameters(model.parameters())
2025-06-01T21:26:38.2497510Z     
2025-06-01T21:26:38.2497560Z     .. warning ::
2025-06-01T21:26:38.2497700Z         The last group size in the dict must be the size of the provided ``process_group``,
2025-06-01T21:26:38.2497850Z         which indicates model averaging at the highest level of the hierarchy.
2025-06-01T21:26:38.2500840Z         If ``process_group`` is not provided, then the last group size should be equal to the world size.
2025-06-01T21:26:38.2500900Z     
2025-06-01T21:26:38.2500950Z     .. warning ::
2025-06-01T21:26:38.2501090Z         `HierarchicalModelAverager` is experimental and subject to change.
2025-06-01T21:26:38.2501130Z     
2025-06-01T21:26:38.2501280Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2501320Z     
2025-06-01T21:26:38.2501370Z       warnings.warn(msg)
2025-06-01T21:26:38.2501410Z     
2025-06-01T21:26:38.2501530Z --- Parse Warning: 64 / 118 ---
2025-06-01T21:26:38.2502340Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=post_localSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72.
2025-06-01T21:26:38.2502500Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2502540Z     
2025-06-01T21:26:38.2502600Z     Run post-localSGD algorithm.
2025-06-01T21:26:38.2502630Z     
2025-06-01T21:26:38.2502770Z     This DDP communication hook is used for running post-localSGD algorithm,
2025-06-01T21:26:38.2502870Z     by combining with a model averaging component (e.g.,
2025-06-01T21:26:38.2503060Z     :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`)
2025-06-01T21:26:38.2503130Z     that runs after the optimizer step.
2025-06-01T21:26:38.2503170Z     
2025-06-01T21:26:38.2503210Z     Args:
2025-06-01T21:26:38.2503340Z         state (PostLocalSGDState): State information to run post-localSGD.
2025-06-01T21:26:38.2503600Z             Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD.
2025-06-01T21:26:38.2503850Z         bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-06-01T21:26:38.2504000Z             Note that since DDP comm hook only supports single process single device mode,
2025-06-01T21:26:38.2504090Z             only exactly one tensor is stored in this bucket.
2025-06-01T21:26:38.2504130Z     
2025-06-01T21:26:38.2504170Z     Returns:
2025-06-01T21:26:38.2504330Z         Future handler of the communication, which updates the gradients in place.
2025-06-01T21:26:38.2504390Z     
2025-06-01T21:26:38.2504430Z     Example::
2025-06-01T21:26:38.2504490Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2504630Z         >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup,
2025-06-01T21:26:38.2504710Z                                   start_localSGD_iter=10)
2025-06-01T21:26:38.2504810Z         >>> ddp_model.register_comm_hook(state, post_localSGD_hook)
2025-06-01T21:26:38.2505010Z         >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``.
2025-06-01T21:26:38.2505210Z         >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module.
2025-06-01T21:26:38.2505250Z     
2025-06-01T21:26:38.2505420Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2505460Z     
2025-06-01T21:26:38.2505510Z       warnings.warn(msg)
2025-06-01T21:26:38.2505550Z     
2025-06-01T21:26:38.2505650Z --- Parse Warning: 65 / 118 ---
2025-06-01T21:26:38.2506470Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=powerSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342.
2025-06-01T21:26:38.2506630Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2506670Z     
2025-06-01T21:26:38.2506720Z     Implement PowerSGD algorithm.
2025-06-01T21:26:38.2506760Z     
2025-06-01T21:26:38.2506900Z     This DDP communication hook implements PowerSGD gradient compression
2025-06-01T21:26:38.2507040Z     algorithm described in the `paper <https://arxiv.org/abs/1905.13727>`_.
2025-06-01T21:26:38.2507180Z     Once gradient tensors are aggregated across all workers, this hook applies
2025-06-01T21:26:38.2507230Z     compression as follows:
2025-06-01T21:26:38.2507270Z     
2025-06-01T21:26:38.2507530Z     1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups:
2025-06-01T21:26:38.2507570Z     
2025-06-01T21:26:38.2507810Z         1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth.
2025-06-01T21:26:38.2507850Z     
2025-06-01T21:26:38.2508080Z         1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases).
2025-06-01T21:26:38.2508120Z     
2025-06-01T21:26:38.2508180Z     2. Handles uncompressed tensors:
2025-06-01T21:26:38.2508220Z     
2025-06-01T21:26:38.2508510Z         2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression;
2025-06-01T21:26:38.2508550Z     
2025-06-01T21:26:38.2508750Z         2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor.
2025-06-01T21:26:38.2508790Z     
2025-06-01T21:26:38.2508930Z     3. Handles the tensors that should be compressed by PowerSGD compression:
2025-06-01T21:26:38.2508970Z     
2025-06-01T21:26:38.2509110Z         3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M,
2025-06-01T21:26:38.2509340Z         such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized;
2025-06-01T21:26:38.2509390Z     
2025-06-01T21:26:38.2509470Z         3.2. Computes each P in Ps, which is equal to MQ;
2025-06-01T21:26:38.2509510Z     
2025-06-01T21:26:38.2509570Z         3.3. Allreduces Ps as a batch;
2025-06-01T21:26:38.2509610Z     
2025-06-01T21:26:38.2509670Z         3.4. Orthogonalizes each P in Ps;
2025-06-01T21:26:38.2509710Z     
2025-06-01T21:26:38.2509840Z         3.5. Computes each Q in Qs, which is approximately equal to M^TP;
2025-06-01T21:26:38.2509900Z     
2025-06-01T21:26:38.2509950Z         3.6. Allreduces Qs as a batch;
2025-06-01T21:26:38.2509990Z     
2025-06-01T21:26:38.2510160Z         3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T.
2025-06-01T21:26:38.2510200Z     
2025-06-01T21:26:38.2510440Z     Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations.
2025-06-01T21:26:38.2510610Z     This not only gives the user more control over the tradeoff between speedup and accuracy,
2025-06-01T21:26:38.2510860Z     but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers.
2025-06-01T21:26:38.2510900Z     
2025-06-01T21:26:38.2510940Z     Args:
2025-06-01T21:26:38.2511220Z         state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc.
2025-06-01T21:26:38.2511440Z             To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter``
2025-06-01T21:26:38.2511500Z             and ``min_compression_rate``.
2025-06-01T21:26:38.2511740Z         bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-06-01T21:26:38.2511890Z             Note that since DDP comm hook only supports single process single device mode,
2025-06-01T21:26:38.2511980Z             only exactly one tensor is stored in this bucket.
2025-06-01T21:26:38.2512020Z     
2025-06-01T21:26:38.2512060Z     Returns:
2025-06-01T21:26:38.2512210Z         Future handler of the communication, which updates the gradients in place.
2025-06-01T21:26:38.2512240Z     
2025-06-01T21:26:38.2512290Z     Example::
2025-06-01T21:26:38.2512330Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2512500Z         >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1,
2025-06-01T21:26:38.2512600Z                                   start_powerSGD_iter=10, min_compression_rate=0.5)
2025-06-01T21:26:38.2512700Z         >>> ddp_model.register_comm_hook(state, powerSGD_hook)
2025-06-01T21:26:38.2512730Z     
2025-06-01T21:26:38.2512880Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2512920Z     
2025-06-01T21:26:38.2512970Z       warnings.warn(msg)
2025-06-01T21:26:38.2513010Z     
2025-06-01T21:26:38.2513110Z --- Parse Warning: 66 / 118 ---
2025-06-01T21:26:38.2513910Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PostLocalSGDOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9.
2025-06-01T21:26:38.2514070Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2514100Z     
2025-06-01T21:26:38.2514330Z     Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-06-01T21:26:38.2514420Z     This optimizer runs local optimizer at every step.
2025-06-01T21:26:38.2514620Z     After the warm-up stage, it averages parameters periodically afer the local optimizer is applied.
2025-06-01T21:26:38.2514680Z     
2025-06-01T21:26:38.2514720Z     Args:
2025-06-01T21:26:38.2514780Z         optim: The local optimizer.
2025-06-01T21:26:38.2514910Z         averager: A model averager instance to run post-localSGD algorithm.
2025-06-01T21:26:38.2514950Z     
2025-06-01T21:26:38.2514990Z     Example::
2025-06-01T21:26:38.2515030Z     
2025-06-01T21:26:38.2515110Z         >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2515150Z         >>> import torch
2025-06-01T21:26:38.2515220Z         >>> import torch.distributed as dist
2025-06-01T21:26:38.2515410Z         >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-06-01T21:26:38.2515490Z         >>> import torch.nn as nn
2025-06-01T21:26:38.2515610Z         >>> from torch.distributed.optim import PostLocalSGDOptimizer
2025-06-01T21:26:38.2515770Z         >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-06-01T21:26:38.2515830Z         >>>   PostLocalSGDState,
2025-06-01T21:26:38.2515880Z         >>>   post_localSGD_hook,
2025-06-01T21:26:38.2515920Z         >>> )
2025-06-01T21:26:38.2515960Z         >>>
2025-06-01T21:26:38.2516050Z         >>> model = nn.parallel.DistributedDataParallel(
2025-06-01T21:26:38.2516130Z         >>>    module, device_ids=[rank], output_device=rank
2025-06-01T21:26:38.2516170Z         >>> )
2025-06-01T21:26:38.2516220Z         >>>
2025-06-01T21:26:38.2516300Z         >>> # Register a post-localSGD communication hook.
2025-06-01T21:26:38.2516500Z         >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-06-01T21:26:38.2516600Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-06-01T21:26:38.2516640Z         >>>
2025-06-01T21:26:38.2516760Z         >>> # Create a post-localSGD optimizer that wraps a local optimizer.
2025-06-01T21:26:38.2516910Z         >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as
2025-06-01T21:26:38.2517010Z         >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-06-01T21:26:38.2517140Z         >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01)
2025-06-01T21:26:38.2517210Z         >>> opt = PostLocalSGDOptimizer(
2025-06-01T21:26:38.2517260Z         >>>     optim=local_optim,
2025-06-01T21:26:38.2517410Z         >>>     averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-06-01T21:26:38.2517450Z         >>> )
2025-06-01T21:26:38.2517490Z         >>>
2025-06-01T21:26:38.2517620Z         >>> # In the first 100 steps, DDP runs global gradient averaging at every step.
2025-06-01T21:26:38.2517800Z         >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default),
2025-06-01T21:26:38.2518020Z         >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer.
2025-06-01T21:26:38.2518080Z         >>> for step in range(0, 200):
2025-06-01T21:26:38.2518130Z         >>>    opt.zero_grad()
2025-06-01T21:26:38.2518200Z         >>>    loss = loss_fn(output, labels)
2025-06-01T21:26:38.2518250Z         >>>    loss.backward()
2025-06-01T21:26:38.2518290Z         >>>    opt.step()
2025-06-01T21:26:38.2518330Z     
2025-06-01T21:26:38.2518480Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2518520Z     
2025-06-01T21:26:38.2518570Z       warnings.warn(msg)
2025-06-01T21:26:38.2518610Z     
2025-06-01T21:26:38.2518700Z --- Parse Warning: 67 / 118 ---
2025-06-01T21:26:38.2519450Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=129.
2025-06-01T21:26:38.2519610Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2519670Z     
2025-06-01T21:26:38.2519810Z     DistributedOptimizer takes remote references to parameters scattered
2025-06-01T21:26:38.2519950Z     across workers and applies the given optimizer locally for each parameter.
2025-06-01T21:26:38.2519990Z     
2025-06-01T21:26:38.2520130Z     This class uses :meth:`~torch.distributed.autograd.get_gradients` in order
2025-06-01T21:26:38.2520220Z     to retrieve the gradients for specific parameters.
2025-06-01T21:26:38.2520260Z     
2025-06-01T21:26:38.2520300Z     Concurrent calls to
2025-06-01T21:26:38.2520430Z     :meth:`~torch.distributed.optim.DistributedOptimizer.step`,
2025-06-01T21:26:38.2520530Z     either from the same or different clients, will
2025-06-01T21:26:38.2520680Z     be serialized on each worker -- as each worker's optimizer can only work
2025-06-01T21:26:38.2520800Z     on one set of gradients at a time. However, there is no guarantee that
2025-06-01T21:26:38.2520950Z     the full forward-backward-optimizer sequence will execute for one client
2025-06-01T21:26:38.2521080Z     at a time. This means that the gradients being applied may not correspond
2025-06-01T21:26:38.2521210Z     to the latest forward pass executed on a given worker. Also, there is no
2025-06-01T21:26:38.2521270Z     guaranteed ordering across workers.
2025-06-01T21:26:38.2521310Z     
2025-06-01T21:26:38.2521460Z     `DistributedOptimizer` creates the local optimizer with TorchScript enabled
2025-06-01T21:26:38.2521600Z     by default, so that optimizer updates are not blocked by the Python Global
2025-06-01T21:26:38.2521760Z     Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed
2025-06-01T21:26:38.2521910Z     Model Parallel). This feature is currently enabled for most optimizers. You
2025-06-01T21:26:38.2522060Z     can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support
2025-06-01T21:26:38.2522120Z     for your own custom optimizers.
2025-06-01T21:26:38.2522160Z     
2025-06-01T21:26:38.2522200Z     Args:
2025-06-01T21:26:38.2522320Z         optimizer_class (optim.Optimizer): the class of optimizer to
2025-06-01T21:26:38.2522380Z             instantiate on each worker.
2025-06-01T21:26:38.2522500Z         params_rref (list[RRef]): list of RRefs to local or remote parameters
2025-06-01T21:26:38.2522550Z             to optimize.
2025-06-01T21:26:38.2522670Z         args: arguments to pass to the optimizer constructor on each worker.
2025-06-01T21:26:38.2522800Z         kwargs: arguments to pass to the optimizer constructor on each worker.
2025-06-01T21:26:38.2522840Z     
2025-06-01T21:26:38.2522880Z     Example::
2025-06-01T21:26:38.2522950Z         >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:38.2523050Z         >>> import torch.distributed.autograd as dist_autograd
2025-06-01T21:26:38.2523120Z         >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:38.2523180Z         >>> from torch import optim
2025-06-01T21:26:38.2523290Z         >>> from torch.distributed.optim import DistributedOptimizer
2025-06-01T21:26:38.2523330Z         >>>
2025-06-01T21:26:38.2523410Z         >>> with dist_autograd.context() as context_id:
2025-06-01T21:26:38.2523460Z         >>>   # Forward pass.
2025-06-01T21:26:38.2523580Z         >>>   rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3))
2025-06-01T21:26:38.2523700Z         >>>   rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1))
2025-06-01T21:26:38.2523770Z         >>>   loss = rref1.to_here() + rref2.to_here()
2025-06-01T21:26:38.2523810Z         >>>
2025-06-01T21:26:38.2523860Z         >>>   # Backward pass.
2025-06-01T21:26:38.2523950Z         >>>   dist_autograd.backward(context_id, [loss.sum()])
2025-06-01T21:26:38.2523990Z         >>>
2025-06-01T21:26:38.2524040Z         >>>   # Optimizer.
2025-06-01T21:26:38.2524120Z         >>>   dist_optim = DistributedOptimizer(
2025-06-01T21:26:38.2524160Z         >>>      optim.SGD,
2025-06-01T21:26:38.2524210Z         >>>      [rref1, rref2],
2025-06-01T21:26:38.2524260Z         >>>      lr=0.05,
2025-06-01T21:26:38.2524330Z         >>>   )
2025-06-01T21:26:38.2524390Z         >>>   dist_optim.step(context_id)
2025-06-01T21:26:38.2524430Z     
2025-06-01T21:26:38.2524520Z     __ https://github.com/pytorch/tutorials/pull/1465
2025-06-01T21:26:38.2524560Z     
2025-06-01T21:26:38.2524700Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2524740Z     
2025-06-01T21:26:38.2524790Z       warnings.warn(msg)
2025-06-01T21:26:38.2524830Z     
2025-06-01T21:26:38.2524920Z --- Parse Warning: 68 / 118 ---
2025-06-01T21:26:38.2525750Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284.
2025-06-01T21:26:38.2525930Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2525970Z     
2025-06-01T21:26:38.2526210Z     Wrap an arbitrary :class:`optim.Optimizer <torch.optim.Optimizer>` and shards its states across ranks in the group.
2025-06-01T21:26:38.2526250Z     
2025-06-01T21:26:38.2526320Z     The sharing is done as described by ZeRO_.
2025-06-01T21:26:38.2526360Z     
2025-06-01T21:26:38.2526440Z     The local optimizer instance in each rank is only
2025-06-01T21:26:38.2526600Z     responsible for updating approximately ``1 / world_size`` parameters and
2025-06-01T21:26:38.2526720Z     hence only needs to keep ``1 / world_size`` optimizer states. After
2025-06-01T21:26:38.2526870Z     parameters are updated locally, each rank will broadcast its parameters to
2025-06-01T21:26:38.2526980Z     all other peers to keep all model replicas in the same state.
2025-06-01T21:26:38.2527100Z     ``ZeroRedundancyOptimizer`` can be used in conjunction with
2025-06-01T21:26:38.2527250Z     :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak
2025-06-01T21:26:38.2527300Z     memory consumption.
2025-06-01T21:26:38.2527340Z     
2025-06-01T21:26:38.2527490Z     ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number
2025-06-01T21:26:38.2527630Z     of parameters at each rank. Each parameter belongs to a single rank and is
2025-06-01T21:26:38.2527770Z     not divided among ranks. The partition is arbitrary and might not match the
2025-06-01T21:26:38.2527840Z     the parameter registration or usage order.
2025-06-01T21:26:38.2527920Z     
2025-06-01T21:26:38.2527960Z     Arguments:
2025-06-01T21:26:38.2528070Z         params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s
2025-06-01T21:26:38.2528190Z             or :class:`dict` s giving all parameters, which will be sharded
2025-06-01T21:26:38.2528230Z             across ranks.
2025-06-01T21:26:38.2528270Z     
2025-06-01T21:26:38.2528320Z     Keyword Args:
2025-06-01T21:26:38.2528450Z         optimizer_class (:class:`torch.nn.Optimizer`): the class of the local
2025-06-01T21:26:38.2528500Z             optimizer.
2025-06-01T21:26:38.2528620Z         process_group (``ProcessGroup``, optional): ``torch.distributed``
2025-06-01T21:26:38.2528740Z             ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by
2025-06-01T21:26:38.2528820Z             :meth:`torch.distributed.init_process_group`).
2025-06-01T21:26:38.2528960Z         parameters_as_bucket_view (bool, optional): if ``True``, parameters are
2025-06-01T21:26:38.2529090Z             packed into buckets to speed up communication, and ``param.data``
2025-06-01T21:26:38.2529210Z             fields point to bucket views at different offsets; if ``False``,
2025-06-01T21:26:38.2529330Z             each individual parameter is communicated separately, and each
2025-06-01T21:26:38.2529420Z             ``params.data`` stays intact (default: ``False``).
2025-06-01T21:26:38.2529540Z         overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is
2025-06-01T21:26:38.2529660Z             overlapped with :class:`DistributedDataParallel` 's gradient
2025-06-01T21:26:38.2529810Z             synchronization; this requires (1) either a functional optimizer
2025-06-01T21:26:38.2529920Z             for the ``optimizer_class`` argument or one with a functional
2025-06-01T21:26:38.2530020Z             equivalent and (2) registering a DDP communication hook
2025-06-01T21:26:38.2530140Z             constructed from one of the functions in ``ddp_zero_hook.py``;
2025-06-01T21:26:38.2530240Z             parameters are packed into buckets matching those in
2025-06-01T21:26:38.2530330Z             :class:`DistributedDataParallel`, meaning that the
2025-06-01T21:26:38.2530480Z             ``parameters_as_bucket_view`` argument is ignored.
2025-06-01T21:26:38.2530610Z             If ``False``, :meth:`step` runs disjointly after the backward pass
2025-06-01T21:26:38.2530660Z             (per normal).
2025-06-01T21:26:38.2530720Z             (default: ``False``)
2025-06-01T21:26:38.2530840Z         **defaults: any trailing arguments, which are forwarded to the local
2025-06-01T21:26:38.2530880Z             optimizer.
2025-06-01T21:26:38.2530920Z     
2025-06-01T21:26:38.2530970Z     Example::
2025-06-01T21:26:38.2531000Z     
2025-06-01T21:26:38.2531060Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2531110Z         >>> import torch.nn as nn
2025-06-01T21:26:38.2531230Z         >>> from torch.distributed.optim import ZeroRedundancyOptimizer
2025-06-01T21:26:38.2531410Z         >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-06-01T21:26:38.2531550Z         >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)])
2025-06-01T21:26:38.2531620Z         >>> ddp = DDP(model, device_ids=[rank])
2025-06-01T21:26:38.2531690Z         >>> opt = ZeroRedundancyOptimizer(
2025-06-01T21:26:38.2531740Z         >>>     ddp.parameters(),
2025-06-01T21:26:38.2531810Z         >>>     optimizer_class=torch.optim.Adam,
2025-06-01T21:26:38.2531860Z         >>>     lr=0.01
2025-06-01T21:26:38.2531900Z         >>> )
2025-06-01T21:26:38.2531960Z         >>> ddp(inputs).sum().backward()
2025-06-01T21:26:38.2532000Z         >>> opt.step()
2025-06-01T21:26:38.2532040Z     
2025-06-01T21:26:38.2532080Z     .. warning::
2025-06-01T21:26:38.2532200Z         Currently, ``ZeroRedundancyOptimizer`` requires that all of the
2025-06-01T21:26:38.2532290Z         passed-in parameters are the same dense type.
2025-06-01T21:26:38.2532330Z     
2025-06-01T21:26:38.2532370Z     .. warning::
2025-06-01T21:26:38.2532500Z         If you pass ``overlap_with_ddp=True``, be wary of the following: Given
2025-06-01T21:26:38.2532620Z         the way that overlapping :class:`DistributedDataParallel` with
2025-06-01T21:26:38.2532760Z         :class:`ZeroRedundancyOptimizer` is currently implemented, the first
2025-06-01T21:26:38.2532890Z         two or three training iterations do not perform parameter updates in
2025-06-01T21:26:38.2533000Z         the optimizer step, depending on if ``static_graph=False`` or
2025-06-01T21:26:38.2533110Z         ``static_graph=True``, respectively. This is because it needs
2025-06-01T21:26:38.2533220Z         information about the gradient bucketing strategy used by
2025-06-01T21:26:38.2533350Z         :class:`DistributedDataParallel`, which is not finalized until the
2025-06-01T21:26:38.2533470Z         second forward pass if ``static_graph=False`` or until the third
2025-06-01T21:26:38.2533600Z         forward pass if ``static_graph=True``. To adjust for this, one option
2025-06-01T21:26:38.2533650Z         is to prepend dummy inputs.
2025-06-01T21:26:38.2533690Z     
2025-06-01T21:26:38.2533840Z     .. warning:: ZeroRedundancyOptimizer is experimental and subject to change.
2025-06-01T21:26:38.2533880Z     
2025-06-01T21:26:38.2533960Z     .. _ZeRO: https://arxiv.org/abs/1910.02054
2025-06-01T21:26:38.2533990Z     
2025-06-01T21:26:38.2534030Z     
2025-06-01T21:26:38.2534180Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2534220Z     
2025-06-01T21:26:38.2534290Z       warnings.warn(msg)
2025-06-01T21:26:38.2534330Z     
2025-06-01T21:26:38.2534430Z --- Parse Warning: 69 / 118 ---
2025-06-01T21:26:38.2535290Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=639.
2025-06-01T21:26:38.2535470Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2535650Z     Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-06-01T21:26:38.2535690Z     
2025-06-01T21:26:38.2535850Z             Also takes (optional) configuration for the model's and optimizer's state dict.
2025-06-01T21:26:38.2535970Z             The target module does not have to be a FSDP module. If the target
2025-06-01T21:26:38.2536100Z             module is a FSDP module, its ``state_dict_type`` will also be changed.
2025-06-01T21:26:38.2536140Z     
2025-06-01T21:26:38.2536260Z             .. note:: This API should be called for only the top-level (root)
2025-06-01T21:26:38.2536300Z                 module.
2025-06-01T21:26:38.2536340Z     
2025-06-01T21:26:38.2536470Z             .. note:: This API enables users to transparently use the conventional
2025-06-01T21:26:38.2536610Z                 ``state_dict`` API to take model checkpoints in cases where the
2025-06-01T21:26:38.2536740Z                 root FSDP module is wrapped by another ``nn.Module``. For example,
2025-06-01T21:26:38.2536860Z                 the following will ensure ``state_dict`` is called on all non-FSDP
2025-06-01T21:26:38.2537000Z                 instances, while dispatching into `sharded_state_dict` implementation
2025-06-01T21:26:38.2537050Z                 for FSDP:
2025-06-01T21:26:38.2537090Z     
2025-06-01T21:26:38.2537130Z             Example::
2025-06-01T21:26:38.2537170Z     
2025-06-01T21:26:38.2537250Z                 >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2537310Z                 >>> model = DDP(FSDP(...))
2025-06-01T21:26:38.2537380Z                 >>> FSDP.set_state_dict_type(
2025-06-01T21:26:38.2537420Z                 >>>     model,
2025-06-01T21:26:38.2537500Z                 >>>     StateDictType.SHARDED_STATE_DICT,
2025-06-01T21:26:38.2537630Z                 >>>     state_dict_config = ShardedStateDictConfig(offload_to_cpu=True),
2025-06-01T21:26:38.2537770Z                 >>>     optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True),
2025-06-01T21:26:38.2537810Z                 >>> )
2025-06-01T21:26:38.2537890Z                 >>> param_state_dict = model.state_dict()
2025-06-01T21:26:38.2537990Z                 >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-06-01T21:26:38.2538030Z     
2025-06-01T21:26:38.2538070Z             Args:
2025-06-01T21:26:38.2538150Z                 module (torch.nn.Module): Root module.
2025-06-01T21:26:38.2538290Z                 state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-06-01T21:26:38.2538430Z                 state_dict_config (Optional[StateDictConfig]): the configuration for the
2025-06-01T21:26:38.2538490Z                     target ``state_dict_type``.
2025-06-01T21:26:38.2538640Z                 optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration
2025-06-01T21:26:38.2538710Z                     for the optimizer state dict.
2025-06-01T21:26:38.2538750Z     
2025-06-01T21:26:38.2538790Z             Returns:
2025-06-01T21:26:38.2538930Z                 A StateDictSettings that include the previous state_dict type and
2025-06-01T21:26:38.2538990Z                 configuration for the module.
2025-06-01T21:26:38.2539030Z             
2025-06-01T21:26:38.2539180Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2539240Z     
2025-06-01T21:26:38.2539290Z       warnings.warn(msg)
2025-06-01T21:26:38.2539330Z     
2025-06-01T21:26:38.2539420Z --- Parse Warning: 70 / 118 ---
2025-06-01T21:26:38.2540270Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=797.
2025-06-01T21:26:38.2540440Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2540610Z     Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-06-01T21:26:38.2540650Z     
2025-06-01T21:26:38.2540840Z             This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of
2025-06-01T21:26:38.2540910Z             :meth:`set_state_dict_type` for the detail.
2025-06-01T21:26:38.2540950Z     
2025-06-01T21:26:38.2541000Z             Example::
2025-06-01T21:26:38.2541030Z     
2025-06-01T21:26:38.2541120Z                 >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2541170Z                 >>> model = DDP(FSDP(...))
2025-06-01T21:26:38.2541240Z                 >>> with FSDP.state_dict_type(
2025-06-01T21:26:38.2541280Z                 >>>     model,
2025-06-01T21:26:38.2541380Z                 >>>     StateDictType.SHARDED_STATE_DICT,
2025-06-01T21:26:38.2541430Z                 >>> ):
2025-06-01T21:26:38.2541500Z                 >>>     checkpoint = model.state_dict()
2025-06-01T21:26:38.2541540Z     
2025-06-01T21:26:38.2541580Z             Args:
2025-06-01T21:26:38.2541660Z                 module (torch.nn.Module): Root module.
2025-06-01T21:26:38.2541800Z                 state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-06-01T21:26:38.2541930Z                 state_dict_config (Optional[StateDictConfig]): the model ``state_dict``
2025-06-01T21:26:38.2542030Z                     configuration for the target ``state_dict_type``.
2025-06-01T21:26:38.2542170Z                 optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer
2025-06-01T21:26:38.2542290Z                    ``state_dict`` configuration for the target ``state_dict_type``.
2025-06-01T21:26:38.2542330Z             
2025-06-01T21:26:38.2542480Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2542520Z     
2025-06-01T21:26:38.2542570Z       warnings.warn(msg)
2025-06-01T21:26:38.2542600Z     
2025-06-01T21:26:38.2542700Z --- Parse Warning: 71 / 118 ---
2025-06-01T21:26:38.2543550Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1810.
2025-06-01T21:26:38.2543710Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2543740Z     
2025-06-01T21:26:38.2543880Z     Transform the state-dict of an optimizer corresponding to a sharded model.
2025-06-01T21:26:38.2543920Z     
2025-06-01T21:26:38.2544040Z     The given state-dict can be transformed to one of three types:
2025-06-01T21:26:38.2544220Z     1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict.
2025-06-01T21:26:38.2544260Z     
2025-06-01T21:26:38.2544390Z     For full optimizer state_dict, all states are unflattened and not sharded.
2025-06-01T21:26:38.2544520Z     Rank0 only and CPU only can be specified via :meth:`state_dict_type` to
2025-06-01T21:26:38.2544560Z     avoid OOM.
2025-06-01T21:26:38.2544600Z     
2025-06-01T21:26:38.2544740Z     For sharded optimizer state_dict, all states are unflattened but sharded.
2025-06-01T21:26:38.2544900Z     CPU only can be specified via :meth:`state_dict_type` to further save
2025-06-01T21:26:38.2544940Z     memory.
2025-06-01T21:26:38.2544970Z     
2025-06-01T21:26:38.2545100Z     For local state_dict, no transformation will be performed. But a state
2025-06-01T21:26:38.2545240Z     will be converted from nn.Tensor to ShardedTensor to represent its sharding
2025-06-01T21:26:38.2545300Z     nature (this is not supported yet).
2025-06-01T21:26:38.2545340Z     
2025-06-01T21:26:38.2545380Z     Example::
2025-06-01T21:26:38.2545420Z     
2025-06-01T21:26:38.2545540Z         >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2545700Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-06-01T21:26:38.2545800Z         >>> from torch.distributed.fsdp import StateDictType
2025-06-01T21:26:38.2545900Z         >>> from torch.distributed.fsdp import FullStateDictConfig
2025-06-01T21:26:38.2546020Z         >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-06-01T21:26:38.2546080Z         >>> # Save a checkpoint
2025-06-01T21:26:38.2546130Z         >>> model, optim = ...
2025-06-01T21:26:38.2546190Z         >>> FSDP.set_state_dict_type(
2025-06-01T21:26:38.2546230Z         >>>     model,
2025-06-01T21:26:38.2546300Z         >>>     StateDictType.FULL_STATE_DICT,
2025-06-01T21:26:38.2546370Z         >>>     FullStateDictConfig(rank0_only=False),
2025-06-01T21:26:38.2546480Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-06-01T21:26:38.2546520Z         >>> )
2025-06-01T21:26:38.2546580Z         >>> state_dict = model.state_dict()
2025-06-01T21:26:38.2546690Z         >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-06-01T21:26:38.2546770Z         >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-06-01T21:26:38.2546820Z         >>> # Load a checkpoint
2025-06-01T21:26:38.2546880Z         >>> model, optim = ...
2025-06-01T21:26:38.2546970Z         >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-06-01T21:26:38.2547030Z         >>> FSDP.set_state_dict_type(
2025-06-01T21:26:38.2547070Z         >>>     model,
2025-06-01T21:26:38.2547130Z         >>>     StateDictType.FULL_STATE_DICT,
2025-06-01T21:26:38.2547210Z         >>>     FullStateDictConfig(rank0_only=False),
2025-06-01T21:26:38.2547290Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-06-01T21:26:38.2547330Z         >>> )
2025-06-01T21:26:38.2547400Z         >>> model.load_state_dict(state_dict)
2025-06-01T21:26:38.2547490Z         >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-06-01T21:26:38.2547550Z         >>>     model, optim, optim_state_dict
2025-06-01T21:26:38.2547590Z         >>> )
2025-06-01T21:26:38.2547670Z         >>> optim.load_state_dict(optim_state_dict)
2025-06-01T21:26:38.2547700Z     
2025-06-01T21:26:38.2547740Z     Args:
2025-06-01T21:26:38.2547860Z         model (torch.nn.Module): Root module (which may or may not be a
2025-06-01T21:26:38.2547980Z             :class:`FullyShardedDataParallel` instance) whose parameters
2025-06-01T21:26:38.2548060Z             were passed into the optimizer ``optim``.
2025-06-01T21:26:38.2548170Z         optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-06-01T21:26:38.2548220Z             parameters.
2025-06-01T21:26:38.2548340Z         optim_state_dict (Dict[str, Any]): the target optimizer state_dict to
2025-06-01T21:26:38.2548470Z             transform. If the value is None, optim.state_dict() will be used. (
2025-06-01T21:26:38.2548520Z             Default: ``None``)
2025-06-01T21:26:38.2548660Z         group (dist.ProcessGroup): Model's process group across which parameters
2025-06-01T21:26:38.2548780Z             are sharded or ``None`` if using the default process group. (
2025-06-01T21:26:38.2548830Z             Default: ``None``)
2025-06-01T21:26:38.2548870Z     
2025-06-01T21:26:38.2548910Z     Returns:
2025-06-01T21:26:38.2549020Z         Dict[str, Any]: A :class:`dict` containing the optimizer state for
2025-06-01T21:26:38.2549140Z         ``model``. The sharding of the optimizer state is based on
2025-06-01T21:26:38.2549200Z         ``state_dict_type``.
2025-06-01T21:26:38.2549230Z     
2025-06-01T21:26:38.2549380Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2549420Z     
2025-06-01T21:26:38.2549470Z       warnings.warn(msg)
2025-06-01T21:26:38.2549510Z     
2025-06-01T21:26:38.2549600Z --- Parse Warning: 72 / 118 ---
2025-06-01T21:26:38.2550490Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1908.
2025-06-01T21:26:38.2550660Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2550700Z     
2025-06-01T21:26:38.2550910Z     Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model.
2025-06-01T21:26:38.2550950Z     
2025-06-01T21:26:38.2551050Z     Given a ``optim_state_dict`` that is transformed through
2025-06-01T21:26:38.2551180Z     :meth:`optim_state_dict`, it gets converted to the flattened optimizer
2025-06-01T21:26:38.2551300Z     state_dict that can be loaded to ``optim`` which is the optimizer for
2025-06-01T21:26:38.2551450Z     ``model``. ``model`` must be sharded by FullyShardedDataParallel.
2025-06-01T21:26:38.2551490Z     
2025-06-01T21:26:38.2551560Z         >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2551710Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-06-01T21:26:38.2551800Z         >>> from torch.distributed.fsdp import StateDictType
2025-06-01T21:26:38.2551910Z         >>> from torch.distributed.fsdp import FullStateDictConfig
2025-06-01T21:26:38.2552030Z         >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-06-01T21:26:38.2552080Z         >>> # Save a checkpoint
2025-06-01T21:26:38.2552130Z         >>> model, optim = ...
2025-06-01T21:26:38.2552190Z         >>> FSDP.set_state_dict_type(
2025-06-01T21:26:38.2552230Z         >>>     model,
2025-06-01T21:26:38.2552300Z         >>>     StateDictType.FULL_STATE_DICT,
2025-06-01T21:26:38.2552370Z         >>>     FullStateDictConfig(rank0_only=False),
2025-06-01T21:26:38.2552460Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-06-01T21:26:38.2552500Z         >>> )
2025-06-01T21:26:38.2552560Z         >>> state_dict = model.state_dict()
2025-06-01T21:26:38.2552630Z         >>> original_osd = optim.state_dict()
2025-06-01T21:26:38.2552710Z         >>> optim_state_dict = FSDP.optim_state_dict(
2025-06-01T21:26:38.2552750Z         >>>     model,
2025-06-01T21:26:38.2552790Z         >>>     optim,
2025-06-01T21:26:38.2552850Z         >>>     optim_state_dict=original_osd
2025-06-01T21:26:38.2552890Z         >>> )
2025-06-01T21:26:38.2552980Z         >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-06-01T21:26:38.2553030Z         >>> # Load a checkpoint
2025-06-01T21:26:38.2553080Z         >>> model, optim = ...
2025-06-01T21:26:38.2553170Z         >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-06-01T21:26:38.2553230Z         >>> FSDP.set_state_dict_type(
2025-06-01T21:26:38.2553270Z         >>>     model,
2025-06-01T21:26:38.2553340Z         >>>     StateDictType.FULL_STATE_DICT,
2025-06-01T21:26:38.2553410Z         >>>     FullStateDictConfig(rank0_only=False),
2025-06-01T21:26:38.2553490Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-06-01T21:26:38.2553530Z         >>> )
2025-06-01T21:26:38.2553600Z         >>> model.load_state_dict(state_dict)
2025-06-01T21:26:38.2553690Z         >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-06-01T21:26:38.2553750Z         >>>     model, optim, optim_state_dict
2025-06-01T21:26:38.2553820Z         >>> )
2025-06-01T21:26:38.2556440Z         >>> optim.load_state_dict(optim_state_dict)
2025-06-01T21:26:38.2556480Z     
2025-06-01T21:26:38.2556530Z     Args:
2025-06-01T21:26:38.2556640Z         model (torch.nn.Module): Root module (which may or may not be a
2025-06-01T21:26:38.2556760Z             :class:`FullyShardedDataParallel` instance) whose parameters
2025-06-01T21:26:38.2556840Z             were passed into the optimizer ``optim``.
2025-06-01T21:26:38.2556950Z         optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-06-01T21:26:38.2557000Z             parameters.
2025-06-01T21:26:38.2557220Z         optim_state_dict (Dict[str, Any]): The optimizer states to be loaded.
2025-06-01T21:26:38.2557370Z         is_named_optimizer (bool): Is this optimizer a NamedOptimizer or
2025-06-01T21:26:38.2557480Z             KeyedOptimizer. Only set to True if ``optim`` is TorchRec's
2025-06-01T21:26:38.2557590Z             KeyedOptimizer or torch.distributed's NamedOptimizer.
2025-06-01T21:26:38.2557700Z         load_directly (bool): If this is set to True, this API will also
2025-06-01T21:26:38.2557820Z             call optim.load_state_dict(result) before returning the result.
2025-06-01T21:26:38.2557950Z             Otherwise, users are responsible to call ``optim.load_state_dict()``
2025-06-01T21:26:38.2558010Z             (Default: ``False``)
2025-06-01T21:26:38.2558150Z         group (dist.ProcessGroup): Model's process group across which parameters
2025-06-01T21:26:38.2558280Z             are sharded or ``None`` if using the default process group. (
2025-06-01T21:26:38.2558330Z             Default: ``None``)
2025-06-01T21:26:38.2558380Z     
2025-06-01T21:26:38.2558520Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2558560Z     
2025-06-01T21:26:38.2558610Z       warnings.warn(msg)
2025-06-01T21:26:38.2558650Z     
2025-06-01T21:26:38.2558760Z --- Parse Warning: 73 / 118 ---
2025-06-01T21:26:38.2559480Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixedPrecision in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=114.
2025-06-01T21:26:38.2559630Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2559670Z     
2025-06-01T21:26:38.2559770Z     This configures FSDP-native mixed precision training.
2025-06-01T21:26:38.2559810Z     
2025-06-01T21:26:38.2559850Z     Attributes:
2025-06-01T21:26:38.2559990Z         param_dtype (Optional[torch.dtype]): This specifies the dtype for model
2025-06-01T21:26:38.2560120Z             parameters during forward and backward and thus the dtype for
2025-06-01T21:26:38.2560250Z             forward and backward computation. Outside forward and backward, the
2025-06-01T21:26:38.2560370Z             *sharded* parameters are kept in full precision (e.g. for the
2025-06-01T21:26:38.2560490Z             optimizer step), and for model checkpointing, the parameters are
2025-06-01T21:26:38.2560590Z             always saved in full precision. (Default: ``None``)
2025-06-01T21:26:38.2560710Z         reduce_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-06-01T21:26:38.2560840Z             gradient reduction (i.e. reduce-scatter or all-reduce). If this is
2025-06-01T21:26:38.2560950Z             ``None`` but ``param_dtype`` is not ``None``, then this takes on
2025-06-01T21:26:38.2561070Z             the ``param_dtype`` value, still running gradient reduction in low
2025-06-01T21:26:38.2561190Z             precision. This is permitted to differ from ``param_dtype``, e.g.
2025-06-01T21:26:38.2561310Z             to force gradient reduction to run in full precision. (Default:
2025-06-01T21:26:38.2561350Z             ``None``)
2025-06-01T21:26:38.2561480Z         buffer_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-06-01T21:26:38.2561620Z             buffers. FSDP does not shard buffers. Rather, FSDP casts them to
2025-06-01T21:26:38.2561740Z             ``buffer_dtype`` in the first forward pass and keeps them in that
2025-06-01T21:26:38.2561860Z             dtype thereafter. For model checkpointing, the buffers are saved
2025-06-01T21:26:38.2561970Z             in full precision except for ``LOCAL_STATE_DICT``. (Default:
2025-06-01T21:26:38.2562010Z             ``None``)
2025-06-01T21:26:38.2562120Z         keep_low_precision_grads (bool): If ``False``, then FSDP upcasts
2025-06-01T21:26:38.2562270Z             gradients to full precision after the backward pass in preparation
2025-06-01T21:26:38.2562410Z             for the optimizer step. If ``True``, then FSDP keeps the gradients
2025-06-01T21:26:38.2562530Z             in the dtype used for gradient reduction, which can save memory if
2025-06-01T21:26:38.2562650Z             using a custom optimizer that supports running in low precision.
2025-06-01T21:26:38.2562710Z             (Default: ``False``)
2025-06-01T21:26:38.2562830Z         cast_forward_inputs (bool): If ``True``, then this FSDP module casts
2025-06-01T21:26:38.2562950Z             its forward args and kwargs to ``param_dtype``. This is to ensure
2025-06-01T21:26:38.2563070Z             that parameter and input dtypes match for forward computation, as
2025-06-01T21:26:38.2563190Z             required by many ops. This may need to be set to ``True`` when only
2025-06-01T21:26:38.2563340Z             applying mixed precision to some but not all FSDP modules, in which
2025-06-01T21:26:38.2563470Z             case a mixed-precision FSDP submodule needs to recast its inputs.
2025-06-01T21:26:38.2563520Z             (Default: ``False``)
2025-06-01T21:26:38.2563650Z         cast_root_forward_inputs (bool): If ``True``, then the root FSDP module
2025-06-01T21:26:38.2563770Z             casts its forward args and kwargs to ``param_dtype``, overriding
2025-06-01T21:26:38.2563880Z             the value of ``cast_forward_inputs``. For non-root FSDP modules,
2025-06-01T21:26:38.2563970Z             this does not do anything. (Default: ``True``)
2025-06-01T21:26:38.2564100Z         _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies
2025-06-01T21:26:38.2564210Z             module classes to ignore for mixed precision when using an
2025-06-01T21:26:38.2564320Z             ``auto_wrap_policy``: Modules of these classes will have FSDP
2025-06-01T21:26:38.2564440Z             applied to them separately with mixed precision disabled (meaning
2025-06-01T21:26:38.2564560Z             that the final FSDP construction would deviate from the specified
2025-06-01T21:26:38.2564680Z             policy). If ``auto_wrap_policy`` is not specified, then this does
2025-06-01T21:26:38.2564790Z             not do anything. This API is experimental and subject to change.
2025-06-01T21:26:38.2564850Z             (Default: ``(_BatchNorm,)``)
2025-06-01T21:26:38.2564890Z     
2025-06-01T21:26:38.2564990Z     .. note:: This API is experimental and subject to change.
2025-06-01T21:26:38.2565030Z     
2025-06-01T21:26:38.2565160Z     .. note:: Only floating point tensors are cast to their specified dtypes.
2025-06-01T21:26:38.2565200Z     
2025-06-01T21:26:38.2565310Z     .. note:: In ``summon_full_params``, parameters are forced to full
2025-06-01T21:26:38.2565370Z         precision, but buffers are not.
2025-06-01T21:26:38.2565410Z     
2025-06-01T21:26:38.2565520Z     .. note:: Layer norm and batch norm accumulate in ``float32`` even when
2025-06-01T21:26:38.2565650Z         their inputs are in a low precision like ``float16`` or ``bfloat16``.
2025-06-01T21:26:38.2565790Z         Disabling FSDP's mixed precision for those norm modules only means that
2025-06-01T21:26:38.2565920Z         the affine parameters are kept in ``float32``. However, this incurs
2025-06-01T21:26:38.2566050Z         separate all-gathers and reduce-scatters for those norm modules, which
2025-06-01T21:26:38.2566180Z         may be inefficient, so if the workload permits, the user should prefer
2025-06-01T21:26:38.2566320Z         to still apply mixed precision to those modules.
2025-06-01T21:26:38.2566360Z     
2025-06-01T21:26:38.2566480Z     .. note:: By default, if the user passes a model with any ``_BatchNorm``
2025-06-01T21:26:38.2566600Z         modules and specifies an ``auto_wrap_policy``, then the batch norm
2025-06-01T21:26:38.2566730Z         modules will have FSDP applied to them separately with mixed precision
2025-06-01T21:26:38.2566840Z         disabled. See the ``_module_classes_to_ignore`` argument.
2025-06-01T21:26:38.2566880Z     
2025-06-01T21:26:38.2567020Z     .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and
2025-06-01T21:26:38.2567170Z         ``cast_forward_inputs=False`` by default. For the root FSDP instance,
2025-06-01T21:26:38.2567270Z         its ``cast_root_forward_inputs`` takes precedence over its
2025-06-01T21:26:38.2567380Z         ``cast_forward_inputs``. For non-root FSDP instances, their
2025-06-01T21:26:38.2567510Z         ``cast_root_forward_inputs`` values are ignored. The default setting is
2025-06-01T21:26:38.2567640Z         sufficient for the typical case where each FSDP instance has the same
2025-06-01T21:26:38.2567770Z         ``MixedPrecision`` configuration and only needs to cast inputs to the
2025-06-01T21:26:38.2567880Z         ``param_dtype`` at the beginning of the model's forward pass.
2025-06-01T21:26:38.2567920Z     
2025-06-01T21:26:38.2568060Z     .. note:: For nested FSDP instances with different ``MixedPrecision``
2025-06-01T21:26:38.2568200Z         configurations, we recommend setting individual ``cast_forward_inputs``
2025-06-01T21:26:38.2568320Z         values to configure casting inputs or not before each instance's
2025-06-01T21:26:38.2568440Z         forward. In such a case, since the casts happen before each FSDP
2025-06-01T21:26:38.2568570Z         instance's forward, a parent FSDP instance should have its non-FSDP
2025-06-01T21:26:38.2568700Z         submodules run before its FSDP submodules to avoid the activation dtype
2025-06-01T21:26:38.2568820Z         being changed due to a different ``MixedPrecision`` configuration.
2025-06-01T21:26:38.2568860Z     
2025-06-01T21:26:38.2568900Z         Example::
2025-06-01T21:26:38.2568940Z     
2025-06-01T21:26:38.2569020Z             >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2569120Z             >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3))
2025-06-01T21:26:38.2569170Z             >>> model[1] = FSDP(
2025-06-01T21:26:38.2569220Z             >>>     model[1],
2025-06-01T21:26:38.2569410Z             >>>     mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True),
2025-06-01T21:26:38.2569450Z             >>> )
2025-06-01T21:26:38.2569500Z             >>> model = FSDP(
2025-06-01T21:26:38.2569540Z             >>>     model,
2025-06-01T21:26:38.2569720Z             >>>     mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True),
2025-06-01T21:26:38.2569760Z             >>> )
2025-06-01T21:26:38.2569800Z     
2025-06-01T21:26:38.2569930Z         The above shows a working example. On the other hand, if ``model[1]``
2025-06-01T21:26:38.2570050Z         were replaced with ``model[0]``, meaning that the submodule using
2025-06-01T21:26:38.2570180Z         different ``MixedPrecision`` ran its forward first, then ``model[1]``
2025-06-01T21:26:38.2570310Z         would incorrectly see ``float16`` activations instead of ``bfloat16``
2025-06-01T21:26:38.2570340Z         ones.
2025-06-01T21:26:38.2570390Z     
2025-06-01T21:26:38.2570420Z     
2025-06-01T21:26:38.2570570Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2570610Z     
2025-06-01T21:26:38.2570660Z       warnings.warn(msg)
2025-06-01T21:26:38.2570700Z     
2025-06-01T21:26:38.2570800Z --- Parse Warning: 74 / 118 ---
2025-06-01T21:26:38.2571530Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=295.
2025-06-01T21:26:38.2571710Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2571750Z     
2025-06-01T21:26:38.2571870Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-06-01T21:26:38.2571990Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-06-01T21:26:38.2572120Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-06-01T21:26:38.2572270Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-06-01T21:26:38.2572390Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-06-01T21:26:38.2572430Z     follows:
2025-06-01T21:26:38.2572470Z     
2025-06-01T21:26:38.2572550Z         >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2572690Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-06-01T21:26:38.2572770Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-06-01T21:26:38.2572890Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-06-01T21:26:38.2573020Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-06-01T21:26:38.2573090Z         >>>     state = fsdp.state_dict()
2025-06-01T21:26:38.2573240Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-06-01T21:26:38.2573390Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-06-01T21:26:38.2573530Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-06-01T21:26:38.2573580Z         >>> if dist.get_rank() == 0:
2025-06-01T21:26:38.2573700Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-06-01T21:26:38.2573780Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-06-01T21:26:38.2573850Z         >>>     model.load_state_dict(state_dict)
2025-06-01T21:26:38.2573990Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-06-01T21:26:38.2574130Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-06-01T21:26:38.2574170Z         >>> fsdp = FSDP(
2025-06-01T21:26:38.2574220Z         ...     model,
2025-06-01T21:26:38.2574290Z         ...     device_id=torch.cuda.current_device(),
2025-06-01T21:26:38.2574350Z         ...     auto_wrap_policy=...,
2025-06-01T21:26:38.2574410Z         ...     sync_module_states=True,
2025-06-01T21:26:38.2574450Z         ... )
2025-06-01T21:26:38.2574570Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-06-01T21:26:38.2574620Z     
2025-06-01T21:26:38.2574660Z     Attributes:
2025-06-01T21:26:38.2574780Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-06-01T21:26:38.2574900Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-06-01T21:26:38.2574990Z             ranks save the full state dict. (Default: ``False``)
2025-06-01T21:26:38.2575030Z     
2025-06-01T21:26:38.2575180Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2575220Z     
2025-06-01T21:26:38.2575260Z       warnings.warn(msg)
2025-06-01T21:26:38.2575300Z     
2025-06-01T21:26:38.2575400Z --- Parse Warning: 75 / 118 ---
2025-06-01T21:26:38.2576180Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=init_from_local_shards in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361.
2025-06-01T21:26:38.2576330Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2576390Z     
2025-06-01T21:26:38.2576530Z     Creates an :class:`ShardedTensor` from local shards and the global metadata.
2025-06-01T21:26:38.2576620Z     Needs to be called on all ranks in an SPMD fashion.
2025-06-01T21:26:38.2576660Z     
2025-06-01T21:26:38.2576700Z     Args:
2025-06-01T21:26:38.2576870Z         local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list
2025-06-01T21:26:38.2576970Z             of shards that represent the local shards on this rank.
2025-06-01T21:26:38.2577110Z         global_size (int...):  a list, tuple, or `torch.Size` of integers defining the
2025-06-01T21:26:38.2577200Z             shape of the overall sharded tensor.
2025-06-01T21:26:38.2577270Z     
2025-06-01T21:26:38.2577310Z     Keyword args:
2025-06-01T21:26:38.2577470Z         process_group (ProcessGroup, optional): The process group to work on. If None,
2025-06-01T21:26:38.2577540Z             the default process group will be used.
2025-06-01T21:26:38.2577650Z         init_rrefs (bool, optional): Whether or not to initialize
2025-06-01T21:26:38.2577770Z             :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-06-01T21:26:38.2577890Z             Need to initialize the RPC Framework if specified as ``True``.
2025-06-01T21:26:38.2577940Z             Default: ``False``.
2025-06-01T21:26:38.2577980Z     
2025-06-01T21:26:38.2578010Z     Returns:
2025-06-01T21:26:38.2578100Z         A :class:`ShardedTensor` object handle on this rank
2025-06-01T21:26:38.2578160Z     
2025-06-01T21:26:38.2578200Z     
2025-06-01T21:26:38.2578250Z     Examples:
2025-06-01T21:26:38.2578400Z         Suppose we want construct a sharded tensor on two ranks, global size = (10, 5),
2025-06-01T21:26:38.2578510Z         each shard have a (5, 5) local tensor, we can do it like below:
2025-06-01T21:26:38.2578550Z     
2025-06-01T21:26:38.2578590Z         on rank 0:
2025-06-01T21:26:38.2578660Z         >>> # xdoctest: +SKIP("not distributed")
2025-06-01T21:26:38.2578730Z         >>> local_shard_metadata = ShardMetadata(
2025-06-01T21:26:38.2578790Z         >>>     shard_offsets=[0, 0],
2025-06-01T21:26:38.2578840Z         >>>     shard_lengths=[5, 5],
2025-06-01T21:26:38.2578900Z         >>>     placement="rank:0/cuda:0"
2025-06-01T21:26:38.2578940Z         >>> )
2025-06-01T21:26:38.2579060Z         >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-06-01T21:26:38.2579180Z         >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-06-01T21:26:38.2579210Z     
2025-06-01T21:26:38.2579260Z         on rank 1:
2025-06-01T21:26:38.2579320Z         >>> # xdoctest: +SKIP("not distributed")
2025-06-01T21:26:38.2579390Z         >>> local_shard_metadata = ShardMetadata(
2025-06-01T21:26:38.2579450Z         >>>     shard_offsets=[5, 0],
2025-06-01T21:26:38.2579500Z         >>>     shard_lengths=[5, 5],
2025-06-01T21:26:38.2579560Z         >>>     placement="rank:1/cuda:1"
2025-06-01T21:26:38.2579600Z         >>> )
2025-06-01T21:26:38.2579710Z         >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-06-01T21:26:38.2579830Z         >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-06-01T21:26:38.2579870Z     
2025-06-01T21:26:38.2580010Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2580050Z     
2025-06-01T21:26:38.2580100Z       warnings.warn(msg)
2025-06-01T21:26:38.2580140Z     
2025-06-01T21:26:38.2580230Z --- Parse Warning: 76 / 118 ---
2025-06-01T21:26:38.2581040Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835.
2025-06-01T21:26:38.2581190Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2581250Z     
2025-06-01T21:26:38.2581400Z     Initialize a ShardedTensor given only one local tensor, global sharded tensor
2025-06-01T21:26:38.2581460Z     size and sharding spec on each rank.
2025-06-01T21:26:38.2581500Z     
2025-06-01T21:26:38.2581540Z     Args:
2025-06-01T21:26:38.2581670Z         local_tensor (Tensor): Single tensor of local shard stored in each rank.
2025-06-01T21:26:38.2581830Z         sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`):
2025-06-01T21:26:38.2581930Z             The specification describing how to shard the Tensor.
2025-06-01T21:26:38.2582050Z         global_size (Sequence[int]): Size of the sharded tensor.
2025-06-01T21:26:38.2582220Z         process_group (ProcessGroup, optional): The process group to aggregate on.
2025-06-01T21:26:38.2582270Z             Default: None
2025-06-01T21:26:38.2582370Z         init_rrefs (bool, optional): Whether or not to initialize
2025-06-01T21:26:38.2582500Z             :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-06-01T21:26:38.2582610Z             Need to initialize the RPC Framework if specified as ``True``.
2025-06-01T21:26:38.2582660Z             Default: ``False``.
2025-06-01T21:26:38.2582700Z     
2025-06-01T21:26:38.2582740Z     Returns:
2025-06-01T21:26:38.2582890Z         A :class:`ShardedTensor` sharded based on the given sharding_spec with local
2025-06-01T21:26:38.2582950Z             tensor stored in the current rank.
2025-06-01T21:26:38.2582990Z     
2025-06-01T21:26:38.2583050Z     Examples:
2025-06-01T21:26:38.2583110Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2583190Z         >>> # All tensors below are of torch.int64 type.
2025-06-01T21:26:38.2583260Z         >>> # We have 2 process groups, 2 ranks.
2025-06-01T21:26:38.2583360Z         >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank
2025-06-01T21:26:38.2583480Z         >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2]))
2025-06-01T21:26:38.2583530Z         >>> local_tensor
2025-06-01T21:26:38.2583590Z         tensor([[1, 2, 3, 4]]) # Rank 0
2025-06-01T21:26:38.2583640Z         tensor([[3, 4, 5, 6]]) # Rank 1
2025-06-01T21:26:38.2583690Z         >>> sharding_dim = 0
2025-06-01T21:26:38.2583760Z         >>> sharding_spec = ChunkShardingSpec(
2025-06-01T21:26:38.2583810Z                 dim=sharding_dim,
2025-06-01T21:26:38.2583860Z                 placements=[
2025-06-01T21:26:38.2583910Z                     "rank:0/cuda:0",
2025-06-01T21:26:38.2583970Z                     "rank:1/cuda:1",
2025-06-01T21:26:38.2584010Z                 ],
2025-06-01T21:26:38.2584050Z             )
2025-06-01T21:26:38.2584120Z         >>> st = ShardedTensor._init_from_local_tensor(
2025-06-01T21:26:38.2584200Z         ...     local_tensor, sharding_spec, [2, 4]
2025-06-01T21:26:38.2584230Z         ... )
2025-06-01T21:26:38.2584270Z         >>> st
2025-06-01T21:26:38.2584320Z         ShardedTensor(
2025-06-01T21:26:38.2584380Z             ShardedTensorMetadata(
2025-06-01T21:26:38.2584430Z                 shards_metadata=[
2025-06-01T21:26:38.2584590Z                     ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0),
2025-06-01T21:26:38.2584750Z                     ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1),
2025-06-01T21:26:38.2584790Z                 ],
2025-06-01T21:26:38.2584850Z                 size=torch.Size([2, 4])
2025-06-01T21:26:38.2584880Z         )
2025-06-01T21:26:38.2584940Z         >>> st.local_tensor()
2025-06-01T21:26:38.2584990Z         tensor([1, 2, 3, 4]) # Rank 0
2025-06-01T21:26:38.2585040Z         tensor([3, 4, 5, 6]) # Rank 1
2025-06-01T21:26:38.2585080Z     
2025-06-01T21:26:38.2585240Z     Warning: This API is experimental and subject to change. It lacks of a fully across
2025-06-01T21:26:38.2585380Z              rank validations, and we only validate the local shard on the current rank.
2025-06-01T21:26:38.2585510Z              We fully rely on the user to ensure local tensor is sharded based on the
2025-06-01T21:26:38.2585590Z              sharding spec.
2025-06-01T21:26:38.2585630Z     
2025-06-01T21:26:38.2585780Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2585820Z     
2025-06-01T21:26:38.2585870Z       warnings.warn(msg)
2025-06-01T21:26:38.2585900Z     
2025-06-01T21:26:38.2586000Z --- Parse Warning: 77 / 118 ---
2025-06-01T21:26:38.2586800Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor.reshard in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076.
2025-06-01T21:26:38.2586980Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2587010Z     
2025-06-01T21:26:38.2587160Z     Reshard a sharded tensor given the ``resharding_spec``. For now, we only support
2025-06-01T21:26:38.2587210Z     single local shard.
2025-06-01T21:26:38.2587250Z     
2025-06-01T21:26:38.2587380Z     If ``resharding_spec`` is same as the original one, this becomes a no-op.
2025-06-01T21:26:38.2587520Z     If only ``resharding_spec`` shares the same sharding dim with the original one,
2025-06-01T21:26:38.2587580Z     we swap local shards directly.
2025-06-01T21:26:38.2587740Z     For more generic cases, we merge different shards across different ranks and split
2025-06-01T21:26:38.2587900Z     the local shards based on the ``resharding_spec`` via `all_to_all` collective API.
2025-06-01T21:26:38.2587940Z     
2025-06-01T21:26:38.2587980Z     Args:
2025-06-01T21:26:38.2588150Z         resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The
2025-06-01T21:26:38.2588250Z             specification describing how the tensor is sharded.
2025-06-01T21:26:38.2588290Z     
2025-06-01T21:26:38.2588330Z     Returns:
2025-06-01T21:26:38.2588450Z         A :class:`ShardedTensor` object whose local shards are resharded.
2025-06-01T21:26:38.2588490Z     
2025-06-01T21:26:38.2588530Z     Examples:
2025-06-01T21:26:38.2588580Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2588650Z         >>> # We have 2 process groups, 2 ranks.
2025-06-01T21:26:38.2588760Z         >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank
2025-06-01T21:26:38.2588830Z         >>> tensor = torch.stack([tensor, tensor])
2025-06-01T21:26:38.2588870Z         >>> tensor
2025-06-01T21:26:38.2588940Z         tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0
2025-06-01T21:26:38.2589010Z         tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1
2025-06-01T21:26:38.2589080Z         tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2
2025-06-01T21:26:38.2589150Z         tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3
2025-06-01T21:26:38.2589200Z         >>> sharding_dim = 0
2025-06-01T21:26:38.2589260Z         >>> spec = ChunkShardingSpec(
2025-06-01T21:26:38.2589310Z                 dim=sharding_dim,
2025-06-01T21:26:38.2589360Z                 placements=[
2025-06-01T21:26:38.2589410Z                     "rank:0/cuda:0",
2025-06-01T21:26:38.2589460Z                     "rank:1/cuda:1",
2025-06-01T21:26:38.2589510Z                     "rank:2/cuda:2",
2025-06-01T21:26:38.2589560Z                     "rank:3/cuda:3",
2025-06-01T21:26:38.2589600Z                 ],
2025-06-01T21:26:38.2589640Z             )
2025-06-01T21:26:38.2589690Z         >>> current_offsets = [0] * 2
2025-06-01T21:26:38.2589750Z         >>> current_offsets[0] = rank * 2
2025-06-01T21:26:38.2589810Z         >>> shard_metadata = ShardMetadata(
2025-06-01T21:26:38.2589910Z                 shard_offsets=copy.deepcopy(current_offsets),
2025-06-01T21:26:38.2589970Z                 shard_sizes=tensor.size(),
2025-06-01T21:26:38.2590040Z                 placement=spec.placements[rank],
2025-06-01T21:26:38.2590080Z             )
2025-06-01T21:26:38.2590130Z         >>> local_shards = [
2025-06-01T21:26:38.2590170Z                 Shard(
2025-06-01T21:26:38.2590240Z                     tensor=tensor,
2025-06-01T21:26:38.2590300Z                     metadata=shard_metadata,
2025-06-01T21:26:38.2590340Z                 )
2025-06-01T21:26:38.2590380Z             ]
2025-06-01T21:26:38.2590520Z         >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size())
2025-06-01T21:26:38.2590570Z         >>> sharding_dim = 1
2025-06-01T21:26:38.2590640Z         >>> resharding_spec = ChunkShardingSpec(
2025-06-01T21:26:38.2590700Z                 dim=sharding_dim,
2025-06-01T21:26:38.2590740Z                 placements=[
2025-06-01T21:26:38.2590810Z                     "rank:0/cuda:0",
2025-06-01T21:26:38.2590880Z                     "rank:1/cuda:1",
2025-06-01T21:26:38.2590930Z                     "rank:2/cuda:2",
2025-06-01T21:26:38.2590980Z                     "rank:3/cuda:3",
2025-06-01T21:26:38.2591020Z                 ],
2025-06-01T21:26:38.2591060Z             )
2025-06-01T21:26:38.2591110Z         >>> st.reshard(resharding_spec)
2025-06-01T21:26:38.2591180Z         >>> tensor = st.local_shards()[0].tensor
2025-06-01T21:26:38.2591220Z         >>> tensor
2025-06-01T21:26:38.2591310Z         tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0
2025-06-01T21:26:38.2591390Z         tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1
2025-06-01T21:26:38.2591470Z         tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2
2025-06-01T21:26:38.2591560Z         tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3
2025-06-01T21:26:38.2591620Z     
2025-06-01T21:26:38.2591770Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2591810Z     
2025-06-01T21:26:38.2591860Z       warnings.warn(msg)
2025-06-01T21:26:38.2591900Z     
2025-06-01T21:26:38.2592000Z --- Parse Warning: 78 / 118 ---
2025-06-01T21:26:38.2592740Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardingPlan in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12.
2025-06-01T21:26:38.2592900Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2592940Z     
2025-06-01T21:26:38.2593070Z     Representation of a sharding plan, describes how to shard a module
2025-06-01T21:26:38.2593230Z     across hosts. `plan` is used to shard module parameters according to the spec provided,
2025-06-01T21:26:38.2593410Z     `output_plan` and `return_local_tensor` are optional, they are used to specify the output
2025-06-01T21:26:38.2593560Z     layout of a module with a spec, and when to convert back to data parallel fashion.
2025-06-01T21:26:38.2593600Z     
2025-06-01T21:26:38.2593630Z     Args:
2025-06-01T21:26:38.2593800Z         plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`,
2025-06-01T21:26:38.2593900Z               :class:`torch.distributed._shard.sharder.Sharder`]):
2025-06-01T21:26:38.2594060Z             a dict describes how to shard a module, there're currently two ways to shard a module:
2025-06-01T21:26:38.2594210Z                 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of
2025-06-01T21:26:38.2594290Z                    a parameter to a `ShardingSpec`.
2025-06-01T21:26:38.2594440Z                 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module
2025-06-01T21:26:38.2594500Z                    to a `Sharder` object.
2025-06-01T21:26:38.2594690Z         output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional):
2025-06-01T21:26:38.2594850Z             a dict specifies the layout of a module's output which produces a ShardedTensor,
2025-06-01T21:26:38.2594990Z             keyed by the name of module to ShardingSpec("" in key means the root module).
2025-06-01T21:26:38.2595040Z             Default: `None`
2025-06-01T21:26:38.2595230Z         return_local_tensor (List[str], optional): a list of string, each element enables
2025-06-01T21:26:38.2595380Z             a module's sharded output to be returned as a Tensor from its local shards to
2025-06-01T21:26:38.2595520Z             ensure further processing in a data parallel fashion. ("" in list means the
2025-06-01T21:26:38.2595570Z             root module).
2025-06-01T21:26:38.2595620Z             Default: None
2025-06-01T21:26:38.2595660Z     Example:
2025-06-01T21:26:38.2595830Z       Suppose we want to shard a module with two linear layers and then run it with DDP, we also
2025-06-01T21:26:38.2596020Z       want to convert the output of the second linear layer back to DDP, we can do it as follows:
2025-06-01T21:26:38.2596090Z     
2025-06-01T21:26:38.2596190Z         >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d)
2025-06-01T21:26:38.2596250Z         >>> class MyModule(nn.Module):
2025-06-01T21:26:38.2596310Z         >>>     def __init__(self) -> None:
2025-06-01T21:26:38.2596370Z         >>>        super().__init__()
2025-06-01T21:26:38.2596420Z         >>>        self.fc1 = nn.Linear()
2025-06-01T21:26:38.2596480Z         >>>        self.gelu = nn.GELU()
2025-06-01T21:26:38.2596530Z         >>>        self.fc2 = nn.Linear()
2025-06-01T21:26:38.2596590Z         >>>        self.relu = nn.Linear()
2025-06-01T21:26:38.2596630Z         >>>
2025-06-01T21:26:38.2596690Z         >>>     def forward(self, input):
2025-06-01T21:26:38.2596810Z         >>>         return self.relu(self.fc2(self.gelu(self.fc1(input))))
2025-06-01T21:26:38.2596850Z     
2025-06-01T21:26:38.2596890Z     
2025-06-01T21:26:38.2596970Z         >>> # xdoctest: +SKIP("Undefined spec1, spec2)
2025-06-01T21:26:38.2597030Z         >>> sharding_plan = ShardingPlan(
2025-06-01T21:26:38.2597070Z         >>>    plan={
2025-06-01T21:26:38.2597130Z         >>>        "fc1.weight": spec1,
2025-06-01T21:26:38.2597180Z         >>>        "fc2.weight": spec2
2025-06-01T21:26:38.2597220Z         >>>    },
2025-06-01T21:26:38.2597270Z         >>>    output_plan={
2025-06-01T21:26:38.2597330Z         >>>        "fc2": output_spec
2025-06-01T21:26:38.2597360Z         >>>    },
2025-06-01T21:26:38.2597420Z         >>>    return_local_tensor=["fc2"]
2025-06-01T21:26:38.2597460Z         >>> )
2025-06-01T21:26:38.2597500Z     
2025-06-01T21:26:38.2597650Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2597690Z     
2025-06-01T21:26:38.2597740Z       warnings.warn(msg)
2025-06-01T21:26:38.2597780Z     
2025-06-01T21:26:38.2597880Z --- Parse Warning: 79 / 118 ---
2025-06-01T21:26:38.2598670Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_sharding in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=26.
2025-06-01T21:26:38.2598830Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2598870Z     
2025-06-01T21:26:38.2599030Z     :meth:`register_sharding` is an experimental API that allows users to register sharding
2025-06-01T21:26:38.2599170Z     strategies for an operator when the tensor inputs and outputs are DTensor.
2025-06-01T21:26:38.2599320Z     It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``,
2025-06-01T21:26:38.2599470Z     e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2)
2025-06-01T21:26:38.2599630Z     when users would like to overwrite default sharding strategies of existing operators.
2025-06-01T21:26:38.2599670Z     
2025-06-01T21:26:38.2599710Z     Args:
2025-06-01T21:26:38.2599780Z         op (Union[OpOverload, List[OpOverload]]):
2025-06-01T21:26:38.2599900Z             An op or a list of ops to register the customized sharding function.
2025-06-01T21:26:38.2599940Z     
2025-06-01T21:26:38.2600000Z     Returns:
2025-06-01T21:26:38.2600160Z         A function decorator which can be used to wrap a function that defines the sharding
2025-06-01T21:26:38.2600320Z         strategy for the operator specified in ``op``. The defined sharding strategy will be
2025-06-01T21:26:38.2600480Z         registered to DTensor and will override the default sharding strategy if DTensor has
2025-06-01T21:26:38.2600660Z         already implemented the operator. The customized sharding function takes the same inputs
2025-06-01T21:26:38.2600800Z         as the original op (except that if an arg is a :class:`torch.Tensor`, it will be
2025-06-01T21:26:38.2600980Z         replaced by a tensor-like object that DTensor uses internally). The function should
2025-06-01T21:26:38.2601160Z         return a sequence of 2-tuples, each specifying acceptable output placements and its
2025-06-01T21:26:38.2601230Z         corresponding intput placements.
2025-06-01T21:26:38.2601270Z     
2025-06-01T21:26:38.2601310Z     Example:
2025-06-01T21:26:38.2601380Z         >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:38.2601450Z         >>> @register_sharding(aten._softmax.default)
2025-06-01T21:26:38.2601550Z         >>> def custom_softmax_sharding(x, dim, half_to_float):
2025-06-01T21:26:38.2601630Z         >>>     softmax_dim = dim if dim >= 0 else dim + x.ndim
2025-06-01T21:26:38.2601690Z         >>>     acceptable_shardings = []
2025-06-01T21:26:38.2601730Z         >>>
2025-06-01T21:26:38.2601860Z         >>>     all_replicate = ([Replicate()], [Replicate(), None, None])
2025-06-01T21:26:38.2601950Z         >>>     acceptable_shardings.append(all_replicate)
2025-06-01T21:26:38.2601990Z         >>>
2025-06-01T21:26:38.2602060Z         >>>     for sharding_dim in range(x.ndim):
2025-06-01T21:26:38.2602120Z         >>>         if sharding_dim != softmax_dim:
2025-06-01T21:26:38.2602180Z         >>>             all_sharded = (
2025-06-01T21:26:38.2602240Z         >>>                 [Shard(sharding_dim)],
2025-06-01T21:26:38.2602320Z         >>>                 [Shard(sharding_dim), None, None],
2025-06-01T21:26:38.2602360Z         >>>             )
2025-06-01T21:26:38.2602450Z         >>>             acceptable_shardings.append(all_sharded)
2025-06-01T21:26:38.2602490Z         >>>
2025-06-01T21:26:38.2602550Z         >>>     return acceptable_shardings
2025-06-01T21:26:38.2602590Z     
2025-06-01T21:26:38.2602700Z     .. note:: This API is currently experimental and subject to change
2025-06-01T21:26:38.2602740Z     
2025-06-01T21:26:38.2602900Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2602930Z     
2025-06-01T21:26:38.2602980Z       warnings.warn(msg)
2025-06-01T21:26:38.2603020Z     
2025-06-01T21:26:38.2603120Z --- Parse Warning: 80 / 118 ---
2025-06-01T21:26:38.2603870Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=local_map in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_func_map.py line=34.
2025-06-01T21:26:38.2604020Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2604060Z     
2025-06-01T21:26:38.2604220Z     :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s
2025-06-01T21:26:38.2604380Z     to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting
2025-06-01T21:26:38.2604540Z     the local components of :class:`DTensor`, call the function, and wrap the outputs to
2025-06-01T21:26:38.2604640Z     :class:`DTensor` according to the ``out_placements``.
2025-06-01T21:26:38.2604680Z     
2025-06-01T21:26:38.2604720Z     Args:
2025-06-01T21:26:38.2604840Z         func (Callable): the function to be applied on each local shard of
2025-06-01T21:26:38.2604890Z             :class:`DTensor` s.
2025-06-01T21:26:38.2605030Z         out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]):
2025-06-01T21:26:38.2605220Z             the desired placements of the :class:`DTensor` s in ``func``'s flattened output.
2025-06-01T21:26:38.2605360Z             If the flattened ``output`` is a single value, the ``out_placements`` should be
2025-06-01T21:26:38.2605500Z             of type `PlacementType`. Otherwise if the flattened ``output`` has multiple
2025-06-01T21:26:38.2605660Z             values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1
2025-06-01T21:26:38.2605730Z             mapping to the flattened ``output``.
2025-06-01T21:26:38.2605870Z             Besides, for :class:`Tensor` output, we use `PlacementType` as its
2025-06-01T21:26:38.2606050Z             placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType`
2025-06-01T21:26:38.2606100Z             should be `None`.
2025-06-01T21:26:38.2606240Z             Note that the only exception is when no :class:`DTensor` argument is passed
2025-06-01T21:26:38.2606380Z             in. In this case, even if `out_placements` is not `None`, the result function
2025-06-01T21:26:38.2606530Z             should ignore the desired placements because the function is not running with
2025-06-01T21:26:38.2606580Z             :class:`DTensor` s.
2025-06-01T21:26:38.2606680Z         in_placements (Tuple[`PlacementType`, ...], optional):
2025-06-01T21:26:38.2606860Z             the required placements of the :class:`DTensor` s in the flattened inputs of ``func``.
2025-06-01T21:26:38.2607000Z             If ``in_placements`` is specified, :meth:`local_map` would examine whether the
2025-06-01T21:26:38.2607140Z             placements of each :class:`DTensor` argument is the same as the required
2025-06-01T21:26:38.2607250Z             placements or not. If the placements are not the same and
2025-06-01T21:26:38.2607400Z             ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if
2025-06-01T21:26:38.2607540Z             ``redistribute_inputs`` is ``True``, the argument will be first redistributed to
2025-06-01T21:26:38.2607700Z             the required sharding placements before passing its local tensor to ``func``.
2025-06-01T21:26:38.2607830Z             The only exception is when required placements are not ``None`` and the
2025-06-01T21:26:38.2607970Z             argument is a :class:`torch.Tensor`. In this case, the placements examination
2025-06-01T21:26:38.2608100Z             will be skipped and the argument will be directly passed to ``func``.
2025-06-01T21:26:38.2608240Z             If ``in_placements`` is ``None``, no placements examination will be performed.
2025-06-01T21:26:38.2610850Z             Default: None
2025-06-01T21:26:38.2610950Z         device_mesh (:class:`DeviceMesh`, optional):
2025-06-01T21:26:38.2611080Z             the device mesh that all the :class:`DTensor` s are placed on. If not
2025-06-01T21:26:38.2611220Z             specified, this will be inferred from the input :class:`DTensor` s' device
2025-06-01T21:26:38.2611360Z             mesh. `local_map` requires every :class:`DTensor` s to be placed on the same
2025-06-01T21:26:38.2611420Z             device mesh. Default: None.
2025-06-01T21:26:38.2611490Z         redistribute_inputs (bool, optional):
2025-06-01T21:26:38.2611640Z             the bool value indicating whether to reshard the input :class:`DTensor` s when
2025-06-01T21:26:38.2611780Z             their placements are different from the required input placements. If this
2025-06-01T21:26:38.2611920Z             value is ``False`` and some :class:`DTensor` input has a different placement,
2025-06-01T21:26:38.2612000Z             an exception will be raised. Default: False.
2025-06-01T21:26:38.2612040Z     
2025-06-01T21:26:38.2612080Z     Returns:
2025-06-01T21:26:38.2612240Z         A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor`
2025-06-01T21:26:38.2612380Z         and returns a :class:`DTensor` constructed from the return value of ``func``.
2025-06-01T21:26:38.2612500Z     
2025-06-01T21:26:38.2612540Z     Raises:
2025-06-01T21:26:38.2612690Z         AssertionError: If the input :class:`DTensor` is not placed on the same device
2025-06-01T21:26:38.2612830Z             mesh, or if they are placed on a different device mesh than the ``device_mesh``
2025-06-01T21:26:38.2612890Z             argument passed in.
2025-06-01T21:26:38.2612930Z     
2025-06-01T21:26:38.2613070Z         AssertionError: For any non-DTensor output, we require its corresponding
2025-06-01T21:26:38.2613220Z             output placement in ``out_placements`` be None. An AssertionError will be raised
2025-06-01T21:26:38.2613300Z             if this is not the case.
2025-06-01T21:26:38.2613350Z     
2025-06-01T21:26:38.2613510Z         ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs
2025-06-01T21:26:38.2613600Z             a redistribution according to ``in_placements``.
2025-06-01T21:26:38.2613640Z     
2025-06-01T21:26:38.2613680Z     Example:
2025-06-01T21:26:38.2613740Z         >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:38.2613820Z         >>> def mm_allreduce_forward(device_mesh, W, X):
2025-06-01T21:26:38.2613890Z         >>>     partial_sum_tensor = torch.mm(W, X)
2025-06-01T21:26:38.2614040Z         >>>     reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh)
2025-06-01T21:26:38.2614090Z         >>>     return reduced_tensor
2025-06-01T21:26:38.2614130Z         >>>
2025-06-01T21:26:38.2614240Z         >>> W = torch.randn(12, 8, requires_grad=False)
2025-06-01T21:26:38.2614310Z         >>> X = torch.randn(8, 16, requires_grad=False)
2025-06-01T21:26:38.2614370Z         >>> Y = torch.mm(W, X)
2025-06-01T21:26:38.2614480Z         >>> row_wise = [Shard(0)]  # row-wise sharding placements on 1-d mesh
2025-06-01T21:26:38.2614590Z         >>> col_wise = [Shard(1)]  # col-wise sharding placements on 1-d mesh
2025-06-01T21:26:38.2614630Z         >>>
2025-06-01T21:26:38.2614800Z         >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor convertion
2025-06-01T21:26:38.2614870Z         >>> local_mm_allreduce_forward = local_map(
2025-06-01T21:26:38.2614920Z         >>>     mm_allreduce_forward,
2025-06-01T21:26:38.2614990Z         >>>     out_placements=[Replicate()],
2025-06-01T21:26:38.2615060Z         >>>     in_placements=[col_wise, row_wise],
2025-06-01T21:26:38.2615120Z         >>>     device_mesh=device_mesh,
2025-06-01T21:26:38.2615150Z         >>> )
2025-06-01T21:26:38.2615200Z         >>>
2025-06-01T21:26:38.2615250Z         >>> W_dt = distribute_tensor(
2025-06-01T21:26:38.2615310Z         ...     W, device_mesh, (col_wise)
2025-06-01T21:26:38.2615370Z         ... )  # col-wisely sharded W tensor
2025-06-01T21:26:38.2615430Z         >>> X_dt = distribute_tensor(
2025-06-01T21:26:38.2615490Z         ...     X, device_mesh, (row_wise)
2025-06-01T21:26:38.2615550Z         ... )  # row-wisely sharded X tensor
2025-06-01T21:26:38.2615610Z         >>> Y_dt = local_mm_allreduce_forward(
2025-06-01T21:26:38.2615670Z         ...     device_mesh, W_dt, X_dt
2025-06-01T21:26:38.2615760Z         ... )  # apply local_mm_allreduce_forward to DTensors
2025-06-01T21:26:38.2615790Z     
2025-06-01T21:26:38.2615920Z     .. note:: This API is currently experimental and subject to change
2025-06-01T21:26:38.2615950Z     
2025-06-01T21:26:38.2616100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2616140Z     
2025-06-01T21:26:38.2616190Z       warnings.warn(msg)
2025-06-01T21:26:38.2616230Z     
2025-06-01T21:26:38.2616340Z --- Parse Warning: 81 / 118 ---
2025-06-01T21:26:38.2617110Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInput in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=428.
2025-06-01T21:26:38.2617270Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2617330Z     
2025-06-01T21:26:38.2617550Z     Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to
2025-06-01T21:26:38.2617740Z     ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``.
2025-06-01T21:26:38.2617780Z     
2025-06-01T21:26:38.2617830Z     Keyword Args:
2025-06-01T21:26:38.2617950Z         input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-06-01T21:26:38.2618200Z             The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-06-01T21:26:38.2618440Z             DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-06-01T21:26:38.2618510Z             as a placeholder. default: None.
2025-06-01T21:26:38.2618640Z         desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-06-01T21:26:38.2618870Z             The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-06-01T21:26:38.2619090Z             have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-06-01T21:26:38.2619170Z         input_kwarg_layouts (Dict[str, Placement]):
2025-06-01T21:26:38.2619410Z             The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-06-01T21:26:38.2619460Z             default: None
2025-06-01T21:26:38.2619560Z         desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-06-01T21:26:38.2619780Z             The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-06-01T21:26:38.2619860Z             have the desired DTensor layouts. default: None.
2025-06-01T21:26:38.2619930Z         use_local_output (bool, optional):
2025-06-01T21:26:38.2620140Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-06-01T21:26:38.2620180Z     Returns:
2025-06-01T21:26:38.2620370Z         A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs.
2025-06-01T21:26:38.2620410Z     
2025-06-01T21:26:38.2620450Z     Example::
2025-06-01T21:26:38.2620510Z         >>> # xdoctest: +SKIP(failing)
2025-06-01T21:26:38.2620690Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput
2025-06-01T21:26:38.2620810Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-06-01T21:26:38.2620860Z         >>> ...
2025-06-01T21:26:38.2621040Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-06-01T21:26:38.2621110Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-06-01T21:26:38.2621160Z         >>>
2025-06-01T21:26:38.2621350Z         >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor
2025-06-01T21:26:38.2621440Z         >>> # and then redistributed to Replicated DTensor.
2025-06-01T21:26:38.2621490Z         >>> parallelize_module(
2025-06-01T21:26:38.2621570Z         >>>     block, # this can be a submodule or module
2025-06-01T21:26:38.2621620Z         >>>     tp_mesh,
2025-06-01T21:26:38.2621670Z         >>>     parallelize_plan={
2025-06-01T21:26:38.2621740Z         >>>         "attn": PrepareModuleInput(
2025-06-01T21:26:38.2621830Z         >>>             input_layouts=(Shard(0), None, None, ...),
2025-06-01T21:26:38.2621930Z         >>>             desired_input_layouts=(Replicate(), None, None, ...)
2025-06-01T21:26:38.2621970Z         >>>         ),
2025-06-01T21:26:38.2622020Z         >>>     }
2025-06-01T21:26:38.2622050Z         >>> )
2025-06-01T21:26:38.2622090Z     
2025-06-01T21:26:38.2622240Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2622320Z     
2025-06-01T21:26:38.2622370Z       warnings.warn(msg)
2025-06-01T21:26:38.2622410Z     
2025-06-01T21:26:38.2622510Z --- Parse Warning: 82 / 118 ---
2025-06-01T21:26:38.2623280Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleOutput in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=597.
2025-06-01T21:26:38.2623450Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2623510Z     
2025-06-01T21:26:38.2623740Z     Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to
2025-06-01T21:26:38.2623940Z     ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``.
2025-06-01T21:26:38.2623980Z     
2025-06-01T21:26:38.2624020Z     Keyword Args:
2025-06-01T21:26:38.2624120Z         output_layouts (Union[Placement, Tuple[Placement]]):
2025-06-01T21:26:38.2624320Z             The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-06-01T21:26:38.2624540Z             DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-06-01T21:26:38.2624650Z             ``None`` need to be specified as a placeholder.
2025-06-01T21:26:38.2624770Z         desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-06-01T21:26:38.2625000Z             The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-06-01T21:26:38.2625060Z             have the desired DTensor layouts.
2025-06-01T21:26:38.2625120Z         use_local_output (bool, optional):
2025-06-01T21:26:38.2625340Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-06-01T21:26:38.2625380Z     Returns:
2025-06-01T21:26:38.2625550Z         A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs.
2025-06-01T21:26:38.2625590Z     
2025-06-01T21:26:38.2625630Z     Example::
2025-06-01T21:26:38.2625690Z         >>> # xdoctest: +SKIP(failing)
2025-06-01T21:26:38.2625870Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput
2025-06-01T21:26:38.2625990Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-06-01T21:26:38.2626030Z         >>> ...
2025-06-01T21:26:38.2626220Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-06-01T21:26:38.2626290Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-06-01T21:26:38.2626330Z         >>>
2025-06-01T21:26:38.2626560Z         >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor
2025-06-01T21:26:38.2626650Z         >>> # and then redistributed to Sharded DTensor.
2025-06-01T21:26:38.2626700Z         >>> parallelize_module(
2025-06-01T21:26:38.2626780Z         >>>     block, # this can be a submodule or module
2025-06-01T21:26:38.2626820Z         >>>     tp_mesh,
2025-06-01T21:26:38.2626910Z         >>>     parallelize_plan = PrepareModuleOutput(
2025-06-01T21:26:38.2626970Z         >>>         output_layouts=Replicate(),
2025-06-01T21:26:38.2627040Z         >>>         desired_output_layouts=Shard(0)
2025-06-01T21:26:38.2627080Z         >>>     )
2025-06-01T21:26:38.2627120Z         >>> )
2025-06-01T21:26:38.2627160Z     
2025-06-01T21:26:38.2627310Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2627350Z     
2025-06-01T21:26:38.2627400Z       warnings.warn(msg)
2025-06-01T21:26:38.2627430Z     
2025-06-01T21:26:38.2627530Z --- Parse Warning: 83 / 118 ---
2025-06-01T21:26:38.2628370Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInputOutput in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=705.
2025-06-01T21:26:38.2628530Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2628560Z     
2025-06-01T21:26:38.2628840Z     Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module
2025-06-01T21:26:38.2629110Z     to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution
2025-06-01T21:26:38.2629330Z     according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of
2025-06-01T21:26:38.2629450Z     :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`.
2025-06-01T21:26:38.2629490Z     
2025-06-01T21:26:38.2629540Z     Keyword Args:
2025-06-01T21:26:38.2629660Z         input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-06-01T21:26:38.2629850Z             The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-06-01T21:26:38.2630060Z             DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-06-01T21:26:38.2630140Z             as a placeholder. default: None.
2025-06-01T21:26:38.2630280Z         desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-06-01T21:26:38.2630510Z             The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-06-01T21:26:38.2630730Z             have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-06-01T21:26:38.2630820Z         input_kwarg_layouts (Dict[str, Placement]):
2025-06-01T21:26:38.2631030Z             The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-06-01T21:26:38.2631080Z             default: None
2025-06-01T21:26:38.2631180Z         desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-06-01T21:26:38.2631390Z             The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-06-01T21:26:38.2631480Z             have the desired DTensor layouts. default: None.
2025-06-01T21:26:38.2631540Z         use_local_input (bool, optional):
2025-06-01T21:26:38.2631760Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-06-01T21:26:38.2631850Z         output_layouts (Union[Placement, Tuple[Placement]]):
2025-06-01T21:26:38.2632050Z             The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-06-01T21:26:38.2632270Z             DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-06-01T21:26:38.2632360Z             ``None`` need to be specified as a placeholder.
2025-06-01T21:26:38.2632470Z         desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-06-01T21:26:38.2632700Z             The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-06-01T21:26:38.2632770Z             have the desired DTensor layouts.
2025-06-01T21:26:38.2632830Z         use_local_output (bool, optional):
2025-06-01T21:26:38.2633040Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-06-01T21:26:38.2633080Z     Returns:
2025-06-01T21:26:38.2633290Z         A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs.
2025-06-01T21:26:38.2633360Z     
2025-06-01T21:26:38.2633400Z     Example::
2025-06-01T21:26:38.2633460Z         >>> # xdoctest: +SKIP(failing)
2025-06-01T21:26:38.2633660Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput
2025-06-01T21:26:38.2633770Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-06-01T21:26:38.2633810Z         >>> ...
2025-06-01T21:26:38.2634000Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-06-01T21:26:38.2634070Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-06-01T21:26:38.2634130Z         >>>
2025-06-01T21:26:38.2634340Z         >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor
2025-06-01T21:26:38.2634550Z         >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated
2025-06-01T21:26:38.2634680Z         >>> # as Replicated DTensor and then redistributed to Sharded DTensor.
2025-06-01T21:26:38.2634730Z         >>> parallelize_module(
2025-06-01T21:26:38.2634810Z         >>>     block, # this can be a submodule or module
2025-06-01T21:26:38.2634860Z         >>>     tp_mesh,
2025-06-01T21:26:38.2634910Z         >>>     parallelize_plan={
2025-06-01T21:26:38.2635000Z         >>>         "attn": PrepareModuleInputOutput(
2025-06-01T21:26:38.2635080Z         >>>             input_layouts=(Shard(0), None, None, ...),
2025-06-01T21:26:38.2635240Z         >>>             desired_input_layouts=(Replicate(), None, None, ...),
2025-06-01T21:26:38.2635310Z         >>>             output_layouts=Replicate(),
2025-06-01T21:26:38.2635380Z         >>>             desired_output_layouts=Shard(0),
2025-06-01T21:26:38.2635430Z         >>>         ),
2025-06-01T21:26:38.2635470Z         >>>     }
2025-06-01T21:26:38.2635500Z         >>> )
2025-06-01T21:26:38.2635540Z     
2025-06-01T21:26:38.2635690Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2635730Z     
2025-06-01T21:26:38.2635780Z       warnings.warn(msg)
2025-06-01T21:26:38.2635820Z     
2025-06-01T21:26:38.2635920Z --- Parse Warning: 84 / 118 ---
2025-06-01T21:26:38.2636640Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_execution in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=6.
2025-06-01T21:26:38.2636790Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2636830Z     
2025-06-01T21:26:38.2636970Z     A decorator for a function indicating that the return value of the function
2025-06-01T21:26:38.2637100Z     is guaranteed to be a :class:`~torch.futures.Future` object and this
2025-06-01T21:26:38.2637240Z     function can run asynchronously on the RPC callee. More specifically, the
2025-06-01T21:26:38.2637380Z     callee extracts the :class:`~torch.futures.Future` returned by the wrapped
2025-06-01T21:26:38.2637520Z     function and installs subsequent processing steps as a callback to that
2025-06-01T21:26:38.2637660Z     :class:`~torch.futures.Future`. The installed callback will read the value
2025-06-01T21:26:38.2637780Z     from the :class:`~torch.futures.Future` when completed and send the
2025-06-01T21:26:38.2637890Z     value back as the RPC response. That also means the returned
2025-06-01T21:26:38.2638030Z     :class:`~torch.futures.Future` only exists on the callee side and is never
2025-06-01T21:26:38.2638160Z     sent through RPC. This decorator is useful when the wrapped function's
2025-06-01T21:26:38.2638280Z     (``fn``) execution needs to pause and resume due to, e.g., containing
2025-06-01T21:26:38.2638410Z     :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals.
2025-06-01T21:26:38.2638450Z     
2025-06-01T21:26:38.2638610Z     .. note:: To enable asynchronous execution, applications must pass the
2025-06-01T21:26:38.2638750Z         function object returned by this decorator to RPC APIs. If RPC detected
2025-06-01T21:26:38.2638880Z         attributes installed by this decorator, it knows that this function
2025-06-01T21:26:38.2638990Z         returns a ``Future`` object and will handle that accordingly.
2025-06-01T21:26:38.2639120Z         However, this does not mean this decorator has to be outmost one when
2025-06-01T21:26:38.2639250Z         defining a function. For example, when combined with ``@staticmethod``
2025-06-01T21:26:38.2639400Z         or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the
2025-06-01T21:26:38.2639560Z         inner decorator to allow the target function be recognized as a static
2025-06-01T21:26:38.2639700Z         or class function. This target function can still execute asynchronously
2025-06-01T21:26:38.2639830Z         because, when accessed, the static or class method preserves attributes
2025-06-01T21:26:38.2639920Z         installed by ``@rpc.functions.async_execution``.
2025-06-01T21:26:38.2639960Z     
2025-06-01T21:26:38.2640000Z     
2025-06-01T21:26:38.2640040Z     Example::
2025-06-01T21:26:38.2640160Z         The returned :class:`~torch.futures.Future` object can come from
2025-06-01T21:26:38.2640240Z         :meth:`~torch.distributed.rpc.rpc_async`,
2025-06-01T21:26:38.2640370Z         :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future`
2025-06-01T21:26:38.2640490Z         constructor. The example below shows directly using the
2025-06-01T21:26:38.2640580Z         :class:`~torch.futures.Future` returned by
2025-06-01T21:26:38.2640650Z         :meth:`~torch.futures.Future.then`.
2025-06-01T21:26:38.2640680Z     
2025-06-01T21:26:38.2640750Z         >>> from torch.distributed import rpc
2025-06-01T21:26:38.2640790Z         >>>
2025-06-01T21:26:38.2640860Z         >>> # omitting setup and shutdown RPC
2025-06-01T21:26:38.2640890Z         >>>
2025-06-01T21:26:38.2640940Z         >>> # On all workers
2025-06-01T21:26:38.2641010Z         >>> @rpc.functions.async_execution
2025-06-01T21:26:38.2641070Z         >>> def async_add_chained(to, x, y, z):
2025-06-01T21:26:38.2641180Z         >>>     # This function runs on "worker1" and returns immediately when
2025-06-01T21:26:38.2641300Z         >>>     # the callback is installed through the `then(cb)` API. In the
2025-06-01T21:26:38.2641410Z         >>>     # mean time, the `rpc_async` to "worker2" can run concurrently.
2025-06-01T21:26:38.2641510Z         >>>     # When the return value of that `rpc_async` arrives at
2025-06-01T21:26:38.2641620Z         >>>     # "worker1", "worker1" will run the lambda function accordingly
2025-06-01T21:26:38.2641740Z         >>>     # and set the value for the previously returned `Future`, which
2025-06-01T21:26:38.2641840Z         >>>     # will then trigger RPC to send the result back to "worker0".
2025-06-01T21:26:38.2641950Z         >>>     return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-06-01T21:26:38.2642010Z         >>>         lambda fut: fut.wait() + z
2025-06-01T21:26:38.2642050Z         >>>     )
2025-06-01T21:26:38.2642090Z         >>>
2025-06-01T21:26:38.2642130Z         >>> # On worker0
2025-06-01T21:26:38.2642180Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2642240Z         >>> ret = rpc.rpc_sync(
2025-06-01T21:26:38.2642280Z         >>>     "worker1",
2025-06-01T21:26:38.2642340Z         >>>     async_add_chained,
2025-06-01T21:26:38.2642410Z         >>>     args=("worker2", torch.ones(2), 1, 1)
2025-06-01T21:26:38.2642450Z         >>> )
2025-06-01T21:26:38.2642520Z         >>> print(ret)  # prints tensor([3., 3.])
2025-06-01T21:26:38.2642560Z     
2025-06-01T21:26:38.2642690Z         When combined with TorchScript decorators, this decorator must be the
2025-06-01T21:26:38.2642730Z         outmost one.
2025-06-01T21:26:38.2642770Z     
2025-06-01T21:26:38.2642830Z         >>> from torch import Tensor
2025-06-01T21:26:38.2642930Z         >>> from torch.futures import Future
2025-06-01T21:26:38.2643000Z         >>> from torch.distributed import rpc
2025-06-01T21:26:38.2643040Z         >>>
2025-06-01T21:26:38.2643100Z         >>> # omitting setup and shutdown RPC
2025-06-01T21:26:38.2643140Z         >>>
2025-06-01T21:26:38.2643190Z         >>> # On all workers
2025-06-01T21:26:38.2643240Z         >>> @torch.jit.script
2025-06-01T21:26:38.2643320Z         >>> def script_add(x: Tensor, y: Tensor) -> Tensor:
2025-06-01T21:26:38.2643370Z         >>>     return x + y
2025-06-01T21:26:38.2643410Z         >>>
2025-06-01T21:26:38.2643480Z         >>> @rpc.functions.async_execution
2025-06-01T21:26:38.2643560Z         >>> @torch.jit.script
2025-06-01T21:26:38.2643700Z         >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]:
2025-06-01T21:26:38.2643780Z         >>>     return rpc.rpc_async(to, script_add, (x, y))
2025-06-01T21:26:38.2643820Z         >>>
2025-06-01T21:26:38.2643860Z         >>> # On worker0
2025-06-01T21:26:38.2643920Z         >>> ret = rpc.rpc_sync(
2025-06-01T21:26:38.2643960Z         >>>     "worker1",
2025-06-01T21:26:38.2644010Z         >>>     async_add,
2025-06-01T21:26:38.2644080Z         >>>     args=("worker2", torch.ones(2), 1)
2025-06-01T21:26:38.2644120Z         >>> )
2025-06-01T21:26:38.2644180Z         >>> print(ret)  # prints tensor([2., 2.])
2025-06-01T21:26:38.2644220Z     
2025-06-01T21:26:38.2644350Z         When combined with static or class method, this decorator must be the
2025-06-01T21:26:38.2644410Z         inner one.
2025-06-01T21:26:38.2644450Z     
2025-06-01T21:26:38.2644520Z         >>> from torch.distributed import rpc
2025-06-01T21:26:38.2644560Z         >>>
2025-06-01T21:26:38.2644620Z         >>> # omitting setup and shutdown RPC
2025-06-01T21:26:38.2644660Z         >>>
2025-06-01T21:26:38.2644710Z         >>> # On all workers
2025-06-01T21:26:38.2644770Z         >>> class AsyncExecutionClass:
2025-06-01T21:26:38.2644810Z         >>>
2025-06-01T21:26:38.2644860Z         >>>     @staticmethod
2025-06-01T21:26:38.2644930Z         >>>     @rpc.functions.async_execution
2025-06-01T21:26:38.2644990Z         >>>     def static_async_add(to, x, y, z):
2025-06-01T21:26:38.2645100Z         >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-06-01T21:26:38.2645160Z         >>>             lambda fut: fut.wait() + z
2025-06-01T21:26:38.2645200Z         >>>         )
2025-06-01T21:26:38.2645240Z         >>>
2025-06-01T21:26:38.2645290Z         >>>     @classmethod
2025-06-01T21:26:38.2645350Z         >>>     @rpc.functions.async_execution
2025-06-01T21:26:38.2645430Z         >>>     def class_async_add(cls, to, x, y, z):
2025-06-01T21:26:38.2645500Z         >>>         ret_fut = torch.futures.Future()
2025-06-01T21:26:38.2645600Z         >>>         rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-06-01T21:26:38.2645690Z         >>>             lambda fut: ret_fut.set_result(fut.wait() + z)
2025-06-01T21:26:38.2645730Z         >>>         )
2025-06-01T21:26:38.2645780Z         >>>         return ret_fut
2025-06-01T21:26:38.2645820Z         >>>
2025-06-01T21:26:38.2645880Z         >>>     @rpc.functions.async_execution
2025-06-01T21:26:38.2645960Z         >>>     def bound_async_add(self, to, x, y, z):
2025-06-01T21:26:38.2646060Z         >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-06-01T21:26:38.2646120Z         >>>             lambda fut: fut.wait() + z
2025-06-01T21:26:38.2646170Z         >>>         )
2025-06-01T21:26:38.2646200Z         >>>
2025-06-01T21:26:38.2646250Z         >>> # On worker0
2025-06-01T21:26:38.2646300Z         >>> ret = rpc.rpc_sync(
2025-06-01T21:26:38.2646350Z         >>>     "worker1",
2025-06-01T21:26:38.2646430Z         >>>     AsyncExecutionClass.static_async_add,
2025-06-01T21:26:38.2646500Z         >>>     args=("worker2", torch.ones(2), 1, 2)
2025-06-01T21:26:38.2646530Z         >>> )
2025-06-01T21:26:38.2646600Z         >>> print(ret)  # prints tensor([4., 4.])
2025-06-01T21:26:38.2646640Z         >>>
2025-06-01T21:26:38.2646720Z         >>> ret = rpc.rpc_sync(
2025-06-01T21:26:38.2646770Z         >>>     "worker1",
2025-06-01T21:26:38.2646850Z         >>>     AsyncExecutionClass.class_async_add,
2025-06-01T21:26:38.2646920Z         >>>     args=("worker2", torch.ones(2), 1, 2)
2025-06-01T21:26:38.2646950Z         >>> )
2025-06-01T21:26:38.2647020Z         >>> print(ret)  # prints tensor([4., 4.])
2025-06-01T21:26:38.2647060Z     
2025-06-01T21:26:38.2647160Z         This decorator also works with RRef helpers, i.e., .
2025-06-01T21:26:38.2647240Z         :meth:`torch.distributed.rpc.RRef.rpc_sync`,
2025-06-01T21:26:38.2647350Z         :meth:`torch.distributed.rpc.RRef.rpc_async`, and
2025-06-01T21:26:38.2647450Z         :meth:`torch.distributed.rpc.RRef.remote`.
2025-06-01T21:26:38.2647490Z     
2025-06-01T21:26:38.2647550Z         >>> from torch.distributed import rpc
2025-06-01T21:26:38.2647590Z         >>>
2025-06-01T21:26:38.2647670Z         >>> # reuse the AsyncExecutionClass class above
2025-06-01T21:26:38.2647760Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-06-01T21:26:38.2647890Z         >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2)
2025-06-01T21:26:38.2647960Z         >>> print(ret)  # prints tensor([4., 4.])
2025-06-01T21:26:38.2648000Z         >>>
2025-06-01T21:26:38.2648090Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-06-01T21:26:38.2648230Z         >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait()
2025-06-01T21:26:38.2648310Z         >>> print(ret)  # prints tensor([4., 4.])
2025-06-01T21:26:38.2648350Z         >>>
2025-06-01T21:26:38.2648440Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-06-01T21:26:38.2648580Z         >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here()
2025-06-01T21:26:38.2648650Z         >>> print(ret)  # prints tensor([4., 4.])
2025-06-01T21:26:38.2648690Z     
2025-06-01T21:26:38.2648840Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2648870Z     
2025-06-01T21:26:38.2648920Z       warnings.warn(msg)
2025-06-01T21:26:38.2648960Z     
2025-06-01T21:26:38.2649060Z --- Parse Warning: 85 / 118 ---
2025-06-01T21:26:38.2649860Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=113.
2025-06-01T21:26:38.2650020Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2650060Z     
2025-06-01T21:26:38.2650180Z     Set device mapping between each RPC caller and callee pair. This
2025-06-01T21:26:38.2650290Z     function can be called multiple times to incrementally add
2025-06-01T21:26:38.2650350Z     device placement configurations.
2025-06-01T21:26:38.2650390Z     
2025-06-01T21:26:38.2650430Z     Args:
2025-06-01T21:26:38.2650480Z         to (str): Callee name.
2025-06-01T21:26:38.2650600Z         device_map (Dict of int, str, or torch.device): Device placement
2025-06-01T21:26:38.2650710Z             mappings from this worker to the callee. This map must be
2025-06-01T21:26:38.2650750Z             invertible.
2025-06-01T21:26:38.2650790Z     
2025-06-01T21:26:38.2650830Z     Example:
2025-06-01T21:26:38.2650890Z         >>> # xdoctest: +SKIP("distributed")
2025-06-01T21:26:38.2650940Z         >>> # both workers
2025-06-01T21:26:38.2650990Z         >>> def add(x, y):
2025-06-01T21:26:38.2651070Z         >>>     print(x)  # tensor([1., 1.], device='cuda:1')
2025-06-01T21:26:38.2651130Z         >>>     return x + y, (x + y).to(2)
2025-06-01T21:26:38.2651170Z         >>>
2025-06-01T21:26:38.2651220Z         >>> # on worker 0
2025-06-01T21:26:38.2651290Z         >>> options = TensorPipeRpcBackendOptions(
2025-06-01T21:26:38.2651350Z         >>>     num_worker_threads=8,
2025-06-01T21:26:38.2651440Z         >>>     device_maps={"worker1": {0: 1}}
2025-06-01T21:26:38.2651520Z         >>> # maps worker0's cuda:0 to worker1's cuda:1
2025-06-01T21:26:38.2651560Z         >>> )
2025-06-01T21:26:38.2651630Z         >>> options.set_device_map("worker1", {1: 2})
2025-06-01T21:26:38.2651710Z         >>> # maps worker0's cuda:1 to worker1's cuda:2
2025-06-01T21:26:38.2651750Z         >>>
2025-06-01T21:26:38.2651790Z         >>> rpc.init_rpc(
2025-06-01T21:26:38.2651840Z         >>>     "worker0",
2025-06-01T21:26:38.2651880Z         >>>     rank=0,
2025-06-01T21:26:38.2651930Z         >>>     world_size=2,
2025-06-01T21:26:38.2652020Z         >>>     backend=rpc.BackendType.TENSORPIPE,
2025-06-01T21:26:38.2652100Z         >>>     rpc_backend_options=options
2025-06-01T21:26:38.2652140Z         >>> )
2025-06-01T21:26:38.2652180Z         >>>
2025-06-01T21:26:38.2652230Z         >>> x = torch.ones(2)
2025-06-01T21:26:38.2652330Z         >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1))
2025-06-01T21:26:38.2652440Z         >>> # The first argument will be moved to cuda:1 on worker1. When
2025-06-01T21:26:38.2652550Z         >>> # sending the return value back, it will follow the invert of
2025-06-01T21:26:38.2652650Z         >>> # the device map, and hence will be moved back to cuda:0 and
2025-06-01T21:26:38.2652710Z         >>> # cuda:1 on worker0
2025-06-01T21:26:38.2652800Z         >>> print(rets[0])  # tensor([2., 2.], device='cuda:0')
2025-06-01T21:26:38.2652910Z         >>> print(rets[1])  # tensor([2., 2.], device='cuda:1')
2025-06-01T21:26:38.2652950Z     
2025-06-01T21:26:38.2653110Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2653140Z     
2025-06-01T21:26:38.2653200Z       warnings.warn(msg)
2025-06-01T21:26:38.2653230Z     
2025-06-01T21:26:38.2653330Z --- Parse Warning: 86 / 118 ---
2025-06-01T21:26:38.2654140Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_server_process_global_profile in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19.
2025-06-01T21:26:38.2654300Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2654330Z     
2025-06-01T21:26:38.2654460Z     It has the same API as ``torch.autograd.profiler.profile`` class,
2025-06-01T21:26:38.2654620Z     except that it enables profiling on all threads running RPC server request callbacks.
2025-06-01T21:26:38.2654670Z     
2025-06-01T21:26:38.2654830Z     Context manager that manages autograd profiler state and holds a summary of results.
2025-06-01T21:26:38.2654970Z     Under the hood it just records events of functions being executed in C++ and
2025-06-01T21:26:38.2655110Z     exposes those events to Python. You can wrap any code into it and it will
2025-06-01T21:26:38.2655180Z     only report runtime of PyTorch functions.
2025-06-01T21:26:38.2655340Z     Note: profiler is thread local and is automatically propagated into the async tasks
2025-06-01T21:26:38.2655380Z     
2025-06-01T21:26:38.2655420Z     Args:
2025-06-01T21:26:38.2655580Z         enabled (bool, optional): Setting this to False makes this context manager a no-op.
2025-06-01T21:26:38.2655630Z             Default: ``True``.
2025-06-01T21:26:38.2655670Z     
2025-06-01T21:26:38.2655840Z         use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API.
2025-06-01T21:26:38.2655960Z             Adds approximately 4us of overhead to each tensor operation.
2025-06-01T21:26:38.2656010Z             Default: ``False``
2025-06-01T21:26:38.2656050Z     
2025-06-01T21:26:38.2656190Z         record_shapes (bool, optional): If shapes recording is set, information
2025-06-01T21:26:38.2656320Z             about input dimensions will be collected. This allows one to see which
2025-06-01T21:26:38.2656480Z             dimensions have been used under the hood and further group by them
2025-06-01T21:26:38.2656610Z             using prof.key_averages(group_by_input_shape=True). Please note that
2025-06-01T21:26:38.2656740Z             shape recording might skew your profiling data. It is recommended to
2025-06-01T21:26:38.2656880Z             use separate runs with and without shape recording to validate the timing.
2025-06-01T21:26:38.2657010Z             Most likely the skew will be negligible for bottom most events (in a case
2025-06-01T21:26:38.2657170Z             of nested function calls). But for higher level functions the total
2025-06-01T21:26:38.2657320Z             self cpu time might be artificially increased because of the shape
2025-06-01T21:26:38.2657360Z             collection.
2025-06-01T21:26:38.2657400Z     
2025-06-01T21:26:38.2657560Z         profile_memory (bool, optional): Whether to report memory usage, default: ``False``
2025-06-01T21:26:38.2657600Z     
2025-06-01T21:26:38.2657650Z     .. warning::
2025-06-01T21:26:38.2657770Z         Enabling memory profiling incurs additional profiler overhead
2025-06-01T21:26:38.2657810Z     
2025-06-01T21:26:38.2657850Z     .. warning::
2025-06-01T21:26:38.2658020Z         Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`),
2025-06-01T21:26:38.2658140Z         one cannot use the profiler with ``use_cuda = True`` to benchmark
2025-06-01T21:26:38.2658300Z         DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading,
2025-06-01T21:26:38.2658400Z         please use ``use_cuda = False`` or ``num_workers = 0``.
2025-06-01T21:26:38.2658440Z     
2025-06-01T21:26:38.2658480Z     Example:
2025-06-01T21:26:38.2658530Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2658580Z         >>> # On worker 0:
2025-06-01T21:26:38.2658630Z         >>> import torch
2025-06-01T21:26:38.2658700Z         >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:38.2658780Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-06-01T21:26:38.2658850Z         >>> x, y = torch.tensor(1), torch.tensor(2)
2025-06-01T21:26:38.2658920Z         >>> outer_profile_rref = rpc.remote(
2025-06-01T21:26:38.2659020Z         ...     dst_worker_name, rpc._server_process_global_profile
2025-06-01T21:26:38.2659060Z         ... )
2025-06-01T21:26:38.2659130Z         >>> outer_profile_rref.rpc_sync().__enter__()
2025-06-01T21:26:38.2659220Z         >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y))
2025-06-01T21:26:38.2659290Z         >>> inner_profile_rref = rpc.remote(
2025-06-01T21:26:38.2659390Z         ...     dst_worker_name, rpc._server_process_global_profile
2025-06-01T21:26:38.2659430Z         ... )
2025-06-01T21:26:38.2659510Z         >>> inner_profile_rref.rpc_sync().__enter__()
2025-06-01T21:26:38.2659590Z         >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y))
2025-06-01T21:26:38.2659700Z         >>> inner_profile_rref.rpc_sync().__exit__(None, None, None)
2025-06-01T21:26:38.2659800Z         >>> outer_profile_rref.rpc_sync().__exit__(None, None, None)
2025-06-01T21:26:38.2659900Z         >>> print(inner_profile_rref.rpc_sync().key_averages())
2025-06-01T21:26:38.2660050Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-06-01T21:26:38.2660240Z         Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-06-01T21:26:38.2660380Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-06-01T21:26:38.2660500Z         sub        85.06%           76.275us         100.00%          89.667us         89.667us         1
2025-06-01T21:26:38.2660620Z         empty      14.94%           13.392us         14.94%           13.392us         13.392us         1
2025-06-01T21:26:38.2660770Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-06-01T21:26:38.2660850Z         Self CPU time total: 89.667us
2025-06-01T21:26:38.2660940Z         >>> print(outer_profile_rref.rpc_sync().key_averages())
2025-06-01T21:26:38.2661080Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-06-01T21:26:38.2661260Z         Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-06-01T21:26:38.2661400Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-06-01T21:26:38.2661540Z         sub        35.65%           76.275us         41.91%           89.667us         89.667us         1
2025-06-01T21:26:38.2661680Z         empty      12.67%           27.101us         12.67%           27.101us         13.551us         2
2025-06-01T21:26:38.2661790Z         add        51.68%           110.550us        58.09%           124.259us        124.259us        1
2025-06-01T21:26:38.2661930Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-06-01T21:26:38.2661990Z         Self CPU time total: 213.926us
2025-06-01T21:26:38.2662040Z         >>> rpc.shutdown()
2025-06-01T21:26:38.2662080Z     
2025-06-01T21:26:38.2662130Z         >>> # On worker 1:
2025-06-01T21:26:38.2664830Z         >>> import torch.distributed.rpc as rpc
2025-06-01T21:26:38.2664930Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-06-01T21:26:38.2665120Z         >>> # wait for worker 0 to finish work, and then shutdown.
2025-06-01T21:26:38.2665170Z         >>> rpc.shutdown()
2025-06-01T21:26:38.2665220Z     
2025-06-01T21:26:38.2665360Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2665400Z     
2025-06-01T21:26:38.2665450Z       warnings.warn(msg)
2025-06-01T21:26:38.2665490Z     
2025-06-01T21:26:38.2665600Z --- Parse Warning: 87 / 118 ---
2025-06-01T21:26:38.2666370Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assoc_in in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=245.
2025-06-01T21:26:38.2666520Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2666640Z     Return a new dict with new, potentially nested, key value pair
2025-06-01T21:26:38.2666680Z     
2025-06-01T21:26:38.2666720Z         >>> purchase = {
2025-06-01T21:26:38.2666780Z         ...     "name": "Alice",
2025-06-01T21:26:38.2666890Z         ...     "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-06-01T21:26:38.2666960Z         ...     "credit card": "5555-1234-1234-1234",
2025-06-01T21:26:38.2667000Z         ... }
2025-06-01T21:26:38.2667120Z         >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00])  # doctest: +SKIP
2025-06-01T21:26:38.2667180Z         {'credit card': '5555-1234-1234-1234',
2025-06-01T21:26:38.2667230Z          'name': 'Alice',
2025-06-01T21:26:38.2667330Z          'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
2025-06-01T21:26:38.2667370Z         
2025-06-01T21:26:38.2667520Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2667560Z     
2025-06-01T21:26:38.2667600Z       warnings.warn(msg)
2025-06-01T21:26:38.2667640Z     
2025-06-01T21:26:38.2667740Z --- Parse Warning: 88 / 118 ---
2025-06-01T21:26:38.2668500Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=update_in in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=261.
2025-06-01T21:26:38.2668660Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2668790Z     Update value in a (potentially) nested dictionary
2025-06-01T21:26:38.2668830Z     
2025-06-01T21:26:38.2668870Z         inputs:
2025-06-01T21:26:38.2668940Z         d - dictionary on which to operate
2025-06-01T21:26:38.2669070Z         keys - list or tuple giving the location of the value to be changed in d
2025-06-01T21:26:38.2669140Z         func - function to operate on that value
2025-06-01T21:26:38.2669180Z     
2025-06-01T21:26:38.2669300Z         If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
2025-06-01T21:26:38.2669460Z         original dictionary with v replaced by func(v), but does not mutate the
2025-06-01T21:26:38.2669530Z         original dictionary.
2025-06-01T21:26:38.2669570Z     
2025-06-01T21:26:38.2669700Z         If k0 is not a key in d, update_in creates nested dictionaries to the depth
2025-06-01T21:26:38.2669820Z         specified by the keys, with the innermost value set to func(default).
2025-06-01T21:26:38.2669860Z     
2025-06-01T21:26:38.2669920Z         >>> inc = lambda x: x + 1
2025-06-01T21:26:38.2669970Z         >>> update_in({"a": 0}, ["a"], inc)
2025-06-01T21:26:38.2670020Z         {'a': 1}
2025-06-01T21:26:38.2670050Z     
2025-06-01T21:26:38.2670100Z         >>> transaction = {
2025-06-01T21:26:38.2670150Z         ...     "name": "Alice",
2025-06-01T21:26:38.2670270Z         ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-06-01T21:26:38.2670360Z         ...     "credit card": "5555-1234-1234-1234",
2025-06-01T21:26:38.2670400Z         ... }
2025-06-01T21:26:38.2670530Z         >>> update_in(transaction, ["purchase", "costs"], sum)  # doctest: +SKIP
2025-06-01T21:26:38.2670590Z         {'credit card': '5555-1234-1234-1234',
2025-06-01T21:26:38.2670640Z          'name': 'Alice',
2025-06-01T21:26:38.2670740Z          'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}
2025-06-01T21:26:38.2670780Z     
2025-06-01T21:26:38.2670850Z         >>> # updating a value when k0 is not in d
2025-06-01T21:26:38.2670920Z         >>> update_in({}, [1, 2, 3], str, default="bar")
2025-06-01T21:26:38.2670970Z         {1: {2: {3: 'bar'}}}
2025-06-01T21:26:38.2671040Z         >>> update_in({1: "foo"}, [2, 3, 4], inc, 0)
2025-06-01T21:26:38.2671090Z         {1: 'foo', 2: {3: {4: 1}}}
2025-06-01T21:26:38.2671130Z         
2025-06-01T21:26:38.2671270Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2671320Z     
2025-06-01T21:26:38.2671360Z       warnings.warn(msg)
2025-06-01T21:26:38.2671400Z     
2025-06-01T21:26:38.2671500Z --- Parse Warning: 89 / 118 ---
2025-06-01T21:26:38.2672260Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_in in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=320.
2025-06-01T21:26:38.2672410Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2672510Z     Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.
2025-06-01T21:26:38.2672550Z     
2025-06-01T21:26:38.2672660Z         If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
2025-06-01T21:26:38.2672780Z         ``no_default`` is specified, then it raises KeyError or IndexError.
2025-06-01T21:26:38.2672820Z     
2025-06-01T21:26:38.2672940Z         ``get_in`` is a generalization of ``operator.getitem`` for nested data
2025-06-01T21:26:38.2673020Z         structures such as dictionaries and lists.
2025-06-01T21:26:38.2673060Z     
2025-06-01T21:26:38.2673110Z         >>> transaction = {
2025-06-01T21:26:38.2673160Z         ...     "name": "Alice",
2025-06-01T21:26:38.2673280Z         ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-06-01T21:26:38.2673340Z         ...     "credit card": "5555-1234-1234-1234",
2025-06-01T21:26:38.2673400Z         ... }
2025-06-01T21:26:38.2673490Z         >>> get_in(["purchase", "items", 0], transaction)
2025-06-01T21:26:38.2673530Z         'Apple'
2025-06-01T21:26:38.2673590Z         >>> get_in(["name"], transaction)
2025-06-01T21:26:38.2673630Z         'Alice'
2025-06-01T21:26:38.2673700Z         >>> get_in(["purchase", "total"], transaction)
2025-06-01T21:26:38.2673790Z         >>> get_in(["purchase", "items", "apple"], transaction)
2025-06-01T21:26:38.2673870Z         >>> get_in(["purchase", "items", 10], transaction)
2025-06-01T21:26:38.2673970Z         >>> get_in(["purchase", "total"], transaction, 0)
2025-06-01T21:26:38.2674030Z         0
2025-06-01T21:26:38.2674090Z         >>> get_in(["y"], {}, no_default=True)
2025-06-01T21:26:38.2674150Z         Traceback (most recent call last):
2025-06-01T21:26:38.2674190Z             ...
2025-06-01T21:26:38.2674240Z         KeyError: 'y'
2025-06-01T21:26:38.2674280Z     
2025-06-01T21:26:38.2674320Z         See Also:
2025-06-01T21:26:38.2674370Z             itertoolz.get
2025-06-01T21:26:38.2674420Z             operator.getitem
2025-06-01T21:26:38.2674460Z         
2025-06-01T21:26:38.2674600Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2674640Z     
2025-06-01T21:26:38.2674690Z       warnings.warn(msg)
2025-06-01T21:26:38.2674730Z     
2025-06-01T21:26:38.2674820Z --- Parse Warning: 90 / 118 ---
2025-06-01T21:26:38.2675620Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=groupby in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=373.
2025-06-01T21:26:38.2675780Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2675840Z     Group a collection by a key function
2025-06-01T21:26:38.2675880Z     
2025-06-01T21:26:38.2675980Z         >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"]
2025-06-01T21:26:38.2676050Z         >>> groupby(len, names)  # doctest: +SKIP
2025-06-01T21:26:38.2676150Z         {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']}
2025-06-01T21:26:38.2676190Z     
2025-06-01T21:26:38.2676240Z         >>> iseven = lambda x: x % 2 == 0
2025-06-01T21:26:38.2676350Z         >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8])  # doctest: +SKIP
2025-06-01T21:26:38.2676410Z         {False: [1, 3, 5, 7], True: [2, 4, 6, 8]}
2025-06-01T21:26:38.2676450Z     
2025-06-01T21:26:38.2676540Z         Non-callable keys imply grouping on a member.
2025-06-01T21:26:38.2676580Z     
2025-06-01T21:26:38.2676620Z         >>> groupby(
2025-06-01T21:26:38.2676660Z         ...     "gender",
2025-06-01T21:26:38.2676700Z         ...     [
2025-06-01T21:26:38.2676770Z         ...         {"name": "Alice", "gender": "F"},
2025-06-01T21:26:38.2676840Z         ...         {"name": "Bob", "gender": "M"},
2025-06-01T21:26:38.2676910Z         ...         {"name": "Charlie", "gender": "M"},
2025-06-01T21:26:38.2676950Z         ...     ],
2025-06-01T21:26:38.2677000Z         ... )  # doctest:+SKIP
2025-06-01T21:26:38.2677070Z         {'F': [{'gender': 'F', 'name': 'Alice'}],
2025-06-01T21:26:38.2677130Z          'M': [{'gender': 'M', 'name': 'Bob'},
2025-06-01T21:26:38.2677190Z                {'gender': 'M', 'name': 'Charlie'}]}
2025-06-01T21:26:38.2677230Z     
2025-06-01T21:26:38.2677310Z         Not to be confused with ``itertools.groupby``
2025-06-01T21:26:38.2677350Z     
2025-06-01T21:26:38.2677400Z         See Also:
2025-06-01T21:26:38.2677440Z             countby
2025-06-01T21:26:38.2677480Z         
2025-06-01T21:26:38.2677630Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2677660Z     
2025-06-01T21:26:38.2677710Z       warnings.warn(msg)
2025-06-01T21:26:38.2677750Z     
2025-06-01T21:26:38.2677870Z --- Parse Warning: 91 / 118 ---
2025-06-01T21:26:38.2678560Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=AveragedModel in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/swa_utils.py line=117.
2025-06-01T21:26:38.2678720Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2678930Z     Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA).
2025-06-01T21:26:38.2678970Z     
2025-06-01T21:26:38.2679160Z         Stochastic Weight Averaging was proposed in `Averaging Weights Leads to
2025-06-01T21:26:38.2679320Z         Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii
2025-06-01T21:26:38.2679450Z         Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson
2025-06-01T21:26:38.2679490Z         (UAI 2018).
2025-06-01T21:26:38.2679530Z     
2025-06-01T21:26:38.2679660Z         Exponential Moving Average is a variation of `Polyak averaging`_,
2025-06-01T21:26:38.2679800Z         but using exponential weights instead of equal weights across iterations.
2025-06-01T21:26:38.2679840Z     
2025-06-01T21:26:38.2679970Z         AveragedModel class creates a copy of the provided module :attr:`model`
2025-06-01T21:26:38.2680100Z         on the device :attr:`device` and allows to compute running averages of the
2025-06-01T21:26:38.2680190Z         parameters of the :attr:`model`.
2025-06-01T21:26:38.2680230Z     
2025-06-01T21:26:38.2680270Z         Args:
2025-06-01T21:26:38.2680360Z             model (torch.nn.Module): model to use with SWA/EMA
2025-06-01T21:26:38.2680510Z             device (torch.device, optional): if provided, the averaged model will be
2025-06-01T21:26:38.2680570Z                 stored on the :attr:`device`
2025-06-01T21:26:38.2680700Z             avg_fn (function, optional): the averaging function used to update
2025-06-01T21:26:38.2680820Z                 parameters; the function must take in the current value of the
2025-06-01T21:26:38.2680950Z                 :class:`AveragedModel` parameter, the current value of :attr:`model`
2025-06-01T21:26:38.2681070Z                 parameter, and the number of models already averaged; if None,
2025-06-01T21:26:38.2681170Z                 an equally weighted average is used (default: None)
2025-06-01T21:26:38.2681300Z             multi_avg_fn (function, optional): the averaging function used to update
2025-06-01T21:26:38.2681450Z                 parameters inplace; the function must take in the current values of the
2025-06-01T21:26:38.2681610Z                 :class:`AveragedModel` parameters as a list, the current values of :attr:`model`
2025-06-01T21:26:38.2681740Z                 parameters as a list, and the number of models already averaged; if None,
2025-06-01T21:26:38.2681840Z                 an equally weighted average is used (default: None)
2025-06-01T21:26:38.2681970Z             use_buffers (bool): if ``True``, it will compute running averages for
2025-06-01T21:26:38.2682100Z                 both the parameters and the buffers of the model. (default: ``False``)
2025-06-01T21:26:38.2682140Z     
2025-06-01T21:26:38.2682180Z         Example:
2025-06-01T21:26:38.2682260Z             >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2682330Z             >>> loader, optimizer, model, loss_fn = ...
2025-06-01T21:26:38.2682440Z             >>> swa_model = torch.optim.swa_utils.AveragedModel(model)
2025-06-01T21:26:38.2682580Z             >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer,
2025-06-01T21:26:38.2682650Z             >>>                                     T_max=300)
2025-06-01T21:26:38.2682700Z             >>> swa_start = 160
2025-06-01T21:26:38.2682790Z             >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05)
2025-06-01T21:26:38.2682840Z             >>> for i in range(300):
2025-06-01T21:26:38.2682920Z             >>>      for input, target in loader:
2025-06-01T21:26:38.2682990Z             >>>          optimizer.zero_grad()
2025-06-01T21:26:38.2683070Z             >>>          loss_fn(model(input), target).backward()
2025-06-01T21:26:38.2683130Z             >>>          optimizer.step()
2025-06-01T21:26:38.2683180Z             >>>      if i > swa_start:
2025-06-01T21:26:38.2683260Z             >>>          swa_model.update_parameters(model)
2025-06-01T21:26:38.2683320Z             >>>          swa_scheduler.step()
2025-06-01T21:26:38.2683370Z             >>>      else:
2025-06-01T21:26:38.2683430Z             >>>          scheduler.step()
2025-06-01T21:26:38.2683490Z             >>>
2025-06-01T21:26:38.2683600Z             >>> # Update bn statistics for the swa_model at the end
2025-06-01T21:26:38.2683700Z             >>> torch.optim.swa_utils.update_bn(loader, swa_model)
2025-06-01T21:26:38.2683740Z     
2025-06-01T21:26:38.2683920Z         You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters.
2025-06-01T21:26:38.2684040Z         If no averaging function is provided, the default is to compute
2025-06-01T21:26:38.2684120Z         equally-weighted average of the weights (SWA).
2025-06-01T21:26:38.2684160Z     
2025-06-01T21:26:38.2684200Z         Example:
2025-06-01T21:26:38.2684280Z             >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2684400Z             >>> # Compute exponential moving averages of the weights and buffers
2025-06-01T21:26:38.2684520Z             >>> ema_model = torch.optim.swa_utils.AveragedModel(model,
2025-06-01T21:26:38.2684660Z             >>>             torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True)
2025-06-01T21:26:38.2684700Z     
2025-06-01T21:26:38.2684750Z         .. note::
2025-06-01T21:26:38.2684890Z             When using SWA/EMA with models containing Batch Normalization you may
2025-06-01T21:26:38.2685010Z             need to update the activation statistics for Batch Normalization.
2025-06-01T21:26:38.2685150Z             This can be done either by using the :meth:`torch.optim.swa_utils.update_bn`
2025-06-01T21:26:38.2685280Z             or by setting :attr:`use_buffers` to `True`. The first approach updates the
2025-06-01T21:26:38.2685430Z             statistics in a post-training step by passing data through the model. The
2025-06-01T21:26:38.2685570Z             second does it during the parameter update phase by averaging all buffers.
2025-06-01T21:26:38.2685710Z             Empirical evidence has shown that updating the statistics in normalization
2025-06-01T21:26:38.2685840Z             layers increases accuracy, but you may wish to empirically test which
2025-06-01T21:26:38.2685940Z             approach yields the best results in your problem.
2025-06-01T21:26:38.2685980Z     
2025-06-01T21:26:38.2686020Z         .. note::
2025-06-01T21:26:38.2686180Z             :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model.
2025-06-01T21:26:38.2686210Z     
2025-06-01T21:26:38.2686260Z         .. note::
2025-06-01T21:26:38.2686380Z             When :meth:`update_parameters` is called for the first time (i.e.
2025-06-01T21:26:38.2686490Z             :attr:`n_averaged` is `0`) the parameters of `model` are copied
2025-06-01T21:26:38.2686610Z             to the parameters of :class:`AveragedModel`. For every subsequent
2025-06-01T21:26:38.2686720Z             call of :meth:`update_parameters` the function `avg_fn` is used
2025-06-01T21:26:38.2686780Z             to update the parameters.
2025-06-01T21:26:38.2686820Z     
2025-06-01T21:26:38.2686950Z         .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-06-01T21:26:38.2687030Z             https://arxiv.org/abs/1803.05407
2025-06-01T21:26:38.2687170Z         .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should
2025-06-01T21:26:38.2687210Z             Average:
2025-06-01T21:26:38.2687270Z             https://arxiv.org/abs/1806.05594
2025-06-01T21:26:38.2687390Z         .. _SWALP: Stochastic Weight Averaging in Low-Precision Training:
2025-06-01T21:26:38.2687490Z             https://arxiv.org/abs/1904.11943
2025-06-01T21:26:38.2687620Z         .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That
2025-06-01T21:26:38.2687670Z             Generalizes Well:
2025-06-01T21:26:38.2687740Z             https://arxiv.org/abs/2001.02312
2025-06-01T21:26:38.2687790Z         .. _Polyak averaging:
2025-06-01T21:26:38.2687890Z             https://paperswithcode.com/method/polyak-averaging
2025-06-01T21:26:38.2687940Z         
2025-06-01T21:26:38.2688100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2688160Z     
2025-06-01T21:26:38.2688210Z       warnings.warn(msg)
2025-06-01T21:26:38.2688250Z     
2025-06-01T21:26:38.2688350Z --- Parse Warning: 92 / 118 ---
2025-06-01T21:26:38.2689020Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SWALR in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/optim/swa_utils.py line=369.
2025-06-01T21:26:38.2689170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2689300Z     Anneals the learning rate in each parameter group to a fixed value.
2025-06-01T21:26:38.2689340Z     
2025-06-01T21:26:38.2689500Z         This learning rate scheduler is meant to be used with Stochastic Weight
2025-06-01T21:26:38.2689620Z         Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`).
2025-06-01T21:26:38.2689660Z     
2025-06-01T21:26:38.2689700Z         Args:
2025-06-01T21:26:38.2689810Z             optimizer (torch.optim.Optimizer): wrapped optimizer
2025-06-01T21:26:38.2689930Z             swa_lrs (float or list): the learning rate value for all param groups
2025-06-01T21:26:38.2690010Z                 together or separately for each group.
2025-06-01T21:26:38.2690130Z             annealing_epochs (int): number of epochs in the annealing phase
2025-06-01T21:26:38.2690170Z                 (default: 10)
2025-06-01T21:26:38.2690300Z             annealing_strategy (str): "cos" or "linear"; specifies the annealing
2025-06-01T21:26:38.2690430Z                 strategy: "cos" for cosine annealing, "linear" for linear annealing
2025-06-01T21:26:38.2690480Z                 (default: "cos")
2025-06-01T21:26:38.2690590Z             last_epoch (int): the index of the last epoch (default: -1)
2025-06-01T21:26:38.2690630Z     
2025-06-01T21:26:38.2690740Z         The :class:`SWALR` scheduler can be used together with other
2025-06-01T21:26:38.2690870Z         schedulers to switch to a constant learning rate late in the training
2025-06-01T21:26:38.2690920Z         as in the example below.
2025-06-01T21:26:38.2690960Z     
2025-06-01T21:26:38.2691000Z         Example:
2025-06-01T21:26:38.2691080Z             >>> # xdoctest: +SKIP("Undefined variables")
2025-06-01T21:26:38.2691140Z             >>> loader, optimizer, model = ...
2025-06-01T21:26:38.2691210Z             >>> lr_lambda = lambda epoch: 0.9
2025-06-01T21:26:38.2691340Z             >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
2025-06-01T21:26:38.2691400Z             >>>        lr_lambda=lr_lambda)
2025-06-01T21:26:38.2691500Z             >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer,
2025-06-01T21:26:38.2691610Z             >>>        anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05)
2025-06-01T21:26:38.2691660Z             >>> swa_start = 160
2025-06-01T21:26:38.2691720Z             >>> for i in range(300):
2025-06-01T21:26:38.2691790Z             >>>      for input, target in loader:
2025-06-01T21:26:38.2691850Z             >>>          optimizer.zero_grad()
2025-06-01T21:26:38.2691930Z             >>>          loss_fn(model(input), target).backward()
2025-06-01T21:26:38.2691990Z             >>>          optimizer.step()
2025-06-01T21:26:38.2692050Z             >>>      if i > swa_start:
2025-06-01T21:26:38.2692130Z             >>>          swa_scheduler.step()
2025-06-01T21:26:38.2692180Z             >>>      else:
2025-06-01T21:26:38.2692230Z             >>>          scheduler.step()
2025-06-01T21:26:38.2692270Z     
2025-06-01T21:26:38.2692400Z         .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-06-01T21:26:38.2692470Z             https://arxiv.org/abs/1803.05407
2025-06-01T21:26:38.2692510Z         
2025-06-01T21:26:38.2692650Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2692690Z     
2025-06-01T21:26:38.2692760Z       warnings.warn(msg)
2025-06-01T21:26:38.2692820Z     
2025-06-01T21:26:38.2692910Z --- Parse Warning: 93 / 118 ---
2025-06-01T21:26:38.2693650Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SelectiveCheckpointContext in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1207.
2025-06-01T21:26:38.2693810Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2693850Z     
2025-06-01T21:26:38.2693970Z     Context passed to policy function during selective checkpointing.
2025-06-01T21:26:38.2694010Z     
2025-06-01T21:26:38.2694140Z     This class is used to pass relevant metadata to the policy function during
2025-06-01T21:26:38.2694350Z     selective checkpointing. The metadata includes whether the current invocation
2025-06-01T21:26:38.2694450Z     of the policy function is during recomputation or not.
2025-06-01T21:26:38.2694490Z     
2025-06-01T21:26:38.2694530Z     Example:
2025-06-01T21:26:38.2694590Z         >>> # xdoctest: +SKIP(stub)
2025-06-01T21:26:38.2694630Z         >>>
2025-06-01T21:26:38.2694700Z         >>> def policy_fn(ctx, op, *args, **kwargs):
2025-06-01T21:26:38.2694760Z         >>>    print(ctx.is_recompute)
2025-06-01T21:26:38.2694800Z         >>>
2025-06-01T21:26:38.2694970Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-06-01T21:26:38.2695000Z         >>>
2025-06-01T21:26:38.2695090Z         >>> out = torch.utils.checkpoint.checkpoint(
2025-06-01T21:26:38.2695130Z         >>>     fn, x, y,
2025-06-01T21:26:38.2695190Z         >>>     use_reentrant=False,
2025-06-01T21:26:38.2695240Z         >>>     context_fn=context_fn,
2025-06-01T21:26:38.2695280Z         >>> )
2025-06-01T21:26:38.2695320Z     
2025-06-01T21:26:38.2695470Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2695510Z     
2025-06-01T21:26:38.2695560Z       warnings.warn(msg)
2025-06-01T21:26:38.2695600Z     
2025-06-01T21:26:38.2695690Z --- Parse Warning: 94 / 118 ---
2025-06-01T21:26:38.2696440Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1341.
2025-06-01T21:26:38.2696600Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2696660Z     
2025-06-01T21:26:38.2696800Z     Helper to avoid recomputing certain ops during activation checkpointing.
2025-06-01T21:26:38.2696840Z     
2025-06-01T21:26:38.2696970Z     Use this with `torch.utils.checkpoint.checkpoint` to control which
2025-06-01T21:26:38.2697060Z     operations are recomputed during the backward pass.
2025-06-01T21:26:38.2697100Z     
2025-06-01T21:26:38.2697140Z     Args:
2025-06-01T21:26:38.2697210Z         policy_fn_or_list (Callable or List):
2025-06-01T21:26:38.2697310Z           - If a policy function is provided, it should accept a
2025-06-01T21:26:38.2697450Z             :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and
2025-06-01T21:26:38.2697600Z             kwargs to the op, and return a :class:`CheckpointPolicy` enum value
2025-06-01T21:26:38.2697740Z             indicating whether the execution of the op should be recomputed or not.
2025-06-01T21:26:38.2697860Z           - If a list of operations is provided, it is equivalent to a policy
2025-06-01T21:26:38.2697970Z             returning `CheckpointPolicy.MUST_SAVE` for the specified
2025-06-01T21:26:38.2698100Z             operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other
2025-06-01T21:26:38.2698150Z             operations.
2025-06-01T21:26:38.2698300Z         allow_cache_entry_mutation (bool, optional): By default, an error is
2025-06-01T21:26:38.2698460Z             raised if any tensors cached by selective activation checkpoint are
2025-06-01T21:26:38.2698580Z             mutated in order to ensure correctness. If set to `True`, this check
2025-06-01T21:26:38.2698630Z             is disabled.
2025-06-01T21:26:38.2698670Z     Returns:
2025-06-01T21:26:38.2698730Z         A tuple of two context managers.
2025-06-01T21:26:38.2698770Z     
2025-06-01T21:26:38.2698810Z     Example:
2025-06-01T21:26:38.2698870Z         >>> # xdoctest: +REQUIRES(LINUX)
2025-06-01T21:26:38.2698920Z         >>> import functools
2025-06-01T21:26:38.2698960Z         >>>
2025-06-01T21:26:38.2699030Z         >>> x = torch.rand(10, 10, requires_grad=True)
2025-06-01T21:26:38.2699100Z         >>> y = torch.rand(10, 10, requires_grad=True)
2025-06-01T21:26:38.2699140Z         >>>
2025-06-01T21:26:38.2699210Z         >>> ops_to_save = [
2025-06-01T21:26:38.2699270Z         >>>    torch.ops.aten.mm.default,
2025-06-01T21:26:38.2699320Z         >>> ]
2025-06-01T21:26:38.2699360Z         >>>
2025-06-01T21:26:38.2699430Z         >>> def policy_fn(ctx, op, *args, **kwargs):
2025-06-01T21:26:38.2699480Z         >>>    if op in ops_to_save:
2025-06-01T21:26:38.2699560Z         >>>        return CheckpointPolicy.MUST_SAVE
2025-06-01T21:26:38.2699600Z         >>>    else:
2025-06-01T21:26:38.2699690Z         >>>        return CheckpointPolicy.PREFER_RECOMPUTE
2025-06-01T21:26:38.2699730Z         >>>
2025-06-01T21:26:38.2699890Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-06-01T21:26:38.2699930Z         >>>
2025-06-01T21:26:38.2699980Z         >>> # or equivalently
2025-06-01T21:26:38.2700140Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save)
2025-06-01T21:26:38.2700180Z         >>>
2025-06-01T21:26:38.2700230Z         >>> def fn(x, y):
2025-06-01T21:26:38.2700350Z         >>>     return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y
2025-06-01T21:26:38.2700390Z         >>>
2025-06-01T21:26:38.2700480Z         >>> out = torch.utils.checkpoint.checkpoint(
2025-06-01T21:26:38.2700520Z         >>>     fn, x, y,
2025-06-01T21:26:38.2700580Z         >>>     use_reentrant=False,
2025-06-01T21:26:38.2700630Z         >>>     context_fn=context_fn,
2025-06-01T21:26:38.2700670Z         >>> )
2025-06-01T21:26:38.2700710Z     
2025-06-01T21:26:38.2700860Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2700900Z     
2025-06-01T21:26:38.2700950Z       warnings.warn(msg)
2025-06-01T21:26:38.2700980Z     
2025-06-01T21:26:38.2701080Z --- Parse Warning: 95 / 118 ---
2025-06-01T21:26:38.2701820Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ThroughputBenchmark in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=61.
2025-06-01T21:26:38.2701980Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2702020Z     
2025-06-01T21:26:38.2702190Z     This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark.
2025-06-01T21:26:38.2702230Z     
2025-06-01T21:26:38.2702400Z     This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible
2025-06-01T21:26:38.2702580Z     for executing a PyTorch module (nn.Module or ScriptModule) under an inference
2025-06-01T21:26:38.2702710Z     server like load. It can emulate multiple calling threads to a single module
2025-06-01T21:26:38.2702850Z     provided. In the future we plan to enhance this component to support inter and
2025-06-01T21:26:38.2702990Z     intra-op parallelism as well as multiple models running in a single process.
2025-06-01T21:26:38.2703030Z     
2025-06-01T21:26:38.2703200Z     Please note that even though nn.Module is supported, it might incur an overhead
2025-06-01T21:26:38.2703360Z     from the need to hold GIL every time we execute Python code or pass around
2025-06-01T21:26:38.2703500Z     inputs as Python objects. As soon as you have a ScriptModule version of your
2025-06-01T21:26:38.2703640Z     model for inference deployment it is better to switch to using it in this
2025-06-01T21:26:38.2703680Z     benchmark.
2025-06-01T21:26:38.2703720Z     
2025-06-01T21:26:38.2703760Z     Example::
2025-06-01T21:26:38.2703800Z     
2025-06-01T21:26:38.2703870Z         >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:38.2703950Z         >>> from torch.utils import ThroughputBenchmark
2025-06-01T21:26:38.2704030Z         >>> bench = ThroughputBenchmark(my_module)
2025-06-01T21:26:38.2704120Z         >>> # Pre-populate benchmark's data set with the inputs
2025-06-01T21:26:38.2704180Z         >>> for input in inputs:
2025-06-01T21:26:38.2704330Z         ...     # Both args and kwargs work, same as any PyTorch Module / ScriptModule
2025-06-01T21:26:38.2704410Z         ...     bench.add_input(input[0], x2=input[1])
2025-06-01T21:26:38.2704530Z         >>> # Inputs supplied above are randomly used during the execution
2025-06-01T21:26:38.2704590Z         >>> stats = bench.benchmark(
2025-06-01T21:26:38.2704640Z         ...     num_calling_threads=4,
2025-06-01T21:26:38.2704700Z         ...     num_warmup_iters = 100,
2025-06-01T21:26:38.2704750Z         ...     num_iters = 1000,
2025-06-01T21:26:38.2704790Z         ... )
2025-06-01T21:26:38.2704900Z         >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms))
2025-06-01T21:26:38.2705000Z         >>> print("Number of iterations: {}".format(stats.num_iters))
2025-06-01T21:26:38.2705040Z     
2025-06-01T21:26:38.2705190Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2705220Z     
2025-06-01T21:26:38.2705280Z       warnings.warn(msg)
2025-06-01T21:26:38.2705310Z     
2025-06-01T21:26:38.2705410Z --- Parse Warning: 96 / 118 ---
2025-06-01T21:26:38.2706120Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_pytree_node in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=134.
2025-06-01T21:26:38.2706270Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2706360Z     Register a container-like type as pytree node.
2025-06-01T21:26:38.2706390Z     
2025-06-01T21:26:38.2706430Z         Args:
2025-06-01T21:26:38.2706540Z             cls (type): A Python type to treat as an internal pytree node.
2025-06-01T21:26:38.2706710Z             flatten_fn (callable): A function to be used during flattening, taking an instance of
2025-06-01T21:26:38.2706860Z                 ``cls`` and returning a pair, with (1) an iterable for the children to be flattened
2025-06-01T21:26:38.2707040Z                 recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be
2025-06-01T21:26:38.2707100Z                 passed to the ``unflatten_fn``.
2025-06-01T21:26:38.2707270Z             unflatten_fn (callable): A function taking two arguments: the auxiliary data that was
2025-06-01T21:26:38.2707420Z                 returned by ``flatten_fn`` and stored in the treespec, and the unflattened children.
2025-06-01T21:26:38.2707570Z                 The function should return an instance of ``cls``.
2025-06-01T21:26:38.2707720Z             serialized_type_name (str, optional): A keyword argument used to specify the fully
2025-06-01T21:26:38.2707820Z                 qualified name used when serializing the tree spec.
2025-06-01T21:26:38.2708000Z             to_dumpable_context (callable, optional): An optional keyword argument to custom specify how
2025-06-01T21:26:38.2708170Z                 to convert the context of the pytree to a custom json dumpable representation. This is
2025-06-01T21:26:38.2708350Z                 used for json serialization, which is being used in :mod:`torch.export` right now.
2025-06-01T21:26:38.2708550Z             from_dumpable_context (callable, optional): An optional keyword argument to custom specify
2025-06-01T21:26:38.2708710Z                 how to convert the custom json dumpable representation of the context back to the
2025-06-01T21:26:38.2708860Z                 original context. This is used for json deserialization, which is being used in
2025-06-01T21:26:38.2708930Z                 :mod:`torch.export` right now.
2025-06-01T21:26:38.2708970Z     
2025-06-01T21:26:38.2709010Z         Example::
2025-06-01T21:26:38.2709050Z     
2025-06-01T21:26:38.2709100Z             >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2709190Z             >>> # Registry a Python type with lambda functions
2025-06-01T21:26:38.2709260Z             >>> register_pytree_node(
2025-06-01T21:26:38.2709310Z             ...     set,
2025-06-01T21:26:38.2709390Z             ...     lambda s: (sorted(s), None, None),
2025-06-01T21:26:38.2709460Z             ...     lambda children, _: set(children),
2025-06-01T21:26:38.2709500Z             ... )
2025-06-01T21:26:38.2709540Z         
2025-06-01T21:26:38.2709690Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2709730Z     
2025-06-01T21:26:38.2709780Z       warnings.warn(msg)
2025-06-01T21:26:38.2709810Z     
2025-06-01T21:26:38.2709910Z --- Parse Warning: 97 / 118 ---
2025-06-01T21:26:38.2710610Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CppExtension in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1137.
2025-06-01T21:26:38.2710770Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2710810Z     
2025-06-01T21:26:38.2710890Z     Create a :class:`setuptools.Extension` for C++.
2025-06-01T21:26:38.2710930Z     
2025-06-01T21:26:38.2711070Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-06-01T21:26:38.2711210Z     bare minimum (but often sufficient) arguments to build a C++ extension.
2025-06-01T21:26:38.2711240Z     
2025-06-01T21:26:38.2711370Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-06-01T21:26:38.2711460Z     constructor. Full list arguments can be found at
2025-06-01T21:26:38.2711650Z     https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-06-01T21:26:38.2711690Z     
2025-06-01T21:26:38.2711730Z     .. warning::
2025-06-01T21:26:38.2711870Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-06-01T21:26:38.2712000Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-06-01T21:26:38.2712110Z         the user's responsibility in their library to not use APIs from
2025-06-01T21:26:38.2712250Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-06-01T21:26:38.2712380Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-06-01T21:26:38.2712510Z         example, to give access to custom ops from python, the library should
2025-06-01T21:26:38.2712580Z         register the ops through the dispatcher.
2025-06-01T21:26:38.2712640Z     
2025-06-01T21:26:38.2712780Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-06-01T21:26:38.2712900Z         as a compile flag when py_limited_api is specified as an option for
2025-06-01T21:26:38.2713030Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-06-01T21:26:38.2713150Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-06-01T21:26:38.2713280Z         safety, and sanity in order to encourage best practices. To target a
2025-06-01T21:26:38.2713420Z         different version, set min_supported_cpython to the hexcode of the
2025-06-01T21:26:38.2713500Z         CPython version of choice.
2025-06-01T21:26:38.2713530Z     
2025-06-01T21:26:38.2713580Z     Example:
2025-06-01T21:26:38.2713630Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2713720Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-06-01T21:26:38.2713780Z         >>> from setuptools import setup
2025-06-01T21:26:38.2713910Z         >>> from torch.utils.cpp_extension import BuildExtension, CppExtension
2025-06-01T21:26:38.2713950Z         >>> setup(
2025-06-01T21:26:38.2714000Z         ...     name='extension',
2025-06-01T21:26:38.2714050Z         ...     ext_modules=[
2025-06-01T21:26:38.2714100Z         ...         CppExtension(
2025-06-01T21:26:38.2714160Z         ...             name='extension',
2025-06-01T21:26:38.2714230Z         ...             sources=['extension.cpp'],
2025-06-01T21:26:38.2714330Z         ...             extra_compile_args=['-g'],
2025-06-01T21:26:38.2714430Z         ...             extra_link_args=['-Wl,--no-as-needed', '-lm'])
2025-06-01T21:26:38.2714470Z         ...     ],
2025-06-01T21:26:38.2714510Z         ...     cmdclass={
2025-06-01T21:26:38.2714580Z         ...         'build_ext': BuildExtension
2025-06-01T21:26:38.2714620Z         ...     })
2025-06-01T21:26:38.2714660Z     
2025-06-01T21:26:38.2714800Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2714840Z     
2025-06-01T21:26:38.2714890Z       warnings.warn(msg)
2025-06-01T21:26:38.2714930Z     
2025-06-01T21:26:38.2715030Z --- Parse Warning: 98 / 118 ---
2025-06-01T21:26:38.2715730Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CUDAExtension in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1207.
2025-06-01T21:26:38.2715890Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2715930Z     
2025-06-01T21:26:38.2716020Z     Create a :class:`setuptools.Extension` for CUDA/C++.
2025-06-01T21:26:38.2716060Z     
2025-06-01T21:26:38.2718740Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-06-01T21:26:38.2718900Z     bare minimum (but often sufficient) arguments to build a CUDA/C++
2025-06-01T21:26:38.2719040Z     extension. This includes the CUDA include path, library path and runtime
2025-06-01T21:26:38.2719080Z     library.
2025-06-01T21:26:38.2719120Z     
2025-06-01T21:26:38.2719240Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-06-01T21:26:38.2719330Z     constructor. Full list arguments can be found at
2025-06-01T21:26:38.2719520Z     https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-06-01T21:26:38.2719560Z     
2025-06-01T21:26:38.2719600Z     .. warning::
2025-06-01T21:26:38.2719740Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-06-01T21:26:38.2719870Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-06-01T21:26:38.2719990Z         the user's responsibility in their library to not use APIs from
2025-06-01T21:26:38.2720120Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-06-01T21:26:38.2720340Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-06-01T21:26:38.2720460Z         example, to give access to custom ops from python, the library should
2025-06-01T21:26:38.2720540Z         register the ops through the dispatcher.
2025-06-01T21:26:38.2720570Z     
2025-06-01T21:26:38.2720700Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-06-01T21:26:38.2720820Z         as a compile flag when py_limited_api is specified as an option for
2025-06-01T21:26:38.2720950Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-06-01T21:26:38.2721110Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-06-01T21:26:38.2721260Z         safety, and sanity in order to encourage best practices. To target a
2025-06-01T21:26:38.2721390Z         different version, set min_supported_cpython to the hexcode of the
2025-06-01T21:26:38.2721440Z         CPython version of choice.
2025-06-01T21:26:38.2721480Z     
2025-06-01T21:26:38.2721520Z     Example:
2025-06-01T21:26:38.2721580Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2721660Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-06-01T21:26:38.2721730Z         >>> from setuptools import setup
2025-06-01T21:26:38.2721860Z         >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension
2025-06-01T21:26:38.2721900Z         >>> setup(
2025-06-01T21:26:38.2722000Z         ...     name='cuda_extension',
2025-06-01T21:26:38.2722050Z         ...     ext_modules=[
2025-06-01T21:26:38.2722100Z         ...         CUDAExtension(
2025-06-01T21:26:38.2722170Z         ...                 name='cuda_extension',
2025-06-01T21:26:38.2722270Z         ...                 sources=['extension.cpp', 'extension_kernel.cu'],
2025-06-01T21:26:38.2722350Z         ...                 extra_compile_args={'cxx': ['-g'],
2025-06-01T21:26:38.2722430Z         ...                                     'nvcc': ['-O2']},
2025-06-01T21:26:38.2722520Z         ...                 extra_link_args=['-Wl,--no-as-needed', '-lcuda'])
2025-06-01T21:26:38.2722570Z         ...     ],
2025-06-01T21:26:38.2722610Z         ...     cmdclass={
2025-06-01T21:26:38.2722680Z         ...         'build_ext': BuildExtension
2025-06-01T21:26:38.2722720Z         ...     })
2025-06-01T21:26:38.2722760Z     
2025-06-01T21:26:38.2722810Z     Compute capabilities:
2025-06-01T21:26:38.2722850Z     
2025-06-01T21:26:38.2723030Z     By default the extension will be compiled to run on all archs of the cards visible during the
2025-06-01T21:26:38.2723200Z     building process of the extension, plus PTX. If down the road a new card is installed the
2025-06-01T21:26:38.2723370Z     extension may need to be recompiled. If a visible card has a compute capability (CC) that's
2025-06-01T21:26:38.2723550Z     newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch
2025-06-01T21:26:38.2723710Z     will make nvcc fall back to building kernels with the newest version of PTX your nvcc does
2025-06-01T21:26:38.2723790Z     support (see below for details on PTX).
2025-06-01T21:26:38.2723830Z     
2025-06-01T21:26:38.2724010Z     You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which
2025-06-01T21:26:38.2724070Z     CCs you want the extension to support:
2025-06-01T21:26:38.2724110Z     
2025-06-01T21:26:38.2724220Z     ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py``
2025-06-01T21:26:38.2724360Z     ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py``
2025-06-01T21:26:38.2724400Z     
2025-06-01T21:26:38.2724590Z     The +PTX option causes extension kernel binaries to include PTX instructions for the specified
2025-06-01T21:26:38.2724780Z     CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >=
2025-06-01T21:26:38.2724950Z     the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with
2025-06-01T21:26:38.2725150Z     CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to
2025-06-01T21:26:38.2725340Z     provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on
2025-06-01T21:26:38.2725500Z     those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better
2025-06-01T21:26:38.2725680Z     off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6,
2025-06-01T21:26:38.2725870Z     "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but
2025-06-01T21:26:38.2725940Z     "8.0 8.6" would be better.
2025-06-01T21:26:38.2726000Z     
2025-06-01T21:26:38.2726180Z     Note that while it's possible to include all supported archs, the more archs get included the
2025-06-01T21:26:38.2726350Z     slower the building process will be, as it will build a separate kernel image for each arch.
2025-06-01T21:26:38.2726390Z     
2025-06-01T21:26:38.2726580Z     Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows.
2025-06-01T21:26:38.2726710Z     To workaround the issue, move python binding logic to pure C++ file.
2025-06-01T21:26:38.2726750Z     
2025-06-01T21:26:38.2726790Z     Example use:
2025-06-01T21:26:38.2726840Z         #include <ATen/ATen.h>
2025-06-01T21:26:38.2726940Z         at::Tensor SigmoidAlphaBlendForwardCuda(....)
2025-06-01T21:26:38.2726970Z     
2025-06-01T21:26:38.2727040Z     Instead of:
2025-06-01T21:26:38.2727090Z         #include <torch/extension.h>
2025-06-01T21:26:38.2727190Z         torch::Tensor SigmoidAlphaBlendForwardCuda(...)
2025-06-01T21:26:38.2727230Z     
2025-06-01T21:26:38.2727390Z     Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460
2025-06-01T21:26:38.2727680Z     Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48
2025-06-01T21:26:38.2727720Z     
2025-06-01T21:26:38.2727780Z     Relocatable device code linking:
2025-06-01T21:26:38.2727820Z     
2025-06-01T21:26:38.2728050Z     If you want to reference device symbols across compilation units (across object files),
2025-06-01T21:26:38.2728200Z     the object files need to be built with `relocatable device code` (-rdc=true or -dc).
2025-06-01T21:26:38.2728410Z     An exception to this rule is "dynamic parallelism" (nested kernel launches)  which is not used a lot anymore.
2025-06-01T21:26:38.2728610Z     `Relocatable device code` is less optimized so it needs to be used only on object files that need it.
2025-06-01T21:26:38.2728800Z     Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step
2025-06-01T21:26:38.2728910Z     helps reduce the protentional perf degradation of `-rdc`.
2025-06-01T21:26:38.2729010Z     Note that it needs to be used at both steps to be useful.
2025-06-01T21:26:38.2729040Z     
2025-06-01T21:26:38.2729260Z     If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step.
2025-06-01T21:26:38.2729370Z     There is also a case where `-dlink` is used without `-rdc`:
2025-06-01T21:26:38.2729520Z     when an extension is linked against a static lib containing rdc-compiled objects
2025-06-01T21:26:38.2729650Z     like the [NVSHMEM library](https://developer.nvidia.com/nvshmem).
2025-06-01T21:26:38.2729690Z     
2025-06-01T21:26:38.2729810Z     Note: Ninja is required to build a CUDA Extension with RDC linking.
2025-06-01T21:26:38.2729850Z     
2025-06-01T21:26:38.2729890Z     Example:
2025-06-01T21:26:38.2729940Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2730030Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-06-01T21:26:38.2730080Z         >>> CUDAExtension(
2025-06-01T21:26:38.2730140Z         ...        name='cuda_extension',
2025-06-01T21:26:38.2730240Z         ...        sources=['extension.cpp', 'extension_kernel.cu'],
2025-06-01T21:26:38.2730340Z         ...        dlink=True,
2025-06-01T21:26:38.2730410Z         ...        dlink_libraries=["dlink_lib"],
2025-06-01T21:26:38.2730490Z         ...        extra_compile_args={'cxx': ['-g'],
2025-06-01T21:26:38.2730560Z         ...                            'nvcc': ['-O2', '-rdc=true']})
2025-06-01T21:26:38.2730600Z     
2025-06-01T21:26:38.2730750Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2730790Z     
2025-06-01T21:26:38.2730840Z       warnings.warn(msg)
2025-06-01T21:26:38.2730880Z     
2025-06-01T21:26:38.2731000Z --- Parse Warning: 99 / 118 ---
2025-06-01T21:26:38.2731730Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyclExtension in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1398.
2025-06-01T21:26:38.2731910Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2731950Z     
2025-06-01T21:26:38.2732040Z     Creates a :class:`setuptools.Extension` for SYCL/C++.
2025-06-01T21:26:38.2732080Z     
2025-06-01T21:26:38.2732220Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-06-01T21:26:38.2732340Z     bare minimum (but often sufficient) arguments to build a SYCL/C++
2025-06-01T21:26:38.2732380Z     extension.
2025-06-01T21:26:38.2732420Z     
2025-06-01T21:26:38.2732560Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-06-01T21:26:38.2732600Z     constructor.
2025-06-01T21:26:38.2732650Z     
2025-06-01T21:26:38.2732690Z     .. warning::
2025-06-01T21:26:38.2732830Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-06-01T21:26:38.2732950Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-06-01T21:26:38.2733070Z         the user's responsibility in their library to not use APIs from
2025-06-01T21:26:38.2733210Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-06-01T21:26:38.2733340Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-06-01T21:26:38.2733460Z         example, to give access to custom ops from python, the library should
2025-06-01T21:26:38.2733530Z         register the ops through the dispatcher.
2025-06-01T21:26:38.2733570Z     
2025-06-01T21:26:38.2733700Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-06-01T21:26:38.2733830Z         as a compile flag when py_limited_api is specified as an option for
2025-06-01T21:26:38.2733950Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-06-01T21:26:38.2734080Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-06-01T21:26:38.2734200Z         safety, and sanity in order to encourage best practices. To target a
2025-06-01T21:26:38.2734330Z         different version, set min_supported_cpython to the hexcode of the
2025-06-01T21:26:38.2734390Z         CPython version of choice.
2025-06-01T21:26:38.2734430Z     
2025-06-01T21:26:38.2734470Z     Example:
2025-06-01T21:26:38.2734520Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2734600Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-06-01T21:26:38.2734740Z         >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension
2025-06-01T21:26:38.2734780Z         >>> setup(
2025-06-01T21:26:38.2734840Z         ...     name='xpu_extension',
2025-06-01T21:26:38.2734880Z         ...     ext_modules=[
2025-06-01T21:26:38.2734940Z         ...     SyclExtension(
2025-06-01T21:26:38.2735010Z         ...                 name='xpu_extension',
2025-06-01T21:26:38.2735110Z         ...                 sources=['extension.cpp', 'extension_kernel.cpp'],
2025-06-01T21:26:38.2735220Z         ...                 extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']})
2025-06-01T21:26:38.2735290Z         ...     ],
2025-06-01T21:26:38.2735330Z         ...     cmdclass={
2025-06-01T21:26:38.2735400Z         ...         'build_ext': BuildExtension
2025-06-01T21:26:38.2735440Z         ...     })
2025-06-01T21:26:38.2735480Z     
2025-06-01T21:26:38.2735660Z     By default the extension will be compiled to run on all archs of the cards visible during the
2025-06-01T21:26:38.2735800Z     building process of the extension. If down the road a new card is installed the
2025-06-01T21:26:38.2735960Z     extension may need to be recompiled. You can override the default behavior using
2025-06-01T21:26:38.2736150Z     `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension
2025-06-01T21:26:38.2736210Z     to support:
2025-06-01T21:26:38.2736250Z     
2025-06-01T21:26:38.2736370Z     ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py``
2025-06-01T21:26:38.2736410Z     
2025-06-01T21:26:38.2736590Z     Note that while it's possible to include all supported archs, the more archs get included the
2025-06-01T21:26:38.2736760Z     slower the building process will be, as it will build a separate kernel image for each arch.
2025-06-01T21:26:38.2736800Z     
2025-06-01T21:26:38.2736880Z     Note: Ninja is required to build SyclExtension.
2025-06-01T21:26:38.2736920Z     
2025-06-01T21:26:38.2737060Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2737100Z     
2025-06-01T21:26:38.2737150Z       warnings.warn(msg)
2025-06-01T21:26:38.2737220Z     
2025-06-01T21:26:38.2737330Z --- Parse Warning: 100 / 118 ---
2025-06-01T21:26:38.2738010Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1575.
2025-06-01T21:26:38.2738170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2738210Z     
2025-06-01T21:26:38.2738290Z     Load a PyTorch C++ extension just-in-time (JIT).
2025-06-01T21:26:38.2738330Z     
2025-06-01T21:26:38.2738450Z     To load an extension, a Ninja build file is emitted, which is used to
2025-06-01T21:26:38.2738570Z     compile the given sources into a dynamic library. This library is
2025-06-01T21:26:38.2738710Z     subsequently loaded into the current Python process as a module and
2025-06-01T21:26:38.2738780Z     returned from this function, ready for use.
2025-06-01T21:26:38.2738820Z     
2025-06-01T21:26:38.2738940Z     By default, the directory to which the build file is emitted and the
2025-06-01T21:26:38.2739080Z     resulting library compiled to is ``<tmp>/torch_extensions/<name>``, where
2025-06-01T21:26:38.2739200Z     ``<tmp>`` is the temporary folder on the current platform and ``<name>``
2025-06-01T21:26:38.2739330Z     the name of the extension. This location can be overridden in two ways.
2025-06-01T21:26:38.2739450Z     First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it
2025-06-01T21:26:38.2739580Z     replaces ``<tmp>/torch_extensions`` and all extensions will be compiled
2025-06-01T21:26:38.2739710Z     into subfolders of this directory. Second, if the ``build_directory``
2025-06-01T21:26:38.2739840Z     argument to this function is supplied, it overrides the entire path, i.e.
2025-06-01T21:26:38.2739940Z     the library will be compiled into that folder directly.
2025-06-01T21:26:38.2739980Z     
2025-06-01T21:26:38.2740100Z     To compile the sources, the default system compiler (``c++``) is used,
2025-06-01T21:26:38.2740250Z     which can be overridden by setting the ``CXX`` environment variable. To pass
2025-06-01T21:26:38.2740380Z     additional arguments to the compilation process, ``extra_cflags`` or
2025-06-01T21:26:38.2740510Z     ``extra_ldflags`` can be provided. For example, to compile your extension
2025-06-01T21:26:38.2740630Z     with optimizations, pass ``extra_cflags=['-O3']``. You can also use
2025-06-01T21:26:38.2740750Z     ``extra_cflags`` to pass further include directories.
2025-06-01T21:26:38.2740790Z     
2025-06-01T21:26:38.2740930Z     CUDA support with mixed compilation is provided. Simply pass CUDA source
2025-06-01T21:26:38.2741040Z     files (``.cu`` or ``.cuh``) along with other sources. Such files will be
2025-06-01T21:26:38.2741180Z     detected and compiled with nvcc rather than the C++ compiler. This includes
2025-06-01T21:26:38.2741310Z     passing the CUDA lib64 directory as a library directory, and linking
2025-06-01T21:26:38.2741420Z     ``cudart``. You can pass additional flags to nvcc via
2025-06-01T21:26:38.2741570Z     ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various
2025-06-01T21:26:38.2741710Z     heuristics for finding the CUDA install directory are used, which usually
2025-06-01T21:26:38.2741830Z     work fine. If not, setting the ``CUDA_HOME`` environment variable is the
2025-06-01T21:26:38.2741880Z     safest option.
2025-06-01T21:26:38.2741920Z     
2025-06-01T21:26:38.2742050Z     SYCL support with mixed compilation is provided. Simply pass SYCL source
2025-06-01T21:26:38.2742170Z     files (``.sycl``) along with other sources. Such files will be detected
2025-06-01T21:26:38.2742300Z     and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather
2025-06-01T21:26:38.2742420Z     than the C++ compiler. You can pass additional flags to SYCL compiler
2025-06-01T21:26:38.2742560Z     via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++.
2025-06-01T21:26:38.2742680Z     SYCL compiler is expected to be found via system PATH environment
2025-06-01T21:26:38.2742730Z     variable.
2025-06-01T21:26:38.2742770Z     
2025-06-01T21:26:38.2742800Z     Args:
2025-06-01T21:26:38.2742930Z         name: The name of the extension to build. This MUST be the same as the
2025-06-01T21:26:38.2742990Z             name of the pybind11 module!
2025-06-01T21:26:38.2743110Z         sources: A list of relative or absolute paths to C++ source files.
2025-06-01T21:26:38.2743250Z         extra_cflags: optional list of compiler flags to forward to the build.
2025-06-01T21:26:38.2743370Z         extra_cuda_cflags: optional list of compiler flags to forward to nvcc
2025-06-01T21:26:38.2743430Z             when building CUDA sources.
2025-06-01T21:26:38.2743560Z         extra_sycl_cflags: optional list of compiler flags to forward to SYCL
2025-06-01T21:26:38.2743630Z             compiler when building SYCL sources.
2025-06-01T21:26:38.2743760Z         extra_ldflags: optional list of linker flags to forward to the build.
2025-06-01T21:26:38.2743890Z         extra_include_paths: optional list of include directories to forward
2025-06-01T21:26:38.2743940Z             to the build.
2025-06-01T21:26:38.2744040Z         build_directory: optional path to use as build workspace.
2025-06-01T21:26:38.2744150Z         verbose: If ``True``, turns on verbose logging of load steps.
2025-06-01T21:26:38.2744280Z         with_cuda: Determines whether CUDA headers and libraries are added to
2025-06-01T21:26:38.2744380Z             the build. If set to ``None`` (default), this value is
2025-06-01T21:26:38.2744500Z             automatically determined based on the existence of ``.cu`` or
2025-06-01T21:26:38.2744600Z             ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers
2025-06-01T21:26:38.2744660Z             and libraries to be included.
2025-06-01T21:26:38.2744790Z         with_sycl: Determines whether SYCL headers and libraries are added to
2025-06-01T21:26:38.2744880Z             the build. If set to ``None`` (default), this value is
2025-06-01T21:26:38.2745010Z             automatically determined based on the existence of ``.sycl`` in
2025-06-01T21:26:38.2745110Z             ``sources``. Set it to `True`` to force SYCL headers and
2025-06-01T21:26:38.2745170Z             libraries to be included.
2025-06-01T21:26:38.2745290Z         is_python_module: If ``True`` (default), imports the produced shared
2025-06-01T21:26:38.2745420Z             library as a Python module. If ``False``, behavior depends on
2025-06-01T21:26:38.2745470Z             ``is_standalone``.
2025-06-01T21:26:38.2745590Z         is_standalone: If ``False`` (default) loads the constructed extension
2025-06-01T21:26:38.2745710Z             into the process as a plain dynamic library. If ``True``, build a
2025-06-01T21:26:38.2745770Z             standalone executable.
2025-06-01T21:26:38.2745800Z     
2025-06-01T21:26:38.2745840Z     Returns:
2025-06-01T21:26:38.2745910Z         If ``is_python_module`` is ``True``:
2025-06-01T21:26:38.2746030Z             Returns the loaded PyTorch extension as a Python module.
2025-06-01T21:26:38.2746090Z     
2025-06-01T21:26:38.2746210Z         If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``:
2025-06-01T21:26:38.2746340Z             Returns nothing. (The shared library is loaded into the process as
2025-06-01T21:26:38.2746390Z             a side effect.)
2025-06-01T21:26:38.2746430Z     
2025-06-01T21:26:38.2746480Z         If ``is_standalone`` is ``True``.
2025-06-01T21:26:38.2746600Z             Return the path to the executable. (On Windows, TORCH_LIB_PATH is
2025-06-01T21:26:38.2746710Z             added to the PATH environment variable as a side effect.)
2025-06-01T21:26:38.2746750Z     
2025-06-01T21:26:38.2746790Z     Example:
2025-06-01T21:26:38.2746840Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2746920Z         >>> from torch.utils.cpp_extension import load
2025-06-01T21:26:38.2746990Z         >>> module = load(
2025-06-01T21:26:38.2747040Z         ...     name='extension',
2025-06-01T21:26:38.2747140Z         ...     sources=['extension.cpp', 'extension_kernel.cu'],
2025-06-01T21:26:38.2747200Z         ...     extra_cflags=['-O2'],
2025-06-01T21:26:38.2747250Z         ...     verbose=True)
2025-06-01T21:26:38.2747290Z     
2025-06-01T21:26:38.2747430Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2747480Z     
2025-06-01T21:26:38.2747520Z       warnings.warn(msg)
2025-06-01T21:26:38.2747560Z     
2025-06-01T21:26:38.2747660Z --- Parse Warning: 101 / 118 ---
2025-06-01T21:26:38.2748360Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_inline in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1880.
2025-06-01T21:26:38.2748520Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2748550Z     
2025-06-01T21:26:38.2748680Z     Load a PyTorch C++ extension just-in-time (JIT) from string sources.
2025-06-01T21:26:38.2748720Z     
2025-06-01T21:26:38.2748860Z     This function behaves exactly like :func:`load`, but takes its sources as
2025-06-01T21:26:38.2748990Z     strings rather than filenames. These strings are stored to files in the
2025-06-01T21:26:38.2749120Z     build directory, after which the behavior of :func:`load_inline` is
2025-06-01T21:26:38.2749170Z     identical to :func:`load`.
2025-06-01T21:26:38.2749210Z     
2025-06-01T21:26:38.2749250Z     See `the
2025-06-01T21:26:38.2749440Z     tests <https://github.com/pytorch/pytorch/blob/master/test/test_cpp_extensions_jit.py>`_
2025-06-01T21:26:38.2749510Z     for good examples of using this function.
2025-06-01T21:26:38.2749550Z     
2025-06-01T21:26:38.2749690Z     Sources may omit two required parts of a typical non-inline C++ extension:
2025-06-01T21:26:38.2749830Z     the necessary header includes, as well as the (pybind11) binding code. More
2025-06-01T21:26:38.2749970Z     precisely, strings passed to ``cpp_sources`` are first concatenated into a
2025-06-01T21:26:38.2750090Z     single ``.cpp`` file. This file is then prepended with ``#include
2025-06-01T21:26:38.2750140Z     <torch/extension.h>``
2025-06-01T21:26:38.2750180Z     
2025-06-01T21:26:38.2750310Z     Furthermore, if the ``functions`` argument is supplied, bindings will be
2025-06-01T21:26:38.2750500Z     automatically generated for each function specified. ``functions`` can
2025-06-01T21:26:38.2750630Z     either be a list of function names, or a dictionary mapping from function
2025-06-01T21:26:38.2750760Z     names to docstrings. If a list is given, the name of each function is used
2025-06-01T21:26:38.2750810Z     as its docstring.
2025-06-01T21:26:38.2750840Z     
2025-06-01T21:26:38.2750970Z     The sources in ``cuda_sources`` are concatenated into a separate ``.cu``
2025-06-01T21:26:38.2751070Z     file and  prepended with ``torch/types.h``, ``cuda.h`` and
2025-06-01T21:26:38.2751220Z     ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled
2025-06-01T21:26:38.2751370Z     separately, but ultimately linked into a single library. Note that no
2025-06-01T21:26:38.2751510Z     bindings are generated for functions in ``cuda_sources`` per se. To bind
2025-06-01T21:26:38.2751630Z     to a CUDA kernel, you must create a C++ function that calls it, and either
2025-06-01T21:26:38.2751760Z     declare or define this C++ function in one of the ``cpp_sources`` (and
2025-06-01T21:26:38.2751820Z     include its name in ``functions``).
2025-06-01T21:26:38.2751860Z     
2025-06-01T21:26:38.2751990Z     The sources in ``sycl_sources`` are concatenated into a separate ``.sycl``
2025-06-01T21:26:38.2752110Z     file and  prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes.
2025-06-01T21:26:38.2752250Z     The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately
2025-06-01T21:26:38.2752380Z     linked into a single library. Note that no bindings are generated for
2025-06-01T21:26:38.2752510Z     functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must
2025-06-01T21:26:38.2752630Z     create a C++ function that calls it, and either declare or define this
2025-06-01T21:26:38.2752740Z     C++ function in one of the ``cpp_sources`` (and include its name
2025-06-01T21:26:38.2752790Z     in ``functions``).
2025-06-01T21:26:38.2752830Z     
2025-06-01T21:26:38.2752870Z     
2025-06-01T21:26:38.2752900Z     
2025-06-01T21:26:38.2753010Z     See :func:`load` for a description of arguments omitted below.
2025-06-01T21:26:38.2753050Z     
2025-06-01T21:26:38.2753090Z     Args:
2025-06-01T21:26:38.2753220Z         cpp_sources: A string, or list of strings, containing C++ source code.
2025-06-01T21:26:38.2753350Z         cuda_sources: A string, or list of strings, containing CUDA source code.
2025-06-01T21:26:38.2753480Z         sycl_sources: A string, or list of strings, containing SYCL source code.
2025-06-01T21:26:38.2753600Z         functions: A list of function names for which to generate function
2025-06-01T21:26:38.2753730Z             bindings. If a dictionary is given, it should map function names to
2025-06-01T21:26:38.2753840Z             docstrings (which are otherwise just the function names).
2025-06-01T21:26:38.2753970Z         with_cuda: Determines whether CUDA headers and libraries are added to
2025-06-01T21:26:38.2754070Z             the build. If set to ``None`` (default), this value is
2025-06-01T21:26:38.2754190Z             automatically determined based on whether ``cuda_sources`` is
2025-06-01T21:26:38.2754270Z             provided. Set it to ``True`` to force CUDA headers
2025-06-01T21:26:38.2754340Z             and libraries to be included.
2025-06-01T21:26:38.2754460Z         with_sycl: Determines whether SYCL headers and libraries are added to
2025-06-01T21:26:38.2754560Z             the build. If set to ``None`` (default), this value is
2025-06-01T21:26:38.2754680Z             automatically determined based on whether ``sycl_sources`` is
2025-06-01T21:26:38.2754770Z             provided. Set it to ``True`` to force SYCL headers
2025-06-01T21:26:38.2754830Z             and libraries to be included.
2025-06-01T21:26:38.2754950Z         with_pytorch_error_handling: Determines whether pytorch error and
2025-06-01T21:26:38.2755070Z             warning macros are handled by pytorch instead of pybind. To do
2025-06-01T21:26:38.2755220Z             this, each function ``foo`` is called via an intermediary ``_safe_foo``
2025-06-01T21:26:38.2755340Z             function. This redirection might cause issues in obscure cases
2025-06-01T21:26:38.2755450Z             of cpp. This flag should be set to ``False`` when this redirect
2025-06-01T21:26:38.2755500Z             causes issues.
2025-06-01T21:26:38.2755650Z         no_implicit_headers: If ``True``, skips automatically adding headers, most notably
2025-06-01T21:26:38.2755790Z             ``#include <torch/extension.h>`` and ``#include <torch/types.h>`` lines.
2025-06-01T21:26:38.2755900Z             Use this option to improve cold start times when you
2025-06-01T21:26:38.2756070Z             already include the necessary headers in your source code. Default: ``False``.
2025-06-01T21:26:38.2756110Z     
2025-06-01T21:26:38.2756150Z     Example:
2025-06-01T21:26:38.2756240Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-06-01T21:26:38.2756330Z         >>> from torch.utils.cpp_extension import load_inline
2025-06-01T21:26:38.2756380Z         >>> source = """
2025-06-01T21:26:38.2756460Z         at::Tensor sin_add(at::Tensor x, at::Tensor y) {
2025-06-01T21:26:38.2756520Z           return x.sin() + y.sin();
2025-06-01T21:26:38.2756560Z         }
2025-06-01T21:26:38.2756600Z         """
2025-06-01T21:26:38.2756680Z         >>> module = load_inline(name='inline_extension',
2025-06-01T21:26:38.2756770Z         ...                      cpp_sources=[source],
2025-06-01T21:26:38.2756850Z         ...                      functions=['sin_add'])
2025-06-01T21:26:38.2756890Z     
2025-06-01T21:26:38.2756930Z     .. note::
2025-06-01T21:26:38.2757070Z         Since load_inline will just-in-time compile the source code, please ensure
2025-06-01T21:26:38.2757210Z         that you have the right toolchains installed in the runtime. For example,
2025-06-01T21:26:38.2757340Z         when loading C++, make sure a C++ compiler is available. If you're loading
2025-06-01T21:26:38.2757480Z         a CUDA extension, you will need to additionally install the corresponding CUDA
2025-06-01T21:26:38.2757630Z         toolkit (nvcc and any other dependencies your code has). Compiling toolchains
2025-06-01T21:26:38.2757760Z         are not included when you install torch and must be additionally installed.
2025-06-01T21:26:38.2757800Z     
2025-06-01T21:26:38.2757950Z         During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build
2025-06-01T21:26:38.2758080Z         the extension. This may use up too many resources on some systems. One
2025-06-01T21:26:38.2758210Z         can control the number of workers by setting the `MAX_JOBS` environment
2025-06-01T21:26:38.2758280Z         variable to a non-negative number.
2025-06-01T21:26:38.2758320Z     
2025-06-01T21:26:38.2758460Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2758500Z     
2025-06-01T21:26:38.2758550Z       warnings.warn(msg)
2025-06-01T21:26:38.2758590Z     
2025-06-01T21:26:38.2758690Z --- Parse Warning: 102 / 118 ---
2025-06-01T21:26:38.2759420Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedSampler in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/utils/data/distributed.py line=18.
2025-06-01T21:26:38.2759570Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2759690Z     Sampler that restricts data loading to a subset of the dataset.
2025-06-01T21:26:38.2759730Z     
2025-06-01T21:26:38.2759810Z         It is especially useful in conjunction with
2025-06-01T21:26:38.2759960Z         :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each
2025-06-01T21:26:38.2760110Z         process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a
2025-06-01T21:26:38.2760270Z         :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the
2025-06-01T21:26:38.2760350Z         original dataset that is exclusive to it.
2025-06-01T21:26:38.2760380Z     
2025-06-01T21:26:38.2760430Z         .. note::
2025-06-01T21:26:38.2760570Z             Dataset is assumed to be of constant size and that any instance of it always
2025-06-01T21:26:38.2760650Z             returns the same elements in the same order.
2025-06-01T21:26:38.2760690Z     
2025-06-01T21:26:38.2760730Z         Args:
2025-06-01T21:26:38.2760800Z             dataset: Dataset used for sampling.
2025-06-01T21:26:38.2760950Z             num_replicas (int, optional): Number of processes participating in
2025-06-01T21:26:38.2761130Z                 distributed training. By default, :attr:`world_size` is retrieved from the
2025-06-01T21:26:38.2761190Z                 current distributed group.
2025-06-01T21:26:38.2761340Z             rank (int, optional): Rank of the current process within :attr:`num_replicas`.
2025-06-01T21:26:38.2761460Z                 By default, :attr:`rank` is retrieved from the current distributed
2025-06-01T21:26:38.2761500Z                 group.
2025-06-01T21:26:38.2761630Z             shuffle (bool, optional): If ``True`` (default), sampler will shuffle the
2025-06-01T21:26:38.2761680Z                 indices.
2025-06-01T21:26:38.2761800Z             seed (int, optional): random seed used to shuffle the sampler if
2025-06-01T21:26:38.2761930Z                 :attr:`shuffle=True`. This number should be identical across all
2025-06-01T21:26:38.2762030Z                 processes in the distributed group. Default: ``0``.
2025-06-01T21:26:38.2762160Z             drop_last (bool, optional): if ``True``, then the sampler will drop the
2025-06-01T21:26:38.2762280Z                 tail of the data to make it evenly divisible across the number of
2025-06-01T21:26:38.2762400Z                 replicas. If ``False``, the sampler will add extra indices to make
2025-06-01T21:26:38.2762530Z                 the data evenly divisible across the replicas. Default: ``False``.
2025-06-01T21:26:38.2762570Z     
2025-06-01T21:26:38.2762610Z         .. warning::
2025-06-01T21:26:38.2762730Z             In distributed mode, calling the :meth:`set_epoch` method at
2025-06-01T21:26:38.2762880Z             the beginning of each epoch **before** creating the :class:`DataLoader` iterator
2025-06-01T21:26:38.2763030Z             is necessary to make shuffling work properly across multiple epochs. Otherwise,
2025-06-01T21:26:38.2763100Z             the same ordering will be always used.
2025-06-01T21:26:38.2763140Z     
2025-06-01T21:26:38.2763190Z         Example::
2025-06-01T21:26:38.2763220Z     
2025-06-01T21:26:38.2763280Z             >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2763410Z             >>> sampler = DistributedSampler(dataset) if is_distributed else None
2025-06-01T21:26:38.2763510Z             >>> loader = DataLoader(dataset, shuffle=(sampler is None),
2025-06-01T21:26:38.2763580Z             ...                     sampler=sampler)
2025-06-01T21:26:38.2763660Z             >>> for epoch in range(start_epoch, n_epochs):
2025-06-01T21:26:38.2763720Z             ...     if is_distributed:
2025-06-01T21:26:38.2763780Z             ...         sampler.set_epoch(epoch)
2025-06-01T21:26:38.2763830Z             ...     train(loader)
2025-06-01T21:26:38.2763870Z         
2025-06-01T21:26:38.2764020Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2764060Z     
2025-06-01T21:26:38.2764110Z       warnings.warn(msg)
2025-06-01T21:26:38.2764150Z     
2025-06-01T21:26:38.2764250Z --- Parse Warning: 103 / 118 ---
2025-06-01T21:26:38.2764950Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_close in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/testing/_comparison.py line=1331.
2025-06-01T21:26:38.2765130Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2765210Z     Asserts that ``actual`` and ``expected`` are close.
2025-06-01T21:26:38.2765250Z     
2025-06-01T21:26:38.2765470Z         If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if
2025-06-01T21:26:38.2765510Z     
2025-06-01T21:26:38.2765550Z         .. math::
2025-06-01T21:26:38.2765590Z     
2025-06-01T21:26:38.2765810Z             \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert
2025-06-01T21:26:38.2765860Z     
2025-06-01T21:26:38.2766090Z         Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are
2025-06-01T21:26:38.2766210Z         only considered equal to each other if ``equal_nan`` is ``True``.
2025-06-01T21:26:38.2766250Z     
2025-06-01T21:26:38.2766370Z         In addition, they are only considered close if they have the same
2025-06-01T21:26:38.2766410Z     
2025-06-01T21:26:38.2766530Z         - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``),
2025-06-01T21:26:38.2766600Z         - ``dtype`` (if ``check_dtype`` is ``True``),
2025-06-01T21:26:38.2766690Z         - ``layout`` (if ``check_layout`` is ``True``), and
2025-06-01T21:26:38.2766760Z         - stride (if ``check_stride`` is ``True``).
2025-06-01T21:26:38.2766800Z     
2025-06-01T21:26:38.2767000Z         If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed.
2025-06-01T21:26:38.2767040Z     
2025-06-01T21:26:38.2767250Z         If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are
2025-06-01T21:26:38.2767470Z         checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR,
2025-06-01T21:26:38.2767610Z         or ``ccol_indices``  and ``row_indices`` for CSC and BSC layouts, respectively,
2025-06-01T21:26:38.2767830Z         are always checked for equality whereas the values are checked for closeness according to the definition above.
2025-06-01T21:26:38.2767870Z     
2025-06-01T21:26:38.2768040Z         If ``actual`` and ``expected`` are quantized, they are considered close if they have the same
2025-06-01T21:26:38.2768250Z         :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the
2025-06-01T21:26:38.2768300Z         definition above.
2025-06-01T21:26:38.2768340Z     
2025-06-01T21:26:38.2768520Z         ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which
2025-06-01T21:26:38.2768740Z         :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types
2025-06-01T21:26:38.2768960Z         have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s
2025-06-01T21:26:38.2769180Z         or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all
2025-06-01T21:26:38.2769320Z         their elements are considered close according to the above definition.
2025-06-01T21:26:38.2769360Z     
2025-06-01T21:26:38.2769400Z         .. note::
2025-06-01T21:26:38.2769440Z     
2025-06-01T21:26:38.2769630Z             Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e.
2025-06-01T21:26:38.2769830Z             :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus,
2025-06-01T21:26:38.2769990Z             Python scalars of different types can be checked, but require ``check_dtype=False``.
2025-06-01T21:26:38.2770030Z     
2025-06-01T21:26:38.2770070Z         Args:
2025-06-01T21:26:38.2770130Z             actual (Any): Actual input.
2025-06-01T21:26:38.2770200Z             expected (Any): Expected input.
2025-06-01T21:26:38.2770450Z             allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types
2025-06-01T21:26:38.2770550Z                 are allowed. Otherwise type equality is required.
2025-06-01T21:26:38.2770760Z             rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default
2025-06-01T21:26:38.2770920Z                 values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-06-01T21:26:38.2771150Z             atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default
2025-06-01T21:26:38.2771320Z                 values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-06-01T21:26:38.2771470Z             equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal.
2025-06-01T21:26:38.2771640Z             check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same
2025-06-01T21:26:38.2771790Z                 :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different
2025-06-01T21:26:38.2771930Z                 :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared.
2025-06-01T21:26:38.2772130Z             check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this
2025-06-01T21:26:38.2772350Z                 check is disabled, tensors with different ``dtype``'s are promoted  to a common ``dtype`` (according to
2025-06-01T21:26:38.2772460Z                 :func:`torch.promote_types`) before being compared.
2025-06-01T21:26:38.2772670Z             check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this
2025-06-01T21:26:38.2772860Z                 check is disabled, tensors with different ``layout``'s are converted to strided tensors before being
2025-06-01T21:26:38.2772910Z                 compared.
2025-06-01T21:26:38.2773120Z             check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride.
2025-06-01T21:26:38.2773330Z             msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during
2025-06-01T21:26:38.2773540Z                 the comparison. Can also passed as callable in which case it will be called with the generated message and
2025-06-01T21:26:38.2773600Z                 should return the new message.
2025-06-01T21:26:38.2773650Z     
2025-06-01T21:26:38.2773690Z         Raises:
2025-06-01T21:26:38.2773830Z             ValueError: If no :class:`torch.Tensor` can be constructed from an input.
2025-06-01T21:26:38.2773930Z             ValueError: If only ``rtol`` or ``atol`` is specified.
2025-06-01T21:26:38.2774120Z             AssertionError: If corresponding inputs are not Python scalars and are not directly related.
2025-06-01T21:26:38.2774330Z             AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have
2025-06-01T21:26:38.2774390Z                 different types.
2025-06-01T21:26:38.2774600Z             AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match.
2025-06-01T21:26:38.2774810Z             AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match.
2025-06-01T21:26:38.2777550Z             AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`.
2025-06-01T21:26:38.2777740Z             AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same
2025-06-01T21:26:38.2777810Z                 :attr:`~torch.Tensor.layout`.
2025-06-01T21:26:38.2777950Z             AssertionError: If only one of corresponding tensors is quantized.
2025-06-01T21:26:38.2778170Z             AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s.
2025-06-01T21:26:38.2778430Z             AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same
2025-06-01T21:26:38.2778500Z                 :attr:`~torch.Tensor.device`.
2025-06-01T21:26:38.2778690Z             AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``.
2025-06-01T21:26:38.2778900Z             AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride.
2025-06-01T21:26:38.2779130Z             AssertionError: If the values of corresponding tensors are not close according to the definition above.
2025-06-01T21:26:38.2779190Z     
2025-06-01T21:26:38.2779400Z         The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching
2025-06-01T21:26:38.2779490Z         ``dtype``'s, the maximum of both tolerances is used.
2025-06-01T21:26:38.2779530Z     
2025-06-01T21:26:38.2779610Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2779690Z         | ``dtype``                 | ``rtol``   | ``atol`` |
2025-06-01T21:26:38.2779750Z         +===========================+============+==========+
2025-06-01T21:26:38.2779840Z         | :attr:`~torch.float16`    | ``1e-3``   | ``1e-5`` |
2025-06-01T21:26:38.2779910Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2779990Z         | :attr:`~torch.bfloat16`   | ``1.6e-2`` | ``1e-5`` |
2025-06-01T21:26:38.2780130Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2780210Z         | :attr:`~torch.float32`    | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:38.2780290Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2780360Z         | :attr:`~torch.float64`    | ``1e-7``   | ``1e-7`` |
2025-06-01T21:26:38.2780440Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2780510Z         | :attr:`~torch.complex32`  | ``1e-3``   | ``1e-5`` |
2025-06-01T21:26:38.2780590Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2780670Z         | :attr:`~torch.complex64`  | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:38.2780740Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2780820Z         | :attr:`~torch.complex128` | ``1e-7``   | ``1e-7`` |
2025-06-01T21:26:38.2780900Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2780980Z         | :attr:`~torch.quint8`     | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:38.2781050Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2781130Z         | :attr:`~torch.quint2x4`   | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:38.2781210Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2781280Z         | :attr:`~torch.quint4x2`   | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:38.2781360Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2781440Z         | :attr:`~torch.qint8`      | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:38.2781510Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2781590Z         | :attr:`~torch.qint32`     | ``1.3e-6`` | ``1e-5`` |
2025-06-01T21:26:38.2781660Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2781730Z         | other                     | ``0.0``    | ``0.0``  |
2025-06-01T21:26:38.2781810Z         +---------------------------+------------+----------+
2025-06-01T21:26:38.2781850Z     
2025-06-01T21:26:38.2781890Z         .. note::
2025-06-01T21:26:38.2781930Z     
2025-06-01T21:26:38.2782150Z             :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged
2025-06-01T21:26:38.2782360Z             to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might
2025-06-01T21:26:38.2782510Z             define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default:
2025-06-01T21:26:38.2782580Z     
2025-06-01T21:26:38.2782630Z             >>> import functools
2025-06-01T21:26:38.2782780Z             >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0)
2025-06-01T21:26:38.2782840Z             >>> assert_equal(1e-9, 1e-10)
2025-06-01T21:26:38.2782910Z             Traceback (most recent call last):
2025-06-01T21:26:38.2782950Z             ...
2025-06-01T21:26:38.2783020Z             AssertionError: Scalars are not equal!
2025-06-01T21:26:38.2783070Z             <BLANKLINE>
2025-06-01T21:26:38.2783150Z             Expected 1e-10 but got 1e-09.
2025-06-01T21:26:38.2783260Z             Absolute difference: 9.000000000000001e-10
2025-06-01T21:26:38.2783310Z             Relative difference: 9.0
2025-06-01T21:26:38.2783350Z     
2025-06-01T21:26:38.2783390Z         Examples:
2025-06-01T21:26:38.2783460Z             >>> # tensor to tensor comparison
2025-06-01T21:26:38.2783530Z             >>> expected = torch.tensor([1e0, 1e-1, 1e-2])
2025-06-01T21:26:38.2783610Z             >>> actual = torch.acos(torch.cos(expected))
2025-06-01T21:26:38.2783700Z             >>> torch.testing.assert_close(actual, expected)
2025-06-01T21:26:38.2783740Z     
2025-06-01T21:26:38.2783800Z             >>> # scalar to scalar comparison
2025-06-01T21:26:38.2783850Z             >>> import math
2025-06-01T21:26:38.2783900Z             >>> expected = math.sqrt(2.0)
2025-06-01T21:26:38.2783990Z             >>> actual = 2.0 / math.sqrt(2.0)
2025-06-01T21:26:38.2784070Z             >>> torch.testing.assert_close(actual, expected)
2025-06-01T21:26:38.2784110Z     
2025-06-01T21:26:38.2784190Z             >>> # numpy array to numpy array comparison
2025-06-01T21:26:38.2784240Z             >>> import numpy as np
2025-06-01T21:26:38.2784310Z             >>> expected = np.array([1e0, 1e-1, 1e-2])
2025-06-01T21:26:38.2784380Z             >>> actual = np.arccos(np.cos(expected))
2025-06-01T21:26:38.2784470Z             >>> torch.testing.assert_close(actual, expected)
2025-06-01T21:26:38.2784510Z     
2025-06-01T21:26:38.2784580Z             >>> # sequence to sequence comparison
2025-06-01T21:26:38.2784630Z             >>> import numpy as np
2025-06-01T21:26:38.2784780Z             >>> # The types of the sequences do not have to match. They only have to have the same
2025-06-01T21:26:38.2784860Z             >>> # length and their elements have to match.
2025-06-01T21:26:38.2784950Z             >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)]
2025-06-01T21:26:38.2785010Z             >>> actual = tuple(expected)
2025-06-01T21:26:38.2785100Z             >>> torch.testing.assert_close(actual, expected)
2025-06-01T21:26:38.2785140Z     
2025-06-01T21:26:38.2785200Z             >>> # mapping to mapping comparison
2025-06-01T21:26:38.2785270Z             >>> from collections import OrderedDict
2025-06-01T21:26:38.2785330Z             >>> import numpy as np
2025-06-01T21:26:38.2785380Z             >>> foo = torch.tensor(1.0)
2025-06-01T21:26:38.2785430Z             >>> bar = 2.0
2025-06-01T21:26:38.2785480Z             >>> baz = np.array(3.0)
2025-06-01T21:26:38.2785630Z             >>> # The types and a possible ordering of mappings do not have to match. They only
2025-06-01T21:26:38.2785760Z             >>> # have to have the same set of keys and their elements have to match.
2025-06-01T21:26:38.2785880Z             >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)])
2025-06-01T21:26:38.2785960Z             >>> actual = {"baz": baz, "bar": bar, "foo": foo}
2025-06-01T21:26:38.2786050Z             >>> torch.testing.assert_close(actual, expected)
2025-06-01T21:26:38.2786090Z     
2025-06-01T21:26:38.2786160Z             >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-06-01T21:26:38.2786220Z             >>> actual = expected.clone()
2025-06-01T21:26:38.2786330Z             >>> # By default, directly related instances can be compared
2025-06-01T21:26:38.2786460Z             >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected)
2025-06-01T21:26:38.2786590Z             >>> # This check can be made more strict with allow_subclasses=False
2025-06-01T21:26:38.2786650Z             >>> torch.testing.assert_close(
2025-06-01T21:26:38.2786770Z             ...     torch.nn.Parameter(actual), expected, allow_subclasses=False
2025-06-01T21:26:38.2786810Z             ... )
2025-06-01T21:26:38.2786880Z             Traceback (most recent call last):
2025-06-01T21:26:38.2786920Z             ...
2025-06-01T21:26:38.2787050Z             TypeError: No comparison pair was able to handle inputs of type
2025-06-01T21:26:38.2787200Z             <class 'torch.nn.parameter.Parameter'> and <class 'torch.Tensor'>.
2025-06-01T21:26:38.2787360Z             >>> # If the inputs are not directly related, they are never considered close
2025-06-01T21:26:38.2787470Z             >>> torch.testing.assert_close(actual.numpy(), expected)
2025-06-01T21:26:38.2787540Z             Traceback (most recent call last):
2025-06-01T21:26:38.2787580Z             ...
2025-06-01T21:26:38.2787750Z             TypeError: No comparison pair was able to handle inputs of type <class 'numpy.ndarray'>
2025-06-01T21:26:38.2787800Z             and <class 'torch.Tensor'>.
2025-06-01T21:26:38.2787960Z             >>> # Exceptions to these rules are Python scalars. They can be checked regardless of
2025-06-01T21:26:38.2788030Z             >>> # their type if check_dtype=False.
2025-06-01T21:26:38.2788160Z             >>> torch.testing.assert_close(1.0, 1, check_dtype=False)
2025-06-01T21:26:38.2788200Z     
2025-06-01T21:26:38.2788250Z             >>> # NaN != NaN by default.
2025-06-01T21:26:38.2788330Z             >>> expected = torch.tensor(float("Nan"))
2025-06-01T21:26:38.2788390Z             >>> actual = expected.clone()
2025-06-01T21:26:38.2788480Z             >>> torch.testing.assert_close(actual, expected)
2025-06-01T21:26:38.2788540Z             Traceback (most recent call last):
2025-06-01T21:26:38.2788580Z             ...
2025-06-01T21:26:38.2788650Z             AssertionError: Scalars are not close!
2025-06-01T21:26:38.2788700Z             <BLANKLINE>
2025-06-01T21:26:38.2788750Z             Expected nan but got nan.
2025-06-01T21:26:38.2788840Z             Absolute difference: nan (up to 1e-05 allowed)
2025-06-01T21:26:38.2788920Z             Relative difference: nan (up to 1.3e-06 allowed)
2025-06-01T21:26:38.2789040Z             >>> torch.testing.assert_close(actual, expected, equal_nan=True)
2025-06-01T21:26:38.2789080Z     
2025-06-01T21:26:38.2789160Z             >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-06-01T21:26:38.2789230Z             >>> actual = torch.tensor([1.0, 4.0, 5.0])
2025-06-01T21:26:38.2789310Z             >>> # The default error message can be overwritten.
2025-06-01T21:26:38.2789490Z             >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!")
2025-06-01T21:26:38.2789550Z             Traceback (most recent call last):
2025-06-01T21:26:38.2789590Z             ...
2025-06-01T21:26:38.2789680Z             AssertionError: Argh, the tensors are not close!
2025-06-01T21:26:38.2789820Z             >>> # If msg is a callable, it can be used to augment the generated message with
2025-06-01T21:26:38.2789870Z             >>> # extra information
2025-06-01T21:26:38.2789930Z             >>> torch.testing.assert_close(
2025-06-01T21:26:38.2790050Z             ...     actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter"
2025-06-01T21:26:38.2790090Z             ... )
2025-06-01T21:26:38.2790160Z             Traceback (most recent call last):
2025-06-01T21:26:38.2790200Z             ...
2025-06-01T21:26:38.2790250Z             AssertionError: Header
2025-06-01T21:26:38.2790300Z             <BLANKLINE>
2025-06-01T21:26:38.2790360Z             Tensor-likes are not close!
2025-06-01T21:26:38.2790400Z             <BLANKLINE>
2025-06-01T21:26:38.2790470Z             Mismatched elements: 2 / 3 (66.7%)
2025-06-01T21:26:38.2790600Z             Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed)
2025-06-01T21:26:38.2790760Z             Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed)
2025-06-01T21:26:38.2790810Z             <BLANKLINE>
2025-06-01T21:26:38.2790850Z             Footer
2025-06-01T21:26:38.2790890Z         
2025-06-01T21:26:38.2791040Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2791080Z     
2025-06-01T21:26:38.2791130Z       warnings.warn(msg)
2025-06-01T21:26:38.2791170Z     
2025-06-01T21:26:38.2791290Z --- Parse Warning: 104 / 118 ---
2025-06-01T21:26:38.2792010Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=triton_op in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/triton.py line=21.
2025-06-01T21:26:38.2792190Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2792340Z     Create a custom operator whose implementation is backed by 1+ triton kernels.
2025-06-01T21:26:38.2792380Z     
2025-06-01T21:26:38.2792500Z         This is a more structured way of using triton kernels with PyTorch.
2025-06-01T21:26:38.2792650Z         Prefer using triton kernels with no ``torch.library`` custom operator wrappers
2025-06-01T21:26:38.2792800Z         (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because
2025-06-01T21:26:38.2792870Z         that is simpler;
2025-06-01T21:26:38.2793020Z         only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you
2025-06-01T21:26:38.2793160Z         want to create an operator that behaves like PyTorch built-in operators.
2025-06-01T21:26:38.2793280Z         For example, you may use a ``torch.library`` wrapper API to define the
2025-06-01T21:26:38.2793410Z         behavior of the triton kernel when passed a tensor subclass or under
2025-06-01T21:26:38.2793460Z         a TorchDispatchMode.
2025-06-01T21:26:38.2793510Z     
2025-06-01T21:26:38.2793650Z         Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op`
2025-06-01T21:26:38.2793700Z         when the implementation
2025-06-01T21:26:38.2793830Z         consists of 1+ triton kernels. :func:`torch.library.custom_op` treats
2025-06-01T21:26:38.2793930Z         custom operators as opaque (:func:`torch.compile` and
2025-06-01T21:26:38.2794080Z         :func:`torch.export.export` will never trace into them), but ``triton_op``
2025-06-01T21:26:38.2794210Z         makes the implementation visible to these subsystems, allowing them
2025-06-01T21:26:38.2794270Z         to optimize the triton kernel(s).
2025-06-01T21:26:38.2794310Z     
2025-06-01T21:26:38.2794430Z         Note that ``fn`` must only consist of calls to PyTorch-understood
2025-06-01T21:26:38.2794560Z         operators and triton kernels. Any triton kernels called inside ``fn``
2025-06-01T21:26:38.2794680Z         must be wrapped in a call to :func:`torch.library.wrap_triton`.
2025-06-01T21:26:38.2794720Z     
2025-06-01T21:26:38.2794760Z         Args:
2025-06-01T21:26:38.2794900Z             name (str): A name for the custom op that looks like "{namespace}::{name}",
2025-06-01T21:26:38.2795030Z                 e.g. "mylib::my_linear". The name is used as the op's stable identifier
2025-06-01T21:26:38.2795130Z                 in PyTorch subsystems (e.g. torch.export, FX graphs).
2025-06-01T21:26:38.2795270Z                 To avoid name collisions, please use your project name as the namespace;
2025-06-01T21:26:38.2795400Z                 e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace.
2025-06-01T21:26:38.2795560Z             mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates.
2025-06-01T21:26:38.2795700Z                 This MUST be accurate, otherwise, the behavior is undefined. If "unknown",
2025-06-01T21:26:38.2795860Z                 it pessimistically assumes that all inputs to the operator are being mutated.
2025-06-01T21:26:38.2796000Z             schema (None | str): A schema string for the operator. If None
2025-06-01T21:26:38.2796120Z                 (recommended) we'll infer a schema for the operator from its type
2025-06-01T21:26:38.2796240Z                 annotations. We recommend letting us infer a schema unless you
2025-06-01T21:26:38.2796310Z                 have a specific reason not to.
2025-06-01T21:26:38.2796400Z                 Example: "(Tensor x, int y) -> (Tensor, Tensor)".
2025-06-01T21:26:38.2796440Z     
2025-06-01T21:26:38.2796480Z         Example::
2025-06-01T21:26:38.2796520Z     
2025-06-01T21:26:38.2796620Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-06-01T21:26:38.2796690Z             >>> import torch
2025-06-01T21:26:38.2796780Z             >>> from torch.library import triton_op, wrap_triton
2025-06-01T21:26:38.2796820Z             >>>
2025-06-01T21:26:38.2796870Z             >>> import triton
2025-06-01T21:26:38.2796940Z             >>> from triton import language as tl
2025-06-01T21:26:38.2796980Z             >>>
2025-06-01T21:26:38.2797030Z             >>> @triton.jit
2025-06-01T21:26:38.2797080Z             >>> def add_kernel(
2025-06-01T21:26:38.2797130Z             >>>     in_ptr0,
2025-06-01T21:26:38.2797170Z             >>>     in_ptr1,
2025-06-01T21:26:38.2797220Z             >>>     out_ptr,
2025-06-01T21:26:38.2797270Z             >>>     n_elements,
2025-06-01T21:26:38.2797330Z             >>>     BLOCK_SIZE: "tl.constexpr",
2025-06-01T21:26:38.2797430Z             >>> ):
2025-06-01T21:26:38.2797490Z             >>>     pid = tl.program_id(axis=0)
2025-06-01T21:26:38.2797560Z             >>>     block_start = pid * BLOCK_SIZE
2025-06-01T21:26:38.2797650Z             >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-06-01T21:26:38.2797710Z             >>>     mask = offsets < n_elements
2025-06-01T21:26:38.2797790Z             >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-06-01T21:26:38.2797870Z             >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-06-01T21:26:38.2797920Z             >>>     output = x + y
2025-06-01T21:26:38.2798010Z             >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-06-01T21:26:38.2798050Z             >>>
2025-06-01T21:26:38.2798130Z             >>> @triton_op("mylib::add", mutates_args={})
2025-06-01T21:26:38.2798240Z             >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
2025-06-01T21:26:38.2798310Z             >>>     output = torch.empty_like(x)
2025-06-01T21:26:38.2798370Z             >>>     n_elements = output.numel()
2025-06-01T21:26:38.2798410Z             >>>
2025-06-01T21:26:38.2798470Z             >>>     def grid(meta):
2025-06-01T21:26:38.2798570Z             >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-06-01T21:26:38.2798610Z             >>>
2025-06-01T21:26:38.2798720Z             >>>     # NB: we need to wrap the triton kernel in a call to wrap_triton
2025-06-01T21:26:38.2798840Z             >>>     wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16)
2025-06-01T21:26:38.2798890Z             >>>     return output
2025-06-01T21:26:38.2798930Z             >>>
2025-06-01T21:26:38.2798980Z             >>> @torch.compile
2025-06-01T21:26:38.2799030Z             >>> def f(x, y):
2025-06-01T21:26:38.2799080Z             >>>     return add(x, y)
2025-06-01T21:26:38.2799120Z             >>>
2025-06-01T21:26:38.2799190Z             >>> x = torch.randn(3, device="cuda")
2025-06-01T21:26:38.2799260Z             >>> y = torch.randn(3, device="cuda")
2025-06-01T21:26:38.2799300Z             >>>
2025-06-01T21:26:38.2799340Z             >>> z = f(x, y)
2025-06-01T21:26:38.2799410Z             >>> assert torch.allclose(z, x + y)
2025-06-01T21:26:38.2799450Z     
2025-06-01T21:26:38.2799490Z         
2025-06-01T21:26:38.2799640Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2799670Z     
2025-06-01T21:26:38.2799720Z       warnings.warn(msg)
2025-06-01T21:26:38.2799780Z     
2025-06-01T21:26:38.2799880Z --- Parse Warning: 105 / 118 ---
2025-06-01T21:26:38.2800570Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=wrap_triton in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/triton.py line=202.
2025-06-01T21:26:38.2800720Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2800840Z     Allows capture of a triton kernel into a graph via make_fx or
2025-06-01T21:26:38.2800920Z         non-strict ``torch.export``.
2025-06-01T21:26:38.2800990Z     
2025-06-01T21:26:38.2801100Z         These technologies perform Dispatcher-based tracing (via
2025-06-01T21:26:38.2801220Z         ``__torch_dispatch__``) and cannot see calls to raw triton kernels.
2025-06-01T21:26:38.2801340Z         The ``wrap_triton`` API wraps a triton kernel into a callable that
2025-06-01T21:26:38.2801400Z         can actually be traced into a graph.
2025-06-01T21:26:38.2801440Z     
2025-06-01T21:26:38.2801560Z         Please use this API together with :func:`torch.library.triton_op`.
2025-06-01T21:26:38.2801600Z     
2025-06-01T21:26:38.2801640Z         Examples:
2025-06-01T21:26:38.2801680Z     
2025-06-01T21:26:38.2801730Z             >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2801780Z             >>> import torch
2025-06-01T21:26:38.2801830Z             >>> import triton
2025-06-01T21:26:38.2801920Z             >>> from triton import language as tl
2025-06-01T21:26:38.2802030Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-06-01T21:26:38.2802110Z             >>> from torch.library import wrap_triton
2025-06-01T21:26:38.2802150Z             >>>
2025-06-01T21:26:38.2802200Z             >>> @triton.jit
2025-06-01T21:26:38.2802250Z             >>> def add_kernel(
2025-06-01T21:26:38.2802300Z             >>>     in_ptr0,
2025-06-01T21:26:38.2802340Z             >>>     in_ptr1,
2025-06-01T21:26:38.2802390Z             >>>     out_ptr,
2025-06-01T21:26:38.2802440Z             >>>     n_elements,
2025-06-01T21:26:38.2802500Z             >>>     BLOCK_SIZE: "tl.constexpr",
2025-06-01T21:26:38.2802540Z             >>> ):
2025-06-01T21:26:38.2802610Z             >>>     pid = tl.program_id(axis=0)
2025-06-01T21:26:38.2802670Z             >>>     block_start = pid * BLOCK_SIZE
2025-06-01T21:26:38.2802770Z             >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-06-01T21:26:38.2802820Z             >>>     mask = offsets < n_elements
2025-06-01T21:26:38.2802910Z             >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-06-01T21:26:38.2802980Z             >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-06-01T21:26:38.2803040Z             >>>     output = x + y
2025-06-01T21:26:38.2803120Z             >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-06-01T21:26:38.2803160Z             >>>
2025-06-01T21:26:38.2803210Z             >>> def add(x, y):
2025-06-01T21:26:38.2803280Z             >>>     output = torch.empty_like(x)
2025-06-01T21:26:38.2803340Z             >>>     n_elements = output.numel()
2025-06-01T21:26:38.2803380Z             >>>
2025-06-01T21:26:38.2803440Z             >>>     def grid_fn(meta):
2025-06-01T21:26:38.2803540Z             >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-06-01T21:26:38.2803580Z             >>>
2025-06-01T21:26:38.2803700Z             >>>     wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16)
2025-06-01T21:26:38.2803750Z             >>>     return output
2025-06-01T21:26:38.2803790Z             >>>
2025-06-01T21:26:38.2803860Z             >>> x = torch.randn(3, device="cuda")
2025-06-01T21:26:38.2803920Z             >>> y = torch.randn(3, device="cuda")
2025-06-01T21:26:38.2803980Z             >>> gm = make_fx(add)(x, y)
2025-06-01T21:26:38.2804030Z             >>> print(gm.code)
2025-06-01T21:26:38.2804090Z             >>> # def forward(self, x_1, y_1):
2025-06-01T21:26:38.2804260Z             >>> #     empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False)
2025-06-01T21:26:38.2804400Z             >>> #     triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation(
2025-06-01T21:26:38.2804480Z             >>> #         kernel_idx = 0, constant_args_idx = 0,
2025-06-01T21:26:38.2804550Z             >>> #         grid = [(1, 1, 1)], kwargs = {
2025-06-01T21:26:38.2804650Z             >>> #             'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like,
2025-06-01T21:26:38.2804730Z             >>> #             'n_elements': 3, 'BLOCK_SIZE': 16
2025-06-01T21:26:38.2804800Z             >>> #         })
2025-06-01T21:26:38.2804870Z             >>> #     return empty_like
2025-06-01T21:26:38.2804910Z     
2025-06-01T21:26:38.2804950Z         
2025-06-01T21:26:38.2805100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2805140Z     
2025-06-01T21:26:38.2805190Z       warnings.warn(msg)
2025-06-01T21:26:38.2805230Z     
2025-06-01T21:26:38.2805330Z --- Parse Warning: 106 / 118 ---
2025-06-01T21:26:38.2806070Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_library/fake_profile.py line=94.
2025-06-01T21:26:38.2806240Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2806280Z     
2025-06-01T21:26:38.2806420Z     Registers a fake kernel based on the given operator profiles. This fake
2025-06-01T21:26:38.2806560Z     kernel registration will override any existing fake kernel registrations.
2025-06-01T21:26:38.2806600Z     
2025-06-01T21:26:38.2806730Z     The input is a dictionary mapping operator names to a set of operator
2025-06-01T21:26:38.2806860Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-06-01T21:26:38.2806990Z     are a record of the input and output tensor metadata. Based on this
2025-06-01T21:26:38.2807120Z     information we will match a given input to the recorded profile, and return
2025-06-01T21:26:38.2807260Z     an output with the same metadata as in the recorded profile. If a profile
2025-06-01T21:26:38.2807340Z     doesn't exist then an exception will be thrown.
2025-06-01T21:26:38.2807380Z     
2025-06-01T21:26:38.2807510Z     The fake kernel generation is considerd unsafe because it relies on the
2025-06-01T21:26:38.2807640Z     rigid, pre-defined operator profiles that do not account for potential
2025-06-01T21:26:38.2807790Z     variations in output behavior. Specifically, the generated kernels assume a
2025-06-01T21:26:38.2807940Z     fixed relationship between input and output ranks. However, in reality, it's
2025-06-01T21:26:38.2808080Z     possible that data-dependent operations may produce outputs of different
2025-06-01T21:26:38.2808210Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-06-01T21:26:38.2808340Z     are inflexible and unable to accommodate these nuances, making them
2025-06-01T21:26:38.2808390Z     potentially unsafe.
2025-06-01T21:26:38.2808430Z     
2025-06-01T21:26:38.2808470Z     Args:
2025-06-01T21:26:38.2808600Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-06-01T21:26:38.2808720Z             name to a set of operator profiles from which we will generate fake
2025-06-01T21:26:38.2808760Z             kernels.
2025-06-01T21:26:38.2808800Z     
2025-06-01T21:26:38.2808840Z     Examples:
2025-06-01T21:26:38.2808880Z     
2025-06-01T21:26:38.2808980Z         >>> # Example: Registering an op-profile from draft-export
2025-06-01T21:26:38.2809030Z         >>> import torch
2025-06-01T21:26:38.2809130Z         >>> from torch.export._draft_export import draft_export
2025-06-01T21:26:38.2809170Z         >>>
2025-06-01T21:26:38.2809310Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-06-01T21:26:38.2809380Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-06-01T21:26:38.2809430Z         >>>     return x + y
2025-06-01T21:26:38.2809470Z         >>>
2025-06-01T21:26:38.2809530Z         >>> class M(torch.nn.Module):
2025-06-01T21:26:38.2809590Z         >>>     def forward(self, a, b):
2025-06-01T21:26:38.2809680Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-06-01T21:26:38.2809730Z         >>>         return res
2025-06-01T21:26:38.2809770Z         >>>
2025-06-01T21:26:38.2809890Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-06-01T21:26:38.2809950Z         >>>
2025-06-01T21:26:38.2810130Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-06-01T21:26:38.2810200Z         >>>     decomp = ep.run_decompositions()
2025-06-01T21:26:38.2810240Z     
2025-06-01T21:26:38.2810280Z     
2025-06-01T21:26:38.2810430Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2810460Z     
2025-06-01T21:26:38.2810510Z       warnings.warn(msg)
2025-06-01T21:26:38.2810550Z     
2025-06-01T21:26:38.2810650Z --- Parse Warning: 107 / 118 ---
2025-06-01T21:26:38.2811370Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Conv1d in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=354.
2025-06-01T21:26:38.2811530Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2811660Z     Applies a 1D convolution over a quantized input signal composed of
2025-06-01T21:26:38.2811720Z         several quantized input planes.
2025-06-01T21:26:38.2811760Z     
2025-06-01T21:26:38.2811880Z         For details on input arguments, parameters, and implementation see
2025-06-01T21:26:38.2811940Z         :class:`~torch.nn.Conv1d`.
2025-06-01T21:26:38.2811980Z     
2025-06-01T21:26:38.2812020Z         .. note::
2025-06-01T21:26:38.2812140Z             Only `zeros` is supported for the :attr:`padding_mode` argument.
2025-06-01T21:26:38.2812180Z     
2025-06-01T21:26:38.2812220Z         .. note::
2025-06-01T21:26:38.2812320Z             Only `torch.quint8` is supported for the input data type.
2025-06-01T21:26:38.2812360Z     
2025-06-01T21:26:38.2812400Z     
2025-06-01T21:26:38.2812440Z         Attributes:
2025-06-01T21:26:38.2812570Z             weight (Tensor):     packed tensor derived from the learnable weight
2025-06-01T21:26:38.2812630Z                                  parameter.
2025-06-01T21:26:38.2812710Z             scale (Tensor):      scalar for the output scale
2025-06-01T21:26:38.2812810Z             zero_point (Tensor): scalar for the output zero point
2025-06-01T21:26:38.2812850Z     
2025-06-01T21:26:38.2812940Z         See :class:`~torch.nn.Conv1d` for other attributes.
2025-06-01T21:26:38.2812980Z     
2025-06-01T21:26:38.2813020Z         Examples::
2025-06-01T21:26:38.2813060Z     
2025-06-01T21:26:38.2813150Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE)
2025-06-01T21:26:38.2813230Z             >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2)
2025-06-01T21:26:38.2813300Z             >>> input = torch.randn(20, 16, 100)
2025-06-01T21:26:38.2813360Z             >>> # quantize input to quint8
2025-06-01T21:26:38.2813410Z             >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2813550Z             >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0,
2025-06-01T21:26:38.2813630Z             ...                                     dtype=torch.quint8)
2025-06-01T21:26:38.2813680Z             >>> output = m(q_input)
2025-06-01T21:26:38.2813720Z     
2025-06-01T21:26:38.2813760Z         
2025-06-01T21:26:38.2813910Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2813970Z     
2025-06-01T21:26:38.2814020Z       warnings.warn(msg)
2025-06-01T21:26:38.2814060Z     
2025-06-01T21:26:38.2814160Z --- Parse Warning: 108 / 118 ---
2025-06-01T21:26:38.2814850Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LSTM in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=11.
2025-06-01T21:26:38.2815010Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2815090Z     A quantized long short-term memory (LSTM).
2025-06-01T21:26:38.2815150Z     
2025-06-01T21:26:38.2815320Z         For the description and the argument types, please, refer to :class:`~torch.nn.LSTM`
2025-06-01T21:26:38.2815360Z     
2025-06-01T21:26:38.2815400Z         Attributes:
2025-06-01T21:26:38.2815470Z             layers : instances of the `_LSTMLayer`
2025-06-01T21:26:38.2815510Z     
2025-06-01T21:26:38.2815550Z         .. note::
2025-06-01T21:26:38.2815680Z             To access the weights and biases, you need to access them per layer.
2025-06-01T21:26:38.2815780Z             See examples in :class:`~torch.ao.nn.quantizable.LSTM`
2025-06-01T21:26:38.2815820Z     
2025-06-01T21:26:38.2815860Z         Examples::
2025-06-01T21:26:38.2815920Z             >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2816000Z             >>> custom_module_config = {
2025-06-01T21:26:38.2816090Z             ...     'float_to_observed_custom_module_class': {
2025-06-01T21:26:38.2816170Z             ...         nn.LSTM: nn.quantizable.LSTM,
2025-06-01T21:26:38.2816210Z             ...     },
2025-06-01T21:26:38.2816300Z             ...     'observed_to_quantized_custom_module_class': {
2025-06-01T21:26:38.2816390Z             ...         nn.quantizable.LSTM: nn.quantized.LSTM,
2025-06-01T21:26:38.2816430Z             ...     }
2025-06-01T21:26:38.2816470Z             ... }
2025-06-01T21:26:38.2816600Z             >>> tq.prepare(model, prepare_custom_module_class=custom_module_config)
2025-06-01T21:26:38.2816730Z             >>> tq.convert(model, convert_custom_module_class=custom_module_config)
2025-06-01T21:26:38.2816770Z         
2025-06-01T21:26:38.2816920Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2816960Z     
2025-06-01T21:26:38.2817000Z       warnings.warn(msg)
2025-06-01T21:26:38.2817040Z     
2025-06-01T21:26:38.2817140Z --- Parse Warning: 109 / 118 ---
2025-06-01T21:26:38.2817920Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DTypeConfig in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181.
2025-06-01T21:26:38.2818070Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2818110Z     
2025-06-01T21:26:38.2818250Z     Config object that specifies the supported data types passed as arguments to
2025-06-01T21:26:38.2818400Z     quantize ops in the reference model spec, for input and output activations,
2025-06-01T21:26:38.2818440Z     weights, and biases.
2025-06-01T21:26:38.2818490Z     
2025-06-01T21:26:38.2818580Z     For example, consider the following reference model:
2025-06-01T21:26:38.2818620Z     
2025-06-01T21:26:38.2818710Z       quant1 - [dequant1 - fp32_linear - quant2] - dequant2
2025-06-01T21:26:38.2818750Z     
2025-06-01T21:26:38.2818880Z     The pattern in the square brackets refers to the reference pattern of
2025-06-01T21:26:38.2819020Z     statically quantized linear. Setting the input dtype as `torch.quint8`
2025-06-01T21:26:38.2819150Z     in the DTypeConfig means we pass in `torch.quint8` as the dtype argument
2025-06-01T21:26:38.2819290Z     to the first quantize op (quant1). Similarly, setting the output dtype as
2025-06-01T21:26:38.2819440Z     `torch.quint8` means we pass in `torch.quint8` as the dtype argument to
2025-06-01T21:26:38.2819500Z     the second quantize op (quant2).
2025-06-01T21:26:38.2819540Z     
2025-06-01T21:26:38.2819670Z     Note that the dtype here does not refer to the interface dtypes of the
2025-06-01T21:26:38.2819790Z     op. For example, the "input dtype" here is not the dtype of the input
2025-06-01T21:26:38.2819920Z     tensor passed to the quantized linear op. Though it can still be the
2025-06-01T21:26:38.2820040Z     same as the interface dtype, this is not always the case, e.g. the
2025-06-01T21:26:38.2820240Z     interface dtype is fp32 in dynamic quantization but the "input dtype"
2025-06-01T21:26:38.2820390Z     specified in the DTypeConfig would still be quint8. The semantics of
2025-06-01T21:26:38.2820510Z     dtypes here are the same as the semantics of the dtypes specified in
2025-06-01T21:26:38.2820560Z     the observers.
2025-06-01T21:26:38.2820600Z     
2025-06-01T21:26:38.2820720Z     These dtypes are matched against the ones specified in the user's
2025-06-01T21:26:38.2820850Z     QConfig. If there is a match, and the QConfig satisfies the constraints
2025-06-01T21:26:38.2820980Z     specified in the DTypeConfig (if any), then we will quantize the given
2025-06-01T21:26:38.2821110Z     pattern using this DTypeConfig. Otherwise, the QConfig is ignored and
2025-06-01T21:26:38.2821170Z     the pattern will not be quantized.
2025-06-01T21:26:38.2821210Z     
2025-06-01T21:26:38.2821270Z     Example usage::
2025-06-01T21:26:38.2821320Z     
2025-06-01T21:26:38.2821380Z         >>> # xdoctest: +SKIP(failing)
2025-06-01T21:26:38.2821440Z         >>> dtype_config1 = DTypeConfig(
2025-06-01T21:26:38.2821490Z         ...     input_dtype=torch.quint8,
2025-06-01T21:26:38.2821560Z         ...     output_dtype=torch.quint8,
2025-06-01T21:26:38.2821610Z         ...     weight_dtype=torch.qint8,
2025-06-01T21:26:38.2821670Z         ...     bias_dtype=torch.float)
2025-06-01T21:26:38.2821710Z     
2025-06-01T21:26:38.2821770Z         >>> dtype_config2 = DTypeConfig(
2025-06-01T21:26:38.2821840Z         ...     input_dtype=DTypeWithConstraints(
2025-06-01T21:26:38.2821900Z         ...         dtype=torch.quint8,
2025-06-01T21:26:38.2821950Z         ...         quant_min_lower_bound=0,
2025-06-01T21:26:38.2822020Z         ...         quant_max_upper_bound=255,
2025-06-01T21:26:38.2822060Z         ...     ),
2025-06-01T21:26:38.2822130Z         ...     output_dtype=DTypeWithConstraints(
2025-06-01T21:26:38.2822190Z         ...         dtype=torch.quint8,
2025-06-01T21:26:38.2822250Z         ...         quant_min_lower_bound=0,
2025-06-01T21:26:38.2822310Z         ...         quant_max_upper_bound=255,
2025-06-01T21:26:38.2822350Z         ...     ),
2025-06-01T21:26:38.2822430Z         ...     weight_dtype=DTypeWithConstraints(
2025-06-01T21:26:38.2822480Z         ...         dtype=torch.qint8,
2025-06-01T21:26:38.2822540Z         ...         quant_min_lower_bound=-128,
2025-06-01T21:26:38.2822610Z         ...         quant_max_upper_bound=127,
2025-06-01T21:26:38.2822650Z         ...     ),
2025-06-01T21:26:38.2822700Z         ...     bias_dtype=torch.float)
2025-06-01T21:26:38.2822740Z     
2025-06-01T21:26:38.2822800Z         >>> dtype_config1.input_dtype
2025-06-01T21:26:38.2822840Z         torch.quint8
2025-06-01T21:26:38.2822880Z     
2025-06-01T21:26:38.2822940Z         >>> dtype_config2.input_dtype
2025-06-01T21:26:38.2822980Z         torch.quint8
2025-06-01T21:26:38.2823020Z     
2025-06-01T21:26:38.2823100Z         >>> dtype_config2.input_dtype_with_constraints
2025-06-01T21:26:38.2823420Z         DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None)
2025-06-01T21:26:38.2823460Z     
2025-06-01T21:26:38.2823610Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2823650Z     
2025-06-01T21:26:38.2826430Z       warnings.warn(msg)
2025-06-01T21:26:38.2826530Z     
2025-06-01T21:26:38.2826650Z --- Parse Warning: 110 / 118 ---
2025-06-01T21:26:38.2827540Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301.
2025-06-01T21:26:38.2827700Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2827770Z     
2025-06-01T21:26:38.2827980Z     Takes in optional filter values and generates two tables with desired information.
2025-06-01T21:26:38.2828020Z     
2025-06-01T21:26:38.2828150Z     The generated tables are presented in both a list-of-lists format
2025-06-01T21:26:38.2828180Z     
2025-06-01T21:26:38.2828310Z     The reason for the two tables are that they handle different things:
2025-06-01T21:26:38.2828400Z     1.) the first table handles all tensor level information
2025-06-01T21:26:38.2828530Z     2.) the second table handles and displays all channel based information
2025-06-01T21:26:38.2828570Z     
2025-06-01T21:26:38.2828760Z     The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-06-01T21:26:38.2829000Z         statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-06-01T21:26:38.2829210Z         tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-06-01T21:26:38.2829250Z     
2025-06-01T21:26:38.2829300Z     Tensor table columns:
2025-06-01T21:26:38.2829420Z         idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-06-01T21:26:38.2829520Z         ----  ---------  ---------   ---------   ---------        ---------
2025-06-01T21:26:38.2829560Z     
2025-06-01T21:26:38.2829610Z     Per-Channel table columns:
2025-06-01T21:26:38.2829750Z         idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-06-01T21:26:38.2829850Z         ----  ---------  -------  ---------   ---------   ---------        ---------
2025-06-01T21:26:38.2829890Z     
2025-06-01T21:26:38.2829930Z     Args:
2025-06-01T21:26:38.2830090Z         feature_filter (str, optional): Filters the features presented to only those that
2025-06-01T21:26:38.2830150Z             contain this filter substring
2025-06-01T21:26:38.2830250Z             Default = "", results in all the features being printed
2025-06-01T21:26:38.2830400Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-06-01T21:26:38.2830550Z             Default = "", results in all the modules in the reports to be visible in the table
2025-06-01T21:26:38.2830590Z     
2025-06-01T21:26:38.2830650Z     Returns a dictionary with two keys:
2025-06-01T21:26:38.2830760Z         (Dict[str, Tuple[List, List]]) A dict containing two keys:
2025-06-01T21:26:38.2830830Z         "tensor_level_info", "channel_level_info"
2025-06-01T21:26:38.2830890Z             Each key maps to a tuple with:
2025-06-01T21:26:38.2830960Z                 A list of the headers of each table
2025-06-01T21:26:38.2831070Z                 A list of lists containing the table information row by row
2025-06-01T21:26:38.2831170Z                 The 0th index row will contain the headers of the columns
2025-06-01T21:26:38.2831250Z                 The rest of the rows will contain data
2025-06-01T21:26:38.2831290Z     
2025-06-01T21:26:38.2831330Z     Example Use:
2025-06-01T21:26:38.2831410Z         >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2831490Z         >>> mod_report_visualizer.generate_filtered_tables(
2025-06-01T21:26:38.2831570Z         ...     feature_filter = "per_channel_min",
2025-06-01T21:26:38.2831630Z         ...     module_fqn_filter = "block1"
2025-06-01T21:26:38.2831790Z         ... ) # generates table with per_channel_min info for all modules in block 1 of the model
2025-06-01T21:26:38.2831890Z     
2025-06-01T21:26:38.2832040Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2832080Z     
2025-06-01T21:26:38.2832120Z       warnings.warn(msg)
2025-06-01T21:26:38.2832160Z     
2025-06-01T21:26:38.2832260Z --- Parse Warning: 111 / 118 ---
2025-06-01T21:26:38.2833190Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=400.
2025-06-01T21:26:38.2833360Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2833400Z     
2025-06-01T21:26:38.2833560Z     Takes in optional filter values and prints out formatted tables of the information.
2025-06-01T21:26:38.2833600Z     
2025-06-01T21:26:38.2833800Z     The reason for the two tables printed out instead of one large one are that they handle different things:
2025-06-01T21:26:38.2833900Z     1.) the first table handles all tensor level information
2025-06-01T21:26:38.2834030Z     2.) the second table handles and displays all channel based information
2025-06-01T21:26:38.2834070Z     
2025-06-01T21:26:38.2834270Z     The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-06-01T21:26:38.2834470Z         statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-06-01T21:26:38.2834670Z         tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-06-01T21:26:38.2834720Z     
2025-06-01T21:26:38.2834770Z     Tensor table columns:
2025-06-01T21:26:38.2834880Z      idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-06-01T21:26:38.2834980Z     ----  ---------  ---------   ---------   ---------        ---------
2025-06-01T21:26:38.2835010Z     
2025-06-01T21:26:38.2835070Z     Per-Channel table columns:
2025-06-01T21:26:38.2835110Z     
2025-06-01T21:26:38.2835240Z      idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-06-01T21:26:38.2835340Z     ----  ---------  -------  ---------   ---------   ---------        ---------
2025-06-01T21:26:38.2835380Z     
2025-06-01T21:26:38.2835420Z     Args:
2025-06-01T21:26:38.2835580Z         feature_filter (str, optional): Filters the features presented to only those that
2025-06-01T21:26:38.2835640Z             contain this filter substring
2025-06-01T21:26:38.2835740Z             Default = "", results in all the features being printed
2025-06-01T21:26:38.2835890Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-06-01T21:26:38.2836040Z             Default = "", results in all the modules in the reports to be visible in the table
2025-06-01T21:26:38.2836080Z     
2025-06-01T21:26:38.2836120Z     Example Use:
2025-06-01T21:26:38.2836200Z         >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2836300Z         >>> mod_report_visualizer.generate_table_visualization(
2025-06-01T21:26:38.2836370Z         ...     feature_filter = "per_channel_min",
2025-06-01T21:26:38.2836430Z         ...     module_fqn_filter = "block1"
2025-06-01T21:26:38.2836470Z         ... )
2025-06-01T21:26:38.2836580Z         >>> # prints out neatly formatted table with per_channel_min info
2025-06-01T21:26:38.2836660Z         >>> # for all modules in block 1 of the model
2025-06-01T21:26:38.2836700Z     
2025-06-01T21:26:38.2836850Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2836880Z     
2025-06-01T21:26:38.2836930Z       warnings.warn(msg)
2025-06-01T21:26:38.2836970Z     
2025-06-01T21:26:38.2837120Z --- Parse Warning: 112 / 118 ---
2025-06-01T21:26:38.2838020Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=566.
2025-06-01T21:26:38.2838170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2838210Z     
2025-06-01T21:26:38.2838370Z     Takes in a feature and optional module_filter and plots of the desired data.
2025-06-01T21:26:38.2838420Z     
2025-06-01T21:26:38.2838580Z     For per channel features, it averages the value across the channels and plots a point
2025-06-01T21:26:38.2838740Z     per module. The reason for this is that for models with hundreds of channels, it can
2025-06-01T21:26:38.2838900Z     be hard to differentiate one channel line from another, and so the point of generating
2025-06-01T21:26:38.2839050Z     a single average point per module is to give a sense of general trends that encourage
2025-06-01T21:26:38.2839100Z     further deep dives.
2025-06-01T21:26:38.2839140Z     
2025-06-01T21:26:38.2839180Z     Note:
2025-06-01T21:26:38.2839340Z         Only features in the report that have tensor value data are plottable by this class
2025-06-01T21:26:38.2839460Z         When the tensor information is plotted, it will plot:
2025-06-01T21:26:38.2839550Z             idx as the x val, feature value as the y_val
2025-06-01T21:26:38.2839650Z         When the channel information is plotted, it will plot:
2025-06-01T21:26:38.2839810Z             the first idx of each module as the x val, feature value as the y_val [for each channel]
2025-06-01T21:26:38.2839950Z             The reason for this is that we want to be able to compare values across the
2025-06-01T21:26:38.2840090Z             channels for same layer, and it will be hard if values are staggered by idx
2025-06-01T21:26:38.2840190Z             This means each module is represented by only 1 x value
2025-06-01T21:26:38.2840230Z     Args:
2025-06-01T21:26:38.2840370Z         feature_filter (str): Filters the features presented to only those that
2025-06-01T21:26:38.2840430Z             contain this filter substring
2025-06-01T21:26:38.2840580Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-06-01T21:26:38.2840730Z             Default = "", results in all the modules in the reports to be visible in the table
2025-06-01T21:26:38.2840770Z     
2025-06-01T21:26:38.2840810Z     Example Use:
2025-06-01T21:26:38.2840890Z         >>> # xdoctest: +SKIP("undefined variables")
2025-06-01T21:26:38.2840980Z         >>> mod_report_visualizer.generate_plot_visualization(
2025-06-01T21:26:38.2841050Z         ...     feature_filter = "per_channel_min",
2025-06-01T21:26:38.2841120Z         ...     module_fqn_filter = "block1"
2025-06-01T21:26:38.2841160Z         ... )
2025-06-01T21:26:38.2841270Z         >>> # outputs line plot of per_channel_min information for all
2025-06-01T21:26:38.2841380Z         >>> # modules in block1 of model each channel gets it's own line,
2025-06-01T21:26:38.2841480Z         >>> # and it's plotted across the in-order modules on the x-axis
2025-06-01T21:26:38.2841520Z     
2025-06-01T21:26:38.2841660Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2841710Z     
2025-06-01T21:26:38.2841750Z       warnings.warn(msg)
2025-06-01T21:26:38.2841790Z     
2025-06-01T21:26:38.2841890Z --- Parse Warning: 113 / 118 ---
2025-06-01T21:26:38.2842800Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=646.
2025-06-01T21:26:38.2842980Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2843020Z     
2025-06-01T21:26:38.2843190Z     Takes in a feature and optional module_filter and plots the histogram of desired data.
2025-06-01T21:26:38.2843220Z     
2025-06-01T21:26:38.2843260Z     Note:
2025-06-01T21:26:38.2843420Z         Only features in the report that have tensor value data can be viewed as a histogram
2025-06-01T21:26:38.2843610Z         If you want to plot a histogram from all the channel values of a specific feature for
2025-06-01T21:26:38.2843780Z             a specific model, make sure to specify both the model and the feature properly
2025-06-01T21:26:38.2843930Z             in the filters and you should be able to see a distribution of the channel data
2025-06-01T21:26:38.2843960Z     
2025-06-01T21:26:38.2844000Z     Args:
2025-06-01T21:26:38.2844160Z         feature_filter (str, optional): Filters the features presented to only those that
2025-06-01T21:26:38.2844220Z             contain this filter substring
2025-06-01T21:26:38.2844320Z             Default = "", results in all the features being printed
2025-06-01T21:26:38.2844470Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-06-01T21:26:38.2844620Z             Default = "", results in all the modules in the reports to be visible in the table
2025-06-01T21:26:38.2844770Z         num_bins (int, optional): The number of bins to create the histogram with
2025-06-01T21:26:38.2844890Z             Default = 10, the values will be split into 10 equal sized bins
2025-06-01T21:26:38.2844930Z     
2025-06-01T21:26:38.2844980Z     Example Use:
2025-06-01T21:26:38.2845030Z         >>> # xdoctest: +SKIP
2025-06-01T21:26:38.2845200Z         >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization(
2025-06-01T21:26:38.2845280Z         ...     feature_filter = "per_channel_min",
2025-06-01T21:26:38.2845340Z         ...     module_fqn_filter = "block1"
2025-06-01T21:26:38.2845380Z         ... )
2025-06-01T21:26:38.2845540Z         # outputs histogram of per_channel_min information for all modules in block1 of model
2025-06-01T21:26:38.2845690Z             information is gathered across all channels for all modules in block 1 for the
2025-06-01T21:26:38.2845820Z             per_channel_min and is displayed in a histogram of equally sized bins
2025-06-01T21:26:38.2845860Z     
2025-06-01T21:26:38.2846010Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2846050Z     
2025-06-01T21:26:38.2846100Z       warnings.warn(msg)
2025-06-01T21:26:38.2846140Z     
2025-06-01T21:26:38.2846240Z --- Parse Warning: 114 / 118 ---
2025-06-01T21:26:38.2847020Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=227.
2025-06-01T21:26:38.2847180Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2847280Z     Squashes the sparse masks into the appropriate tensors.
2025-06-01T21:26:38.2847320Z     
2025-06-01T21:26:38.2847440Z             If either the `params_to_keep` or `params_to_keep_per_layer` is set,
2025-06-01T21:26:38.2847560Z             the module will have a `sparse_params` dict attached to it.
2025-06-01T21:26:38.2847600Z     
2025-06-01T21:26:38.2847640Z             Args:
2025-06-01T21:26:38.2847750Z                 params_to_keep: List of keys to save in the module or a dict
2025-06-01T21:26:38.2847850Z                                 representing the modules and keys that will have
2025-06-01T21:26:38.2847920Z                                 sparsity parameters saved
2025-06-01T21:26:38.2848080Z                 params_to_keep_per_layer: Dict to specify the params that should be
2025-06-01T21:26:38.2848170Z                                 saved for specific layers. The keys in the dict
2025-06-01T21:26:38.2848270Z                                 should be the module fqn, while the values should
2025-06-01T21:26:38.2848370Z                                 be a list of strings with the names of the variables
2025-06-01T21:26:38.2848450Z                                 to save in the `sparse_params`
2025-06-01T21:26:38.2848480Z     
2025-06-01T21:26:38.2848530Z             Examples:
2025-06-01T21:26:38.2848630Z                 >>> # xdoctest: +SKIP("locals are undefined")
2025-06-01T21:26:38.2848720Z                 >>> # Don't save any sparse params
2025-06-01T21:26:38.2848780Z                 >>> sparsifier.squash_mask()
2025-06-01T21:26:38.2848860Z                 >>> hasattr(model.submodule1, 'sparse_params')
2025-06-01T21:26:38.2848910Z                 False
2025-06-01T21:26:38.2848950Z     
2025-06-01T21:26:38.2849010Z                 >>> # Keep sparse params per layer
2025-06-01T21:26:38.2849080Z                 >>> sparsifier.squash_mask(
2025-06-01T21:26:38.2849140Z                 ...     params_to_keep_per_layer={
2025-06-01T21:26:38.2849220Z                 ...         'submodule1.linear1': ('foo', 'bar'),
2025-06-01T21:26:38.2849300Z                 ...         'submodule2.linear42': ('baz',)
2025-06-01T21:26:38.2849340Z                 ...     })
2025-06-01T21:26:38.2849460Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-06-01T21:26:38.2849520Z                 {'foo': 42, 'bar': 24}
2025-06-01T21:26:38.2849620Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-06-01T21:26:38.2849670Z                 {'baz': 0.1}
2025-06-01T21:26:38.2849700Z     
2025-06-01T21:26:38.2849780Z                 >>> # Keep sparse params for all layers
2025-06-01T21:26:38.2849890Z                 >>> sparsifier.squash_mask(params_to_keep=('foo', 'bar'))
2025-06-01T21:26:38.2849980Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-06-01T21:26:38.2850040Z                 {'foo': 42, 'bar': 24}
2025-06-01T21:26:38.2850130Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-06-01T21:26:38.2850180Z                 {'foo': 42, 'bar': 24}
2025-06-01T21:26:38.2850220Z     
2025-06-01T21:26:38.2850340Z                 >>> # Keep some sparse params for all layers, and specific ones for
2025-06-01T21:26:38.2850390Z                 >>> # some other layers
2025-06-01T21:26:38.2850460Z                 >>> sparsifier.squash_mask(
2025-06-01T21:26:38.2850530Z                 ...     params_to_keep=('foo', 'bar'),
2025-06-01T21:26:38.2850600Z                 ...     params_to_keep_per_layer={
2025-06-01T21:26:38.2850670Z                 ...         'submodule2.linear42': ('baz',)
2025-06-01T21:26:38.2850720Z                 ...     })
2025-06-01T21:26:38.2850810Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-06-01T21:26:38.2850870Z                 {'foo': 42, 'bar': 24}
2025-06-01T21:26:38.2850960Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-06-01T21:26:38.2851030Z                 {'foo': 42, 'bar': 24, 'baz': 0.1}
2025-06-01T21:26:38.2851070Z             
2025-06-01T21:26:38.2851210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2851250Z     
2025-06-01T21:26:38.2851300Z       warnings.warn(msg)
2025-06-01T21:26:38.2851340Z     
2025-06-01T21:26:38.2851450Z --- Parse Warning: 115 / 118 ---
2025-06-01T21:26:38.2852200Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedBernoulli in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=120.
2025-06-01T21:26:38.2852360Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2852430Z     
2025-06-01T21:26:38.2852550Z     Creates a RelaxedBernoulli distribution, parametrized by
2025-06-01T21:26:38.2852660Z     :attr:`temperature`, and either :attr:`probs` or :attr:`logits`
2025-06-01T21:26:38.2852800Z     (but not both). This is a relaxed version of the `Bernoulli` distribution,
2025-06-01T21:26:38.2852910Z     so the values are in (0, 1), and has reparametrizable samples.
2025-06-01T21:26:38.2852950Z     
2025-06-01T21:26:38.2853000Z     Example::
2025-06-01T21:26:38.2853040Z     
2025-06-01T21:26:38.2853150Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-06-01T21:26:38.2853250Z         >>> m = RelaxedBernoulli(torch.tensor([2.2]),
2025-06-01T21:26:38.2853330Z         ...                      torch.tensor([0.1, 0.2, 0.3, 0.99]))
2025-06-01T21:26:38.2853380Z         >>> m.sample()
2025-06-01T21:26:38.2853450Z         tensor([ 0.2951,  0.3442,  0.8918,  0.9021])
2025-06-01T21:26:38.2853490Z     
2025-06-01T21:26:38.2853530Z     Args:
2025-06-01T21:26:38.2853610Z         temperature (Tensor): relaxation temperature
2025-06-01T21:26:38.2853720Z         probs (Number, Tensor): the probability of sampling `1`
2025-06-01T21:26:38.2853810Z         logits (Number, Tensor): the log-odds of sampling `1`
2025-06-01T21:26:38.2853850Z     
2025-06-01T21:26:38.2854000Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2854040Z     
2025-06-01T21:26:38.2854110Z       warnings.warn(msg)
2025-06-01T21:26:38.2854150Z     
2025-06-01T21:26:38.2854250Z --- Parse Warning: 116 / 118 ---
2025-06-01T21:26:38.2855040Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedOneHotCategorical in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=109.
2025-06-01T21:26:38.2855190Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2855230Z     
2025-06-01T21:26:38.2855360Z     Creates a RelaxedOneHotCategorical distribution parametrized by
2025-06-01T21:26:38.2855480Z     :attr:`temperature`, and either :attr:`probs` or :attr:`logits`.
2025-06-01T21:26:38.2855620Z     This is a relaxed version of the :class:`OneHotCategorical` distribution, so
2025-06-01T21:26:38.2855720Z     its samples are on simplex, and are reparametrizable.
2025-06-01T21:26:38.2855760Z     
2025-06-01T21:26:38.2855800Z     Example::
2025-06-01T21:26:38.2855840Z     
2025-06-01T21:26:38.2855930Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-06-01T21:26:38.2856020Z         >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]),
2025-06-01T21:26:38.2856110Z         ...                              torch.tensor([0.1, 0.2, 0.3, 0.4]))
2025-06-01T21:26:38.2856150Z         >>> m.sample()
2025-06-01T21:26:38.2856220Z         tensor([ 0.1294,  0.2324,  0.3859,  0.2523])
2025-06-01T21:26:38.2856260Z     
2025-06-01T21:26:38.2856300Z     Args:
2025-06-01T21:26:38.2856390Z         temperature (Tensor): relaxation temperature
2025-06-01T21:26:38.2856450Z         probs (Tensor): event probabilities
2025-06-01T21:26:38.2856560Z         logits (Tensor): unnormalized log probability for each event
2025-06-01T21:26:38.2856600Z     
2025-06-01T21:26:38.2856750Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2856790Z     
2025-06-01T21:26:38.2856840Z       warnings.warn(msg)
2025-06-01T21:26:38.2856880Z     
2025-06-01T21:26:38.2856980Z --- Parse Warning: 117 / 118 ---
2025-06-01T21:26:38.2857780Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LowRankMultivariateNormal in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56.
2025-06-01T21:26:38.2857990Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2858030Z     
2025-06-01T21:26:38.2858210Z     Creates a multivariate normal distribution with covariance matrix having a low-rank form
2025-06-01T21:26:38.2858320Z     parameterized by :attr:`cov_factor` and :attr:`cov_diag`::
2025-06-01T21:26:38.2858360Z     
2025-06-01T21:26:38.2858470Z         covariance_matrix = cov_factor @ cov_factor.T + cov_diag
2025-06-01T21:26:38.2858510Z     
2025-06-01T21:26:38.2858550Z     Example:
2025-06-01T21:26:38.2858650Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-06-01T21:26:38.2858750Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-06-01T21:26:38.2858820Z         >>> m = LowRankMultivariateNormal(
2025-06-01T21:26:38.2858940Z         ...     torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2)
2025-06-01T21:26:38.2858980Z         ... )
2025-06-01T21:26:38.2859150Z         >>> m.sample()  # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]`
2025-06-01T21:26:38.2859210Z         tensor([-0.2102, -0.5429])
2025-06-01T21:26:38.2859250Z     
2025-06-01T21:26:38.2859290Z     Args:
2025-06-01T21:26:38.2859430Z         loc (Tensor): mean of the distribution with shape `batch_shape + event_shape`
2025-06-01T21:26:38.2859580Z         cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape
2025-06-01T21:26:38.2859680Z             `batch_shape + event_shape + (rank,)`
2025-06-01T21:26:38.2859840Z         cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape
2025-06-01T21:26:38.2859900Z             `batch_shape + event_shape`
2025-06-01T21:26:38.2859940Z     
2025-06-01T21:26:38.2859980Z     Note:
2025-06-01T21:26:38.2860130Z         The computation for determinant and inverse of covariance matrix is avoided when
2025-06-01T21:26:38.2860280Z         `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity
2025-06-01T21:26:38.2860410Z         <https://en.wikipedia.org/wiki/Woodbury_matrix_identity>`_ and
2025-06-01T21:26:38.2860590Z         `matrix determinant lemma <https://en.wikipedia.org/wiki/Matrix_determinant_lemma>`_.
2025-06-01T21:26:38.2860740Z         Thanks to these formulas, we just need to compute the determinant and inverse of
2025-06-01T21:26:38.2860810Z         the small size "capacitance" matrix::
2025-06-01T21:26:38.2860850Z     
2025-06-01T21:26:38.2860970Z             capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor
2025-06-01T21:26:38.2861000Z     
2025-06-01T21:26:38.2861160Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2861200Z     
2025-06-01T21:26:38.2861250Z       warnings.warn(msg)
2025-06-01T21:26:38.2861290Z     
2025-06-01T21:26:38.2861390Z --- Parse Warning: 118 / 118 ---
2025-06-01T21:26:38.2862140Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixtureSameFamily in modpath=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=15.
2025-06-01T21:26:38.2862300Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-06-01T21:26:38.2862340Z     
2025-06-01T21:26:38.2862480Z     The `MixtureSameFamily` distribution implements a (batch of) mixture
2025-06-01T21:26:38.2862620Z     distribution where all component are from different parameterizations of
2025-06-01T21:26:38.2862750Z     the same distribution type. It is parameterized by a `Categorical`
2025-06-01T21:26:38.2862870Z     "selecting distribution" (over `k` component) and a component
2025-06-01T21:26:38.2862990Z     distribution, i.e., a `Distribution` with a rightmost batch shape
2025-06-01T21:26:38.2863080Z     (equal to `[k]`) which indexes each (batch of) component.
2025-06-01T21:26:38.2863150Z     
2025-06-01T21:26:38.2863200Z     Examples::
2025-06-01T21:26:38.2863240Z     
2025-06-01T21:26:38.2863310Z         >>> # xdoctest: +SKIP("undefined vars")
2025-06-01T21:26:38.2863430Z         >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally
2025-06-01T21:26:38.2863500Z         >>> # weighted normal distributions
2025-06-01T21:26:38.2863570Z         >>> mix = D.Categorical(torch.ones(5,))
2025-06-01T21:26:38.2863660Z         >>> comp = D.Normal(torch.randn(5,), torch.rand(5,))
2025-06-01T21:26:38.2863720Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-06-01T21:26:38.2863770Z     
2025-06-01T21:26:38.2863920Z         >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally
2025-06-01T21:26:38.2864020Z         >>> # weighted bivariate normal distributions
2025-06-01T21:26:38.2864090Z         >>> mix = D.Categorical(torch.ones(5,))
2025-06-01T21:26:38.2864150Z         >>> comp = D.Independent(D.Normal(
2025-06-01T21:26:38.2864230Z         ...          torch.randn(5,2), torch.rand(5,2)), 1)
2025-06-01T21:26:38.2864300Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-06-01T21:26:38.2864340Z     
2025-06-01T21:26:38.2864450Z         >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each
2025-06-01T21:26:38.2864570Z         >>> # consisting of 5 random weighted bivariate normal distributions
2025-06-01T21:26:38.2864640Z         >>> mix = D.Categorical(torch.rand(3,5))
2025-06-01T21:26:38.2864700Z         >>> comp = D.Independent(D.Normal(
2025-06-01T21:26:38.2864800Z         ...         torch.randn(3,5,2), torch.rand(3,5,2)), 1)
2025-06-01T21:26:38.2864880Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-06-01T21:26:38.2864920Z     
2025-06-01T21:26:38.2864960Z     Args:
2025-06-01T21:26:38.2865080Z         mixture_distribution: `torch.distributions.Categorical`-like
2025-06-01T21:26:38.2865190Z             instance. Manages the probability of selecting component.
2025-06-01T21:26:38.2865300Z             The number of categories must match the rightmost batch
2025-06-01T21:26:38.2865410Z             dimension of the `component_distribution`. Must have either
2025-06-01T21:26:38.2865500Z             scalar `batch_shape` or `batch_shape` matching
2025-06-01T21:26:38.2865580Z             `component_distribution.batch_shape[:-1]`
2025-06-01T21:26:38.2865710Z         component_distribution: `torch.distributions.Distribution`-like
2025-06-01T21:26:38.2865820Z             instance. Right-most batch dimension indexes component.
2025-06-01T21:26:38.2865860Z     
2025-06-01T21:26:38.2866010Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-06-01T21:26:38.2866050Z     
2025-06-01T21:26:38.2866100Z       warnings.warn(msg)
2025-06-01T21:26:38.2866140Z     
2025-06-01T21:26:38.2866200Z 
2025-06-01T21:26:38.2866300Z === Found 9 run-time warnings ===
2025-06-01T21:26:38.2866390Z --- Runtime Warning: 1 / 9 ---
2025-06-01T21:26:38.2866570Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 258) at 0x1298c2900>
2025-06-01T21:26:38.2867020Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/library.py:296: UserWarning: Warning only once for all operators,  other operators may also be overridden.
2025-06-01T21:26:38.2867210Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-06-01T21:26:38.2867330Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-06-01T21:26:38.2867550Z         registered at /Users/ec2-user/runner/_work/pytorch/pytorch/build/aten/src/ATen/RegisterSchema.cpp:6
2025-06-01T21:26:38.2867600Z       dispatch key: CPU
2025-06-01T21:26:38.2867890Z       previous kernel: registered at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-06-01T21:26:38.2868240Z            new kernel: registered at /dev/null:811 (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/core/dispatch/OperatorEntry.cpp:224.)
2025-06-01T21:26:38.2868360Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-06-01T21:26:38.2868400Z     
2025-06-01T21:26:38.2868500Z --- Runtime Warning: 2 / 9 ---
2025-06-01T21:26:38.2868650Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1349) at 0x12f8e1b50>
2025-06-01T21:26:38.2869560Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/_tensor.py:1367: 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 /Users/ec2-user/runner/_work/pytorch/pytorch/c10/core/TensorImpl.h:1942.)
2025-06-01T21:26:38.2869650Z       return super().refine_names(names)
2025-06-01T21:26:38.2869690Z     
2025-06-01T21:26:38.2869780Z --- Runtime Warning: 3 / 9 ---
2025-06-01T21:26:38.2869930Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x12f845070>
2025-06-01T21:26:38.2870990Z     <doctest:/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0>: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 /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/SparseCsrTensorImpl.cpp:55.)
2025-06-01T21:26:38.2871040Z     
2025-06-01T21:26:38.2871130Z --- Runtime Warning: 4 / 9 ---
2025-06-01T21:26:38.2871270Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x12f847c50>
2025-06-01T21:26:38.2872430Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/NestedTensorImpl.cpp:182.)
2025-06-01T21:26:38.2872580Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-06-01T21:26:38.2872620Z     
2025-06-01T21:26:38.2872720Z --- Runtime Warning: 5 / 9 ---
2025-06-01T21:26:38.2872890Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1705) at 0x12f847710>
2025-06-01T21:26:38.2873830Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/fx/experimental/const_fold.py:271: 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
2025-06-01T21:26:38.2873930Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-06-01T21:26:38.2873970Z     
2025-06-01T21:26:38.2874060Z --- Runtime Warning: 6 / 9 ---
2025-06-01T21:26:38.2874220Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 133) at 0x12f896750>
2025-06-01T21:26:38.2874780Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:143: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-06-01T21:26:38.2874850Z       WeightNorm.apply(module, name, dim)
2025-06-01T21:26:38.2874890Z     
2025-06-01T21:26:38.2874990Z --- Runtime Warning: 7 / 9 ---
2025-06-01T21:26:38.2875160Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 155) at 0x12f895d00>
2025-06-01T21:26:38.2875710Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:143: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-06-01T21:26:38.2875810Z       WeightNorm.apply(module, name, dim)
2025-06-01T21:26:38.2875850Z     
2025-06-01T21:26:38.2875950Z --- Runtime Warning: 8 / 9 ---
2025-06-01T21:26:38.2876110Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 88) at 0x12f87fdd0>
2025-06-01T21:26:38.2876840Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py:386: 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)
2025-06-01T21:26:38.2876910Z       warnings.warn(
2025-06-01T21:26:38.2876950Z     
2025-06-01T21:26:38.2877040Z --- Runtime Warning: 9 / 9 ---
2025-06-01T21:26:38.2877230Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 330) at 0x12f87cf80>
2025-06-01T21:26:38.2877930Z     /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/nn/modules/transformer.py:386: 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)
2025-06-01T21:26:38.2877980Z       warnings.warn(
2025-06-01T21:26:38.2878040Z     
2025-06-01T21:26:38.2878220Z === 348 passed, 379 skipped, 127 warnings in 10.38 seconds ===
2025-06-01T21:26:39.6028430Z running install
2025-06-01T21:26:39.6044140Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-06-01T21:26:39.6044740Z !!
2025-06-01T21:26:39.6044810Z 
2025-06-01T21:26:39.6044900Z         ********************************************************************************
2025-06-01T21:26:39.6045150Z         Please avoid running ``setup.py`` directly.
2025-06-01T21:26:39.6045400Z         Instead, use pypa/build, pypa/installer or other
2025-06-01T21:26:39.6045630Z         standards-based tools.
2025-06-01T21:26:39.6045750Z 
2025-06-01T21:26:39.6045940Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-06-01T21:26:39.6046280Z         ********************************************************************************
2025-06-01T21:26:39.6046430Z 
2025-06-01T21:26:39.6046480Z !!
2025-06-01T21:26:39.6046590Z   self.initialize_options()
2025-06-01T21:26:39.6121700Z running build
2025-06-01T21:26:39.6121970Z running build_py
2025-06-01T21:26:39.6165900Z creating build
2025-06-01T21:26:39.6167290Z creating build/lib.macosx-11.1-arm64-cpython-312
2025-06-01T21:26:39.6168040Z creating build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension
2025-06-01T21:26:39.6168770Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension
2025-06-01T21:26:39.6177680Z running build_ext
2025-06-01T21:26:39.7322940Z building 'torch_test_cpp_extension.cpp' extension
2025-06-01T21:26:39.7323280Z creating build/temp.macosx-11.1-arm64-cpython-312
2025-06-01T21:26:39.7326860Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c extension.cpp -o build/temp.macosx-11.1-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-06-01T21:26:46.2603570Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib build/temp.macosx-11.1-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-06-01T21:26:46.2776370Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:26:46.3040040Z building 'torch_test_cpp_extension.maia' extension
2025-06-01T21:26:46.3043300Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c maia_extension.cpp -o build/temp.macosx-11.1-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-06-01T21:26:52.6678810Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib build/temp.macosx-11.1-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-06-01T21:26:52.6853620Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:26:52.7125710Z building 'torch_test_cpp_extension.rng' extension
2025-06-01T21:26:52.7128650Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c rng_extension.cpp -o build/temp.macosx-11.1-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-06-01T21:26:59.6043690Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib build/temp.macosx-11.1-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-06-01T21:26:59.6217490Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:26:59.6484940Z building 'torch_test_cpp_extension.mps' extension
2025-06-01T21:26:59.6487830Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c mps_extension.mm -o build/temp.macosx-11.1-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-06-01T21:27:03.2678660Z In file included from mps_extension.mm:2:
2025-06-01T21:27:03.2679270Z In file included from /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:9:
2025-06-01T21:27:03.2680340Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-06-01T21:27:03.2681190Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-06-01T21:27:03.2681440Z   ^
2025-06-01T21:27:03.2682220Z /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-06-01T21:27:03.2683140Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-06-01T21:27:03.2683410Z            ^
2025-06-01T21:27:03.2683990Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-06-01T21:27:03.2684600Z class TORCH_API MPSStream {
2025-06-01T21:27:03.2684750Z                 ^
2025-06-01T21:27:03.2684890Z       API_AVAILABLE(macos(12.0))
2025-06-01T21:27:06.0081890Z 1 warning generated.
2025-06-01T21:27:06.0184750Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib build/temp.macosx-11.1-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-06-01T21:27:06.0358790Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:27:06.0620640Z running install_lib
2025-06-01T21:27:06.0672820Z creating install
2025-06-01T21:27:06.0673240Z creating install/Users
2025-06-01T21:27:06.0673880Z creating install/Users/ec2-user
2025-06-01T21:27:06.0674370Z creating install/Users/ec2-user/runner
2025-06-01T21:27:06.0675030Z creating install/Users/ec2-user/runner/_work
2025-06-01T21:27:06.0675580Z creating install/Users/ec2-user/runner/_work/_temp
2025-06-01T21:27:06.0676210Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:27:06.0676730Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib
2025-06-01T21:27:06.0677360Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12
2025-06-01T21:27:06.0677940Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages
2025-06-01T21:27:06.0678890Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:27:06.0679850Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:27:06.0683910Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:27:06.0685940Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/__init__.py -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:27:06.0687300Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:27:06.0690340Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:27:06.0704230Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-312.pyc
2025-06-01T21:27:06.0707250Z running install_egg_info
2025-06-01T21:27:06.0868690Z running egg_info
2025-06-01T21:27:06.0869010Z creating torch_test_cpp_extension.egg-info
2025-06-01T21:27:06.0896630Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-06-01T21:27:06.0900050Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-06-01T21:27:06.0901250Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-06-01T21:27:06.0902750Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-06-01T21:27:06.0903770Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-06-01T21:27:06.0933690Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-06-01T21:27:06.0936950Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-06-01T21:27:06.0938000Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-06-01T21:27:06.0947540Z running install_scripts
2025-06-01T21:27:07.8179470Z 
2025-06-01T21:27:07.8179730Z Running tests...
2025-06-01T21:27:07.8180050Z ----------------------------------------------------------------------
2025-06-01T21:27:07.9114590Z .
2025-06-01T21:27:07.9114800Z ----------------------------------------------------------------------
2025-06-01T21:27:07.9115080Z Ran 1 test in 0.093s
2025-06-01T21:27:07.9115190Z 
2025-06-01T21:27:07.9115230Z OK
2025-06-01T21:27:07.9115290Z 
2025-06-01T21:27:07.9115610Z Generating XML reports...
2025-06-01T21:27:08.2325170Z Running test_autoload_enable 1/1 ... [2025-06-01 21:27:08.232391]
2025-06-01T21:27:09.6328440Z running install
2025-06-01T21:27:09.6329780Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-06-01T21:27:09.6330350Z !!
2025-06-01T21:27:09.6330430Z 
2025-06-01T21:27:09.6330530Z         ********************************************************************************
2025-06-01T21:27:09.6330780Z         Please avoid running ``setup.py`` directly.
2025-06-01T21:27:09.6331270Z         Instead, use pypa/build, pypa/installer or other
2025-06-01T21:27:09.6331560Z         standards-based tools.
2025-06-01T21:27:09.6331680Z 
2025-06-01T21:27:09.6331870Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-06-01T21:27:09.6332190Z         ********************************************************************************
2025-06-01T21:27:09.6332350Z 
2025-06-01T21:27:09.6332390Z !!
2025-06-01T21:27:09.6332510Z   self.initialize_options()
2025-06-01T21:27:09.6400250Z running build
2025-06-01T21:27:09.6400590Z running build_py
2025-06-01T21:27:09.6431210Z creating build
2025-06-01T21:27:09.6431780Z creating build/lib.macosx-11.1-arm64-cpython-312
2025-06-01T21:27:09.6432450Z creating build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension
2025-06-01T21:27:09.6433360Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension
2025-06-01T21:27:09.6436630Z running build_ext
2025-06-01T21:27:09.6874520Z building 'torch_test_cpp_extension.cpp' extension
2025-06-01T21:27:09.6874850Z creating build/temp.macosx-11.1-arm64-cpython-312
2025-06-01T21:27:09.6878350Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c extension.cpp -o build/temp.macosx-11.1-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-06-01T21:27:16.2262440Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib build/temp.macosx-11.1-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-06-01T21:27:16.2436780Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:27:16.2702490Z building 'torch_test_cpp_extension.maia' extension
2025-06-01T21:27:16.2705550Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c maia_extension.cpp -o build/temp.macosx-11.1-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-06-01T21:27:22.6306480Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib build/temp.macosx-11.1-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-06-01T21:27:22.6482480Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:27:22.6755680Z building 'torch_test_cpp_extension.rng' extension
2025-06-01T21:27:22.6758880Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c rng_extension.cpp -o build/temp.macosx-11.1-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-06-01T21:27:29.5030520Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib build/temp.macosx-11.1-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-06-01T21:27:29.5206060Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:27:29.5490410Z building 'torch_test_cpp_extension.mps' extension
2025-06-01T21:27:29.5493530Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c mps_extension.mm -o build/temp.macosx-11.1-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-06-01T21:27:33.1603080Z In file included from mps_extension.mm:2:
2025-06-01T21:27:33.1603670Z In file included from /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:9:
2025-06-01T21:27:33.1604750Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-06-01T21:27:33.1606060Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-06-01T21:27:33.1606400Z   ^
2025-06-01T21:27:33.1607170Z /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-06-01T21:27:33.1608100Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-06-01T21:27:33.1608370Z            ^
2025-06-01T21:27:33.1608960Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-06-01T21:27:33.1609590Z class TORCH_API MPSStream {
2025-06-01T21:27:33.1609750Z                 ^
2025-06-01T21:27:33.1610010Z       API_AVAILABLE(macos(12.0))
2025-06-01T21:27:35.8983030Z 1 warning generated.
2025-06-01T21:27:35.9085300Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib build/temp.macosx-11.1-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-06-01T21:27:35.9259220Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:27:35.9515770Z running install_lib
2025-06-01T21:27:35.9556350Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:27:35.9560810Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:27:35.9563930Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:27:35.9567340Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:27:35.9575030Z running install_egg_info
2025-06-01T21:27:35.9650020Z running egg_info
2025-06-01T21:27:35.9676460Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-06-01T21:27:35.9680840Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-06-01T21:27:35.9682180Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-06-01T21:27:35.9683780Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-06-01T21:27:35.9714240Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-06-01T21:27:35.9717950Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-06-01T21:27:35.9719210Z removing './install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it)
2025-06-01T21:27:35.9723520Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-06-01T21:27:35.9732900Z running install_scripts
2025-06-01T21:27:37.7040870Z 
2025-06-01T21:27:37.7041350Z Running tests...
2025-06-01T21:27:37.7041660Z ----------------------------------------------------------------------
2025-06-01T21:27:37.7962490Z .
2025-06-01T21:27:37.7962730Z ----------------------------------------------------------------------
2025-06-01T21:27:37.7962990Z Ran 1 test in 0.092s
2025-06-01T21:27:37.7963090Z 
2025-06-01T21:27:37.7963140Z OK
2025-06-01T21:27:37.7963210Z 
2025-06-01T21:27:37.7963270Z Generating XML reports...
2025-06-01T21:27:38.1124700Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-06-01 21:27:38.112347]
2025-06-01T21:27:39.5691400Z running install
2025-06-01T21:27:39.5692640Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-06-01T21:27:39.5693200Z !!
2025-06-01T21:27:39.5693530Z 
2025-06-01T21:27:39.5693620Z         ********************************************************************************
2025-06-01T21:27:39.5693870Z         Please avoid running ``setup.py`` directly.
2025-06-01T21:27:39.5694120Z         Instead, use pypa/build, pypa/installer or other
2025-06-01T21:27:39.5694340Z         standards-based tools.
2025-06-01T21:27:39.5694460Z 
2025-06-01T21:27:39.5694660Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-06-01T21:27:39.5694980Z         ********************************************************************************
2025-06-01T21:27:39.5695130Z 
2025-06-01T21:27:39.5695170Z !!
2025-06-01T21:27:39.5695290Z   self.initialize_options()
2025-06-01T21:27:39.5762420Z running build
2025-06-01T21:27:39.5762660Z running build_py
2025-06-01T21:27:39.5793520Z creating build
2025-06-01T21:27:39.5794090Z creating build/lib.macosx-11.1-arm64-cpython-312
2025-06-01T21:27:39.5794790Z creating build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension
2025-06-01T21:27:39.5795560Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension
2025-06-01T21:27:39.5798980Z running build_ext
2025-06-01T21:27:39.6508970Z building 'torch_test_cpp_extension.cpp' extension
2025-06-01T21:27:39.6509500Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312
2025-06-01T21:27:46.2501860Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312/extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/extension.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-06-01T21:27:46.2615090Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-06-01T21:27:46.2790660Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:27:46.3058780Z building 'torch_test_cpp_extension.maia' extension
2025-06-01T21:27:52.7580350Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312/maia_extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/maia_extension.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-06-01T21:27:52.7616990Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-06-01T21:27:52.7792210Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:27:52.8059610Z building 'torch_test_cpp_extension.rng' extension
2025-06-01T21:27:59.7053770Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312/rng_extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/rng_extension.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-06-01T21:27:59.7091630Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-06-01T21:27:59.7265460Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:27:59.7532110Z building 'torch_test_cpp_extension.mps' extension
2025-06-01T21:28:06.2013000Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312/mps_extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/mps_extension.mm -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-06-01T21:28:06.2016540Z In file included from /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/mps_extension.mm:2:
2025-06-01T21:28:06.2017200Z In file included from /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:9:
2025-06-01T21:28:06.2018210Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-06-01T21:28:06.2019000Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-06-01T21:28:06.2019250Z   ^
2025-06-01T21:28:06.2020010Z /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-06-01T21:28:06.2020900Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-06-01T21:28:06.2021160Z            ^
2025-06-01T21:28:06.2021720Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-06-01T21:28:06.2027070Z class TORCH_API MPSStream {
2025-06-01T21:28:06.2027250Z                 ^
2025-06-01T21:28:06.2027400Z       API_AVAILABLE(macos(12.0))
2025-06-01T21:28:06.2027570Z 1 warning generated.
2025-06-01T21:28:06.2050080Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-11.1-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-06-01T21:28:06.2223370Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:28:06.2481430Z running install_lib
2025-06-01T21:28:06.2521480Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:28:06.2526110Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:28:06.2529120Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:28:06.2532560Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:28:06.2538730Z running install_egg_info
2025-06-01T21:28:06.2613310Z running egg_info
2025-06-01T21:28:06.2639820Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-06-01T21:28:06.2644080Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-06-01T21:28:06.2645320Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-06-01T21:28:06.2646700Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-06-01T21:28:06.2677130Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-06-01T21:28:06.2680930Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-06-01T21:28:06.2682140Z removing './install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it)
2025-06-01T21:28:06.2687150Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-06-01T21:28:06.2695930Z running install_scripts
2025-06-01T21:28:07.4463080Z running install
2025-06-01T21:28:07.4464080Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-06-01T21:28:07.4464660Z !!
2025-06-01T21:28:07.4464730Z 
2025-06-01T21:28:07.4464810Z         ********************************************************************************
2025-06-01T21:28:07.4465060Z         Please avoid running ``setup.py`` directly.
2025-06-01T21:28:07.4465310Z         Instead, use pypa/build, pypa/installer or other
2025-06-01T21:28:07.4465780Z         standards-based tools.
2025-06-01T21:28:07.4465890Z 
2025-06-01T21:28:07.4466080Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-06-01T21:28:07.4466400Z         ********************************************************************************
2025-06-01T21:28:07.4466550Z 
2025-06-01T21:28:07.4466590Z !!
2025-06-01T21:28:07.4466710Z   self.initialize_options()
2025-06-01T21:28:07.4529620Z running build
2025-06-01T21:28:07.4529830Z running build_ext
2025-06-01T21:28:07.5239990Z building 'no_python_abi_suffix_test' extension
2025-06-01T21:28:07.5240870Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build
2025-06-01T21:28:07.5241830Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-11.1-arm64-cpython-312
2025-06-01T21:28:07.5918690Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-11.1-arm64-cpython-312/no_python_abi_suffix_test.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-11.1-arm64-cpython-312/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -std=c++17
2025-06-01T21:28:07.5952230Z creating build/lib.macosx-11.1-arm64-cpython-312
2025-06-01T21:28:07.5955250Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-11.1-arm64-cpython-312/no_python_abi_suffix_test.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/no_python_abi_suffix_test.so
2025-06-01T21:28:07.6121280Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:28:07.6375850Z running install_lib
2025-06-01T21:28:07.6412770Z creating install
2025-06-01T21:28:07.6413250Z creating install/Users
2025-06-01T21:28:07.6413870Z creating install/Users/ec2-user
2025-06-01T21:28:07.6414400Z creating install/Users/ec2-user/runner
2025-06-01T21:28:07.6414910Z creating install/Users/ec2-user/runner/_work
2025-06-01T21:28:07.6415470Z creating install/Users/ec2-user/runner/_work/_temp
2025-06-01T21:28:07.6416070Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T21:28:07.6416590Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib
2025-06-01T21:28:07.6417130Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12
2025-06-01T21:28:07.6417680Z creating install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages
2025-06-01T21:28:07.6418610Z copying build/lib.macosx-11.1-arm64-cpython-312/no_python_abi_suffix_test.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages
2025-06-01T21:28:07.6423510Z running install_egg_info
2025-06-01T21:28:07.6497610Z running egg_info
2025-06-01T21:28:07.6498170Z creating no_python_abi_suffix_test.egg-info
2025-06-01T21:28:07.6526670Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-06-01T21:28:07.6530730Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-06-01T21:28:07.6532220Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-06-01T21:28:07.6533190Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-06-01T21:28:07.6569270Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-06-01T21:28:07.6572470Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-06-01T21:28:07.6573520Z Copying no_python_abi_suffix_test.egg-info to ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info
2025-06-01T21:28:07.6585100Z running install_scripts
2025-06-01T21:28:07.8660640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:28:07.8665020Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:28:07.866354]
2025-06-01T21:28:10.0398000Z 
2025-06-01T21:28:10.0398660Z 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_968850ba1f66edcd_.log
2025-06-01T21:28:10.0404730Z Running 21 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::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library
2025-06-01T21:28:10.0409000Z 
2025-06-01T21:28:10.0409150Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-06-01 21:28:10.040531]
2025-06-01T21:28:11.4452570Z running install
2025-06-01T21:28:11.4453850Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-06-01T21:28:11.4454710Z !!
2025-06-01T21:28:11.4454780Z 
2025-06-01T21:28:11.4454870Z         ********************************************************************************
2025-06-01T21:28:11.4455120Z         Please avoid running ``setup.py`` directly.
2025-06-01T21:28:11.4455360Z         Instead, use pypa/build, pypa/installer or other
2025-06-01T21:28:11.4455580Z         standards-based tools.
2025-06-01T21:28:11.4455700Z 
2025-06-01T21:28:11.4455900Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-06-01T21:28:11.4456300Z         ********************************************************************************
2025-06-01T21:28:11.4456490Z 
2025-06-01T21:28:11.4456530Z !!
2025-06-01T21:28:11.4456660Z   self.initialize_options()
2025-06-01T21:28:11.4523370Z running build
2025-06-01T21:28:11.4523570Z running build_py
2025-06-01T21:28:11.4554360Z creating build
2025-06-01T21:28:11.4554970Z creating build/lib.macosx-11.1-arm64-cpython-312
2025-06-01T21:28:11.4555600Z creating build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension
2025-06-01T21:28:11.4556450Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension
2025-06-01T21:28:11.4559770Z running build_ext
2025-06-01T21:28:11.4995310Z building 'torch_test_cpp_extension.cpp' extension
2025-06-01T21:28:11.4995720Z creating build/temp.macosx-11.1-arm64-cpython-312
2025-06-01T21:28:11.5000210Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c extension.cpp -o build/temp.macosx-11.1-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-06-01T21:28:18.0265800Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib build/temp.macosx-11.1-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-06-01T21:28:18.0444550Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:28:18.0710060Z building 'torch_test_cpp_extension.maia' extension
2025-06-01T21:28:18.0713290Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c maia_extension.cpp -o build/temp.macosx-11.1-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-06-01T21:28:24.4518270Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib build/temp.macosx-11.1-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-06-01T21:28:24.4691880Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:28:24.4958800Z building 'torch_test_cpp_extension.rng' extension
2025-06-01T21:28:24.4962250Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c rng_extension.cpp -o build/temp.macosx-11.1-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-06-01T21:28:31.3204960Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib build/temp.macosx-11.1-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-06-01T21:28:31.3379330Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:28:31.3650190Z building 'torch_test_cpp_extension.mps' extension
2025-06-01T21:28:31.3653400Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -fPIC -O2 -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include -arch arm64 -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/include/python3.12 -c mps_extension.mm -o build/temp.macosx-11.1-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-06-01T21:28:34.9884730Z In file included from mps_extension.mm:2:
2025-06-01T21:28:34.9885320Z In file included from /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:9:
2025-06-01T21:28:34.9886390Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-06-01T21:28:34.9887570Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-06-01T21:28:34.9887830Z   ^
2025-06-01T21:28:34.9888740Z /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-06-01T21:28:34.9889730Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-06-01T21:28:34.9890000Z            ^
2025-06-01T21:28:34.9890590Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-06-01T21:28:34.9891200Z class TORCH_API MPSStream {
2025-06-01T21:28:34.9891350Z                 ^
2025-06-01T21:28:34.9891490Z       API_AVAILABLE(macos(12.0))
2025-06-01T21:28:37.7349510Z 1 warning generated.
2025-06-01T21:28:37.7452820Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib build/temp.macosx-11.1-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-06-01T21:28:37.7627800Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:28:37.7888760Z running install_lib
2025-06-01T21:28:37.7928550Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:28:37.7933210Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:28:37.7936260Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:28:37.7939890Z copying build/lib.macosx-11.1-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension
2025-06-01T21:28:37.7946030Z running install_egg_info
2025-06-01T21:28:37.8020930Z running egg_info
2025-06-01T21:28:37.8047320Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-06-01T21:28:37.8051640Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-06-01T21:28:37.8053070Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-06-01T21:28:37.8054350Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-06-01T21:28:37.8084690Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-06-01T21:28:37.8088880Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-06-01T21:28:37.8090080Z removing './install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it)
2025-06-01T21:28:37.8094610Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-06-01T21:28:37.8103430Z running install_scripts
2025-06-01T21:28:38.9972870Z running install
2025-06-01T21:28:38.9974050Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-06-01T21:28:38.9974640Z !!
2025-06-01T21:28:38.9974710Z 
2025-06-01T21:28:38.9975050Z         ********************************************************************************
2025-06-01T21:28:38.9975360Z         Please avoid running ``setup.py`` directly.
2025-06-01T21:28:38.9975610Z         Instead, use pypa/build, pypa/installer or other
2025-06-01T21:28:38.9975840Z         standards-based tools.
2025-06-01T21:28:38.9975960Z 
2025-06-01T21:28:38.9976140Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-06-01T21:28:38.9976460Z         ********************************************************************************
2025-06-01T21:28:38.9976610Z 
2025-06-01T21:28:38.9976650Z !!
2025-06-01T21:28:38.9976770Z   self.initialize_options()
2025-06-01T21:28:39.0039110Z running build
2025-06-01T21:28:39.0039300Z running build_ext
2025-06-01T21:28:39.0744880Z building 'no_python_abi_suffix_test' extension
2025-06-01T21:28:39.1217740Z ninja: no work to do.
2025-06-01T21:28:39.1252020Z clang++ -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-11.1-arm64-cpython-312/no_python_abi_suffix_test.o -L/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-11.1-arm64-cpython-312/no_python_abi_suffix_test.so
2025-06-01T21:28:39.1417220Z ld: warning: duplicate -rpath '/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib' ignored
2025-06-01T21:28:39.1669810Z running install_lib
2025-06-01T21:28:39.1706970Z copying build/lib.macosx-11.1-arm64-cpython-312/no_python_abi_suffix_test.so -> ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages
2025-06-01T21:28:39.1712550Z running install_egg_info
2025-06-01T21:28:39.1786490Z running egg_info
2025-06-01T21:28:39.1813390Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-06-01T21:28:39.1817900Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-06-01T21:28:39.1819300Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-06-01T21:28:39.1848260Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-06-01T21:28:39.1851740Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-06-01T21:28:39.1852750Z removing './install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info' (and everything under it)
2025-06-01T21:28:39.1856500Z Copying no_python_abi_suffix_test.egg-info to ./install/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info
2025-06-01T21:28:39.1863930Z running install_scripts
2025-06-01T21:28:39.3940720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:28:39.3944550Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/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'] ... [2025-06-01 21:28:39.394340]
2025-06-01T21:28:41.5302320Z 
2025-06-01T21:28:41.5303010Z 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_4525b2f6fc4ed2af_.log
2025-06-01T21:28:41.5307900Z Running 21 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::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::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
2025-06-01T21:28:41.5312360Z 
2025-06-01T21:28:41.5312540Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-06-01 21:28:41.530745]
2025-06-01T21:28:41.5312860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:28:41.5313670Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_torchinductor_strided_blocks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:28:41.531004]
2025-06-01T21:28:45.8576300Z 
2025-06-01T21:28:45.8577030Z inductor/test_torchinductor_strided_blocks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_2422434978001fe9_.log
2025-06-01T21:28:45.8577590Z 
2025-06-01T21:28:45.8580400Z Running inductor/test_kernel_benchmark 1/1 ... [2025-06-01 21:28:45.857960]
2025-06-01T21:28:45.8580710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:28:45.8583350Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_kernel_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:28:45.858238]
2025-06-01T21:28:49.2665940Z 
2025-06-01T21:28:49.2666560Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_e5d3a8f3ed49bd47_.log
2025-06-01T21:28:49.2667050Z 
2025-06-01T21:28:49.2670100Z Running inductor/test_inductor_utils 1/1 ... [2025-06-01 21:28:49.266935]
2025-06-01T21:28:49.2670400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:28:49.2673360Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_inductor_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:28:49.267219]
2025-06-01T21:28:50.9406560Z 
2025-06-01T21:28:50.9407220Z inductor/test_inductor_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_utils_1.1_cc63e497115a06a6_.log
2025-06-01T21:28:50.9407740Z 
2025-06-01T21:28:50.9410830Z Running inductor/test_extension_backend 1/1 ... [2025-06-01 21:28:50.940980]
2025-06-01T21:28:50.9411210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:28:50.9413380Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:28:50.941253]
2025-06-01T21:28:54.4404340Z 
2025-06-01T21:28:54.4404930Z inductor/test_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_extension_backend_1.1_c1f611bd72c4c119_.log
2025-06-01T21:28:54.4405410Z 
2025-06-01T21:28:54.4408700Z Running inductor/test_move_constructors_to_cuda 1/1 ... [2025-06-01 21:28:54.440775]
2025-06-01T21:28:54.4409220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:28:54.4411970Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_move_constructors_to_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:28:54.441076]
2025-06-01T21:28:57.8426580Z 
2025-06-01T21:28:57.8427270Z inductor/test_move_constructors_to_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_cuda_1.1_a1b368366fafd1e7_.log
2025-06-01T21:28:57.8427800Z 
2025-06-01T21:28:57.8430620Z Running inductor/test_triton_wrapper 1/1 ... [2025-06-01 21:28:57.842981]
2025-06-01T21:28:57.8430930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:28:57.8433430Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:28:57.843260]
2025-06-01T21:29:01.2480480Z 
2025-06-01T21:29:01.2481040Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_6ca15c34b53820cb_.log
2025-06-01T21:29:01.2481510Z 
2025-06-01T21:29:01.2484350Z Running inductor/test_torchinductor_opinfo 5/13 ... [2025-06-01 21:29:01.248354]
2025-06-01T21:29:01.2484650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:01.2487450Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=5', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:01.248642]
2025-06-01T21:29:05.6966550Z 
2025-06-01T21:29:05.6967240Z inductor/test_torchinductor_opinfo 5/13 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_5.13_0c261e3650c92207_.log
2025-06-01T21:29:05.6967900Z Running 0 items in this shard:
2025-06-01T21:29:05.6968040Z 
2025-06-01T21:29:05.6971350Z Running inductor/test_torchinductor_opinfo 12/13 ... [2025-06-01 21:29:05.697076]
2025-06-01T21:29:05.6971710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:05.6975140Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=12', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:05.697402]
2025-06-01T21:29:10.1659390Z 
2025-06-01T21:29:10.1660090Z inductor/test_torchinductor_opinfo 12/13 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_12.13_a6116acb20d1bd80_.log
2025-06-01T21:29:10.1660960Z Running 0 items in this shard:
2025-06-01T21:29:10.1661200Z 
2025-06-01T21:29:10.1664100Z Running inductor/test_torchinductor_opinfo 13/13 ... [2025-06-01 21:29:10.166334]
2025-06-01T21:29:10.1664480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:10.1667600Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=13', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:10.166651]
2025-06-01T21:29:14.6384900Z 
2025-06-01T21:29:14.6385660Z inductor/test_torchinductor_opinfo 13/13 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_13.13_aa65fcaa1055bac0_.log
2025-06-01T21:29:14.6386690Z Running 0 items in this shard:
2025-06-01T21:29:14.6392660Z 
2025-06-01T21:29:14.6393280Z Running inductor/test_compiled_optimizers 1/1 ... [2025-06-01 21:29:14.638960]
2025-06-01T21:29:14.6393700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:14.6394830Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:14.639323]
2025-06-01T21:29:18.8568650Z 
2025-06-01T21:29:18.8569380Z inductor/test_compiled_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_1.1_e66d17cfa39b8969_.log
2025-06-01T21:29:18.8570090Z Running 0 items in this shard:
2025-06-01T21:29:18.8570240Z 
2025-06-01T21:29:18.8573450Z Running functorch/test_ops 2/2 ... [2025-06-01 21:29:18.857269]
2025-06-01T21:29:18.8573800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:18.8577160Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:18.857600]
2025-06-01T21:29:22.3179980Z 
2025-06-01T21:29:22.3180540Z functorch/test_ops 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_2.2_69db2fecce381db6_.log
2025-06-01T21:29:22.3181060Z Running 0 items in this shard:
2025-06-01T21:29:22.3181190Z 
2025-06-01T21:29:22.3184220Z Running inductor/test_cuda_repro 1/1 ... [2025-06-01 21:29:22.318366]
2025-06-01T21:29:22.3184510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:22.3187380Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_cuda_repro.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:22.318641]
2025-06-01T21:29:25.7671370Z 
2025-06-01T21:29:25.7671930Z inductor/test_cuda_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_repro_1.1_91848c54496b43b7_.log
2025-06-01T21:29:25.7672370Z 
2025-06-01T21:29:25.7675050Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-06-01 21:29:25.767451]
2025-06-01T21:29:25.7675350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:25.7678560Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:25.767743]
2025-06-01T21:29:29.5679160Z 
2025-06-01T21:29:29.5679960Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_89217a00266e2135_.log
2025-06-01T21:29:29.5680500Z 
2025-06-01T21:29:29.5683090Z Running export/test_tools 1/1 ... [2025-06-01 21:29:29.568235]
2025-06-01T21:29:29.5683360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:29.5686200Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'export/test_tools.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:29.568520]
2025-06-01T21:29:31.3878350Z 
2025-06-01T21:29:31.3878860Z export/test_tools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tools_1.1_61a6cc46ef3a1a6f_.log
2025-06-01T21:29:31.3879510Z Running 0 items in this shard:
2025-06-01T21:29:31.3879640Z 
2025-06-01T21:29:31.3882470Z Running inductor/test_triton_heuristics 1/1 ... [2025-06-01 21:29:31.388190]
2025-06-01T21:29:31.3882780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:31.3885430Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_triton_heuristics.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:31.388450]
2025-06-01T21:29:34.7966790Z 
2025-06-01T21:29:34.7967430Z inductor/test_triton_heuristics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_heuristics_1.1_c70d499a0a4272d9_.log
2025-06-01T21:29:34.7967910Z 
2025-06-01T21:29:34.7970830Z Running functorch/test_minifier 1/1 ... [2025-06-01 21:29:34.796992]
2025-06-01T21:29:34.7971130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:34.7973870Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'functorch/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:34.797277]
2025-06-01T21:29:36.6783290Z 
2025-06-01T21:29:36.6784050Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_456a28dbd32440cc_.log
2025-06-01T21:29:36.6784790Z Running 0 items in this shard:
2025-06-01T21:29:36.6784960Z 
2025-06-01T21:29:36.6788950Z Running test_jit_fuser_te 1/1 ... [2025-06-01 21:29:36.678818]
2025-06-01T21:29:36.6789320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:36.6793230Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:36.679192]
2025-06-01T21:29:40.0830820Z 
2025-06-01T21:29:40.0832100Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_d57c1430f3723d96_.log
2025-06-01T21:29:40.0832600Z Running 0 items in this shard:
2025-06-01T21:29:40.0832730Z 
2025-06-01T21:29:40.0834940Z Running dynamo/test_compile 1/1 ... [2025-06-01 21:29:40.083443]
2025-06-01T21:29:40.0835280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:40.0838340Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:40.083742]
2025-06-01T21:29:41.9063600Z 
2025-06-01T21:29:41.9064210Z dynamo/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compile_1.1_15565099e099cb96_.log
2025-06-01T21:29:41.9064760Z Running 0 items in this shard:
2025-06-01T21:29:41.9064890Z 
2025-06-01T21:29:41.9067560Z Running test_meta 1/2 ... [2025-06-01 21:29:41.906703]
2025-06-01T21:29:41.9067800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:41.9070550Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_meta.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:41.906967]
2025-06-01T21:29:47.6165370Z 
2025-06-01T21:29:47.6165920Z test_meta 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.2_0dbe3b485d276682_.log
2025-06-01T21:29:47.6166440Z Running 0 items in this shard:
2025-06-01T21:29:47.6166830Z 
2025-06-01T21:29:47.6170100Z Running test_meta 2/2 ... [2025-06-01 21:29:47.616938]
2025-06-01T21:29:47.6170410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:47.6173710Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_meta.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:47.617263]
2025-06-01T21:29:53.2642540Z 
2025-06-01T21:29:53.2643000Z test_meta 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_2.2_64c13f2ca2ad1fbd_.log
2025-06-01T21:29:53.2643420Z Running 0 items in this shard:
2025-06-01T21:29:53.2643550Z 
2025-06-01T21:29:53.2646650Z Running inductor/test_minifier 1/1 ... [2025-06-01 21:29:53.264591]
2025-06-01T21:29:53.2646930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:53.2649760Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:53.264864]
2025-06-01T21:29:56.6854260Z 
2025-06-01T21:29:56.6854760Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_f2ad8cf464acc510_.log
2025-06-01T21:29:56.6855210Z 
2025-06-01T21:29:56.6858020Z Running export/test_schema 1/1 ... [2025-06-01 21:29:56.685730]
2025-06-01T21:29:56.6858290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:56.6861010Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'export/test_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:56.686001]
2025-06-01T21:29:58.4522040Z 
2025-06-01T21:29:58.4522610Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_f743e2b216c1d008_.log
2025-06-01T21:29:58.4523180Z Running 0 items in this shard:
2025-06-01T21:29:58.4523320Z 
2025-06-01T21:29:58.4526750Z Running dynamo/test_comptime 1/1 ... [2025-06-01 21:29:58.452600]
2025-06-01T21:29:58.4527080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:29:58.4530280Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:29:58.452919]
2025-06-01T21:30:00.2830380Z 
2025-06-01T21:30:00.2830940Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_b49bdd2a381d0bf7_.log
2025-06-01T21:30:00.2831480Z Running 0 items in this shard:
2025-06-01T21:30:00.2831820Z 
2025-06-01T21:30:00.2834600Z Running inductor/test_fuzzer 1/1 ... [2025-06-01 21:30:00.283403]
2025-06-01T21:30:00.2834880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:00.2837840Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_fuzzer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:00.283684]
2025-06-01T21:30:03.7939720Z 
2025-06-01T21:30:03.7940240Z inductor/test_fuzzer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fuzzer_1.1_b3eee381427e06db_.log
2025-06-01T21:30:03.7940760Z Running 0 items in this shard:
2025-06-01T21:30:03.7940890Z 
2025-06-01T21:30:03.7944220Z Running inductor/test_group_batch_fusion 1/1 ... [2025-06-01 21:30:03.794347]
2025-06-01T21:30:03.7944550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:03.7947300Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_group_batch_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:03.794629]
2025-06-01T21:30:07.4249280Z 
2025-06-01T21:30:07.4250040Z inductor/test_group_batch_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_group_batch_fusion_1.1_1ad9f23e653ff5b1_.log
2025-06-01T21:30:07.4250760Z Running 0 items in this shard:
2025-06-01T21:30:07.4250930Z 
2025-06-01T21:30:07.4254250Z Running backends/xeon/test_launch 1/1 ... [2025-06-01 21:30:07.425350]
2025-06-01T21:30:07.4254620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:07.4257950Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'backends/xeon/test_launch.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:07.425673]
2025-06-01T21:30:09.1932990Z 
2025-06-01T21:30:09.1933730Z backends/xeon/test_launch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/backends.xeon.test_launch_1.1_07128365b2e68358_.log
2025-06-01T21:30:09.1934340Z Running 0 items in this shard:
2025-06-01T21:30:09.1934470Z 
2025-06-01T21:30:09.1937380Z Running torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-06-01 21:30:09.193667]
2025-06-01T21:30:09.1937720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:09.1940760Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/core/test_einsum.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:09.193970]
2025-06-01T21:30:10.9596000Z 
2025-06-01T21:30:10.9596710Z torch_np/numpy_tests/core/test_einsum 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_einsum_1.1_37d1f580ebc4fd7e_.log
2025-06-01T21:30:10.9600240Z Running 0 items in this shard:
2025-06-01T21:30:10.9600570Z 
2025-06-01T21:30:10.9600730Z Running inductor/test_codegen_triton 1/1 ... [2025-06-01 21:30:10.959975]
2025-06-01T21:30:10.9601040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:10.9603520Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_codegen_triton.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:10.960257]
2025-06-01T21:30:14.4973290Z 
2025-06-01T21:30:14.4974070Z inductor/test_codegen_triton 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codegen_triton_1.1_7c117b30d88eaa44_.log
2025-06-01T21:30:14.4974750Z Running 0 items in this shard:
2025-06-01T21:30:14.4974880Z 
2025-06-01T21:30:14.4977960Z Running export/test_passes 1/1 ... [2025-06-01 21:30:14.497725]
2025-06-01T21:30:14.4978270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:14.4981550Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'export/test_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:14.498045]
2025-06-01T21:30:16.7305990Z 
2025-06-01T21:30:16.7306740Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_6ed1fed3d8bc01a7_.log
2025-06-01T21:30:16.7307230Z Running 0 items in this shard:
2025-06-01T21:30:16.7307370Z 
2025-06-01T21:30:16.7310270Z Running test_openmp 1/1 ... [2025-06-01 21:30:16.730976]
2025-06-01T21:30:16.7310520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:16.7313230Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_openmp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:16.731245]
2025-06-01T21:30:18.4884610Z 
2025-06-01T21:30:18.4885100Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_0b8ad75e228618a9_.log
2025-06-01T21:30:18.4885580Z Running 0 items in this shard:
2025-06-01T21:30:18.4885710Z 
2025-06-01T21:30:18.4888830Z Running test_module_tracker 1/1 ... [2025-06-01 21:30:18.488827]
2025-06-01T21:30:18.4889110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:18.4892290Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_module_tracker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:18.489127]
2025-06-01T21:30:20.2476660Z 
2025-06-01T21:30:20.2477230Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_4dfd705b3af6f528_.log
2025-06-01T21:30:20.2477790Z Running 0 items in this shard:
2025-06-01T21:30:20.2477930Z 
2025-06-01T21:30:20.2481290Z Running inductor/test_block_analysis 1/1 ... [2025-06-01 21:30:20.248056]
2025-06-01T21:30:20.2481640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:20.2484810Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_block_analysis.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:20.248369]
2025-06-01T21:30:23.7598080Z 
2025-06-01T21:30:23.7598710Z inductor/test_block_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_block_analysis_1.1_1f8c62d6ca4d68c4_.log
2025-06-01T21:30:23.7602800Z Running 0 items in this shard:
2025-06-01T21:30:23.7602970Z 
2025-06-01T21:30:23.7603110Z Running export/test_db 1/1 ... [2025-06-01 21:30:23.760212]
2025-06-01T21:30:23.7603420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:23.7606610Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'export/test_db.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:23.760549]
2025-06-01T21:30:25.5339260Z 
2025-06-01T21:30:25.5339920Z export/test_db 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_db_1.1_2394fa85f7215e14_.log
2025-06-01T21:30:25.5340490Z Running 0 items in this shard:
2025-06-01T21:30:25.5340610Z 
2025-06-01T21:30:25.5343310Z Running dynamo/test_config 1/1 ... [2025-06-01 21:30:25.534270]
2025-06-01T21:30:25.5343560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:25.5346490Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:25.534558]
2025-06-01T21:30:27.3679410Z 
2025-06-01T21:30:27.3680190Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_4a91877246dd00d3_.log
2025-06-01T21:30:27.3680770Z Running 0 items in this shard:
2025-06-01T21:30:27.3680920Z 
2025-06-01T21:30:27.3684310Z Running inductor/test_inplace_padding 1/1 ... [2025-06-01 21:30:27.368360]
2025-06-01T21:30:27.3684640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:27.3687940Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_inplace_padding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:27.368678]
2025-06-01T21:30:30.8466680Z 
2025-06-01T21:30:30.8467370Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_e552cafe4304d65c_.log
2025-06-01T21:30:30.8467840Z 
2025-06-01T21:30:30.8470420Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-06-01 21:30:30.846993]
2025-06-01T21:30:30.8470730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:30.8473790Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'higher_order_ops/test_invoke_quant.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:30.847262]
2025-06-01T21:30:34.3467470Z 
2025-06-01T21:30:34.3468150Z higher_order_ops/test_invoke_quant 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_quant_1.1_d087f3c6facaed07_.log
2025-06-01T21:30:34.3468710Z Running 0 items in this shard:
2025-06-01T21:30:34.3468850Z 
2025-06-01T21:30:34.3471490Z Running test_compile_benchmark_util 1/1 ... [2025-06-01 21:30:34.347088]
2025-06-01T21:30:34.3471780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:34.3474630Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_compile_benchmark_util.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:34.347351]
2025-06-01T21:30:36.1099620Z 
2025-06-01T21:30:36.1100320Z 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_6a59759938681dbe_.log
2025-06-01T21:30:36.1101270Z Running 0 items in this shard:
2025-06-01T21:30:36.1101430Z 
2025-06-01T21:30:36.1104430Z Running test_jit 1/1 ... [2025-06-01 21:30:36.110372]
2025-06-01T21:30:36.1104750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:36.1108170Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_jit.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:36.110705]
2025-06-01T21:30:38.9331140Z 
2025-06-01T21:30:38.9331780Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_bda2d0e7cbd0c8b9_.log
2025-06-01T21:30:38.9332390Z Running 0 items in this shard:
2025-06-01T21:30:38.9332560Z 
2025-06-01T21:30:38.9336320Z Running dynamo/test_repros 1/1 ... [2025-06-01 21:30:38.933554]
2025-06-01T21:30:38.9336680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:38.9340160Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_repros.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:38.933898]
2025-06-01T21:30:40.9229320Z 
2025-06-01T21:30:40.9230130Z dynamo/test_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_repros_1.1_f7a801ad390f906f_.log
2025-06-01T21:30:40.9230620Z Running 0 items in this shard:
2025-06-01T21:30:40.9230750Z 
2025-06-01T21:30:40.9233540Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/1 ... [2025-06-01 21:30:40.923270]
2025-06-01T21:30:40.9233890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:40.9236780Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:40.923559]
2025-06-01T21:30:44.7516940Z 
2025-06-01T21:30:44.7517630Z inductor/test_torchinductor_codegen_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.1_62fa4c13b7130605_.log
2025-06-01T21:30:44.7518640Z Running 1 items in this shard: test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_block_sizes_dynamic_shapes_cpu
2025-06-01T21:30:44.7520800Z 
2025-06-01T21:30:44.7520970Z Running test_cuda_expandable_segments 1/1 ... [2025-06-01 21:30:44.752041]
2025-06-01T21:30:44.7521260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:44.7523980Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:44.752301]
2025-06-01T21:30:47.1202840Z 
2025-06-01T21:30:47.1203450Z 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_68d70a72451f3b4d_.log
2025-06-01T21:30:47.1203980Z 
2025-06-01T21:30:47.1206790Z Running inductor/test_aot_inductor_utils 1/1 ... [2025-06-01 21:30:47.120598]
2025-06-01T21:30:47.1207100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:47.1209520Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_aot_inductor_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:47.120870]
2025-06-01T21:30:50.5474630Z 
2025-06-01T21:30:50.5478940Z inductor/test_aot_inductor_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_utils_1.1_576156a631f42811_.log
2025-06-01T21:30:50.5479430Z 
2025-06-01T21:30:50.5479580Z Running inductor/test_select_algorithm 1/1 ... [2025-06-01 21:30:50.547778]
2025-06-01T21:30:50.5479880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:50.5481640Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:50.548060]
2025-06-01T21:30:53.9551950Z 
2025-06-01T21:30:53.9552580Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_f553d4f5b0c38179_.log
2025-06-01T21:30:53.9553080Z 
2025-06-01T21:30:53.9555770Z Running inductor/test_binary_folding 1/1 ... [2025-06-01 21:30:53.955496]
2025-06-01T21:30:53.9556070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:53.9558950Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_binary_folding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:53.955775]
2025-06-01T21:30:57.5144480Z 
2025-06-01T21:30:57.5145020Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_89432067f3471631_.log
2025-06-01T21:30:57.5145550Z Running 0 items in this shard:
2025-06-01T21:30:57.5145680Z 
2025-06-01T21:30:57.5148750Z Running test_hub 1/1 ... [2025-06-01 21:30:57.514804]
2025-06-01T21:30:57.5148990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:57.5151750Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_hub.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:57.515080]
2025-06-01T21:30:59.1803880Z 
2025-06-01T21:30:59.1804350Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_8e4457c04953a6a6_.log
2025-06-01T21:30:59.1804720Z 
2025-06-01T21:30:59.1807860Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-06-01 21:30:59.180701]
2025-06-01T21:30:59.1808200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:30:59.1810800Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:30:59.180977]
2025-06-01T21:31:02.5772670Z 
2025-06-01T21:31:02.5773390Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_ab5647ce53215a3f_.log
2025-06-01T21:31:02.5773980Z 
2025-06-01T21:31:02.5776510Z Running xpu/test_gemm 1/1 ... [2025-06-01 21:31:02.577573]
2025-06-01T21:31:02.5776780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:02.5779390Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'xpu/test_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:02.577846]
2025-06-01T21:31:04.4548730Z 
2025-06-01T21:31:04.4549200Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_9575de7790877f29_.log
2025-06-01T21:31:04.4549650Z Running 0 items in this shard:
2025-06-01T21:31:04.4549770Z 
2025-06-01T21:31:04.4552730Z Running functorch/test_eager_transforms 1/1 ... [2025-06-01 21:31:04.455216]
2025-06-01T21:31:04.4553040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:04.4556370Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:04.455506]
2025-06-01T21:31:07.0413400Z 
2025-06-01T21:31:07.0414130Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_2043688d38410065_.log
2025-06-01T21:31:07.0414880Z Running 0 items in this shard:
2025-06-01T21:31:07.0415050Z 
2025-06-01T21:31:07.0418910Z Running inductor/test_memory 1/1 ... [2025-06-01 21:31:07.041810]
2025-06-01T21:31:07.0419290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:07.0423110Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_memory.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:07.042160]
2025-06-01T21:31:10.4591440Z 
2025-06-01T21:31:10.4592030Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_bd54012142ac1712_.log
2025-06-01T21:31:10.4592450Z 
2025-06-01T21:31:10.4595340Z Running inductor/test_inductor_freezing 1/1 ... [2025-06-01 21:31:10.459459]
2025-06-01T21:31:10.4595670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:10.4598360Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_inductor_freezing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:10.459725]
2025-06-01T21:31:14.0093170Z 
2025-06-01T21:31:14.0093870Z inductor/test_inductor_freezing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_freezing_1.1_cc200fd831289e19_.log
2025-06-01T21:31:14.0094430Z Running 0 items in this shard:
2025-06-01T21:31:14.0094550Z 
2025-06-01T21:31:14.0097450Z Running dynamo/test_export_mutations 1/1 ... [2025-06-01 21:31:14.009667]
2025-06-01T21:31:14.0097760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:14.0100580Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:14.009946]
2025-06-01T21:31:15.8868250Z 
2025-06-01T21:31:15.8868970Z dynamo/test_export_mutations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_mutations_1.1_dba667ec1ce8896d_.log
2025-06-01T21:31:15.8869700Z Running 0 items in this shard:
2025-06-01T21:31:15.8869860Z 
2025-06-01T21:31:15.8873250Z Running dynamo/test_modes 1/1 ... [2025-06-01 21:31:15.887248]
2025-06-01T21:31:15.8873620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:15.8877170Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:15.887595]
2025-06-01T21:31:19.3963070Z 
2025-06-01T21:31:19.3963630Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_b12da7063a5f3b71_.log
2025-06-01T21:31:19.3964180Z Running 0 items in this shard:
2025-06-01T21:31:19.3964320Z 
2025-06-01T21:31:19.3967680Z Running test_weak 1/1 ... [2025-06-01 21:31:19.396705]
2025-06-01T21:31:19.3967980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:19.3971470Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_weak.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:19.397024]
2025-06-01T21:31:21.1726360Z 
2025-06-01T21:31:21.1726830Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_85ec0b406e86123b_.log
2025-06-01T21:31:21.1727330Z Running 0 items in this shard:
2025-06-01T21:31:21.1727470Z 
2025-06-01T21:31:21.1730830Z Running inductor/test_async_compile 1/1 ... [2025-06-01 21:31:21.173011]
2025-06-01T21:31:21.1731170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:21.1734410Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_async_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:21.173319]
2025-06-01T21:31:24.6863120Z 
2025-06-01T21:31:24.6863740Z inductor/test_async_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_async_compile_1.1_dcbafbdb08b9b4fd_.log
2025-06-01T21:31:24.6864390Z Running 0 items in this shard:
2025-06-01T21:31:24.6864540Z 
2025-06-01T21:31:24.6867910Z Running dynamo/test_decorators 1/1 ... [2025-06-01 21:31:24.686724]
2025-06-01T21:31:24.6868220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:24.6871280Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_decorators.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:24.687030]
2025-06-01T21:31:26.5243230Z 
2025-06-01T21:31:26.5243790Z dynamo/test_decorators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_decorators_1.1_d0e18660d7134031_.log
2025-06-01T21:31:26.5244330Z Running 0 items in this shard:
2025-06-01T21:31:26.5247460Z 
2025-06-01T21:31:26.5247620Z Running export/test_unflatten 1/1 ... [2025-06-01 21:31:26.524699]
2025-06-01T21:31:26.5247910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:26.5251080Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:26.525009]
2025-06-01T21:31:28.3127990Z 
2025-06-01T21:31:28.3128590Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_f60933a2eb99a5ae_.log
2025-06-01T21:31:28.3129230Z Running 0 items in this shard:
2025-06-01T21:31:28.3129390Z 
2025-06-01T21:31:28.3132790Z Running test_subclass 1/1 ... [2025-06-01 21:31:28.313210]
2025-06-01T21:31:28.3133110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:28.3136450Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_subclass.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:28.313533]
2025-06-01T21:31:30.0855830Z 
2025-06-01T21:31:30.0856360Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_2acb72e6f79c48e2_.log
2025-06-01T21:31:30.0856910Z Running 0 items in this shard:
2025-06-01T21:31:30.0857060Z 
2025-06-01T21:31:30.0860440Z Running test_masked 1/1 ... [2025-06-01 21:31:30.085979]
2025-06-01T21:31:30.0860740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:30.0863850Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_masked.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:30.086284]
2025-06-01T21:31:32.5326170Z 
2025-06-01T21:31:32.5326720Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_b62c49cbd5c76422_.log
2025-06-01T21:31:32.5327240Z Running 0 items in this shard:
2025-06-01T21:31:32.5327390Z 
2025-06-01T21:31:32.5331270Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-06-01 21:31:32.533058]
2025-06-01T21:31:32.5333990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:32.5335260Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:32.533362]
2025-06-01T21:31:34.4093550Z 
2025-06-01T21:31:34.4094350Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_a7bd07fa34078f2f_.log
2025-06-01T21:31:34.4095110Z Running 0 items in this shard:
2025-06-01T21:31:34.4095330Z 
2025-06-01T21:31:34.4098610Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-06-01 21:31:34.409782]
2025-06-01T21:31:34.4099020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:34.4102320Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:34.410113]
2025-06-01T21:31:37.9067310Z 
2025-06-01T21:31:37.9067940Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_6b6a0448d9ef8054_.log
2025-06-01T21:31:37.9071550Z Running 0 items in this shard:
2025-06-01T21:31:37.9071690Z 
2025-06-01T21:31:37.9071840Z Running lazy/test_step_closures 1/1 ... [2025-06-01 21:31:37.907106]
2025-06-01T21:31:37.9072130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:37.9074900Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'lazy/test_step_closures.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:37.907392]
2025-06-01T21:31:39.6922070Z 
2025-06-01T21:31:39.6922690Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_b25483243b72060a_.log
2025-06-01T21:31:39.6923310Z Running 0 items in this shard:
2025-06-01T21:31:39.6923480Z 
2025-06-01T21:31:39.6927110Z Running test_content_store 1/1 ... [2025-06-01 21:31:39.692639]
2025-06-01T21:31:39.6927450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:39.6930970Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_content_store.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:39.692984]
2025-06-01T21:31:41.5940340Z 
2025-06-01T21:31:41.5940890Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_115114f5227926ae_.log
2025-06-01T21:31:41.5941430Z Running 0 items in this shard:
2025-06-01T21:31:41.5941580Z 
2025-06-01T21:31:41.5945430Z Running inductor/test_torchbind 1/1 ... [2025-06-01 21:31:41.594451]
2025-06-01T21:31:41.5945990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:41.5949040Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_torchbind.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:41.594787]
2025-06-01T21:31:45.0909760Z 
2025-06-01T21:31:45.0910320Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_09076074fcb529e4_.log
2025-06-01T21:31:45.0910870Z Running 0 items in this shard:
2025-06-01T21:31:45.0911010Z 
2025-06-01T21:31:45.0914030Z Running test_out_dtype_op 1/1 ... [2025-06-01 21:31:45.091348]
2025-06-01T21:31:45.0914320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:45.0917420Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_out_dtype_op.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:45.091627]
2025-06-01T21:31:47.0491700Z 
2025-06-01T21:31:47.0492250Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_05ff6a59c0425b8f_.log
2025-06-01T21:31:47.0492780Z Running 0 items in this shard:
2025-06-01T21:31:47.0492920Z 
2025-06-01T21:31:47.0496280Z Running test_modules 1/1 ... [2025-06-01 21:31:47.049565]
2025-06-01T21:31:47.0496560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:47.0499420Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:47.049844]
2025-06-01T21:31:50.0017350Z 
2025-06-01T21:31:50.0017860Z test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.1_6e26c22956bd1756_.log
2025-06-01T21:31:50.0018340Z Running 0 items in this shard:
2025-06-01T21:31:50.0018480Z 
2025-06-01T21:31:50.0021890Z Running dynamo/test_model_output 1/1 ... [2025-06-01 21:31:50.002123]
2025-06-01T21:31:50.0022190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:50.0025320Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_model_output.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:50.002433]
2025-06-01T21:31:51.9520560Z 
2025-06-01T21:31:51.9521110Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_7a215b8d0168dbc9_.log
2025-06-01T21:31:51.9521630Z Running 0 items in this shard:
2025-06-01T21:31:51.9521750Z 
2025-06-01T21:31:51.9524830Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-06-01 21:31:51.952422]
2025-06-01T21:31:51.9525160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:51.9527980Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:51.952696]
2025-06-01T21:31:53.7913350Z 
2025-06-01T21:31:53.7914060Z 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_ecfea01e1445c225_.log
2025-06-01T21:31:53.7914730Z Running 0 items in this shard:
2025-06-01T21:31:53.7917930Z 
2025-06-01T21:31:53.7918260Z Running test_numba_integration 1/1 ... [2025-06-01 21:31:53.791746]
2025-06-01T21:31:53.7918650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:53.7921620Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_numba_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:53.792051]
2025-06-01T21:31:55.6422190Z 
2025-06-01T21:31:55.6422750Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_9a5e20b802f0f5a6_.log
2025-06-01T21:31:55.6423290Z Running 0 items in this shard:
2025-06-01T21:31:55.6423420Z 
2025-06-01T21:31:55.6426750Z Running inductor/test_fused_attention 1/1 ... [2025-06-01 21:31:55.642584]
2025-06-01T21:31:55.6427070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:55.6429560Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:55.642860]
2025-06-01T21:31:59.0541510Z 
2025-06-01T21:31:59.0542130Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_7f04a941ee9e944e_.log
2025-06-01T21:31:59.0542610Z 
2025-06-01T21:31:59.0545910Z Running profiler/test_record_function 1/1 ... [2025-06-01 21:31:59.054499]
2025-06-01T21:31:59.0546220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:31:59.0549030Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'profiler/test_record_function.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:31:59.054789]
2025-06-01T21:32:00.8278600Z 
2025-06-01T21:32:00.8279340Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_1310e634424c115b_.log
2025-06-01T21:32:00.8279980Z Running 0 items in this shard:
2025-06-01T21:32:00.8280120Z 
2025-06-01T21:32:00.8283480Z Running nn/test_lazy_modules 1/1 ... [2025-06-01 21:32:00.828287]
2025-06-01T21:32:00.8283780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:00.8287020Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'nn/test_lazy_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:00.828595]
2025-06-01T21:32:02.7172670Z 
2025-06-01T21:32:02.7173300Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_a90d427def841cda_.log
2025-06-01T21:32:02.7173940Z Running 0 items in this shard:
2025-06-01T21:32:02.7174100Z 
2025-06-01T21:32:02.7177850Z Running test_type_hints 1/1 ... [2025-06-01 21:32:02.717705]
2025-06-01T21:32:02.7178180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:02.7181380Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_type_hints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:02.718025]
2025-06-01T21:32:04.4787980Z 
2025-06-01T21:32:04.4788580Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_d313d2c0a8c5ca8d_.log
2025-06-01T21:32:04.4789160Z Running 0 items in this shard:
2025-06-01T21:32:04.4789600Z 
2025-06-01T21:32:04.4793160Z Running dynamo/test_verify_correctness 1/1 ... [2025-06-01 21:32:04.479240]
2025-06-01T21:32:04.4793540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:04.4796900Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:04.479573]
2025-06-01T21:32:06.3076040Z 
2025-06-01T21:32:06.3076690Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_7574915288128a30_.log
2025-06-01T21:32:06.3077350Z Running 0 items in this shard:
2025-06-01T21:32:06.3077500Z 
2025-06-01T21:32:06.3081020Z Running test_matmul_cuda 1/1 ... [2025-06-01 21:32:06.308013]
2025-06-01T21:32:06.3081340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:06.3084120Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:06.308308]
2025-06-01T21:32:08.1987230Z 
2025-06-01T21:32:08.1987840Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_2bc006db2329fc24_.log
2025-06-01T21:32:08.1988370Z Running 0 items in this shard:
2025-06-01T21:32:08.1988520Z 
2025-06-01T21:32:08.1992070Z Running nn/test_parametrization 1/1 ... [2025-06-01 21:32:08.199145]
2025-06-01T21:32:08.1992380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:08.1995640Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'nn/test_parametrization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:08.199456]
2025-06-01T21:32:10.0975040Z 
2025-06-01T21:32:10.0975650Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_f88f4f1f3654d90b_.log
2025-06-01T21:32:10.0976280Z Running 0 items in this shard:
2025-06-01T21:32:10.0976460Z 
2025-06-01T21:32:10.0979860Z Running dynamo/test_backward_higher_order_ops 1/1 ... [2025-06-01 21:32:10.097910]
2025-06-01T21:32:10.0980230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:10.0983260Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_backward_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:10.098216]
2025-06-01T21:32:11.9360440Z 
2025-06-01T21:32:11.9361110Z dynamo/test_backward_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backward_higher_order_ops_1.1_ab0c9c8f7219efa9_.log
2025-06-01T21:32:11.9361780Z Running 0 items in this shard:
2025-06-01T21:32:11.9361940Z 
2025-06-01T21:32:11.9365260Z Running test_datapipe 1/1 ... [2025-06-01 21:32:11.936459]
2025-06-01T21:32:11.9365570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:11.9368620Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_datapipe.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:11.936755]
2025-06-01T21:32:13.6995950Z 
2025-06-01T21:32:13.6996640Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_a85037b5f4ba21be_.log
2025-06-01T21:32:13.6997160Z Running 0 items in this shard:
2025-06-01T21:32:13.6997290Z 
2025-06-01T21:32:13.7000300Z Running inductor/test_unbacked_symints 1/1 ... [2025-06-01 21:32:13.699962]
2025-06-01T21:32:13.7000590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:13.7003540Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_unbacked_symints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:13.700252]
2025-06-01T21:32:17.1948660Z 
2025-06-01T21:32:17.1949470Z inductor/test_unbacked_symints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_unbacked_symints_1.1_0a98002461ec52f0_.log
2025-06-01T21:32:17.1950070Z Running 0 items in this shard:
2025-06-01T21:32:17.1950200Z 
2025-06-01T21:32:17.1953120Z Running dynamo/test_cudagraphs 1/1 ... [2025-06-01 21:32:17.195254]
2025-06-01T21:32:17.1953430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:17.1956150Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:17.195528]
2025-06-01T21:32:18.9430060Z 
2025-06-01T21:32:18.9430610Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_6aacb8e4fb371382_.log
2025-06-01T21:32:18.9431050Z 
2025-06-01T21:32:18.9434070Z Running test_maskedtensor 1/1 ... [2025-06-01 21:32:18.943330]
2025-06-01T21:32:18.9434350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:18.9437070Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_maskedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:18.943609]
2025-06-01T21:32:21.5028750Z 
2025-06-01T21:32:21.5029370Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_e2bd1b73baf5a227_.log
2025-06-01T21:32:21.5029990Z Running 0 items in this shard:
2025-06-01T21:32:21.5030140Z 
2025-06-01T21:32:21.5034020Z Running test_monitor 1/1 ... [2025-06-01 21:32:21.503327]
2025-06-01T21:32:21.5034340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:21.5037650Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_monitor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:21.503655]
2025-06-01T21:32:23.2719930Z 
2025-06-01T21:32:23.2720460Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_3cf1e26ee9089cc1_.log
2025-06-01T21:32:23.2720980Z Running 0 items in this shard:
2025-06-01T21:32:23.2721120Z 
2025-06-01T21:32:23.2724710Z Running inductor/test_auto_functionalize 1/1 ... [2025-06-01 21:32:23.272410]
2025-06-01T21:32:23.2725290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:23.2728120Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_auto_functionalize.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:23.272704]
2025-06-01T21:32:25.1047050Z 
2025-06-01T21:32:25.1047890Z inductor/test_auto_functionalize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_auto_functionalize_1.1_8ffe10a9275f4726_.log
2025-06-01T21:32:25.1048540Z Running 0 items in this shard:
2025-06-01T21:32:25.1048660Z 
2025-06-01T21:32:25.1051270Z Running test_decomp 1/4 ... [2025-06-01 21:32:25.105058]
2025-06-01T21:32:25.1051540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:25.1054190Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:25.105314]
2025-06-01T21:32:28.3974060Z 
2025-06-01T21:32:28.3974620Z test_decomp 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.4_a428db5b163b30b3_.log
2025-06-01T21:32:28.3975450Z Running 0 items in this shard:
2025-06-01T21:32:28.3975620Z 
2025-06-01T21:32:28.3979060Z Running test_decomp 3/4 ... [2025-06-01 21:32:28.397844]
2025-06-01T21:32:28.3979370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:28.3982830Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:28.398171]
2025-06-01T21:32:31.6583550Z 
2025-06-01T21:32:31.6584020Z test_decomp 3/4 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_3.4_75a7b369c2ff5ae6_.log
2025-06-01T21:32:31.6584460Z Running 0 items in this shard:
2025-06-01T21:32:31.6584590Z 
2025-06-01T21:32:31.6587660Z Running optim/test_optim 1/1 ... [2025-06-01 21:32:31.658715]
2025-06-01T21:32:31.6587920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:31.6590750Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'optim/test_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:31.658981]
2025-06-01T21:32:33.3247650Z 
2025-06-01T21:32:33.3248200Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_a83e805f77e2a7a8_.log
2025-06-01T21:32:33.3248630Z 
2025-06-01T21:32:33.3251880Z Running dynamo/test_torchrec 1/1 ... [2025-06-01 21:32:33.325116]
2025-06-01T21:32:33.3252160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:33.3255180Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:33.325405]
2025-06-01T21:32:35.1145020Z 
2025-06-01T21:32:35.1145610Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_7da9dc73daa9dcdd_.log
2025-06-01T21:32:35.1146150Z Running 0 items in this shard:
2025-06-01T21:32:35.1146280Z 
2025-06-01T21:32:35.1149420Z Running test_ops 2/3 ... [2025-06-01 21:32:35.114865]
2025-06-01T21:32:35.1149680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:35.1152270Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:35.115136]
2025-06-01T21:32:41.9307420Z 
2025-06-01T21:32:41.9307930Z test_ops 2/3 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_2.3_74eca163d468535c_.log
2025-06-01T21:32:41.9308440Z Running 0 items in this shard:
2025-06-01T21:32:41.9308590Z 
2025-06-01T21:32:41.9312290Z Running test_ops 3/3 ... [2025-06-01 21:32:41.931155]
2025-06-01T21:32:41.9312640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:41.9315550Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:41.931448]
2025-06-01T21:32:48.7056720Z 
2025-06-01T21:32:48.7057200Z test_ops 3/3 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_3.3_de85e35c09ab97cf_.log
2025-06-01T21:32:48.7057690Z Running 0 items in this shard:
2025-06-01T21:32:48.7057830Z 
2025-06-01T21:32:48.7066340Z Running test_serialization 1/1 ... [2025-06-01 21:32:48.706090]
2025-06-01T21:32:48.7066910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:32:48.7067850Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_serialization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:32:48.706408]
2025-06-01T21:33:04.4333440Z 
2025-06-01T21:33:04.4334180Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_fe17267799d37fae_.log
2025-06-01T21:33:04.4341730Z Running 2 items in this shard: test/test_serialization.py::TestSerialization::test_serialization_2gb_file, test/test_serialization.py::TestSerialization::test_serialization_4gb_file
2025-06-01T21:33:04.4342390Z 
2025-06-01T21:33:04.4342610Z Running dynamo/test_recompile_ux 1/1 ... [2025-06-01 21:33:04.433456]
2025-06-01T21:33:04.4343000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:04.4344040Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:04.434014]
2025-06-01T21:33:08.1139470Z 
2025-06-01T21:33:08.1140160Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_96206a1689110863_.log
2025-06-01T21:33:08.1140850Z Running 0 items in this shard:
2025-06-01T21:33:08.1141060Z 
2025-06-01T21:33:08.1144640Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-06-01 21:33:08.114388]
2025-06-01T21:33:08.1145050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:08.1148390Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_pocketfft.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:08.114721]
2025-06-01T21:33:09.8742460Z 
2025-06-01T21:33:09.8743170Z torch_np/numpy_tests/fft/test_pocketfft 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_62e7d96769507c56_.log
2025-06-01T21:33:09.8743810Z Running 0 items in this shard:
2025-06-01T21:33:09.8744270Z 
2025-06-01T21:33:09.8746920Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-06-01 21:33:09.874617]
2025-06-01T21:33:09.8747310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:09.8750220Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_base_.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:09.874909]
2025-06-01T21:33:11.6207090Z 
2025-06-01T21:33:11.6215680Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_7f7a929be6cf1f2a_.log
2025-06-01T21:33:11.6222770Z Running 0 items in this shard:
2025-06-01T21:33:11.6222920Z 
2025-06-01T21:33:11.6223060Z Running nn/test_init 1/1 ... [2025-06-01 21:33:11.621089]
2025-06-01T21:33:11.6223400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:11.6224330Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'nn/test_init.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:11.621409]
2025-06-01T21:33:14.5416580Z 
2025-06-01T21:33:14.5425580Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_d6539ab6a6bef276_.log
2025-06-01T21:33:14.5426140Z Running 0 items in this shard:
2025-06-01T21:33:14.5426310Z 
2025-06-01T21:33:14.5426450Z Running test_mkldnn 1/1 ... [2025-06-01 21:33:14.542038]
2025-06-01T21:33:14.5426710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:14.5427610Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_mkldnn.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:14.542310]
2025-06-01T21:33:16.7126010Z 
2025-06-01T21:33:16.7126560Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_88af81b19fba9b70_.log
2025-06-01T21:33:16.7127060Z Running 0 items in this shard:
2025-06-01T21:33:16.7127190Z 
2025-06-01T21:33:16.7129740Z Running test_mkldnn_fusion 1/1 ... [2025-06-01 21:33:16.712933]
2025-06-01T21:33:16.7130080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:16.7132850Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:16.713192]
2025-06-01T21:33:18.4672190Z 
2025-06-01T21:33:18.4672770Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_8d17ee939248b30f_.log
2025-06-01T21:33:18.4673370Z Running 0 items in this shard:
2025-06-01T21:33:18.4673530Z 
2025-06-01T21:33:18.4676460Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-06-01 21:33:18.467580]
2025-06-01T21:33:18.4676810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:18.4679760Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:18.467863]
2025-06-01T21:33:20.2124690Z 
2025-06-01T21:33:20.2125460Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_b6d15ae4c47bb8b2_.log
2025-06-01T21:33:20.2126420Z Running 0 items in this shard:
2025-06-01T21:33:20.2126560Z 
2025-06-01T21:33:20.2129170Z Running test_xnnpack_integration 1/1 ... [2025-06-01 21:33:20.212845]
2025-06-01T21:33:20.2129590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:20.2132930Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:20.213150]
2025-06-01T21:33:21.9593210Z 
2025-06-01T21:33:21.9593820Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_ab095430149b85ef_.log
2025-06-01T21:33:21.9594340Z Running 0 items in this shard:
2025-06-01T21:33:21.9594490Z 
2025-06-01T21:33:21.9597150Z Running dynamo/test_guard_manager 1/1 ... [2025-06-01 21:33:21.959665]
2025-06-01T21:33:21.9597470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:21.9600520Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:21.959955]
2025-06-01T21:33:23.7228650Z 
2025-06-01T21:33:23.7229430Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_057cee65f3d74fa1_.log
2025-06-01T21:33:23.7230190Z Running 0 items in this shard:
2025-06-01T21:33:23.7230380Z 
2025-06-01T21:33:23.7233820Z Running profiler/test_memory_profiler 1/1 ... [2025-06-01 21:33:23.723297]
2025-06-01T21:33:23.7234330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:23.7237770Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:23.723643]
2025-06-01T21:33:25.6059170Z 
2025-06-01T21:33:25.6059920Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_af81a5d03ead06b0_.log
2025-06-01T21:33:25.6060620Z Running 0 items in this shard:
2025-06-01T21:33:25.6060800Z 
2025-06-01T21:33:25.6063760Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-06-01 21:33:25.606302]
2025-06-01T21:33:25.6064270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:25.6067620Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:25.606635]
2025-06-01T21:33:27.3646210Z 
2025-06-01T21:33:27.3646960Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_9f434f5838f848ac_.log
2025-06-01T21:33:27.3647730Z Running 0 items in this shard:
2025-06-01T21:33:27.3647890Z 
2025-06-01T21:33:27.3650890Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-06-01 21:33:27.365005]
2025-06-01T21:33:27.3651370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:27.3654270Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:27.365313]
2025-06-01T21:33:29.1276550Z 
2025-06-01T21:33:29.1277270Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_df67fd01a0487d77_.log
2025-06-01T21:33:29.1278090Z Running 0 items in this shard:
2025-06-01T21:33:29.1278250Z 
2025-06-01T21:33:29.1280960Z Running test_type_promotion 1/1 ... [2025-06-01 21:33:29.128031]
2025-06-01T21:33:29.1281430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:29.1284460Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_type_promotion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:29.128324]
2025-06-01T21:33:30.9988700Z 
2025-06-01T21:33:30.9989360Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_09bd8683ac1904d9_.log
2025-06-01T21:33:30.9990170Z Running 0 items in this shard:
2025-06-01T21:33:30.9990360Z 
2025-06-01T21:33:30.9993690Z Running test_function_schema 1/1 ... [2025-06-01 21:33:30.999297]
2025-06-01T21:33:30.9994120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:30.9998130Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_function_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:30.999660]
2025-06-01T21:33:32.7633260Z 
2025-06-01T21:33:32.7634010Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_6a657a9625439dab_.log
2025-06-01T21:33:32.7634630Z Running 0 items in this shard:
2025-06-01T21:33:32.7634830Z 
2025-06-01T21:33:32.7638020Z Running lazy/test_debug_util 1/1 ... [2025-06-01 21:33:32.763729]
2025-06-01T21:33:32.7638410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:32.7641750Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'lazy/test_debug_util.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:32.764056]
2025-06-01T21:33:34.5010090Z 
2025-06-01T21:33:34.5010700Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_934c03fa0a600ab5_.log
2025-06-01T21:33:34.5011320Z Running 0 items in this shard:
2025-06-01T21:33:34.5011460Z 
2025-06-01T21:33:34.5014300Z Running torch_np/test_reductions 1/1 ... [2025-06-01 21:33:34.501368]
2025-06-01T21:33:34.5014640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:34.5017630Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:34.501656]
2025-06-01T21:33:36.3109780Z 
2025-06-01T21:33:36.3110450Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_aca3063b6ebebf13_.log
2025-06-01T21:33:36.3111160Z Running 0 items in this shard:
2025-06-01T21:33:36.3111340Z 
2025-06-01T21:33:36.3114250Z Running test_prims 1/1 ... [2025-06-01 21:33:36.311357]
2025-06-01T21:33:36.3114610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:36.3117930Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_prims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:36.311679]
2025-06-01T21:33:38.7772150Z 
2025-06-01T21:33:38.7772660Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_96ed9f966dcffbe4_.log
2025-06-01T21:33:38.7773130Z Running 0 items in this shard:
2025-06-01T21:33:38.7773320Z 
2025-06-01T21:33:38.7776040Z Running test_functional_autograd_benchmark 1/1 ... [2025-06-01 21:33:38.777544]
2025-06-01T21:33:38.7776370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:38.7779200Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:38.777806]
2025-06-01T21:33:40.5355370Z 
2025-06-01T21:33:40.5356240Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_9e5d95c11107dace_.log
2025-06-01T21:33:40.5357040Z Running 0 items in this shard:
2025-06-01T21:33:40.5357230Z 
2025-06-01T21:33:40.5360630Z Running profiler/test_profiler_tree 1/1 ... [2025-06-01 21:33:40.535977]
2025-06-01T21:33:40.5361060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:40.5365220Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:40.536369]
2025-06-01T21:33:42.3019770Z 
2025-06-01T21:33:42.3020540Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_5e8b54186762b317_.log
2025-06-01T21:33:42.3021330Z Running 0 items in this shard:
2025-06-01T21:33:42.3021520Z 
2025-06-01T21:33:42.3024650Z Running test_jit_autocast 1/1 ... [2025-06-01 21:33:42.302393]
2025-06-01T21:33:42.3025100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:42.3028420Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:42.302720]
2025-06-01T21:33:45.0676570Z 
2025-06-01T21:33:45.0677290Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_d201242f582e422f_.log
2025-06-01T21:33:45.0677960Z Running 0 items in this shard:
2025-06-01T21:33:45.0678150Z 
2025-06-01T21:33:45.0681800Z Running test_quantization 1/1 ... [2025-06-01 21:33:45.068095]
2025-06-01T21:33:45.0682220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:45.0685730Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:45.068449]
2025-06-01T21:33:47.8138220Z 
2025-06-01T21:33:47.8138840Z test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_1.1_505b2d90d947b32c_.log
2025-06-01T21:33:47.8139520Z Running 0 items in this shard:
2025-06-01T21:33:47.8139710Z 
2025-06-01T21:33:47.8143190Z Running lazy/test_bindings 1/1 ... [2025-06-01 21:33:47.814256]
2025-06-01T21:33:47.8143580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:47.8147010Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'lazy/test_bindings.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:47.814589]
2025-06-01T21:33:48.5672000Z 
2025-06-01T21:33:48.5672580Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_b8ff716a559b214a_.log
2025-06-01T21:33:48.5673010Z 
2025-06-01T21:33:48.5675860Z Running inductor/test_fxir_backend 1/1 ... [2025-06-01 21:33:48.567504]
2025-06-01T21:33:48.5676170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:48.5679310Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:48.567792]
2025-06-01T21:33:52.5115940Z 
2025-06-01T21:33:52.5116660Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_ba81ddf3a0a52d97_.log
2025-06-01T21:33:52.5117110Z 
2025-06-01T21:33:52.5119980Z Running inductor/test_subgraph_choice 1/1 ... [2025-06-01 21:33:52.511924]
2025-06-01T21:33:52.5120320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:52.5123070Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:52.512186]
2025-06-01T21:33:55.9349760Z 
2025-06-01T21:33:55.9350450Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_5fb697f87dfa87d5_.log
2025-06-01T21:33:55.9351010Z 
2025-06-01T21:33:56.0958810Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-06-01 21:33:56.089797]
2025-06-01T21:33:56.1050520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:56.1454180Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_torchinductor_strided_blocks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:56.145212]
2025-06-01T21:33:56.1555740Z Running inductor/test_kernel_benchmark 1/1 ... [2025-06-01 21:33:56.146028]
2025-06-01T21:33:56.1593540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:56.1968340Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_kernel_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:56.196613]
2025-06-01T21:33:56.2260870Z Running inductor/test_inductor_utils 1/1 ... [2025-06-01 21:33:56.221298]
2025-06-01T21:33:56.2298200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:33:56.2686020Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_inductor_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:33:56.267709]
2025-06-01T21:33:58.4955270Z 
2025-06-01T21:33:58.4955890Z inductor/test_inductor_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_utils_1.1_159f458f551b4c7f_.log
2025-06-01T21:33:58.4956420Z 
2025-06-01T21:34:00.4681170Z 
2025-06-01T21:34:00.4681870Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_08c150c30dc5dfa2_.log
2025-06-01T21:34:00.4682760Z 
2025-06-01T21:34:00.4784920Z 
2025-06-01T21:34:00.4785600Z inductor/test_torchinductor_strided_blocks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_88ebd3370d74142c_.log
2025-06-01T21:34:00.4786140Z 
2025-06-01T21:34:02.1409420Z Running inductor/test_extension_backend 1/1 ... [2025-06-01 21:34:02.140727]
2025-06-01T21:34:02.1410550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:34:02.1412640Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:34:02.141021]
2025-06-01T21:34:03.8122080Z Running inductor/test_move_constructors_to_cuda 1/1 ... [2025-06-01 21:34:03.812016]
2025-06-01T21:34:03.8122480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:34:03.8124470Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_move_constructors_to_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:34:03.812304]
2025-06-01T21:34:03.8848290Z Running inductor/test_triton_wrapper 1/1 ... [2025-06-01 21:34:03.884655]
2025-06-01T21:34:03.8849600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:34:03.8851380Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:34:03.884989]
2025-06-01T21:34:06.5134380Z 
2025-06-01T21:34:06.5136490Z inductor/test_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_extension_backend_1.1_ec48bad36c287b34_.log
2025-06-01T21:34:06.5137140Z 
2025-06-01T21:34:08.0057870Z 
2025-06-01T21:34:08.0058960Z inductor/test_move_constructors_to_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_cuda_1.1_e8669ecc21926f05_.log
2025-06-01T21:34:08.0059550Z 
2025-06-01T21:34:08.0992960Z 
2025-06-01T21:34:08.1029730Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_754e8d67c06e1380_.log
2025-06-01T21:34:08.1030230Z 
2025-06-01T21:34:08.5962530Z Running inductor/test_torchinductor_opinfo 5/13 ... [2025-06-01 21:34:08.596041]
2025-06-01T21:34:08.5963530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:34:08.5965360Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=5', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:34:08.596338]
2025-06-01T21:34:10.3357260Z Running inductor/test_torchinductor_opinfo 12/13 ... [2025-06-01 21:34:10.335548]
2025-06-01T21:34:10.3357730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:34:10.3360260Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=12', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:34:10.335828]
2025-06-01T21:34:10.3828120Z Running inductor/test_torchinductor_opinfo 13/13 ... [2025-06-01 21:34:10.382563]
2025-06-01T21:34:10.3828990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:34:10.3829900Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=13', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:34:10.382856]
2025-06-01T21:43:30.8980590Z 
2025-06-01T21:43:30.8983490Z inductor/test_torchinductor_opinfo 13/13 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_13.13_5999c0a15fc49074_.log
2025-06-01T21:43:30.9066680Z Running 283 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__chunk_cat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__segment_reduce_offsets_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__softmax_backward_data_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcdiv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_float64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_general_cosine_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_hamming_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_kaiser_cpu_float32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_multiple_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_float32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_unbiased_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_unbiased_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float32
2025-06-01T21:43:30.9147610Z 
2025-06-01T21:43:33.4986410Z Running inductor/test_compiled_optimizers 1/1 ... [2025-06-01 21:43:33.498416]
2025-06-01T21:43:33.4987800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:43:33.4989440Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:43:33.498723]
2025-06-01T21:43:45.2926510Z 
2025-06-01T21:43:45.2927660Z inductor/test_torchinductor_opinfo 12/13 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_12.13_9390f40ad601b3b3_.log
2025-06-01T21:43:45.3010580Z Running 284 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___ror___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__chunk_cat_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__segment_reduce_lengths_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__segment_reduce_lengths_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_decomposed_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_alias_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_partial_views_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_right_shift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_block_diag_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bmm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_strided_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_uint32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gcd_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_grid_sampler_2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogramdd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hypot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_amax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_tensor_overload_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_unpack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_median_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_batch_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_channel_shuffle_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_similarity_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_group_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardswish_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bicubic_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multi_head_attention_forward_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_reflect_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_scaled_dot_product_attention_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_selu_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_unfold_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_static_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_nuc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_quantile_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_neg_3_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_bartlett_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_cosine_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_float64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_unbiased_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_indices_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unravel_index_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_chunk_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_bool
2025-06-01T21:43:45.3091230Z 
2025-06-01T21:43:47.3334690Z Running functorch/test_ops 2/2 ... [2025-06-01 21:43:47.333265]
2025-06-01T21:43:47.3335460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:43:47.3337890Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:43:47.333564]
2025-06-01T21:44:07.3023210Z 
2025-06-01T21:44:07.3025200Z inductor/test_torchinductor_opinfo 5/13 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_5.13_9cd1470a2eb3a77e_.log
2025-06-01T21:44:07.3110350Z Running 287 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__softmax_backward_data_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_alias_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_not_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_xor_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_xor_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dist_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_permuted_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geqrf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_amax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_amax_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_amin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_prod_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_multinomial_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanquantile_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_channel_shuffle_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cross_entropy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gelu_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gelu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardsigmoid_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardsigmoid_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_l1_loss_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_logsigmoid_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool3d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_grad_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_normalize_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_reflect_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_replicate_negative_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_prelu_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softplus_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_inf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_quantile_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_exponential_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triangular_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_chunk_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float16
2025-06-01T21:44:07.3192060Z 
2025-06-01T21:44:09.3593350Z Running inductor/test_cuda_repro 1/1 ... [2025-06-01 21:44:09.359164]
2025-06-01T21:44:09.3593670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:44:09.3595770Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_cuda_repro.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:44:09.359476]
2025-06-01T21:44:13.2579930Z 
2025-06-01T21:44:13.2581190Z inductor/test_cuda_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_repro_1.1_1cb5b48d0058a97f_.log
2025-06-01T21:44:13.2581740Z 
2025-06-01T21:44:15.2992550Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-06-01 21:44:15.299044]
2025-06-01T21:44:15.2992980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:44:15.2994650Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:44:15.299353]
2025-06-01T21:44:19.4734220Z 
2025-06-01T21:44:19.4735250Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_1134e8066a55af51_.log
2025-06-01T21:44:19.4735900Z 
2025-06-01T21:44:21.4846830Z Running export/test_tools 1/1 ... [2025-06-01 21:44:21.484534]
2025-06-01T21:44:21.4848850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:44:21.4849660Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'export/test_tools.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:44:21.484841]
2025-06-01T21:44:23.9144560Z 
2025-06-01T21:44:23.9145840Z export/test_tools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tools_1.1_c11e9986f5bf5471_.log
2025-06-01T21:44:23.9148400Z Running 2 items in this shard: test/export/test_tools.py::TestExportTools::test_report_exportability_basic, test/export/test_tools.py::TestExportTools::test_report_exportability_with_issues
2025-06-01T21:44:23.9149830Z 
2025-06-01T21:44:26.0081190Z Running inductor/test_triton_heuristics 1/1 ... [2025-06-01 21:44:26.007927]
2025-06-01T21:44:26.0082060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:44:26.0084180Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_triton_heuristics.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:44:26.008242]
2025-06-01T21:44:29.8487460Z 
2025-06-01T21:44:29.8488730Z inductor/test_triton_heuristics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_heuristics_1.1_daacfd305ac245fa_.log
2025-06-01T21:44:29.8489220Z 
2025-06-01T21:44:31.9153200Z Running functorch/test_minifier 1/1 ... [2025-06-01 21:44:31.915130]
2025-06-01T21:44:31.9153620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:44:31.9155540Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'functorch/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:44:31.915448]
2025-06-01T21:44:34.2160460Z 
2025-06-01T21:44:34.2161550Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_6f9f6ea21fbc5b74_.log
2025-06-01T21:44:34.2163100Z Running 5 items in this shard: test/functorch/test_minifier.py::TestMinifier::test_has_add_mul, test/functorch/test_minifier.py::TestMinifier::test_has_mul_minifier, test/functorch/test_minifier.py::TestMinifier::test_input_returned, test/functorch/test_minifier.py::TestMinifier::test_module, test/functorch/test_minifier.py::TestMinifier::test_tup_use
2025-06-01T21:44:34.2164010Z 
2025-06-01T21:44:36.3096710Z Running test_jit_fuser_te 1/1 ... [2025-06-01 21:44:36.309489]
2025-06-01T21:44:36.3097530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:44:36.3099550Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:44:36.309779]
2025-06-01T21:44:42.6492520Z 
2025-06-01T21:44:42.6493230Z inductor/test_compiled_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_1.1_b0006dbcfde34819_.log
2025-06-01T21:44:42.6553330Z Running 213 items in this shard: test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_S429861, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_rho_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_rho_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_weight_decay_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_initial_accumulator_value_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_initial_accumulator_value_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_lr_decay_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_lr_decay_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_mps_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_weight_decay_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_mps_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_amsgrad_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_amsgrad_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_mps_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_amsgrad_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_amsgrad_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_lambd_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_lambd_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_recompile_default, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_recompile_foreach, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_recompile_single, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_t0_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_t0_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_basic_shampoo, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_closure_graph_break, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_compile_time_smoketest, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_foreach_map_adam, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_get_value_on_static_address, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_guard_on_none_grads, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_momentum_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_momentum_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_decoupled_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_decoupled_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_eps_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_eps_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_decoupled_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_decoupled_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_maximize_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_maximize_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_momentum_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_momentum_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_momentum_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_momentum_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_etas_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_etas_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_step_sizes_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_step_sizes_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_dampening_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_dampening_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_nesterov_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_nesterov_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_recompile_foreach, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_recompile_single, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_mps_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_weight_decay_maximize_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_weight_decay_mps, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_static_address_finalizer
2025-06-01T21:44:42.6611550Z 
2025-06-01T21:44:44.6632940Z Running dynamo/test_compile 1/1 ... [2025-06-01 21:44:44.663115]
2025-06-01T21:44:44.6633910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:44:44.6635260Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:44:44.663425]
2025-06-01T21:44:51.3510610Z 
2025-06-01T21:44:51.3511460Z dynamo/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compile_1.1_5e2421ec07593489_.log
2025-06-01T21:44:51.3515410Z Running 16 items in this shard: test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_callback, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_callback_with_graph_break, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_constant_hasattr_fail, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_evnum_hasattr_fail, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_name_error, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_nn_module_invalid_method, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_tensor_invalid_method, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compile_eager_options, test/dynamo/test_compile.py::InPlaceCompilationTests::test_jit_save, test/dynamo/test_compile.py::InPlaceCompilationTests::test_overwrite_call_impl, test/dynamo/test_compile.py::InPlaceCompilationTests::test_save, test/dynamo/test_compile.py::InPlaceCompilationTests::test_state_dict_save, test/dynamo/test_compile.py::InPlaceCompilationTests::test_to_sparse_to_dense_with_graph_break, test/dynamo/test_compile.py::InPlaceCompilationTests::test_torch_script_compilation, test/dynamo/test_compile.py::PublicTorchCompilerTests::test_dynamo_signatures
2025-06-01T21:44:51.3519240Z 
2025-06-01T21:44:53.2950620Z Running test_meta 1/2 ... [2025-06-01 21:44:53.294886]
2025-06-01T21:44:53.2951310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:44:53.2953570Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_meta.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:44:53.295165]
2025-06-01T21:46:40.8064590Z 
2025-06-01T21:46:40.8065560Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_7954b2cb7662a10c_.log
2025-06-01T21:46:40.9520630Z Running 6857 items in this shard: test/test_jit_fuser_te.py::TestFuserCommon::test_autodiff_fallback, test/test_jit_fuser_te.py::TestTEFuserStatic::test_abs, test/test_jit_fuser_te.py::TestTEFuserStatic::test_adaptive_avg_pool2d, test/test_jit_fuser_te.py::TestTEFuserStatic::test_add_bool, test/test_jit_fuser_te.py::TestTEFuserStatic::test_addcmul, test/test_jit_fuser_te.py::TestTEFuserStatic::test_arg_configurations_smoke, test/test_jit_fuser_te.py::TestTEFuserStatic::test_autocast_down, test/test_jit_fuser_te.py::TestTEFuserStatic::test_autocast_up, test/test_jit_fuser_te.py::TestTEFuserStatic::test_batch_norm, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_div_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_pow, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_tensor_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_bitwise_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_broadcast, test/test_jit_fuser_te.py::TestTEFuserStatic::test_cat_2k_args, test/test_jit_fuser_te.py::TestTEFuserStatic::test_cat_graph_opt, test/test_jit_fuser_te.py::TestTEFuserStatic::test_channels_last_dims_dynamic, test/test_jit_fuser_te.py::TestTEFuserStatic::test_checks_cat_inputs, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_correctness, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_distributes, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_motion_deduplicates_inputs, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_mul_one, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_multiple, test/test_jit_fuser_te.py::TestTEFuserStatic::test_clamp, test/test_jit_fuser_te.py::TestTEFuserStatic::test_clamp_double, test/test_jit_fuser_te.py::TestTEFuserStatic::test_clamp_int, test/test_jit_fuser_te.py::TestTEFuserStatic::test_comparison_eq_ne, test/test_jit_fuser_te.py::TestTEFuserStatic::test_comparison_ge_le, test/test_jit_fuser_te.py::TestTEFuserStatic::test_comparison_gt_lt, test/test_jit_fuser_te.py::TestTEFuserStatic::test_concat, test/test_jit_fuser_te.py::TestTEFuserStatic::test_concat_invariant, test/test_jit_fuser_te.py::TestTEFuserStatic::test_constant_chunk_shapes, test/test_jit_fuser_te.py::TestTEFuserStatic::test_conv2d, test/test_jit_fuser_te.py::TestTEFuserStatic::test_conv2d_depthwise, test/test_jit_fuser_te.py::TestTEFuserStatic::test_cuda_half, test/test_jit_fuser_te.py::TestTEFuserStatic::test_dims, test/test_jit_fuser_te.py::TestTEFuserStatic::test_disabled, test/test_jit_fuser_te.py::TestTEFuserStatic::test_div_bool, test/test_jit_fuser_te.py::TestTEFuserStatic::test_dynamic_cat, test/test_jit_fuser_te.py::TestTEFuserStatic::test_dynamic_shapes, 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2025-06-01T21:46:41.0945340Z 
2025-06-01T21:46:42.8909930Z Running test_meta 2/2 ... [2025-06-01 21:46:42.890787]
2025-06-01T21:46:42.8910620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:46:42.8912540Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_meta.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:46:42.891085]
2025-06-01T21:51:08.1111210Z 
2025-06-01T21:51:08.1111770Z test_meta 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.2_8b5f49b435f3a5ab_.log
2025-06-01T21:51:08.5221620Z Running 20316 items in this shard: test/test_meta.py::TestMetaConverter::test_complex_noncontiguous_bug, test/test_meta.py::TestMetaConverter::test_inplace_set_storage, test/test_meta.py::TestMetaConverter::test_leaf, test/test_meta.py::TestMetaConverter::test_non_leaf, test/test_meta.py::TestMetaConverter::test_requires_grad_false, 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::TestMetaConverter::test_view_mutate, test/test_meta.py::TestMetaConverter::test_view_of_leaf, test/test_meta.py::TestMetaConverter::test_view_of_non_leaf, test/test_meta.py::TestMetaConverter::test_weakref, 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_batch_norm_backward_output_mask2_cpu, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask3_cpu, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___radd___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___rmul___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rpow___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_clamp_max_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_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_div_no_rounding_mode_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atanh_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atanh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atanh_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atleast_1d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atleast_1d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atleast_1d_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atleast_1d_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atleast_1d_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atleast_1d_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atleast_1d_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atleast_1d_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atleast_3d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_baddbmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_baddbmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_baddbmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_baddbmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_baddbmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_baddbmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bernoulli_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bfloat16_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bfloat16_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bfloat16_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bfloat16_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bfloat16_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bincount_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bincount_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bincount_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_and_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_and_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_left_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_right_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_right_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_right_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bool_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bool_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_shapes_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bucketize_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bucketize_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bucketize_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bucketize_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bucketize_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_jiterator_unary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_jiterator_unary_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_jiterator_unary_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_jiterator_unary_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_jiterator_unary_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_jiterator_unary_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_jiterator_unary_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_jiterator_unary_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_kron_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_kron_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_kron_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ldexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_le_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_le_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_le_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_le_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_le_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_le_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lerp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lgamma_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lgamma_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lgamma_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lgamma_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lgamma_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cholesky_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cholesky_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cholesky_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cholesky_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cholesky_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cond_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cond_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cross_cpu_bfloat16, 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_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cross_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cross_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cross_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cross_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_cross_cpu_int8, 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_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_diagonal_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_diagonal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_diagonal_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_diagonal_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_diagonal_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_diagonal_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eig_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eig_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eig_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eigh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eigvals_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eigvals_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eigvalsh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eigvalsh_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eigvalsh_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_householder_product_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_inv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_inv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_inv_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_inv_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_inv_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_ldl_factor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_ldl_factor_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_ldl_factor_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_ldl_factor_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_ldl_factor_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_ldl_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_ldl_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_ldl_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lstsq_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lstsq_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lstsq_grad_oriented_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lstsq_grad_oriented_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lu_factor_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lu_factor_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lu_factor_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lu_factor_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lu_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lu_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lu_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_norm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_power_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_power_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_power_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_rank_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_rank_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_rank_hermitian_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_rank_hermitian_cpu_float64, 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_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_multi_dot_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_multi_dot_cpu_uint8, 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_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_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_hermitian_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_hermitian_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_hermitian_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_singular_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_singular_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_singular_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_qr_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_slogdet_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_triangular_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_triangular_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_svd_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_svdvals_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_tensorinv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_tensorsolve_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_vander_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_vander_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_vander_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_vecdot_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_vecdot_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_vector_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_vector_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_cpu_int32, 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_cpu_uint8, 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_float16, 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_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log10_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log10_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log10_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log10_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log10_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log10_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log10_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log10_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log10_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log1p_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log1p_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log1p_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log1p_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log1p_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_int8, 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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_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_complex64, 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_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_uint8, 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, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_alpha_dropout_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_alpha_dropout_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_alpha_dropout_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_avg_pool1d_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_avg_pool1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_avg_pool1d_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_avg_pool1d_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_avg_pool3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_avg_pool3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_batch_norm_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_max_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_max_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_max_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_max_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_max_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_max_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_max_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_max_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_maximum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_maximum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_maximum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_maximum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_maximum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_minimum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_minimum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_minimum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_norm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_norm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_pow_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_pow_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_pow_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_pow_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_rsqrt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_rsqrt_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_rsqrt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_rsqrt_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_rsqrt_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_rsqrt_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_rsqrt_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sigmoid_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sigmoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sigmoid_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sigmoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sigmoid_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sigmoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sigmoid_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sqrt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sqrt_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sqrt_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sqrt_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sqrt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_trunc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_trunc_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_trunc_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_trunc_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_trunc_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_trunc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_trunc_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_complex64, 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__foreach_zero_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__native_batch_norm_legit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__native_batch_norm_legit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_lengths_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_offsets_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_offsets_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__softmax_backward_data_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__softmax_backward_data_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__upsample_bilinear2d_aa_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__upsample_bilinear2d_aa_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_int64, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_bfloat16, 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_float16, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int8, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcdiv_cpu_complex128, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_int8, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_float16, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_complex64, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_uint8, 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_float32, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int8, 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_argmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_uint8, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_uint8, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_float16, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_complex128, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_bfloat16, 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_int16, 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_atanh_cpu_int8, 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_2d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_float32, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_left_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int8, 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_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_int8, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_float16, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_uint8, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_bfloat16, 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_cartesian_prod_cpu_float64, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cauchy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int64, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_bfloat16, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_float64, 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_cholesky_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_bfloat16, 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, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_int32, 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_combinations_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_complex_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_complex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_complex128, 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, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_int32, 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, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_bfloat16, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int32, 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_float16, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_int8, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_complex64, 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_cumsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_int8, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_int8, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_bool, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int16, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_int16, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_bool, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_float32, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_float32, 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_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_int8, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_complex64, 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_no_rounding_mode_cpu_int32, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_uint8, 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_dot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_float16, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_int64, 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_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_einsum_cpu_uint8, 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_complex32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_int32, 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_exponential_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_exponential_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float8_e4m3fnuz, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float8_e5m2, 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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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_complex128, 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_irfft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_float64, 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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_int32, 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_flatten_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_bool, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_float64, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_float16, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmod_cpu_int32, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_frexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_frexp_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigvals_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigvals_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigvals_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigvalsh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_householder_product_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_householder_product_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_householder_product_cpu_float64, 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_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_inv_ex_cpu_complex64, 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_cpu_float32, 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_complex64, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lstsq_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lstsq_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lstsq_grad_oriented_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_lstsq_grad_oriented_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_solve_cpu_complex128, 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_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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_power_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_slogdet_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_triangular_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_triangular_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svd_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svdvals_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svdvals_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_float32, 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_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_int16, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_uint8, 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_int8, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int64, 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_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_log_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_log_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logaddexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_complex128, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int16, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int16, 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_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_float16, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_matrix_exp_cpu_bfloat16, 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_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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_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_float64, 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_bfloat16, 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_int16, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_float32, 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_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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_int64, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_float16, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_float32, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_float32, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_bool, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_complex64, 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_movedim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_multinomial_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_float16, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_int64, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_float64, 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_3_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_float64, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanquantile_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_batch_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_batch_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_layer_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_layer_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nextafter_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_bfloat16, 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_ravel_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_uint8, 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_reciprocal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_bfloat16, 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_repeat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_int32, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_bool, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_bfloat16, 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_rot90_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_uint8, 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_float16, 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_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_short_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_short_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sign_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sign_cpu_bool, 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_int16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_sub_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_svd_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_along_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_along_dim_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_along_dim_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_along_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_along_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_along_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensordot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensordot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensordot_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensordot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensordot_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_float64, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_triangular_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_int64, 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_triu_indices_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_int8, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_float16, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_uint8, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_uniform_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_uniform_cpu_complex128, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_int32, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_uint32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unravel_index_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unravel_index_cpu_int64, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_complex128, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_bool, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_float16, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_unbiased_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_unbiased_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_unbiased_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_bool, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_float32, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_int8, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_bfloat16, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_int32, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_float32, 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_int8, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_complex128, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_int16, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int32, 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_and_cpu_uint8, 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_left_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int64, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_int16, 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_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_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_complex32, 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_float64, 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_bmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_complex32, 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_bool_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_int32, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_int32, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_int32, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_int16, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdist_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdist_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_float32, 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_cdouble_cpu_int8, 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_int16, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_int8, 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_int8, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_cpu_float64, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_inverse_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_cpu_float64, 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_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_int64, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_int16, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_complex_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_fft_fftn_cpu_float32, 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_int8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_flipud_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_flipud_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_flipud_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_power_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_power_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_power_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_floor_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_pinv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_pinv_cpu_float64, 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_hermitian_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_pinv_singular_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_qr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_slogdet_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_triangular_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_triangular_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_triangular_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_svd_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_svdvals_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_svdvals_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_tensorinv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_tensorinv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_tensorsolve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vander_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vander_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vecdot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vecdot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vecdot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vecdot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vector_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vector_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vector_norm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_cpu_float32, 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_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_log10_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_log1p_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_log1p_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log1p_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_log1p_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_log1p_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_log1p_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_log2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_log2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_log2_cpu_uint8, 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_int16, 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_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_normal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logaddexp2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logaddexp2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logaddexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logaddexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logcumsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logcumsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logcumsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logcumsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logcumsumexp_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_unpack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_unpack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_unpack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_float16, 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_int32, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_int16, 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_select_cpu_int8, 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, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pairwise_distance_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_shuffle_cpu_bfloat16, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_shuffle_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_shuffle_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_shuffle_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_shuffle_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_shuffle_cpu_int8, 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_complex64, 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_pixel_unshuffle_cpu_uint8, 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_float64, 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_poisson_nll_loss_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_poisson_nll_loss_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_prelu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_prelu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_prelu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_relu6_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_relu6_cpu_float64, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_relu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_relu_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_real_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_real_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_reciprocal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_reciprocal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_reciprocal_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_reciprocal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_reciprocal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_remainder_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_remainder_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_remainder_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_remainder_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_remainder_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_renorm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_renorm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_renorm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_renorm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_repeat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_repeat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_repeat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_repeat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_repeat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_repeat_interleave_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_repeat_interleave_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_repeat_interleave_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_repeat_interleave_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_reshape_as_cpu_bool, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_resolve_neg_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_roll_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_roll_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_roll_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_roll_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_roll_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_roll_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_roll_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_roll_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_rot90_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_rot90_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_rot90_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_rot90_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_rot90_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_select_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_select_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_select_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_select_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_select_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_select_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_select_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_select_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_sgn_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sgn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_sgn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_sgn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sgn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_sgn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_short_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_short_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_short_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_short_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_short_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_sigmoid_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sigmoid_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_sigmoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sigmoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_sigmoid_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sigmoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_sigmoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_sign_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_sub_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_to_size_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_to_size_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_to_size_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_to_size_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_svd_lowrank_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_svd_lowrank_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_cpu_bfloat16, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_along_dim_cpu_bfloat16, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_cpu_uint8, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_uint8, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensordot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensordot_cpu_float32, 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_tensordot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_float32, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_int16, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_topk_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_topk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_torch__scaled_mm_cpu_float8_e4m3fn, test/test_meta.py::TestMetaCPU::test_meta_outplace_torch__scaled_mm_cpu_float8_e5m2, test/test_meta.py::TestMetaCPU::test_meta_outplace_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_meta.py::TestMetaCPU::test_meta_outplace_torch_ops_aten__safe_softmax_default_cpu_bool, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_true_divide_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_true_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_true_divide_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_true_divide_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_true_divide_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_trunc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_trunc_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_trunc_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_trunc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_copy_cpu_int32, 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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_unflatten_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unflatten_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_float32, 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_bfloat16, 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_complex32, 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_unfold_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_complex128, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_int32, 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_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_real_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int8, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_bool, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_complex128, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_uint8, test/test_meta.py::TestMetaCPU::test_nan_to_num_cpu, test/test_meta.py::TestMetaCPU::test_nonzero_cpu
2025-06-01T21:51:09.0550030Z 
2025-06-01T21:51:10.1099680Z Running inductor/test_minifier 1/1 ... [2025-06-01 21:51:10.109772]
2025-06-01T21:51:10.1100470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:51:10.1102960Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:51:10.110075]
2025-06-01T21:51:14.0471990Z 
2025-06-01T21:51:14.0472500Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_b7846fec42c51b4b_.log
2025-06-01T21:51:14.0472940Z 
2025-06-01T21:51:16.0146020Z Running export/test_schema 1/1 ... [2025-06-01 21:51:16.014407]
2025-06-01T21:51:16.0146760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:51:16.0148870Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'export/test_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:51:16.014690]
2025-06-01T21:51:18.4123410Z 
2025-06-01T21:51:18.4124910Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_e41cd7ed7cf011ae_.log
2025-06-01T21:51:18.4127780Z Running 4 items in this shard: test/export/test_schema.py::TestSchema::test_schema_check, test/export/test_schema.py::TestSchema::test_schema_compatibility, test/export/test_schema.py::TestSchema::test_schema_diff, test/export/test_schema.py::TestSchema::test_thrift_schema_unchanged
2025-06-01T21:51:18.4128580Z 
2025-06-01T21:51:20.3606970Z Running dynamo/test_comptime 1/1 ... [2025-06-01 21:51:20.360493]
2025-06-01T21:51:20.3608130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:51:20.3609960Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:51:20.360777]
2025-06-01T21:51:27.9930670Z 
2025-06-01T21:51:27.9931190Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_e2ba7f1177f7a074_.log
2025-06-01T21:51:27.9933790Z Running 12 items in this shard: test/dynamo/test_comptime.py::ComptimeTests::test_get_local, test/dynamo/test_comptime.py::ComptimeTests::test_get_local_closure_variable, test/dynamo/test_comptime.py::ComptimeTests::test_graph_break, test/dynamo/test_comptime.py::ComptimeTests::test_print_bt, test/dynamo/test_comptime.py::ComptimeTests::test_print_direct, test/dynamo/test_comptime.py::ComptimeTests::test_print_disas, test/dynamo/test_comptime.py::ComptimeTests::test_print_graph, test/dynamo/test_comptime.py::ComptimeTests::test_print_guards, test/dynamo/test_comptime.py::ComptimeTests::test_print_locals, test/dynamo/test_comptime.py::ComptimeTests::test_print_single, test/dynamo/test_comptime.py::ComptimeTests::test_print_value_stack, test/dynamo/test_comptime.py::ComptimeTests::test_sleep
2025-06-01T21:51:27.9935810Z 
2025-06-01T21:51:29.9761870Z Running inductor/test_fuzzer 1/1 ... [2025-06-01 21:51:29.975989]
2025-06-01T21:51:29.9763000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:51:29.9764740Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_fuzzer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:51:29.976265]
2025-06-01T21:51:35.1011970Z 
2025-06-01T21:51:35.1012520Z inductor/test_fuzzer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fuzzer_1.1_9038416dcf19722b_.log
2025-06-01T21:51:35.1015420Z Running 11 items in this shard: test/inductor/test_fuzzer.py::TestConfigFuzzer::test_config_fuzzer_bisector_boolean, test/inductor/test_fuzzer.py::TestConfigFuzzer::test_config_fuzzer_bisector_exception, test/inductor/test_fuzzer.py::TestConfigFuzzer::test_config_fuzzer_dynamo_bisect, test/inductor/test_fuzzer.py::TestConfigFuzzer::test_config_fuzzer_inductor_bisect, test/inductor/test_fuzzer.py::TestConfigFuzzer::test_config_fuzzer_inductor_cpu, test/inductor/test_fuzzer.py::TestConfigFuzzer::test_config_fuzzer_inductor_gpu, test/inductor/test_fuzzer.py::TestConfigFuzzer::test_config_fuzzer_n_tuple, test/inductor/test_fuzzer.py::TestConfigFuzzer::test_fuzzer_inductor_calling_compile, test/inductor/test_fuzzer.py::TestConfigFuzzer::test_fuzzer_running_test, test/inductor/test_fuzzer.py::TestConfigFuzzer::test_sampling_method_random, test/inductor/test_fuzzer.py::TestConfigFuzzer::test_sampling_method_toggle
2025-06-01T21:51:35.1017750Z 
2025-06-01T21:51:37.1255920Z Running inductor/test_group_batch_fusion 1/1 ... [2025-06-01 21:51:37.125413]
2025-06-01T21:51:37.1256980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:51:37.1259220Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_group_batch_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:51:37.125713]
2025-06-01T21:51:50.8634610Z 
2025-06-01T21:51:50.8635700Z inductor/test_group_batch_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_group_batch_fusion_1.1_740170ab92a33ff8_.log
2025-06-01T21:51:50.8639410Z Running 12 items in this shard: test/inductor/test_group_batch_fusion.py::TestGroupBatchFusion::test_batch_layer_norm_fusion, test/inductor/test_group_batch_fusion.py::TestGroupBatchFusion::test_batch_linear_lhs_fusion, test/inductor/test_group_batch_fusion.py::TestGroupBatchFusion::test_batch_linear_pre_grad_fusion, test/inductor/test_group_batch_fusion.py::TestGroupBatchFusion::test_gate_fusion_post_grad, test/inductor/test_group_batch_fusion.py::TestGroupBatchFusion::test_group_linear_fusion, test/inductor/test_group_batch_fusion.py::TestGroupBatchFusion::test_group_linear_fusion_different_shapes, test/inductor/test_group_batch_fusion.py::TestGroupBatchFusion::test_math_op_fusion, test/inductor/test_group_batch_fusion.py::TestGroupBatchFusion::test_pointwise_op_fusion, test/inductor/test_group_batch_fusion.py::TestGroupBatchFusion::test_pointwise_op_fusion_post_grad, test/inductor/test_group_batch_fusion.py::TestPostGradBatchLinearFusion::test_batch_linear_post_grad_fusion, test/inductor/test_group_batch_fusion.py::TestFindIndependentSubsetGreedy::test_find_independent_subset_greedy, test/inductor/test_group_batch_fusion.py::TestFindIndependentSubsetGreedy::test_find_independent_subset_greedy_fuse
2025-06-01T21:51:50.8642930Z 
2025-06-01T21:51:52.8248300Z Running backends/xeon/test_launch 1/1 ... [2025-06-01 21:51:52.824646]
2025-06-01T21:51:52.8249110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:51:52.8251300Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'backends/xeon/test_launch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:51:52.824941]
2025-06-01T21:51:54.8203590Z 
2025-06-01T21:51:54.8204140Z backends/xeon/test_launch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/backends.xeon.test_launch_1.1_3a20e2049b1f2643_.log
2025-06-01T21:51:54.8204990Z Running 2 items in this shard: test/backends/xeon/test_launch.py::TestTorchrun::test_cpu_info, test/backends/xeon/test_launch.py::TestTorchrun::test_multi_threads
2025-06-01T21:51:54.8205450Z 
2025-06-01T21:51:56.7755510Z Running torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-06-01 21:51:56.775341]
2025-06-01T21:51:56.7756400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:51:56.7758810Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/core/test_einsum.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:51:56.775632]
2025-06-01T21:52:02.7220870Z 
2025-06-01T21:52:02.7222040Z torch_np/numpy_tests/core/test_einsum 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_einsum_1.1_ddc11528fdfaa04e_.log
2025-06-01T21:52:02.7233000Z Running 50 items in this shard: test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_broadcasting_dot_cases, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_collapse, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_combined_views_mapping, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_complex, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_different_paths_dtype_B, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_different_paths_dtype_D, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_different_paths_dtype_F, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_different_paths_dtype_b, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_different_paths_dtype_d, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_different_paths_dtype_e, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_different_paths_dtype_f, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_different_paths_dtype_h, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_different_paths_dtype_i, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_different_paths_dtype_l, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_edge_cases, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_all_contig_non_contig_output, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_broadcast, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_errors, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_failed_on_p9_and_s390x, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_fixed_collapsingbug, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_fixedstridebug, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_misc, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_sums_cfloat128, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_sums_cfloat64, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_sums_float16, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_sums_float32, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_sums_float64, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_sums_int16, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_sums_int32, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_sums_int64, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_sums_int8, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_sums_uint8, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_einsum_views, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_expand, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_hadamard_like_products, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_index_transformations, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_inner_product, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_out_is_res, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_output_order, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_random_cases, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_small_boolean_arrays, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsum::test_subscript_range, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsumPath::test_edge_paths, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsumPath::test_long_paths, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsumPath::test_memory_contraints, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsumPath::test_path_type_input, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsumPath::test_path_type_input_internal_trace, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsumPath::test_path_type_input_invalid, test/torch_np/numpy_tests/core/test_einsum.py::TestEinsumPath::test_spaces, test/torch_np/numpy_tests/core/test_einsum.py::TestMisc::test_overlap
2025-06-01T21:52:02.7243500Z 
2025-06-01T21:52:04.6894240Z 
2025-06-01T21:52:04.6895280Z functorch/test_ops 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_2.2_d7aae94608b3ba31_.log
2025-06-01T21:52:04.8023820Z Running 4980 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_binary_cross_entropy_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rdiv___cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sparse_sampled_addmm_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_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_ndtri_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_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unsafe_split_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_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_vstack_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_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_block_diag_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_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bucketize_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_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fliplr_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_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_full_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_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_binary_return_by_ref_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_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lu_unpack_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_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_minimum_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_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nextafter_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_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_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_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_depthwise_with_bias_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_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_grid_sample_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_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_instance_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_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_reshape_as_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_resolve_neg_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_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_short_functorch_no_channels_last_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_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_exponential_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_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_kaiser_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_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_as_strided_copy_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_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atan_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_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bfloat16_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_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_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_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_rfftn_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_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_igamma_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_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lstsq_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_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_norm_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_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linspace_tensor_overload_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_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_max_pool1d_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_avg_pool1d_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_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv1d_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_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_dropout_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_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_feature_alpha_dropout_with_train_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_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_bicubic_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_nearest_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_layer_norm_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_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_mse_loss_functorch_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_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_reciprocal_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_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resolve_neg_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_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_entr_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_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_log_ndtr_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_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_xlog1py_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_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_tensor_with_scalar_list_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_T_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_T_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_broadcast_to_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_broadcast_to_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_conj_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_contiguous_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_diagonal_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_hsplit_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_split_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_split_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_list_return_vsplit_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_vsplit_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_mH_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_mH_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_mT_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_movedim_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_movedim_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_narrow_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_permute_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_permute_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_positive_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_positive_grad_op_vjp_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_real_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_reshape_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_conj_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_transpose_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_transpose_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unfold_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_as_complex_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_as_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_as_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__batch_norm_with_update_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__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addcdiv_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_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fliplr_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_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isnan_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_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_tensorinv_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_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_cumprod_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_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_native_batch_norm_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_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_dropout3d_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_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_embedding_functorch_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_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hardshrink_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_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_area_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_linear_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_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_layer_norm_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_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_local_response_norm_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_grad_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_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pad_reflect_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_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_normal_number_mean_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_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polygamma_polygamma_n_4_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_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_renorm_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_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_add_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_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_blackman_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_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_scaled_modified_bessel_k0_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_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_shifted_chebyshev_polynomial_u_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_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_std_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_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unfold_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_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_NumpyCubeAutogradFunction_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_as_strided_scatter_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_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_digamma_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_int_cpu_float32, 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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_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_matrix_norm_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_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logspace_tensor_overload_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_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_lu_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_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_avg_pool3d_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_rad2deg_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__segment_reduce_offsets_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_grid_sampler_2d_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_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_eigh_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_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_cumsum_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_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_msort_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_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_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_avg_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_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv_transpose1d_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_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_embedding_bag_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_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_area_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_bilinear_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_kl_div_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_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_local_response_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_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_unpool2d_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_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_multi_margin_loss_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_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pad_reflect_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_poisson_nll_loss_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_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_soft_margin_loss_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_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softplus_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_tanhshrink_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_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rad2deg_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_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_blackman_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_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_chebyshev_polynomial_t_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_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_i1e_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_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_shifted_chebyshev_polynomial_u_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_xlog1py_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_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_CubeGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ForwardHasDefaultArgsAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_MulGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyCubeAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyCubeNotComposableAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyExpMarkDirtyAutogradFunction_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_NumpySortAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SelectAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SelectGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SortGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_T_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ZeroGradientsGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmatmul___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmod___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmul___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rpow___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__batch_norm_with_update_cpu_float32, 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__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__chunk_cat_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__native_batch_norm_legit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__segment_reduce_offsets_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__unsafe_masked_index_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__upsample_bilinear2d_aa_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_abs_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_add_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addbmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcdiv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcmul_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_alias_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_all_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_aminmax_cpu_float32, 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_any_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_arange_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_argmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argwhere_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_copy_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_as_strided_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_asin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_asinh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atan2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atan_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bfloat16_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bfloat16_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bucketize_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_cat_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cauchy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdist_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cfloat_cpu_float32, 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_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_chalf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_max_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_min_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_column_stack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_conj_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_conj_physical_cpu_float32, 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_cos_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_count_nonzero_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cummax_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_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumsum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_deg2rad_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_diag_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diag_embed_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagflat_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diff_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dist_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_floor_rounding_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_no_rounding_mode_cpu_float32, 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_double_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_double_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dsplit_cpu_float64, 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_einsum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_like_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_empty_strided_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_equal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_as_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expm1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_eye_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftn_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_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfft_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_ifft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flatten_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flip_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fliplr_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_floor_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_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_frexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_full_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_full_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_geqrf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gradient_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hypot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_i0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_igamma_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_igammac_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_add_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_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_put_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_amin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_select_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isclose_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_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isinf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isnan_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isneginf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_item_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_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_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_kron_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_le_cpu_float32, 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_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_det_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_diagonal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eig_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigvalsh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_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_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_factor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_norm_cpu_float32, 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_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_singular_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_slogdet_cpu_float64, 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_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_svdvals_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_tensorinv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log1p_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_normal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_cpu_float32, 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_logaddexp2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logcumsumexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_or_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_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_xor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logspace_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logspace_tensor_overload_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logsumexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_long_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_long_functorch_no_channels_last_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_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_unpack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mH_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_amin_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_argmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_cumprod_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_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_fill_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_fill_functorch_Scalar_only_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_log_softmax_cpu_float64, 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_float32, 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_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_normalize_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_softmax_cpu_float64, 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_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matrix_exp_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_binary_cpu_float64, 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_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_reduction_no_dim_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_max_reduction_with_dim_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_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_median_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_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_with_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_movedim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_msort_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mul_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_5_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nan_to_num_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_batch_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_layer_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ne_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_empty_strided_cpu_float64, 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_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nextafter_cpu_float64, 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_avg_pool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool1d_cpu_float64, 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_adaptive_max_pool2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool3d_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_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_avg_pool1d_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_avg_pool2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_avg_pool3d_cpu_float64, 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_binary_cross_entropy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_celu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_cpu_float32, 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_stride_groups_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_no_bias_cpu_float32, 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_padding_no_bias_cpu_float64, 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_stride_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_with_bias_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_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cosine_embedding_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout3d_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_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_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_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_fractional_max_pool2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_fractional_max_pool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_gaussian_nll_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_grid_sample_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_group_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardtanh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hinge_embedding_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_area_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_nearest-exact_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_nearest_cpu_float32, 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_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_l1_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_layer_norm_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_linear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_local_response_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_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_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool1d_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_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_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mse_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mse_loss_functorch_cpu_float32, 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_multilabel_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_normalize_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_constant_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_reflect_cpu_float64, 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_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_replicate_negative_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pixel_shuffle_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_poisson_nll_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_prelu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_relu6_cpu_float64, 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_relu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_rms_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_rrelu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_selu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softmin_with_dtype_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softshrink_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softsign_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_with_distance_loss_cpu_float32, 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_nn_functional_upsample_bilinear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_upsample_nearest_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nonzero_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_fro_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_norm_inf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_in_place_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_number_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_like_cpu_float64, 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_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pca_lowrank_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_permute_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_permute_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_0_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_float64, 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_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_4_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_put_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_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_qr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_quantile_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rad2deg_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_randint_cpu_float64, 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_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_real_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_renorm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_repeat_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_repeat_interleave_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_as_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_resolve_conj_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_cpu_float64, 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_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rsqrt_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_add_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_select_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sgn_cpu_float32, 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_float32, 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_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sign_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_bartlett_cpu_float64, 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_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_hann_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_kaiser_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_nuttall_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sinc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sinh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_slice_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_softmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_softmax_with_dtype_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sort_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_mm_reduce_cpu_float32, 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_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_j1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_y0_cpu_float32, 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_chebyshev_polynomial_t_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_u_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_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i0e_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i1e_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_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_i0_cpu_float64, 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_k0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_ndtri_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_polygamma_special_polygamma_n_0_cpu_float64, 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_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_scaled_modified_bessel_k1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_u_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_v_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_xlog1py_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_square_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_multiple_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_mean_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_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sub_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_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_svd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tanh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tensor_split_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_to_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_to_sparse_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_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_topk_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_torch_ops_aten__safe_softmax_default_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trace_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapezoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapz_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_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_true_divide_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unfold_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unfold_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_uniform_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_consecutive_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsqueeze_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_mean_unbiased_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_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_as_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_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vstack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_where_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_xlogy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zero__cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_char_functorch_no_channels_last_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_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_float_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_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ScaleGradGenVmapAutogradFunction_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_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rdiv___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___rmul___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__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_alias_copy_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_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_any_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_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bmm_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_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_div_trunc_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_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_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_erfinv_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_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_exponential_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_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_histc_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_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_hypot_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_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_select_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_isfinite_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_pinv_hermitian_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_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_vecdot_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_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logdet_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_adaptive_max_pool3d_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_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_strided_padding_dilation_with_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_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool1d_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_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_constant_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_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pdist_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_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_rrelu_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_softplus_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_softsign_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_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_nuc_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_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_permute_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_polygamma_polygamma_n_0_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_amin_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_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sign_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_hann_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_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_chebyshev_polynomial_w_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_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_squeeze_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_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_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_take_along_dim_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_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_trapezoid_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_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_true_divide_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_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unfold_copy_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_unsqueeze_copy_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_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_view_as_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_has_batch_rule_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_zeros_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_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_ldl_solve_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_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_norm_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_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_movedim_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_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_alpha_dropout_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_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_strided_padding_dilation_no_bias_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_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_cosine_similarity_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_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_embedding_bag_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_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_gelu_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_hinge_embedding_loss_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_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_nearest-exact_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_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pairwise_distance_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_relu_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_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ones_like_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_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_pca_lowrank_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_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_quantile_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_reciprocal_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_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sign_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_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_y1_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_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_i0e_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_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_SortGenVmapAutogradFunction_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___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bmm_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_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_char_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_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_i0_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_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_4inputs_with_extra_args_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_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_ldl_factor_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_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_softmin_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_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_max_binary_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_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nanquantile_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_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_avg_pool3d_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_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_depthwise_with_bias_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_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_with_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_strided_padding_dilation_with_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_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_embedding_bag_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_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_bilinear_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_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_scaled_dot_product_attention_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_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_kaiser_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_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unfold_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_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__segment_reduce_lengths_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__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_erfc_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_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_irfft_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_max_pool2d_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_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_avg_pool2d_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_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_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_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_cosine_similarity_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_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_layer_norm_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_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_upsample_bilinear_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_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ops_aten_index_put_functorch_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_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unique_consecutive_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_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__chunk_cat_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_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__upsample_bilinear2d_aa_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_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_contiguous_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_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_floor_divide_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_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lstsq_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_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logsumexp_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_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_max_binary_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_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_new_ones_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_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_binary_cross_entropy_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_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_stride_depthwise_with_bias_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_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_dropout2d_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_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_hinge_embedding_loss_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_nearest-exact_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_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool1d_grad_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_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pad_replicate_negative_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_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_silu_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_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softsign_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_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_triplet_margin_loss_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_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_modified_bessel_i1_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_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvmapjvp_linalg_solve_cpu
2025-06-01T21:52:04.9112560Z 
2025-06-01T21:52:04.9112720Z Running inductor/test_codegen_triton 1/1 ... [2025-06-01 21:52:04.772138]
2025-06-01T21:52:04.9113020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:52:04.9113840Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_codegen_triton.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:52:04.772471]
2025-06-01T21:52:06.9281410Z Running export/test_passes 1/1 ... [2025-06-01 21:52:06.927935]
2025-06-01T21:52:06.9282200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:52:06.9284050Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'export/test_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:52:06.928240]
2025-06-01T21:52:09.1090410Z 
2025-06-01T21:52:09.1090970Z inductor/test_codegen_triton 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codegen_triton_1.1_3dab48bfdb341bf6_.log
2025-06-01T21:52:09.1091730Z Running 1 items in this shard: test/inductor/test_codegen_triton.py::TestCodegenTriton::test_config_of_sizearg
2025-06-01T21:52:09.1092050Z 
2025-06-01T21:52:11.1170780Z Running test_openmp 1/1 ... [2025-06-01 21:52:11.116880]
2025-06-01T21:52:11.1171470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:52:11.1181070Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_openmp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:52:11.117169]
2025-06-01T21:52:16.4444480Z 
2025-06-01T21:52:16.4445220Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_679ebfc20ac1e28e_.log
2025-06-01T21:52:16.4446190Z Running 2 items in this shard: test/test_openmp.py::TestOpenMP_ParallelFor::test_n_threads, test/test_openmp.py::TestOpenMP_ParallelFor::test_one_thread
2025-06-01T21:52:16.4446600Z 
2025-06-01T21:52:17.6121430Z 
2025-06-01T21:52:17.6122660Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_9dfb4d9bc365c9d8_.log
2025-06-01T21:52:17.6128210Z Running 25 items in this shard: test/export/test_passes.py::TestPasses::test_constant_folding_pass, test/export/test_passes.py::TestPasses::test_custom_obj_tuple_out, test/export/test_passes.py::TestPasses::test_fakify_script_objects, test/export/test_passes.py::TestPasses::test_fakify_script_objects_properly_handle_containers, test/export/test_passes.py::TestPasses::test_functionalization_with_view_copy, test/export/test_passes.py::TestPasses::test_inline_, test/export/test_passes.py::TestPasses::test_math_ops, test/export/test_passes.py::TestPasses::test_move_to_device_pass, test/export/test_passes.py::TestPasses::test_predispatch_autocast, test/export/test_passes.py::TestPasses::test_predispatch_autocast_and_set_grad, test/export/test_passes.py::TestPasses::test_predispatch_set_grad, test/export/test_passes.py::TestPasses::test_remove_auto_functionalized_pass, test/export/test_passes.py::TestPasses::test_remove_auto_functionalized_pass_tuple, test/export/test_passes.py::TestPasses::test_remove_effect_token_kwargs, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_cond, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_item, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_nonzero, test/export/test_passes.py::TestPasses::test_runtime_assert_multiple_dims, test/export/test_passes.py::TestPasses::test_runtime_assert_one_dim, test/export/test_passes.py::TestPasses::test_runtime_assert_some_dims_not_specified, test/export/test_passes.py::TestPasses::test_runtime_assert_some_inps_not_used, test/export/test_passes.py::TestPasses::test_sequential_split, test/export/test_passes.py::TestPasses::test_sequential_split_graph, test/export/test_passes.py::TestPasses::test_view_to_view_copy, test/export/test_passes.py::TestPasses::test_views_op_having_view_copy
2025-06-01T21:52:17.6133040Z 
2025-06-01T21:52:18.6361160Z Running test_module_tracker 1/1 ... [2025-06-01 21:52:18.635924]
2025-06-01T21:52:18.6361910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:52:18.6364130Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_module_tracker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:52:18.636221]
2025-06-01T21:52:19.8031660Z Running inductor/test_block_analysis 1/1 ... [2025-06-01 21:52:19.802977]
2025-06-01T21:52:19.8031990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:52:19.8034080Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_block_analysis.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:52:19.803305]
2025-06-01T21:52:20.9093280Z 
2025-06-01T21:52:20.9094020Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_5eb7e30937d41885_.log
2025-06-01T21:52:20.9095110Z Running 3 items in this shard: test/test_module_tracker.py::TestModuleTracker::test_bw_detection, test/test_module_tracker.py::TestModuleTracker::test_confused_hierarchy, test/test_module_tracker.py::TestModuleTracker::test_module_hierarchy
2025-06-01T21:52:20.9095750Z 
2025-06-01T21:52:22.8840600Z Running export/test_db 1/1 ... [2025-06-01 21:52:22.883857]
2025-06-01T21:52:22.8841330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:52:22.8843550Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'export/test_db.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:52:22.884156]
2025-06-01T21:52:24.1232450Z 
2025-06-01T21:52:24.1233380Z inductor/test_block_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_block_analysis_1.1_39d6daf0bee53596_.log
2025-06-01T21:52:24.1236680Z Running 10 items in this shard: test/inductor/test_block_analysis.py::BlockAnalysisTest::test_affine_identity_stride_3_symbol2_expr2, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_affine_identity_stride_4_symbol1_expr1, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_affine_identity_stride_5_symbol0_expr0, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_index_with_dynamic_shapes, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_mod_div_identity_dims0_strides0_symbol0_expr0, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_mod_div_identity_dims1_strides1_symbol1_expr1, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_mod_div_identity_dims2_strides2_symbol2_expr2, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_subexpr_identity_symbol0_expr0_subexpr0, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_subexpr_identity_symbol1_expr1_subexpr1, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_subexpr_identity_symbol2_expr2_subexpr2
2025-06-01T21:52:24.1239470Z 
2025-06-01T21:52:26.1789790Z Running dynamo/test_config 1/1 ... [2025-06-01 21:52:26.178766]
2025-06-01T21:52:26.1790530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:52:26.1793510Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:52:26.179077]
2025-06-01T21:52:26.3823400Z 
2025-06-01T21:52:26.3834900Z export/test_db 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_db_1.1_7459bcafb126700b_.log
2025-06-01T21:52:26.3927920Z Running 36 items in this shard: test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_dynamic_shape_round, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_model_attr_mutation, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_optional_input, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_unsupported_operator, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_assume_constant_result, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_autograd_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_class_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_class_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_nested_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_nonlocal_variables, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_closed_over_variable, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_operands, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_predicate, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_constrain_as_size_example, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_constrain_as_value_example, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_decorator, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dictionary, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_assert, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_constructor, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_if_guard, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_map, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_slicing, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_view, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_fn_with_kwargs, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_list_contains, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_list_unpack, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_nested_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_null_context_manager, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_pytree_flatten, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_scalar_output, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_specialized_attribute, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_static_for_loop, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_static_if, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_tensor_setattr, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_type_reflection_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_user_input_mutation
2025-06-01T21:52:26.3935990Z 
2025-06-01T21:52:28.4644270Z Running inductor/test_inplace_padding 1/1 ... [2025-06-01 21:52:28.464250]
2025-06-01T21:52:28.4645090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:52:28.4647930Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_inplace_padding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:52:28.464561]
2025-06-01T21:52:28.8890870Z 
2025-06-01T21:52:28.8970830Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_e03c43879324b436_.log
2025-06-01T21:52:28.8995430Z Running 5 items in this shard: test/dynamo/test_config.py::ConfigTests::test_automatic_dynamic, test/dynamo/test_config.py::ConfigTests::test_config_compile_ignored, test/dynamo/test_config.py::ConfigTests::test_config_hash, test/dynamo/test_config.py::ConfigTests::test_no_assume_static_by_default, test/dynamo/test_config.py::ConfigTests::test_no_automatic_dynamic
2025-06-01T21:52:28.8998310Z 
2025-06-01T21:52:30.8924340Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-06-01 21:52:30.892218]
2025-06-01T21:52:30.8925560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:52:30.8926450Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'higher_order_ops/test_invoke_quant.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:52:30.892516]
2025-06-01T21:52:32.7064650Z 
2025-06-01T21:52:32.7065870Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_967c0ea776e91580_.log
2025-06-01T21:52:32.7066370Z 
2025-06-01T21:52:34.7131940Z Running test_compile_benchmark_util 1/1 ... [2025-06-01 21:52:34.712984]
2025-06-01T21:52:34.7132740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:52:34.7135140Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_compile_benchmark_util.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:52:34.713272]
2025-06-01T21:52:36.9260140Z 
2025-06-01T21:52:36.9261580Z 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_ba495b0d82bee652_.log
2025-06-01T21:52:36.9262350Z Running 1 items in this shard: test/test_compile_benchmark_util.py::TestCompileBenchmarkUtil::test_training_and_inference
2025-06-01T21:52:36.9262850Z 
2025-06-01T21:52:38.1700350Z 
2025-06-01T21:52:38.1701460Z higher_order_ops/test_invoke_quant 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_quant_1.1_17bfafcb53ddb3f5_.log
2025-06-01T21:52:38.1705290Z Running 14 items in this shard: test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantEager::test_construct_inline, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantEager::test_inline, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantEager::test_multiple, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantEager::test_simple, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantAotEager::test_construct_inline, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantAotEager::test_inline, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantAotEager::test_multiple, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantAotEager::test_simple, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantInductor::test_construct_inline, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantInductor::test_inline, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantInductor::test_multiple, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantInductor::test_pattern_matching, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantInductor::test_prologue, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantInductor::test_simple
2025-06-01T21:52:38.1708570Z 
2025-06-01T21:52:39.1170040Z Running test_jit 1/1 ... [2025-06-01 21:52:39.116810]
2025-06-01T21:52:39.1170730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:52:39.1172790Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_jit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:52:39.117100]
2025-06-01T21:52:40.3147520Z Running dynamo/test_repros 1/1 ... [2025-06-01 21:52:40.314573]
2025-06-01T21:52:40.3147880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:52:40.3149690Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_repros.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:52:40.314855]
2025-06-01T21:53:11.5968400Z 
2025-06-01T21:53:11.5968920Z test_meta 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_2.2_2e1f41f4b81a369c_.log
2025-06-01T21:53:12.0036120Z Running 20499 items in this shard: test/test_meta.py::TestMetaConverter::test_channels_last, test/test_meta.py::TestMetaConverter::test_channels_last_leaf, test/test_meta.py::TestMetaConverter::test_channels_last_non_leaf, test/test_meta.py::TestMetaConverter::test_empty_strided_non_dense_leaf, test/test_meta.py::TestMetaConverter::test_imag, test/test_meta.py::TestMetaConverter::test_non_leaf_torture, test/test_meta.py::TestMetaConverter::test_view_dtype, test/test_meta.py::TestMetaConverter::test_view_of_view_of_leaf, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rdiv___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__refs__conversions_polar_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_atan2_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_div_trunc_rounding_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_fmax_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_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_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_isclose_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_logical_and_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_mul_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_pow_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_rsub_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_atan2_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_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_copysign_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_div_no_rounding_mode_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_float_power_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_floor_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_fmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_ge_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_jiterator_binary_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_logical_or_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_logical_xor_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_maximum_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_ne_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_special_chebyshev_polynomial_v_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_hermite_polynomial_h_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_laguerre_polynomial_l_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_legendre_polynomial_p_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_zeta_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_sub_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_xlogy_cpu_float32, test/test_meta.py::TestMetaCPU::test_cdist_forward_cpu, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmatmul___cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmatmul___cpu_float64, 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_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmod___cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmul___cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmul___cpu_float32, 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, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rsub___cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rsub___cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rsub___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rsub___cpu_int32, 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___rxor___cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__batch_norm_with_update_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__batch_norm_with_update_cpu_float64, 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_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__chunk_cat_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__chunk_cat_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__chunk_cat_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__chunk_cat_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__chunk_cat_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__chunk_cat_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__chunk_cat_cpu_uint8, 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_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_abs_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_abs_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_abs_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_acos_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_asin_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_asin_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_asin_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_asin_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_atan_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_atan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_atan_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_atan_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_atan_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_atan_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace__foreach_atan_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_angle_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_angle_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_angle_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_angle_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_angle_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_angle_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_any_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_any_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_any_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_any_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_any_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_any_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_any_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argwhere_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argwhere_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argwhere_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argwhere_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argwhere_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argwhere_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_partial_views_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_partial_views_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_partial_views_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_partial_views_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_partial_views_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_partial_views_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_partial_views_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asin_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asin_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asin_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asin_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asin_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asin_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asinh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asinh_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asinh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asinh_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asinh_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asinh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumsum_cpu_uint8, 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_float32, 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_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_int64, 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_float64, 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_cpu_int8, 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_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_complex32, 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_float64, 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_int32, 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_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_bool, 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_complex64, 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_int16, 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_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_uint8, 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_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_float16, 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_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_int64, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dist_cpu_complex64, 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_div_floor_rounding_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_bool, 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_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_no_rounding_mode_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_int64, 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_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_trunc_rounding_cpu_float64, 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_int64, 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_float16, 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_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dot_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_float64, 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_double_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_bfloat16, 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_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_float64, 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_dstack_cpu_int8, 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_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_float64, 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_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_like_cpu_bfloat16, 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_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_like_cpu_float64, 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_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_permuted_cpu_bfloat16, 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_complex32, 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_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_strided_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_strided_cpu_bool, 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_complex64, 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_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_empty_strided_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eq_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eq_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eq_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eq_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eq_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eq_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_equal_cpu_complex128, 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_erf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_uint8, 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_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_int64, 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_float32, 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_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_cpu_complex64, 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_expm1_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expm1_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expm1_cpu_float16, 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_uint8, 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_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_int64, 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_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft2_cpu_float32, 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_int16, 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_complex64, 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_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft_cpu_int8, 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_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftn_cpu_float64, 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_uint8, 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_complex64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_triangular_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_triangular_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_svd_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_svd_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_svd_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_svdvals_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_svdvals_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_select_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_softmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_uint8, 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_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_int8, 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_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_var_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_var_cpu_int32, 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_uint8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_with_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_with_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_median_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_median_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_median_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_median_cpu_int32, 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_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cpu_int16, 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_list_of_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cpu_int8, 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_float16, 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_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_reduction_no_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_reduction_no_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_reduction_no_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_reduction_no_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_reduction_with_dim_cpu_bool, 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_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_reduction_with_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_reduction_with_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_min_reduction_with_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_minimum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_minimum_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_minimum_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_minimum_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_minimum_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_minimum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mm_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mm_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mode_cpu_bool, 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_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mode_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mode_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_movedim_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_movedim_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_movedim_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_msort_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_msort_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_msort_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_msort_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_msort_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mul_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mul_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mul_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_multinomial_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_multinomial_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mv_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mv_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mv_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mv_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mv_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nan_to_num_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nan_to_num_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nan_to_num_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nan_to_num_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nan_to_num_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nan_to_num_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nanmean_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nanmedian_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nanmedian_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nanquantile_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nansum_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nansum_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nansum_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nansum_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_narrow_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_native_batch_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_native_batch_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_native_batch_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_native_dropout_backward_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_native_dropout_backward_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_native_dropout_backward_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_native_dropout_backward_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_native_layer_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_native_layer_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ne_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ne_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ne_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ne_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ne_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ne_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_neg_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_neg_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_neg_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_neg_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_new_empty_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_new_empty_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_new_empty_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_new_empty_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_new_empty_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_new_empty_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_new_empty_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_addcdiv_cpu_bfloat16, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_uint8, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_int32, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_int16, 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_amax_cpu_int8, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_float16, 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_aminmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int32, 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_float64, 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_arange_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_float64, 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_argwhere_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_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_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_float32, 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_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_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_float32, 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_atan2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_bool, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_int64, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_complex128, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_int8, 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_left_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_left_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_bfloat16, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_int64, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_complex64, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int16, 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_complex64, 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_int8, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_uint8, 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_float32, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cauchy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cauchy_cpu_float64, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_float16, 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_int32, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_complex64, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int32, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_int32, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_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_complex64, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_complex_cpu_float32, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_int8, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_uint8, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_complex128, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_complex64, 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_cross_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_int64, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_complex128, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_bool, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_int16, 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_diagonal_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_complex128, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_float16, 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_diff_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_complex128, 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_div_floor_rounding_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_int16, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_int64, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_bfloat16, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_int32, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_complex32, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_complex64, 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_int64, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_float64, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_bfloat16, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_float64, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_exponential_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float8_e4m3fn, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_complex64, 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_fft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_int16, 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_hfft2_cpu_int8, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_float32, 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_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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_complex64, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_bool, 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_ifftshift_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_float64, 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_int8, 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_ihfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_int8, 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_irfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_int64, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_int32, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_int64, 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_fft_rfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_float32, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_float16, 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_float16, 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_flip_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_complex128, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_uint8, 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_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_float64, 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_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_cpu_bfloat16, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_int32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_frexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_like_cpu_bfloat16, 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, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_isnan_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_isnan_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_isnan_cpu_float64, 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_isnan_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_isneginf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_isposinf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_isposinf_cpu_float64, 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_isposinf_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_isposinf_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_isreal_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_binary_return_by_ref_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_unary_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_unary_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_unary_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_unary_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_unary_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_int16, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_kthvalue_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_kthvalue_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lcm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_uint8, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_le_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lerp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_lerp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lerp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cholesky_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cholesky_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cholesky_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cholesky_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cholesky_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cholesky_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cross_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cross_cpu_complex64, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cross_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_det_cpu_complex128, 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_diagonal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eig_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigvals_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigvalsh_cpu_complex128, 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_inv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_inv_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_inv_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_factor_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_factor_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_factor_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lstsq_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lstsq_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lstsq_grad_oriented_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_solve_cpu_float32, 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_complex64, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_power_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_rank_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_rank_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_rank_hermitian_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_rank_hermitian_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_rank_hermitian_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_subgradients_at_zero_cpu_float16, 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_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_pinv_hermitian_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_pinv_hermitian_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_pinv_hermitian_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_pinv_singular_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_pinv_singular_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_qr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_qr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_qr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_qr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_slogdet_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_slogdet_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_cpu_complex64, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svd_cpu_complex128, 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_svdvals_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svdvals_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorinv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorinv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorsolve_cpu_complex64, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_uint8, 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_vecdot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_bfloat16, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_float64, 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_cpu_uint8, 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_float32, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_complex64, 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_log1p_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_bool, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_float32, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_int64, 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_normal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_cpu_bfloat16, 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_complex128, 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_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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp2_cpu_float16, 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_logaddexp_cpu_complex64, 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_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_logcumsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logdet_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logdet_cpu_complex64, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_complex128, 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_or_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_complex64, 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_logical_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_int16, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_float16, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_bfloat16, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_complex128, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_float64, 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_lt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_unpack_cpu_complex128, 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_bool, 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_int32, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_bfloat16, 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_argmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_complex64, 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_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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_int64, 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_log_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_log_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logaddexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logaddexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_complex128, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_bfloat16, 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_std_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_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_sum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_float64, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_bfloat16, 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_int64, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_matrix_exp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_matrix_exp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_matrix_exp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_pool2d_with_indices_backward_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_pool2d_with_indices_backward_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_pool2d_with_indices_backward_cpu_float64, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_bfloat16, 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_float64, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_float64, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_uint8, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_float16, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_multinomial_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_multinomial_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_multinomial_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_int32, 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_bfloat16, 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_int8, 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_float32, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanquantile_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_batch_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_batch_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_layer_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_layer_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_strided_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_new_full_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_int32, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nextafter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_avg_pool2d_cpu_float32, 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_float16, 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_bfloat16, 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_pool2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_max_pool2d_cpu_float32, 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_adaptive_max_pool3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_max_pool3d_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_float16, 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_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_bfloat16, 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_pool2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool2d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool3d_cpu_float64, 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_float16, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_bilinear_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_bilinear_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_bilinear_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_bilinear_cpu_uint8, 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_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_celu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_channel_shuffle_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_channel_shuffle_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_channel_shuffle_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_channel_shuffle_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_channel_shuffle_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_channel_shuffle_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_channel_shuffle_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_channel_shuffle_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_channel_shuffle_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv1d_cpu_float32, 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_complex64, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv3d_cpu_float64, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv_transpose1d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv_transpose1d_cpu_int64, 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_transpose2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv_transpose2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_conv_transpose3d_cpu_complex128, 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_cosine_embedding_loss_cpu_bool, 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_float64, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_cosine_similarity_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_cosine_similarity_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_cross_entropy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_cross_entropy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_ctc_loss_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_dropout2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_dropout2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_dropout2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_dropout3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_dropout_cpu_float16, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_elu_cpu_float64, 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_bag_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_embedding_bag_cpu_float64, 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_with_train_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_fractional_max_pool2d_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_grid_sample_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_group_norm_cpu_bfloat16, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_hardshrink_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_hardshrink_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_hardsigmoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_hardswish_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_hardswish_cpu_float32, 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, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_unfold_cpu_complex64, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_upsample_nearest_cpu_float32, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_static_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_static_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_static_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_static_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nonzero_static_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_cpu_float16, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_fro_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_inf_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_inf_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_nuc_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_nuc_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_norm_nuc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_normal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_normal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_normal_in_place_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_normal_in_place_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_normal_in_place_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_normal_in_place_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_normal_number_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_normal_number_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_normal_number_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_like_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ones_like_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ormqr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_ormqr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ormqr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_outer_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_outer_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_outer_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_outer_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_outer_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_outer_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_outer_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_pca_lowrank_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_pca_lowrank_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_pca_lowrank_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_complex128, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_pinverse_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_pinverse_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_int16, 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_int8, 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_2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_bool, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_complex32, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_quantile_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_float32, 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_rand_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_float32, 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_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_float16, 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_randint_like_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_complex128, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_uint8, 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_remainder_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_int16, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_float32, 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_reshape_cpu_int8, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_float64, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_int16, 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_resize_as__cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_int8, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_uint8, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_bool, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch__scaled_mm_cpu_float8_e4m3fn, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch__scaled_mm_cpu_float8_e5m2, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_triangular_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_triangular_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_triangular_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_float64, 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_tril_indices_cpu_int64, 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_float64, 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_true_divide_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_uniform_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_uniform_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_uniform_cpu_float64, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_uint8, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_uint16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_uint64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unravel_index_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unravel_index_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unravel_index_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_int16, 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_chunk_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_float16, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_unbiased_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_unbiased_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_complex_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_complex_cpu_float64, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_real_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_vsplit_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_vsplit_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_vsplit_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_vsplit_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vsplit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_vsplit_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_vsplit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_vstack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vstack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_where_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_where_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_where_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_where_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_where_cpu_complex64, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_int16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_int32, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_complex64, 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_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_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_uint8, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_int16, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_int8, 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_float16, 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_int32, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_uint8, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_bfloat16, 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_block_diag_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_int16, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_bool, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_shapes_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_float16, 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_tensors_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_int8, 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_int32, 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_float32, 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_byte_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_float16, 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_byte_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cauchy_cpu_bfloat16, 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_cdouble_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_complex128, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_float32, 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_ceil_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_float32, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_bool, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_int16, 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_chalf_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_int64, 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_chunk_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_chunk_cpu_float16, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_max_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_max_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_max_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_max_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clamp_min_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_clone_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_complex_cpu_float32, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_float32, 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_cpu_int64, 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_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_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_physical_cpu_int16, 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_complex64, 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_float32, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_int8, 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_int8, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_corrcoef_cpu_bfloat16, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_bfloat16, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cov_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cov_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cov_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_uint8, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_int8, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_trunc_rounding_cpu_float16, 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_complex128, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_complex128, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_bool, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_int32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_expm1_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_expm1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_float8_e4m3fn, test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_float8_e5m2, test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_eye_cpu_int64, 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_complex128, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_flip_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_flip_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_flip_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fliplr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_fliplr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fliplr_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_fliplr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fliplr_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_flipud_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_flipud_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_flipud_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_flipud_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_flipud_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_power_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_power_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_power_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_power_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_power_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_power_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_power_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_power_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_float_power_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_floor_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_floor_divide_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_floor_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_floor_divide_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_floor_divide_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_floor_divide_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_floor_divide_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_floor_divide_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_fmod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_frac_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_frac_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_frac_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_frexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_frexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_frexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_full_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_full_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_full_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_full_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_full_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_full_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_full_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_full_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_full_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_full_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_full_like_cpu_uint16, test/test_meta.py::TestMetaCPU::test_meta_outplace_full_like_cpu_uint32, test/test_meta.py::TestMetaCPU::test_meta_outplace_gather_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_gather_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_gather_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_gcd_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_gcd_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_ge_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_ge_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_ge_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_ge_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_ge_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_ge_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_geometric_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_geometric_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_geometric_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_geqrf_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_geqrf_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_geqrf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_gradient_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_gradient_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_gradient_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_gradient_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_grid_sampler_2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_grid_sampler_2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_gt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_gt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_gt_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_gt_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_gt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_half_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_half_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_half_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_half_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_half_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_half_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_half_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_half_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_heaviside_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_heaviside_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_heaviside_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_heaviside_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_power_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_power_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_rank_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_rank_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_rank_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_rank_hermitian_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_rank_hermitian_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_multi_dot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_multi_dot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_multi_dot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_multi_dot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_pinv_hermitian_cpu_float32, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_pinv_singular_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_qr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_qr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_qr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_slogdet_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_slogdet_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_slogdet_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_ex_cpu_complex128, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_svd_cpu_complex64, 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_svdvals_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_tensorinv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_tensorinv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_tensorsolve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_tensorsolve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_tensorsolve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vander_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vander_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_vander_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_tensor_overload_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_tensor_overload_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_tensor_overload_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_tensor_overload_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_tensor_overload_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_linspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_log10_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_log1p_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log1p_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_log1p_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_log1p_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_float32, 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_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_int8, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_unpack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_median_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_norm_cpu_float32, 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_normalize_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_normalize_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_normalize_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_float64, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_var_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_var_cpu_float32, 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_masked_var_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_matrix_exp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_matrix_exp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_matrix_exp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_matrix_exp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_matrix_exp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_binary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_binary_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_binary_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_binary_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_binary_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_binary_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_pool2d_with_indices_backward_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_pool2d_with_indices_backward_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_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_no_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_no_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_no_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_no_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_with_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_with_dim_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_with_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_with_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_with_dim_cpu_int16, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_reduction_with_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_maximum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_maximum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_maximum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_maximum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_bool, 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_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_int32, 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_bfloat16, 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_float32, 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_meshgrid_variadic_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_binary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_binary_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_binary_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_binary_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_no_dim_cpu_int16, 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_uint8, 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_bool, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_with_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_bfloat16, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_msort_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_multinomial_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mv_cpu_complex64, 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_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_float64, 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_1_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_int16, 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_float32, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_uint8, 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_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nanmean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nanmean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nanmean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nanmedian_cpu_float64, 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_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nansum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nansum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nansum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nansum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_copy_cpu_bool, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_narrow_cpu_int8, 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_float16, 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_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_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_native_dropout_backward_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_native_layer_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_native_layer_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_native_layer_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_ne_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_ne_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_ne_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_ne_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_neg_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_neg_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_neg_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_neg_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_neg_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_cpu_float64, 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_uint8, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_strided_cpu_complex128, 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_float32, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_empty_strided_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_full_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_full_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_full_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_new_full_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pairwise_distance_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pairwise_distance_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pairwise_distance_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pdist_cpu_float32, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_shuffle_cpu_float32, 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_shuffle_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_unshuffle_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_std_mean_cpu_complex64, 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_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_std_mean_unbiased_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_std_mean_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_std_unbiased_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_std_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_stft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_stft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_stft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sub_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sub_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_cpu_complex128, 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_cpu_int8, 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_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_to_size_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_to_size_cpu_float32, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_sum_to_size_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_svd_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_svd_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_svd_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_svd_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_svd_lowrank_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_svd_lowrank_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_t_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_along_dim_cpu_complex128, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_take_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tan_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_tanh_cpu_int16, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensor_split_cpu_complex64, 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_int32, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensordot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensordot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tensordot_cpu_int16, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_tile_cpu_float16, 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_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_cpu_int64, 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_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_to_sparse_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_topk_cpu_bfloat16, 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_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_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_meta.py::TestMetaCPU::test_meta_outplace_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_trace_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_trace_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_trace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_trace_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_trace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_transpose_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapezoid_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapezoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapezoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_trapezoid_cpu_int16, 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_trapezoid_cpu_uint8, 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_float64, 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_tril_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_tril_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_tril_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tril_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_tril_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_tril_indices_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_triu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_triu_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_triu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_triu_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_triu_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_triu_cpu_int8, 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_complex64, 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_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_true_divide_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_trunc_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_trunc_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_trunc_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_trunc_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_trunc_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unbind_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unflatten_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unflatten_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_unflatten_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unflatten_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unflatten_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unflatten_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_bool, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_int64, 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_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_uint16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unravel_index_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unravel_index_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unravel_index_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_float64, 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_complex64, 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_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int32, test/test_meta.py::TestMetaCPU::test_quantized_embedding_bag_cpu, test/test_meta.py::TestMetaCPU::test_segment_reduce_backward_cpu, test/test_meta.py::TestMetaCPU::test_stride_for_index_Tensor_cpu, test/test_meta.py::TestMetaCPU::test_triangular_solve_out_cpu
2025-06-01T21:53:12.5484940Z 
2025-06-01T21:53:13.6360520Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/1 ... [2025-06-01 21:53:13.635835]
2025-06-01T21:53:13.6361510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:53:13.6363320Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:53:13.636130]
2025-06-01T21:53:23.8003680Z 
2025-06-01T21:53:23.8004440Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_24456833c4d7d0ab_.log
2025-06-01T21:53:23.8386330Z Running 2458 items in this shard: test/test_jit.py::TestTracer::test_call_traced_fn_from_traced_module, test/test_jit.py::TestTracer::test_call_traced_module_from_traced_module, test/test_jit.py::TestTracer::test_canonicalize_tensor_iterator, test/test_jit.py::TestTracer::test_constant, test/test_jit.py::TestTracer::test_conv, test/test_jit.py::TestTracer::test_export_no_reorder, test/test_jit.py::TestTracer::test_force_outplace_check_fill, test/test_jit.py::TestTracer::test_force_outplace_check_zero, test/test_jit.py::TestTracer::test_ge, test/test_jit.py::TestTracer::test_ge_cuda, test/test_jit.py::TestTracer::test_ge_optimized, test/test_jit.py::TestTracer::test_ge_unoptimized, test/test_jit.py::TestTracer::test_index_put, test/test_jit.py::TestTracer::test_index_put_trace_with_view, test/test_jit.py::TestTracer::test_index_put_trace_without_view, test/test_jit.py::TestTracer::test_inplace_check, test/test_jit.py::TestTracer::test_inplace_copy, test/test_jit.py::TestTracer::test_inplace_copy_force_outplace, test/test_jit.py::TestTracer::test_inplace_flags, test/test_jit.py::TestTracer::test_inplace_transplant, test/test_jit.py::TestTracer::test_inplace_warn, test/test_jit.py::TestTracer::test_input_dict_checkTrace_mut, test/test_jit.py::TestTracer::test_input_dict_empty, test/test_jit.py::TestTracer::test_input_dict_empty_list, test/test_jit.py::TestTracer::test_input_dict_insertion_order, test/test_jit.py::TestTracer::test_input_dict_of_dicts, test/test_jit.py::TestTracer::test_input_dict_of_lists, test/test_jit.py::TestTracer::test_input_dict_recursive, test/test_jit.py::TestTracer::test_input_dict_remembers_keys, test/test_jit.py::TestTracer::test_input_dict_unify, test/test_jit.py::TestTracer::test_input_flatten, test/test_jit.py::TestTracer::test_input_list_mixed_type, test/test_jit.py::TestTracer::test_input_list_of_tuples, test/test_jit.py::TestTracer::test_input_list_toplevel_flatten, 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test/test_jit.py::TestTypeSharing::test_ignored_fns, test/test_jit.py::TestTypeSharing::test_linear, test/test_jit.py::TestTypeSharing::test_loaded_modules_work, test/test_jit.py::TestTypeSharing::test_module_dict_same_type_different_name, test/test_jit.py::TestTypeSharing::test_mutate_attr_value, test/test_jit.py::TestTypeSharing::test_param_vs_attribute, test/test_jit.py::TestTypeSharing::test_python_function_attribute_different, test/test_jit.py::TestTypeSharing::test_python_function_attribute_same, test/test_jit.py::TestTypeSharing::test_same_but_different_classes, test/test_jit.py::TestTypeSharing::test_script_function_attribute_different, test/test_jit.py::TestTypeSharing::test_script_function_attribute_same, test/test_jit.py::TestTypeSharing::test_script_module_containing_traced_module, test/test_jit.py::TestTypeSharing::test_submodules, test/test_jit.py::TestTypeSharing::test_tracing_gives_different_types, test/test_jit.py::TestTypeSharing::test_type_not_shared_ignored_attributes, test/test_jit.py::TestTypeSharing::test_type_shared_ignored_attributes, test/test_jit.py::TestTypeSharing::test_type_sharing_define_in_init, test/test_jit.py::TestTypeSharing::test_type_sharing_disabled, test/test_jit.py::TestLogging::test_bump_numeric_counter, test/test_jit.py::TestLogging::test_counter_aggregation, test/test_jit.py::TestLogging::test_logging_levels_set, test/test_jit.py::TestLogging::test_time_measurement_counter, test/test_jit.py::TestLogging::test_time_measurement_counter_script, test/test_jit.py::TestLogging::test_trace_numeric_counter, test/test_jit.py::TestBackends::test_errors, test/test_jit.py::TestBackends::test_execution, test/test_jit.py::TestBackends::test_save_load, test/test_jit.py::TestBackendsWithCompiler::test_errors, test/test_jit.py::TestBackendsWithCompiler::test_execution, test/test_jit.py::TestNnapiBackend::test_adaptive_avg_pool2d, test/test_jit.py::TestNnapiBackend::test_avg_pool2d, test/test_jit.py::TestNnapiBackend::test_cat, test/test_jit.py::TestNnapiBackend::test_compile_spec_santiy, test/test_jit.py::TestNnapiBackend::test_conv2d, test/test_jit.py::TestNnapiBackend::test_conv2d_transpose, test/test_jit.py::TestNnapiBackend::test_dequantize, test/test_jit.py::TestNnapiBackend::test_detach, test/test_jit.py::TestNnapiBackend::test_flatten, test/test_jit.py::TestNnapiBackend::test_hardtanh, test/test_jit.py::TestNnapiBackend::test_linear, test/test_jit.py::TestNnapiBackend::test_log_softmax, test/test_jit.py::TestNnapiBackend::test_max_pool2d, test/test_jit.py::TestNnapiBackend::test_mean, test/test_jit.py::TestNnapiBackend::test_multi_output, test/test_jit.py::TestNnapiBackend::test_pointwise_binary, test/test_jit.py::TestNnapiBackend::test_pointwise_binary_const, test/test_jit.py::TestNnapiBackend::test_pointwise_unary, test/test_jit.py::TestNnapiBackend::test_prelu, test/test_jit.py::TestNnapiBackend::test_qadd, test/test_jit.py::TestNnapiBackend::test_qlinear, test/test_jit.py::TestNnapiBackend::test_quantize, test/test_jit.py::TestNnapiBackend::test_reshape, test/test_jit.py::TestNnapiBackend::test_seblock_mul, test/test_jit.py::TestNnapiBackend::test_slice, test/test_jit.py::TestNnapiBackend::test_softmax, test/test_jit.py::TestNnapiBackend::test_tensor_input, test/test_jit.py::TestNnapiBackend::test_to, test/test_jit.py::TestNnapiBackend::test_unsqueeze, test/test_jit.py::TestNnapiBackend::test_upsample_nearest2d, test/test_jit.py::TestList::test_comprehension_iterable, test/test_jit.py::TestList::test_comprehension_out_type_not_in_type, test/test_jit.py::TestList::test_comprehensions_basic, test/test_jit.py::TestList::test_comprehensions_basic_float, test/test_jit.py::TestList::test_comprehensions_two_comps, test/test_jit.py::TestList::test_copy_list_immutable, test/test_jit.py::TestList::test_copy_list_mutable, test/test_jit.py::TestList::test_del, test/test_jit.py::TestList::test_dict_keyword_is_correctly_typed, test/test_jit.py::TestList::test_dict_keyword_with_dict_comprehension, test/test_jit.py::TestList::test_dict_keyword_with_dict_comprehension_and_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_empty_dict_comprehension, test/test_jit.py::TestList::test_dict_keyword_with_empty_iterable, test/test_jit.py::TestList::test_dict_keyword_with_internal_aggregate_function, test/test_jit.py::TestList::test_dict_keyword_with_iterable, test/test_jit.py::TestList::test_dict_keyword_with_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_kwargs_using_container_values, test/test_jit.py::TestList::test_dict_keyword_with_mapping, test/test_jit.py::TestList::test_dict_keyword_with_mapping_and_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_mismatched_annotations, test/test_jit.py::TestList::test_dict_keyword_with_nested_call, test/test_jit.py::TestList::test_dict_keyword_with_previously_declared_variable, test/test_jit.py::TestList::test_dict_keyword_with_previously_declared_variable_and_kwargs, test/test_jit.py::TestList::test_extend_list_immutable, test/test_jit.py::TestList::test_extend_list_mutable, test/test_jit.py::TestList::test_in_check, test/test_jit.py::TestList::test_list_bool_conversion, test/test_jit.py::TestList::test_list_count, test/test_jit.py::TestList::test_list_count_not_existing, test/test_jit.py::TestList::test_list_gather, test/test_jit.py::TestList::test_list_index, test/test_jit.py::TestList::test_list_index_not_existing, test/test_jit.py::TestList::test_list_keyword, test/test_jit.py::TestList::test_list_len, test/test_jit.py::TestList::test_list_literal, test/test_jit.py::TestList::test_list_none, test/test_jit.py::TestList::test_list_ops, test/test_jit.py::TestList::test_list_slice, test/test_jit.py::TestList::test_list_sort, test/test_jit.py::TestList::test_list_unification_hint, test/test_jit.py::TestList::test_list_variance, test/test_jit.py::TestList::test_min_bool_list, test/test_jit.py::TestList::test_min_max_list, test/test_jit.py::TestList::test_min_max_single_list, test/test_jit.py::TestList::test_mutable_list_append, test/test_jit.py::TestList::test_mutable_list_append_2, test/test_jit.py::TestList::test_mutable_list_append_if, test/test_jit.py::TestList::test_mutable_list_append_if_else, test/test_jit.py::TestList::test_mutable_list_append_loop, test/test_jit.py::TestList::test_mutable_list_append_loop_if, test/test_jit.py::TestList::test_mutable_list_clear, test/test_jit.py::TestList::test_mutable_list_clear_empty, test/test_jit.py::TestList::test_mutable_list_function_inline, test/test_jit.py::TestList::test_mutable_list_insert, test/test_jit.py::TestList::test_mutable_list_insert_neg_out_of_bounds, test/test_jit.py::TestList::test_mutable_list_insert_negative, test/test_jit.py::TestList::test_mutable_list_insert_out_of_bounds, test/test_jit.py::TestList::test_mutable_list_nested_loop, test/test_jit.py::TestList::test_mutable_list_pop, test/test_jit.py::TestList::test_mutable_list_pop2, test/test_jit.py::TestList::test_mutable_list_pop_at, test/test_jit.py::TestList::test_mutable_list_pop_at2, test/test_jit.py::TestList::test_mutable_list_pop_at_negative, test/test_jit.py::TestList::test_mutable_list_pop_at_negative2, test/test_jit.py::TestList::test_mutable_list_pop_empty, test/test_jit.py::TestList::test_mutable_list_pop_slice, test/test_jit.py::TestList::test_mutable_list_remove, test/test_jit.py::TestList::test_mutable_list_remove2, test/test_jit.py::TestList::test_mutable_list_remove_not_existing, test/test_jit.py::TestList::test_mutable_list_remove_tensor, test/test_jit.py::TestList::test_mutable_list_reverse, test/test_jit.py::TestList::test_mutable_list_reverse_empty, test/test_jit.py::TestList::test_mutable_tensor_list_reverse, test/test_jit.py::TestList::test_no_element_type_annotation, test/test_jit.py::TestList::test_slice_index, test/test_jit.py::TestList::test_tensor_list_count, test/test_jit.py::TestList::test_tensor_list_count_not_existing, test/test_jit.py::TestList::test_tensor_list_index, test/test_jit.py::TestList::test_tensor_list_index_not_existing, test/test_jit.py::TestList::test_to_list, test/test_jit.py::TestList::test_to_list_gpu, test/test_jit.py::TestDict::test_aug_assign, test/test_jit.py::TestDict::test_basic, test/test_jit.py::TestDict::test_clear, test/test_jit.py::TestDict::test_copy, test/test_jit.py::TestDict::test_del, test/test_jit.py::TestDict::test_dict_bool_conversion, test/test_jit.py::TestDict::test_dict_preserves_order, test/test_jit.py::TestDict::test_dict_to_python, test/test_jit.py::TestDict::test_dict_variance, test/test_jit.py::TestDict::test_get, test/test_jit.py::TestDict::test_get_boolkey, test/test_jit.py::TestDict::test_items, test/test_jit.py::TestDict::test_key_type, test/test_jit.py::TestDict::test_keys, test/test_jit.py::TestDict::test_len, test/test_jit.py::TestDict::test_loop, test/test_jit.py::TestDict::test_membership, test/test_jit.py::TestDict::test_mutability, test/test_jit.py::TestDict::test_optional_dict_construct, test/test_jit.py::TestDict::test_ordered_dict, test/test_jit.py::TestDict::test_pop, test/test_jit.py::TestDict::test_popitem, test/test_jit.py::TestDict::test_setdefault, test/test_jit.py::TestDict::test_type_annotation_missing_contained_type, test/test_jit.py::TestDict::test_update, test/test_jit.py::TestDict::test_update_existing_key, test/test_jit.py::TestDict::test_values, test/test_jit.py::TestDict::test_view, test/test_jit.py::TestNamedTuple::test_namedtuple, test/test_jit.py::TestNamedTuple::test_namedtuple_as_attr, test/test_jit.py::TestNamedTuple::test_namedtuple_constant, test/test_jit.py::TestNamedTuple::test_namedtuple_input_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_inside_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_kwarg_construct, test/test_jit.py::TestNamedTuple::test_namedtuple_lower, test/test_jit.py::TestNamedTuple::test_namedtuple_resolution, test/test_jit.py::TestNamedTuple::test_namedtuple_resolution_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_serialization, test/test_jit.py::TestNamedTuple::test_namedtuple_slice_unpack, test/test_jit.py::TestNamedTuple::test_namedtuple_type_annotation, test/test_jit.py::TestNamedTuple::test_namedtuple_wrong_types, test/test_jit.py::TestNamedTuple::test_return_named_tuple, test/test_jit.py::TestScriptDict::test_bool, test/test_jit.py::TestScriptDict::test_contains, test/test_jit.py::TestScriptDict::test_delitem, test/test_jit.py::TestScriptDict::test_getitem, test/test_jit.py::TestScriptDict::test_items, test/test_jit.py::TestScriptDict::test_iter, test/test_jit.py::TestScriptDict::test_len, test/test_jit.py::TestScriptDict::test_nested, test/test_jit.py::TestScriptDict::test_reference_semantics, test/test_jit.py::TestScriptDict::test_repr, test/test_jit.py::TestScriptDict::test_setitem, test/test_jit.py::TestScriptList::test_append, test/test_jit.py::TestScriptList::test_bool, test/test_jit.py::TestScriptList::test_clear, test/test_jit.py::TestScriptList::test_contains, test/test_jit.py::TestScriptList::test_count, test/test_jit.py::TestScriptList::test_defaultdict, test/test_jit.py::TestScriptList::test_delitem, test/test_jit.py::TestScriptList::test_extend, test/test_jit.py::TestScriptList::test_getitem, test/test_jit.py::TestScriptList::test_insert, test/test_jit.py::TestScriptList::test_iter, test/test_jit.py::TestScriptList::test_len, test/test_jit.py::TestScriptList::test_nested, test/test_jit.py::TestScriptList::test_pop, test/test_jit.py::TestScriptList::test_reference_semantics, test/test_jit.py::TestScriptList::test_remove, test/test_jit.py::TestScriptList::test_repr, test/test_jit.py::TestScriptList::test_setitem, test/test_jit.py::TestAsync::test_async_future_type_python, test/test_jit.py::TestAsync::test_async_grad_guard_no_grad, test/test_jit.py::TestAsync::test_async_grad_guard_with_grad, test/test_jit.py::TestAsync::test_async_kwargs, test/test_jit.py::TestAsync::test_async_parsing, test/test_jit.py::TestAsync::test_async_python, test/test_jit.py::TestAsync::test_async_script, test/test_jit.py::TestAsync::test_async_script_capture, test/test_jit.py::TestAsync::test_async_script_error, test/test_jit.py::TestAsync::test_async_script_multi_forks, test/test_jit.py::TestAsync::test_async_script_multi_waits, test/test_jit.py::TestAsync::test_async_script_nested, test/test_jit.py::TestAsync::test_async_script_no_script_mod, test/test_jit.py::TestAsync::test_async_script_trace, test/test_jit.py::TestAsync::test_future_subtyping, test/test_jit.py::TestAsync::test_no_future_subtype_message, test/test_jit.py::TestAsync::test_trace_fork_wait, test/test_jit.py::TestAsync::test_trace_fork_wait_inline, test/test_jit.py::TestAsync::test_trace_fork_wait_leaking, test/test_jit.py::TestAsync::test_trace_fork_wait_list_modulecalls, test/test_jit.py::TestAsync::test_trace_modulecalls_with_different_output_types, test/test_jit.py::TestAwait::test_await_class_arg, test/test_jit.py::TestAwait::test_await_class_return, test/test_jit.py::TestAwait::test_await_eager_lazy, test/test_jit.py::TestAwait::test_await_func_arg, test/test_jit.py::TestAwait::test_await_getattr_implicit_convertion, test/test_jit.py::TestAwait::test_await_isinstance, test/test_jit.py::TestAwait::test_await_multiout_save, test/test_jit.py::TestAwait::test_await_nested, test/test_jit.py::TestAwait::test_await_out_of_interpreter, test/test_jit.py::TestAwait::test_await_python, test/test_jit.py::TestAwait::test_await_type_python, test/test_jit.py::TestAwait::test_awaitable_to_await, test/test_jit.py::TestAwait::test_eager_await_non_scriptable, test/test_jit.py::TestAwait::test_jit_trace, test/test_jit.py::TestAwait::test_nowait, test/test_jit.py::TestAwait::test_nowait_class, test/test_jit.py::TestAwait::test_script, test/test_jit.py::TestDataParallel::test_python_submodule_script, test/test_jit.py::TestDataParallel::test_shared_module, test/test_jit.py::TestDataParallel::test_tensor_sharing, test/test_jit.py::TestDataParallel::test_tensor_sharing_with_forward, test/test_jit.py::TestDataParallel::test_traced_module, test/test_jit.py::TestModels::test_alexnet, test/test_jit.py::TestModels::test_dcgan_models, test/test_jit.py::TestModels::test_dcgan_models_cuda, test/test_jit.py::TestModels::test_mnist, test/test_jit.py::TestModels::test_mnist_cuda, test/test_jit.py::TestModels::test_mnist_training_leaks_no_memory_cuda, test/test_jit.py::TestModels::test_neural_style, test/test_jit.py::TestModels::test_neural_style_cuda, test/test_jit.py::TestModels::test_reinforcement_learning, test/test_jit.py::TestModels::test_reinforcement_learning_cuda, test/test_jit.py::TestModels::test_script_module_script_resnet, test/test_jit.py::TestModels::test_script_module_trace_resnet18, test/test_jit.py::TestModels::test_snli, test/test_jit.py::TestModels::test_snli_cuda, test/test_jit.py::TestModels::test_super_resolution, test/test_jit.py::TestModels::test_super_resolution_cuda, test/test_jit.py::TestModels::test_time_sequence_prediction, test/test_jit.py::TestModels::test_vae, test/test_jit.py::TestModels::test_vae_cuda, test/test_jit.py::TestModules::test_script_module_with_constants_list, test/test_jit.py::TestAutodiffJit::test_autodiff_requires_grad_nograd, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs_profiled_twice, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs_side_effects, test/test_jit.py::TestAutodiffJit::test_undefined_tensor_lists, test/test_jit.py::TestAutodiffSubgraphSlicing::test_aliased_outputs, test/test_jit.py::TestAutodiffSubgraphSlicing::test_bias_as_arg, test/test_jit.py::TestAutodiffSubgraphSlicing::test_bias_as_module_attr, test/test_jit.py::TestAutodiffSubgraphSlicing::test_chunk_constant_script_ad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_constructed_bias, test/test_jit.py::TestAutodiffSubgraphSlicing::test_diff_graph_inline_threshold, test/test_jit.py::TestAutodiffSubgraphSlicing::test_differentiable_graph_ops_requires_grad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_does_not_create_cycles, test/test_jit.py::TestAutodiffSubgraphSlicing::test_does_not_merge_unrelated, test/test_jit.py::TestAutodiffSubgraphSlicing::test_has_profiled_info_aliasing_outputs, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merge_respects_aliasing, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_dense, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_down, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_up, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_without_cycles, test/test_jit.py::TestAutodiffSubgraphSlicing::test_prune_grad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_requires_grad_for_tensor_list, test/test_jit.py::TestAutodiffSubgraphSlicing::test_respects_lexical_scoping, test/test_jit.py::TestAutodiffSubgraphSlicing::test_simple_merge, test/test_jit.py::TestAutodiffSubgraphSlicing::test_simple_no_merge, test/test_jit.py::TestCustomOperators::test_calling_scripted_custom_op, test/test_jit.py::TestCustomOperators::test_calling_traced_custom_op, test/test_jit.py::TestCustomOperators::test_default_arguments_are_used, test/test_jit.py::TestCustomOperators::test_dynamic_op_registry, test/test_jit.py::TestCustomOperators::test_generic_list, test/test_jit.py::TestCustomOperators::test_getting_invalid_attr, test/test_jit.py::TestCustomOperators::test_passing_and_returning_lists, test/test_jit.py::TestCustomOperators::test_passing_one_positional_but_not_the_second, test/test_jit.py::TestCustomOperators::test_passing_too_few_args, test/test_jit.py::TestCustomOperators::test_passing_too_many_args, test/test_jit.py::TestCustomOperators::test_passing_unknown_kwargs, test/test_jit.py::TestCustomOperators::test_script_graph_contains_custom_op, test/test_jit.py::TestCustomOperators::test_script_graph_for_custom_ops_matches_traced_graph, test/test_jit.py::TestCustomOperators::test_simply_calling_an_operator, test/test_jit.py::TestCustomOperators::test_where_no_scalar, test/test_jit.py::TestGraphRewritePasses::test_fuse_linear, test/test_jit.py::TestClassType::test_cast_overloads, test/test_jit.py::TestClassType::test_class_attribute_wrong_type, test/test_jit.py::TestClassType::test_class_constant, test/test_jit.py::TestClassType::test_class_constructs_itself, test/test_jit.py::TestClassType::test_class_inheritance, test/test_jit.py::TestClassType::test_class_inheritance_implicit, test/test_jit.py::TestClassType::test_class_sorting, test/test_jit.py::TestClassType::test_class_specialization, test/test_jit.py::TestClassType::test_class_type_as_param, test/test_jit.py::TestClassType::test_classmethod, test/test_jit.py::TestClassType::test_conditional_set_attr, test/test_jit.py::TestClassType::test_custom_delete, test/test_jit.py::TestClassType::test_default_args, test/test_jit.py::TestClassType::test_get_attr, test/test_jit.py::TestClassType::test_get_attr_not_initialized, test/test_jit.py::TestClassType::test_get_with_method, test/test_jit.py::TestClassType::test_imported_classes, test/test_jit.py::TestClassType::test_in, test/test_jit.py::TestClassType::test_init_compiled_first, test/test_jit.py::TestClassType::test_interface, test/test_jit.py::TestClassType::test_optional_type_promotion, test/test_jit.py::TestClassType::test_out_of_order_methods, test/test_jit.py::TestClassType::test_overloaded_fn, test/test_jit.py::TestClassType::test_properties, test/test_jit.py::TestClassType::test_py_class_to_ivalue_missing_attribute, test/test_jit.py::TestClassType::test_python_interop, test/test_jit.py::TestClassType::test_recursive_class, test/test_jit.py::TestClassType::test_recursive_script_builtin_type_resolution, test/test_jit.py::TestClassType::test_recursive_script_module_builtin_type_resolution, test/test_jit.py::TestClassType::test_recursive_scripting, test/test_jit.py::TestClassType::test_recursive_scripting_failed, test/test_jit.py::TestClassType::test_reference_semantics, test/test_jit.py::TestClassType::test_save_load_with_classes, test/test_jit.py::TestClassType::test_save_load_with_classes_nested, test/test_jit.py::TestClassType::test_save_load_with_classes_returned, test/test_jit.py::TestClassType::test_schema_human_readable, test/test_jit.py::TestClassType::test_self_referential_method, test/test_jit.py::TestClassType::test_set_attr_in_method, test/test_jit.py::TestClassType::test_set_attr_non_initialized, test/test_jit.py::TestClassType::test_set_attr_type_mismatch, test/test_jit.py::TestClassType::test_staticmethod, test/test_jit.py::TestClassType::test_type_annotation, test/test_jit.py::TestClassType::test_type_annotations, test/test_jit.py::TestClassType::test_unresolved_class_attributes, test/test_jit.py::TestClassType::test_unused_method, test/test_jit.py::TestBuiltins::test_del, test/test_jit.py::TestBuiltins::test_del_multiple_operands, test/test_jit.py::TestBuiltins::test_has_attr, test/test_jit.py::TestBuiltins::test_has_attr_invalid_args, test/test_jit.py::TestTensorBuiltins::test_method_on_number, test/test_jit.py::TestTensorBuiltins::test_scalar_to_num_conversions, test/test_jit.py::TestTensorBuiltins::test_tensor_item, test/test_jit.py::TestTensorBuiltins::test_tensor_properties, test/test_jit.py::TestTensorBuiltins::test_tensor_subscript_assign, test/test_jit.py::TestTensorBuiltins::test_tensor_subscript_assign_device, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_inp_out, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_just_inp, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_just_out, test/test_jit.py::TestSymbolicShapeAnalysis::test_adaptive_avg_pool2d, test/test_jit.py::TestSymbolicShapeAnalysis::test_arange_shape, test/test_jit.py::TestSymbolicShapeAnalysis::test_binary_shape_fns_inplace, test/test_jit.py::TestSymbolicShapeAnalysis::test_binary_shape_functions, test/test_jit.py::TestSymbolicShapeAnalysis::test_conv_deconv, test/test_jit.py::TestSymbolicShapeAnalysis::test_convolution_backward, test/test_jit.py::TestSymbolicShapeAnalysis::test_cross_entropy_loss, test/test_jit.py::TestSymbolicShapeAnalysis::test_if_propagation, test/test_jit.py::TestSymbolicShapeAnalysis::test_partial_eval_graph_conv, test/test_jit.py::TestSymbolicShapeAnalysis::test_partial_eval_stitching, test/test_jit.py::TestSymbolicShapeAnalysis::test_refinement_through_graph_stitching, test/test_jit.py::TestSymbolicShapeAnalysis::test_register_function_error_checking, test/test_jit.py::TestSymbolicShapeAnalysis::test_returning_input_symbolic_shapes, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_analysis, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_concat, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_embedding_bag, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_function_includes, test/test_jit.py::TestSymbolicShapeAnalysis::test_shared_shape_graph, test/test_jit.py::TestSymbolicShapeAnalysis::test_size_and_sizes, test/test_jit.py::TestSymbolicShapeAnalysis::test_squeeze_dims, test/test_jit.py::TestSymbolicShapeAnalysis::test_stitching_concat, test/test_jit.py::TestSymbolicShapeAnalysis::test_stitching_multi_output, test/test_jit.py::TestSymbolicShapeAnalysis::test_sym_ir_parsing, test/test_jit.py::TestSymbolicShapeAnalysis::test_unary_shape_fns_inplace, test/test_jit.py::TestSymbolicShapeAnalysis::test_unary_shape_functions, test/test_jit.py::TestSymbolicShapeAnalysis::test_write, test/test_jit.py::TestOpDecompositions::test_op_decomposition, test/test_jit.py::TestOpDecompositions::test_registered_decomposition, test/test_jit.py::TestUnsupportedOps::test_factory_ops_requires_grad_fail, test/test_jit.py::TestUnsupportedOps::test_init_ops, test/test_jit.py::TestFreezing::test_freeze_interface_swapping_two_methods, test/test_jit.py::TestFreezing::test_freeze_interface_within_object, test/test_jit.py::TestFreezing::test_freeze_module, test/test_jit.py::TestFreezing::test_freeze_module_detach_gradient, test/test_jit.py::TestFreezing::test_freeze_module_in_training_mode, test/test_jit.py::TestFreezing::test_freeze_module_inlining, test/test_jit.py::TestFreezing::test_freeze_module_no_forward, test/test_jit.py::TestFreezing::test_freeze_module_return_self, test/test_jit.py::TestFreezing::test_freeze_module_return_sub_module, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr2, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr3, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr2, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr3, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr4, test/test_jit.py::TestFreezing::test_freeze_module_with_call_method, test/test_jit.py::TestFreezing::test_freeze_module_with_fork, test/test_jit.py::TestFreezing::test_freeze_module_with_fork2, test/test_jit.py::TestFreezing::test_freeze_module_with_fork_calling_module_method, test/test_jit.py::TestFreezing::test_freeze_module_with_helperfunction, test/test_jit.py::TestFreezing::test_freeze_module_with_inplace_mutable, test/test_jit.py::TestFreezing::test_freeze_module_with_list, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_dict, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_list, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_tensor, test/test_jit.py::TestFreezing::test_freeze_module_with_nested_fork, test/test_jit.py::TestFreezing::test_freeze_module_with_nestedaliasing, test/test_jit.py::TestFreezing::test_freeze_module_with_nestedaliasingscalar, test/test_jit.py::TestFreezing::test_freeze_module_with_non_static_module_container_index, test/test_jit.py::TestFreezing::test_freeze_module_with_overlapping_attrs, test/test_jit.py::TestFreezing::test_freeze_module_with_preserve_sub_module, test/test_jit.py::TestFreezing::test_freeze_module_with_preserve_sub_module_and_mutation, test/test_jit.py::TestFreezing::test_freeze_module_with_sharedclasstype, test/test_jit.py::TestFreezing::test_freeze_module_with_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_tensor, test/test_jit.py::TestFreezing::test_freeze_module_with_tuple, test/test_jit.py::TestFreezing::test_freeze_module_with_tupleoutput_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attribute_on_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attribute_on_unused_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method2, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method_on_submodule, test/test_jit.py::TestFreezing::test_freeze_no_forward, test/test_jit.py::TestFreezing::test_freeze_non_interface_module_swap, test/test_jit.py::TestFreezing::test_freeze_non_module_class_getattr, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces_same_name, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces_with_reassignment, test/test_jit.py::TestFreezing::test_freeze_with_interface_mutable, test/test_jit.py::TestFreezing::test_freeze_with_swapping_interfaces, test/test_jit.py::TestFreezing::test_module_getattr_indirection, test/test_jit.py::TestFreezing::test_module_with_shared_type_instances, test/test_jit.py::TestFrozenOptimizations::test_bn_not_broadcast_with_linear, test/test_jit.py::TestFrozenOptimizations::test_collapse_adjacent_conversions, test/test_jit.py::TestFrozenOptimizations::test_conv_add_folding, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding_autocast_scenario_cuda, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding_not_forward, test/test_jit.py::TestFrozenOptimizations::test_conv_hardswish, test/test_jit.py::TestFrozenOptimizations::test_conv_mul_add_bn, test/test_jit.py::TestFrozenOptimizations::test_conv_to_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_conv_to_mkldnn_no_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_freeze_conv_relu_fusion, test/test_jit.py::TestFrozenOptimizations::test_freeze_conv_relu_fusion_not_forward, test/test_jit.py::TestFrozenOptimizations::test_freeze_mkdlnn, test/test_jit.py::TestFrozenOptimizations::test_freeze_remove_dropout, test/test_jit.py::TestFrozenOptimizations::test_freeze_remove_feature_dropout, test/test_jit.py::TestFrozenOptimizations::test_hardswish_hardsigmoid, test/test_jit.py::TestFrozenOptimizations::test_incompatible_perf_formats, test/test_jit.py::TestFrozenOptimizations::test_linear_bn_folding, test/test_jit.py::TestFrozenOptimizations::test_linear_bn_folding_autocast_scenario_cuda, test/test_jit.py::TestFrozenOptimizations::test_linear_concat, test/test_jit.py::TestFrozenOptimizations::test_linear_concat_complex, test/test_jit.py::TestFrozenOptimizations::test_linear_concat_different_input, test/test_jit.py::TestFrozenOptimizations::test_linear_multiple_blocks, test/test_jit.py::TestFrozenOptimizations::test_linear_non_constant_weight, test/test_jit.py::TestFrozenOptimizations::test_linear_transpose, test/test_jit.py::TestFrozenOptimizations::test_maxpool_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_mkldnn_fuser_broadcasting, test/test_jit.py::TestFrozenOptimizations::test_mkldnn_inplace_removal, test/test_jit.py::TestFrozenOptimizations::test_numel_less_than_size_with_padding, test/test_jit.py::TestFrozenOptimizations::test_optimize_freeze_module, test/test_jit.py::TestFrozenOptimizations::test_pool2d_batchnorm, test/test_jit.py::TestFrozenOptimizations::test_pool3d_batchnorm, test/test_jit.py::TestFrozenOptimizations::test_remove_detach, test/test_jit.py::TestFrozenOptimizations::test_remove_detach_not_applied, test/test_jit.py::TestFrozenOptimizations::test_scalar_mul, test/test_jit.py::TestMKLDNNReinplacing::test_always_alive_values, test/test_jit.py::TestMKLDNNReinplacing::test_merge_liveness, test/test_jit.py::TestMKLDNNReinplacing::test_successful, test/test_jit.py::TestMKLDNNReinplacing::test_switch_inputs_to_inplace, test/test_jit.py::TestPeephole::test_conv_dim_folding, test/test_jit.py::TestPeephole::test_integer_refinement, test/test_jit.py::TestPeephole::test_noop_peephole, test/test_jit.py::TestPeephole::test_normalized_is_op, test/test_jit.py::TestPeephole::test_normalized_isnot_op, test/test_jit.py::TestPeephole::test_normalized_rsub, test/test_jit.py::TestPeephole::test_optimize_out_comparison_same_value, test/test_jit.py::TestPeephole::test_peephole, test/test_jit.py::TestPeephole::test_peephole_add_zero, test/test_jit.py::TestPeephole::test_peephole_arith, test/test_jit.py::TestPeephole::test_peephole_cuda, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_dict_modified, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_get_input_arg, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_keys_might_overlap, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_missing_key, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_overlapping_keys, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_unsupported_type, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_simple, test/test_jit.py::TestPeephole::test_peephole_dict_len, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_keys_might_overlap, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_overlapping_keys, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_unsupported_type, test/test_jit.py::TestPeephole::test_peephole_dynamic, test/test_jit.py::TestPeephole::test_peephole_int, test/test_jit.py::TestPeephole::test_peephole_len_list, test/test_jit.py::TestPeephole::test_peephole_list_len, test/test_jit.py::TestPeephole::test_peephole_list_ops, test/test_jit.py::TestPeephole::test_peephole_no_output_aliasing, test/test_jit.py::TestPeephole::test_peephole_optional_refine, test/test_jit.py::TestPeephole::test_peephole_slice_all_three_args, test/test_jit.py::TestPeephole::test_peephole_slice_one_empty_arg, test/test_jit.py::TestPeephole::test_peephole_slice_optimization_not_applied_list_modified, test/test_jit.py::TestPeephole::test_peephole_slice_optimization_not_applied_non_const_args, test/test_jit.py::TestPeephole::test_peephole_slice_two_empty_args, test/test_jit.py::TestPeephole::test_peephole_type_refinements, test/test_jit.py::TestPeephole::test_peephole_with_non_output_writes, test/test_jit.py::TestPeephole::test_peephole_with_writes, test/test_jit.py::TestPeephole::test_refine_integer_values, test/test_jit.py::TestPeephole::test_short_circuit_optimization, test/test_jit.py::TestAliasAnalysis::test_becomes_wildcard_annotations, test/test_jit.py::TestAliasAnalysis::test_multiple_compilation_units, test/test_jit.py::TestAliasAnalysis::test_nested_list_construct_not_wildcard, test/test_jit.py::TestAliasAnalysis::test_recursive_calls, test/test_jit.py::TestSaveLoad::test_different_functions, test/test_jit.py::TestSaveLoad::test_different_interfaces, test/test_jit.py::TestSaveLoad::test_different_modules, test/test_jit.py::TestSaveLoad::test_many_collisions, test/test_jit.py::TestSaveLoad::test_save_load_large_string_attribute, test/test_jit.py::TestSaveLoad::test_save_load_meta_tensors, test/test_jit.py::TestSaveLoad::test_save_load_meta_tensors_to_device, test/test_jit.py::TestSaveLoad::test_save_load_params_buffers_submodules, test/test_jit.py::TestSaveLoad::test_save_load_using_pathlib, test/test_jit.py::TestSaveLoad::test_save_load_with_extra_files, test/test_jit.py::TestSaveLoad::test_save_load_with_saved_traced_inputs, test/test_jit.py::TestSaveLoad::test_save_namedtuple_input_only, test/test_jit.py::TestSaveLoad::test_save_namedtuple_input_only_forwardref, test/test_jit.py::TestSaveLoad::test_save_namedtuple_output_only, test/test_jit.py::TestSaveLoad::test_save_nonexit_file, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_functions, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_interfaces, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_modules, test/test_jit.py::TestSaveLoadFlatbuffer::test_many_collisions, test/test_jit.py::TestSaveLoadFlatbuffer::test_module_info_flatbuffer, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_params_buffers_submodules, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_using_pathlib, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_with_extra_files, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_namedtuple_input_only, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_namedtuple_output_only, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_inplace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_reciprocal, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_scalar, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor_inplace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor_out, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_linspace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_linspace_out, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_logspace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_logspace_out, test/test_jit.py::TestModuleContainers::test_custom_container_forward, test/test_jit.py::TestModuleContainers::test_empty_dict_override_contains, test/test_jit.py::TestModuleContainers::test_module_inplace_construct, test/test_jit.py::TestModuleContainers::test_module_interface_special_methods, test/test_jit.py::TestModuleContainers::test_module_properties, test/test_jit.py::TestModuleContainers::test_moduledict, test/test_jit.py::TestModuleContainers::test_moduledict_getitem, test/test_jit.py::TestModuleContainers::test_moduledict_keyerror, test/test_jit.py::TestModuleContainers::test_normal_list_attribute_with_modules_error, test/test_jit.py::TestModuleContainers::test_parameterdict_script_getitem, test/test_jit.py::TestModuleContainers::test_parameterlist_script_getitem, test/test_jit.py::TestModuleContainers::test_parameterlist_script_iter, test/test_jit.py::TestModuleContainers::test_script_module_list_sequential, test/test_jit.py::TestModuleContainers::test_script_modulelist_index, test/test_jit.py::TestModuleContainers::test_sequential_intermediary_types, test/test_jit.py::TestModuleContainers::test_special_method_with_override, test/test_jit.py::TestModuleContainers::test_typed_module_dict, test/test_jit.py::TestModuleContainers::test_typed_module_list, test/test_jit.py::TestPythonBindings::test_add_input, test/test_jit.py::TestPythonBindings::test_aliasdb, test/test_jit.py::TestPythonBindings::test_canonicalize, test/test_jit.py::TestPythonBindings::test_cu_create_function, test/test_jit.py::TestPythonBindings::test_cu_get_functions, test/test_jit.py::TestPythonBindings::test_graph_create, test/test_jit.py::TestPythonBindings::test_graph_iterator_keepalive, test/test_jit.py::TestPythonBindings::test_invalidation, test/test_jit.py::TestPythonIr::test_param_strides, test/test_jit.py::TestPythonIr::test_permute_inputs_binding, test/test_jit.py::TestPythonIr::test_python_ir_utils, test/test_jit.py::TestPythonIr::test_python_ir_utils_graph, test/test_jit.py::TestFunctionalBlocks::test_subgraph_creation, test/test_jit.py::TestRemoveMutation::test_aten_inplace, test/test_jit.py::TestRemoveMutation::test_common_pytorch_list_ops, test/test_jit.py::TestRemoveMutation::test_if_output, test/test_jit.py::TestRemoveMutation::test_if_output_fail, test/test_jit.py::TestRemoveMutation::test_list_indexing_removal, test/test_jit.py::TestRemoveMutation::test_lists_append, test/test_jit.py::TestRemoveMutation::test_lists_insert, test/test_jit.py::TestRemoveMutation::test_special_mapped_op, test/test_jit.py::TestTorchbind::test_default_args, test/test_jit.py::TestTorchbind::test_hasattr, test/test_jit.py::TestTorchbind::test_lambda_as_constructor, test/test_jit.py::TestTorchbind::test_profiler_custom_op, test/test_jit.py::TestTorchbind::test_staticmethod, test/test_jit.py::TestTorchbind::test_torchbind, test/test_jit.py::TestTorchbind::test_torchbind_attr_exception, test/test_jit.py::TestTorchbind::test_torchbind_class_attr_recursive, test/test_jit.py::TestTorchbind::test_torchbind_class_attribute, test/test_jit.py::TestTorchbind::test_torchbind_deepcopy, test/test_jit.py::TestTorchbind::test_torchbind_def_property_getter_setter, test/test_jit.py::TestTorchbind::test_torchbind_def_property_just_getter, test/test_jit.py::TestTorchbind::test_torchbind_def_property_readwrite, test/test_jit.py::TestTorchbind::test_torchbind_getattr, test/test_jit.py::TestTorchbind::test_torchbind_getstate, test/test_jit.py::TestTorchbind::test_torchbind_instantiate_missing_class, test/test_jit.py::TestTorchbind::test_torchbind_lambda_method, test/test_jit.py::TestTorchbind::test_torchbind_no_init, test/test_jit.py::TestTorchbind::test_torchbind_optional_explicit_attr, test/test_jit.py::TestTorchbind::test_torchbind_pass_wrong_type, test/test_jit.py::TestTorchbind::test_torchbind_pickle_serialization, test/test_jit.py::TestTorchbind::test_torchbind_python_deepcopy, test/test_jit.py::TestTorchbind::test_torchbind_return_instance, test/test_jit.py::TestTorchbind::test_torchbind_return_instance_from_method, test/test_jit.py::TestTorchbind::test_torchbind_return_tuple, test/test_jit.py::TestTorchbind::test_torchbind_save_load, test/test_jit.py::TestTorchbind::test_torchbind_take_as_arg, test/test_jit.py::TestTorchbind::test_torchbind_take_instance_as_method_arg, test/test_jit.py::TestTorchbind::test_torchbind_tracing, test/test_jit.py::TestTorchbind::test_torchbind_tracing_nested, test/test_jit.py::TestModuleInterface::test_freeze_module_with_inplace_mutation_in_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_interface_and_fork, test/test_jit.py::TestModuleInterface::test_freeze_module_with_mutated_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_setattr_in_interface, test/test_jit.py::TestModuleInterface::test_module_apis_interface, test/test_jit.py::TestModuleInterface::test_module_doc_string, test/test_jit.py::TestModuleInterface::test_module_interface, test/test_jit.py::TestModuleInterface::test_module_interface_inheritance, test/test_jit.py::TestModuleInterface::test_module_interface_subtype, test/test_jit.py::TestModuleInterface::test_module_swap, test/test_jit.py::TestModuleInterface::test_module_swap_no_lazy_compile, test/test_jit.py::TestModuleInterface::test_module_swap_no_module_interface, test/test_jit.py::TestModuleInterface::test_module_swap_wrong_module, test/test_jit.py::TestModuleInterface::test_not_submodule_interface_call, test/test_jit.py::TestModuleInterface::test_script_module_as_interface_swap, test/test_jit.py::TestWith::test_with_as, test/test_jit.py::TestWith::test_with_errors, test/test_jit.py::TestWith::test_with_exceptions, test/test_jit.py::TestWith::test_with_no_as, test/test_jit.py::TestWith::test_with_no_grad, test/test_jit.py::TestWith::test_with_record_function, test/test_jit.py::TestEnum::test_closed_over_enum_constant, test/test_jit.py::TestEnum::test_enum_as_const, test/test_jit.py::TestEnum::test_enum_as_module_attribute, test/test_jit.py::TestEnum::test_enum_comp, test/test_jit.py::TestEnum::test_enum_comp_diff_classes, test/test_jit.py::TestEnum::test_enum_explicit_script, test/test_jit.py::TestEnum::test_enum_iterate, test/test_jit.py::TestEnum::test_enum_ivalue_type, test/test_jit.py::TestEnum::test_enum_module_return, test/test_jit.py::TestEnum::test_enum_name, test/test_jit.py::TestEnum::test_enum_return, test/test_jit.py::TestEnum::test_enum_value, test/test_jit.py::TestEnum::test_enum_value_types, test/test_jit.py::TestEnum::test_heterogenous_value_type_enum_error, test/test_jit.py::TestEnum::test_non_existent_enum_value, test/test_jit.py::TestEnum::test_string_enum_as_module_attribute, test/test_jit.py::TestEnum::test_typed_enum, test/test_jit.py::TestStringFormatting::test_modulo_operator, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_alternate_digit_placeholder, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_capital_exponent_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_char_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_true_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_digit_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_digit_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_double_percent_in_string, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_exponent_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_float_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_float_placeholder_and_float_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_lowercase_exponent_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_multiple_placeholders, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_percent_in_string, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_format_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_subscript, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_too_few_arguments, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_too_many_arguments, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_unknown_format_specifier, test/test_jit.py::TestProfiler::test_aliasing_merge, test/test_jit.py::TestProfiler::test_autograd_fallback_graph, test/test_jit.py::TestProfiler::test_fallback_graph_not_specialized, test/test_jit.py::TestProfiler::test_iterative_fusion, test/test_jit.py::TestProfiler::test_local_fusion_strategy, test/test_jit.py::TestProfiler::test_not_fusing_scalar_ops, test/test_jit.py::TestProfiler::test_not_optimizing_property, test/test_jit.py::TestProfiler::test_specialize_backward, test/test_jit.py::TestProfiler::test_specialized_types, test/test_jit.py::TestProfiler::test_tensor_constant, test/test_jit.py::TestProfiler::test_tensor_type_not_determined_by_inputs, test/test_jit.py::TestProfiler::test_use_not_profiled, test/test_jit.py::TestSlice::test_module_list_slicing, test/test_jit.py::TestSlice::test_slice_as_variable, test/test_jit.py::TestSlice::test_slice_dynamic_index, test/test_jit.py::TestSlice::test_slice_kwarg, test/test_jit.py::TestSlice::test_slice_one_none, test/test_jit.py::TestSlice::test_slice_start_stop, test/test_jit.py::TestSlice::test_slice_start_stop_step, test/test_jit.py::TestSlice::test_slice_start_stop_with_none, test/test_jit.py::TestSlice::test_slice_stop_clipped, test/test_jit.py::TestSlice::test_slice_stop_only, test/test_jit.py::TestSlice::test_slice_stop_only_with_nones, test/test_jit.py::TestSlice::test_slice_string, test/test_jit.py::TestSlice::test_slice_tensor, test/test_jit.py::TestSlice::test_slice_tensor_multidim, test/test_jit.py::TestSlice::test_slice_tensor_multidim_with_dots, test/test_jit.py::TestSlice::test_slice_three_nones, test/test_jit.py::TestSlice::test_slice_two_nones, test/test_jit.py::TestSlice::test_tuple_slicing, test/test_jit.py::TestIgnorableArgs::test_add_out_ignorable_args, test/test_jit.py::TestIgnorableArgs::test_slice_ignorable_args_for_slice, test/test_jit.py::TestHooks::test_forward_tuple_input, test/test_jit.py::TestHooks::test_hook_compilation_hint, test/test_jit.py::TestHooks::test_hook_hook_name_collision, test/test_jit.py::TestHooks::test_hook_method_name_collision, test/test_jit.py::TestHooks::test_module_direct_forward_invocation, test/test_jit.py::TestHooks::test_module_forward_multiple_inputs, test/test_jit.py::TestHooks::test_module_forward_single_input, test/test_jit.py::TestHooks::test_module_hook_return_nothing, test/test_jit.py::TestHooks::test_module_multiple_hooks_multiple_inputs, test/test_jit.py::TestHooks::test_module_multiple_hooks_single_input, test/test_jit.py::TestHooks::test_module_no_forward_input, test/test_jit.py::TestHooks::test_module_same_hook_repeated, test/test_jit.py::TestHooks::test_submodule_called_directly_with_hooks, test/test_jit.py::TestHooks::test_submodule_direct_forward_invocation, test/test_jit.py::TestHooks::test_submodule_forward_multiple_inputs, test/test_jit.py::TestHooks::test_submodule_forward_single_input, test/test_jit.py::TestHooks::test_submodule_forward_single_input_return_not_tupled, test/test_jit.py::TestHooks::test_submodule_hook_return_nothing, test/test_jit.py::TestHooks::test_submodule_multiple_hooks_multiple_inputs, test/test_jit.py::TestHooks::test_submodule_multiple_hooks_single_input, test/test_jit.py::TestHooks::test_submodule_no_forward_input, test/test_jit.py::TestHooks::test_submodule_same_hook_repeated, test/test_jit.py::TestHooks::test_wrong_hook_signatures, test/test_jit.py::TestHooks::test_wrong_pre_hook_signatures, test/test_jit.py::TestWarn::test_warn, test/test_jit.py::TestWarn::test_warn_multiple_calls_multiple_warnings, test/test_jit.py::TestWarn::test_warn_multiple_calls_same_func_diff_stack, test/test_jit.py::TestWarn::test_warn_once_per_func, test/test_jit.py::TestWarn::test_warn_once_per_func_in_loop, test/test_jit.py::TestWarn::test_warn_only_once, test/test_jit.py::TestWarn::test_warn_only_once_in_loop_func, test/test_jit.py::TestIsinstance::test_bool, test/test_jit.py::TestIsinstance::test_dict, test/test_jit.py::TestIsinstance::test_dict_nested, test/test_jit.py::TestIsinstance::test_dict_no_contained_type, test/test_jit.py::TestIsinstance::test_dict_tensor, test/test_jit.py::TestIsinstance::test_empty_container_special_cases, test/test_jit.py::TestIsinstance::test_empty_container_throws_warning_in_eager, test/test_jit.py::TestIsinstance::test_float, test/test_jit.py::TestIsinstance::test_if_else, test/test_jit.py::TestIsinstance::test_in_if, test/test_jit.py::TestIsinstance::test_in_while_loop, test/test_jit.py::TestIsinstance::test_int, test/test_jit.py::TestIsinstance::test_list, test/test_jit.py::TestIsinstance::test_list_nested, test/test_jit.py::TestIsinstance::test_list_no_contained_type, test/test_jit.py::TestIsinstance::test_list_tensor, test/test_jit.py::TestIsinstance::test_list_tensor_type_true, test/test_jit.py::TestIsinstance::test_nontuple_container_rhs_throws_in_eager, test/test_jit.py::TestIsinstance::test_optional, test/test_jit.py::TestIsinstance::test_optional_nested, test/test_jit.py::TestIsinstance::test_optional_no_contained_type, test/test_jit.py::TestIsinstance::test_optional_none, test/test_jit.py::TestIsinstance::test_tensor_type_false, test/test_jit.py::TestIsinstance::test_tuple, test/test_jit.py::TestIsinstance::test_tuple_nested, test/test_jit.py::TestIsinstance::test_tuple_no_contained_type, test/test_jit.py::TestIsinstance::test_tuple_rhs, test/test_jit.py::TestIsinstance::test_tuple_tensor, test/test_jit.py::TestIsinstance::test_type_refinement, test/test_jit.py::TestPythonBuiltinOP::test_add, test/test_jit.py::TestPythonBuiltinOP::test_adv_indexing_list, test/test_jit.py::TestPythonBuiltinOP::test_advancedindex, test/test_jit.py::TestPythonBuiltinOP::test_gather, test/test_jit.py::TestPythonBuiltinOP::test_index, test/test_jit.py::TestPythonBuiltinOP::test_index_ellipses, test/test_jit.py::TestPythonBuiltinOP::test_inf, test/test_jit.py::TestPythonBuiltinOP::test_matmul_py3, test/test_jit.py::TestPythonBuiltinOP::test_mul, test/test_jit.py::TestPythonBuiltinOP::test_pow, test/test_jit.py::TestPythonBuiltinOP::test_random, test/test_jit.py::TestPythonBuiltinOP::test_slice, test/test_jit.py::TestPythonBuiltinOP::test_stepped_tuple_slicing, test/test_jit.py::TestPythonBuiltinOP::test_str_to_float, test/test_jit.py::TestPythonBuiltinOP::test_triple, test/test_jit.py::TestTyping::test_bool_list_io, test/test_jit.py::TestTyping::test_dict_comprehension, test/test_jit.py::TestTyping::test_dict_comprehension_scope, test/test_jit.py::TestTyping::test_dict_comprehension_with_type_annotation, test/test_jit.py::TestTyping::test_dict_in_not_in, test/test_jit.py::TestTyping::test_dict_invalid_annotations, test/test_jit.py::TestTyping::test_dict_type_refinement_annotation_key_mismatch, test/test_jit.py::TestTyping::test_dict_type_refinement_annotation_value_mismatch, test/test_jit.py::TestTyping::test_for_in_dict, test/test_jit.py::TestTyping::test_for_in_string, test/test_jit.py::TestTyping::test_for_tuple_assign, test/test_jit.py::TestTyping::test_for_tuple_unpack, test/test_jit.py::TestTyping::test_inherited_annotations_python_310, test/test_jit.py::TestTyping::test_list_io, test/test_jit.py::TestTyping::test_list_iterables, test/test_jit.py::TestTyping::test_list_sum, test/test_jit.py::TestTyping::test_list_type_refinement_annotation_element_mismatch, test/test_jit.py::TestTyping::test_list_unification, test/test_jit.py::TestTyping::test_multiple_assign, test/test_jit.py::TestTyping::test_namedtuple_error_source_attribution, test/test_jit.py::TestTyping::test_namedtuple_good_error, test/test_jit.py::TestTyping::test_namedtuple_py2, test/test_jit.py::TestTyping::test_namedtuple_redefine, test/test_jit.py::TestTyping::test_nested_list, test/test_jit.py::TestTyping::test_opt_opt_refinement, test/test_jit.py::TestTyping::test_optional_conversion, test/test_jit.py::TestTyping::test_optional_refinement, test/test_jit.py::TestTyping::test_optional_tuple, test/test_jit.py::TestTyping::test_singleton_tuple_unpack, test/test_jit.py::TestTyping::test_sum_list_diff_elms, test/test_jit.py::TestTyping::test_sum_list_empty, test/test_jit.py::TestTyping::test_sum_list_literal, test/test_jit.py::TestTyping::test_sum_list_one, test/test_jit.py::TestTyping::test_sum_list_wrong_type, test/test_jit.py::TestTyping::test_tuple_assignments, test/test_jit.py::TestTyping::test_tuple_create_return, test/test_jit.py::TestTyping::test_tuple_io, test/test_jit.py::TestTyping::test_tuple_keyword, test/test_jit.py::TestTyping::test_tuple_specialization, test/test_jit.py::TestHash::test_hash_bool, test/test_jit.py::TestHash::test_hash_device, test/test_jit.py::TestHash::test_hash_float, test/test_jit.py::TestHash::test_hash_int, test/test_jit.py::TestHash::test_hash_none, test/test_jit.py::TestHash::test_hash_string, test/test_jit.py::TestHash::test_hash_tensor, test/test_jit.py::TestHash::test_hash_tuple, test/test_jit.py::TestHash::test_hash_tuple_nested_unhashable_type, test/test_jit.py::TestComplex::test_binary_op_complex_tensor, test/test_jit.py::TestComplex::test_comparison_ops, test/test_jit.py::TestComplex::test_complex_constants_and_ops, test/test_jit.py::TestComplex::test_complex_constructor, test/test_jit.py::TestComplex::test_complex_list_sum, test/test_jit.py::TestComplex::test_complex_parse, test/test_jit.py::TestComplex::test_complexdict, test/test_jit.py::TestComplex::test_complexlist, test/test_jit.py::TestComplex::test_div, test/test_jit.py::TestComplex::test_infj_nanj_pickle, test/test_jit.py::TestComplex::test_pickle, test/test_jit.py::TestComplex::test_script, test/test_jit.py::TestComplex::test_tensor_attributes, test/test_jit.py::TestComplex::test_torch_complex_constructor_with_tensor, test/test_jit.py::TestJitUtils::test_checkscriptassertraisesregex, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_hybrid, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_keyword_only, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_positional_only, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_positional_or_keyword, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_var_keyword, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_var_positional, test/test_jit.py::TestJitUtils::test_no_tracer_warn_context_manager, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_annotation_and_init_annotation, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_annotation_only, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_jit_annotation, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_dict, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_dict_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_list, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_list_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_optional, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_tensor, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_falsy_base_type, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_nonempty_container, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_attribute, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_dict, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_dict_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_list, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_list_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_optional, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_torch_jit_import, test/test_jit.py::TestTypesAndAnnotation::test_annotate_outside_init, test/test_jit.py::TestTypesAndAnnotation::test_bad_types, test/test_jit.py::TestTypesAndAnnotation::test_ignore_with_types, test/test_jit.py::TestTypesAndAnnotation::test_ignoring_fn_with_nonscriptable_types, test/test_jit.py::TestTypesAndAnnotation::test_ignoring_module_attributes, test/test_jit.py::TestTypesAndAnnotation::test_inferred_type_error_message, test/test_jit.py::TestTypesAndAnnotation::test_mismatched_annotation, test/test_jit.py::TestTypesAndAnnotation::test_optional_no_element_type_annotation, test/test_jit.py::TestTypesAndAnnotation::test_parser_bug, test/test_jit.py::TestTypesAndAnnotation::test_pep585_type, test/test_jit.py::TestTypesAndAnnotation::test_python_callable, test/test_jit.py::TestTypesAndAnnotation::test_reannotate, test/test_jit.py::TestTypesAndAnnotation::test_tuple_no_element_type_annotation, test/test_jit.py::TestTypesAndAnnotation::test_type_annotate_py3, test/test_jit.py::TestTypesAndAnnotation::test_types_as_values, test/test_jit.py::TestTypesAndAnnotation::test_unimported_type_resolution, test/test_jit.py::TestMisc::test_broadcasting_list, test/test_jit.py::TestMisc::test_export_opnames_interface, test/test_jit.py::TestMisc::test_future_isinstance, test/test_jit.py::TestMisc::test_hacked_twin, test/test_jit.py::TestMisc::test_if_returning_any, test/test_jit.py::TestMisc::test_jit_get_operation_order, test/test_jit.py::TestMisc::test_joined_str, test/test_jit.py::TestMisc::test_kwarg_support, test/test_jit.py::TestMisc::test_legacy_tensor_constructor, test/test_jit.py::TestMisc::test_list_literal_infer, test/test_jit.py::TestMisc::test_math_inf, test/test_jit.py::TestMisc::test_parse_ir_annotate, test/test_jit.py::TestMisc::test_parse_ir_single_element_tensor_negative, test/test_jit.py::TestMisc::test_parse_ir_single_element_tensor_positive, test/test_jit.py::TestMisc::test_pow_multiple_dtype, test/test_jit.py::TestMisc::test_script_many_decorators, test/test_jit.py::TestMisc::test_str_refine_any, test/test_jit.py::TestMisc::test_subexpression_Dict_int_Future, test/test_jit.py::TestMisc::test_subexpression_Future_annotate, test/test_jit.py::TestMisc::test_subexpression_List_Future, test/test_jit.py::TestMisc::test_subexpression_Optional, test/test_jit.py::TestMisc::test_subexpression_Tuple_int_int_Future, test/test_jit.py::TestMisc::test_tuple_subscripted_assign, test/test_jit.py::TestMisc::test_unsafe_hacked_twin, test/test_jit.py::TestUpgraders::test_add_value_to_version_map, test/test_jit.py::TestUpgraders::test_aten_div_scalar_at_3, test/test_jit.py::TestUpgraders::test_aten_div_tensor_at_3, test/test_jit.py::TestUpgraders::test_aten_div_tensor_out_at_3, test/test_jit.py::TestUpgraders::test_aten_full_at_4, test/test_jit.py::TestUpgraders::test_aten_full_other_variants, test/test_jit.py::TestUpgraders::test_aten_full_out_at_4, 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test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_replicate_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_stride, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_stride_padding, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_zero_batch, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_zeros_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose3d, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose3d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_CosineEmbeddingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_CosineEmbeddingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_CosineEmbeddingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_CrossMapLRN2d, test/test_jit.py::TestJitGeneratedModule::test_nn_ELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Embedding, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_discontiguous, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_max, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_max_padding_idx, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_mean_padding_idx, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_sparse, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_sum_padding_idx, test/test_jit.py::TestJitGeneratedModule::test_nn_Embedding_discontiguous, test/test_jit.py::TestJitGeneratedModule::test_nn_Embedding_sparse, test/test_jit.py::TestJitGeneratedModule::test_nn_Flatten, test/test_jit.py::TestJitGeneratedModule::test_nn_Flatten_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold_no_batch_dim_input, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold_no_batch_dim_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_GELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_GLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_GRUCell, 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test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_Mish_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_0d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_1d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_index_neg, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_1d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_margin_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_p_no_reduce, 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test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_jit.py::TestJitGeneratedModule::test_nn_PReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_broadcast_lhs, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_broadcast_rhs, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_with_non_default_args, test/test_jit.py::TestJitGeneratedModule::test_nn_PixelShuffle, test/test_jit.py::TestJitGeneratedModule::test_nn_PixelUnshuffle, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_RNNCell, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_with_up_down, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_with_up_down_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_ReLU6_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_ReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d_complex, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SiLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Sigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_beta, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_zero_beta, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_Softplus_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Softshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Softsign_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Tanh_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Tanhshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Threshold_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Transformer, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerDecoderLayer_gelu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerDecoderLayer_relu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerEncoderLayer_gelu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerEncoderLayer_relu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_Transformer_multilayer_coder, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_Unflatten_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Unfold, test/test_jit.py::TestJitGeneratedModule::test_nn_Unfold_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_shared_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_skewed_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_tuple_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_shared_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_skewed_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_tuple_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_scale_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_scale_1d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_tuple_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_1d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d_launch_configs, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_3d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_3d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_scale_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_scale_3d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_tuple_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_tuple_3d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_dim0, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_dim3, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_lastdim, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_spatial, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_spatial_special, test/test_jit.py::TestJitGeneratedModule::test_nn_multimarginloss_1d_input_0d_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_dim0, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_dim3, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_lastdim, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_lastdim_dtype, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial_dtype, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial_special, test/test_jit.py::TestProducerVersion::test_version
2025-06-01T21:53:23.8751700Z 
2025-06-01T21:53:25.7740290Z Running test_cuda_expandable_segments 1/1 ... [2025-06-01 21:53:25.773758]
2025-06-01T21:53:25.7741470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:53:25.7742840Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:53:25.774059]
2025-06-01T21:53:28.4184860Z 
2025-06-01T21:53:28.4186030Z 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_2ffabcb69ccc1007_.log
2025-06-01T21:53:28.4186510Z 
2025-06-01T21:53:30.4819690Z Running inductor/test_aot_inductor_utils 1/1 ... [2025-06-01 21:53:30.481759]
2025-06-01T21:53:30.4820930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:53:30.4822680Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_aot_inductor_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:53:30.482066]
2025-06-01T21:53:34.3390440Z 
2025-06-01T21:53:34.3392870Z inductor/test_aot_inductor_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_utils_1.1_43309240b6f43f03_.log
2025-06-01T21:53:34.3393710Z 
2025-06-01T21:53:36.3735890Z Running inductor/test_select_algorithm 1/1 ... [2025-06-01 21:53:36.373370]
2025-06-01T21:53:36.3736730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:53:36.3739000Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:53:36.373691]
2025-06-01T21:53:38.2577720Z 
2025-06-01T21:53:38.2578600Z dynamo/test_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_repros_1.1_0893ad466fa7754d_.log
2025-06-01T21:53:38.2629260Z Running 294 items in this shard: test/dynamo/test_repros.py::ReproTests::test_Size, test/dynamo/test_repros.py::ReproTests::test_abc_setattr, test/dynamo/test_repros.py::ReproTests::test_add_sub_alpha_out, test/dynamo/test_repros.py::ReproTests::test_addr_alpha_beta_out, test/dynamo/test_repros.py::ReproTests::test_ao_fake_quantize_tracing, test/dynamo/test_repros.py::ReproTests::test_as_strided_on_base_with_mutation_works, test/dynamo/test_repros.py::ReproTests::test_as_strided_on_existing_view_banned, test/dynamo/test_repros.py::ReproTests::test_attached_attribute_in_dir, test/dynamo/test_repros.py::ReproTests::test_autograd_function_graph_break, test/dynamo/test_repros.py::ReproTests::test_avoid_dupe_specialization, test/dynamo/test_repros.py::ReproTests::test_batch_encoding_clone_inputs, test/dynamo/test_repros.py::ReproTests::test_batch_norm_act, test/dynamo/test_repros.py::ReproTests::test_batchnorm_e2e, test/dynamo/test_repros.py::ReproTests::test_bigbird_unsqueeze_inplace, test/dynamo/test_repros.py::ReproTests::test_bitwise_op_guard, test/dynamo/test_repros.py::ReproTests::test_bitwise_print_precedence, test/dynamo/test_repros.py::ReproTests::test_boxes_len, test/dynamo/test_repros.py::ReproTests::test_build_map_unpack_with_call, test/dynamo/test_repros.py::ReproTests::test_c_defined_metaclass, test/dynamo/test_repros.py::ReproTests::test_changing_stride, test/dynamo/test_repros.py::ReproTests::test_chunk_reformer_ff, test/dynamo/test_repros.py::ReproTests::test_class_member, test/dynamo/test_repros.py::ReproTests::test_classmethod_with_slots, test/dynamo/test_repros.py::ReproTests::test_compilation_metrics_on_error, test/dynamo/test_repros.py::ReproTests::test_compile_complex_conj, test/dynamo/test_repros.py::ReproTests::test_compile_copy__int_overload, test/dynamo/test_repros.py::ReproTests::test_const_dict_keyerror, test/dynamo/test_repros.py::ReproTests::test_contains_range_constprop, test/dynamo/test_repros.py::ReproTests::test_convert_boxes_to_pooler_format, test/dynamo/test_repros.py::ReproTests::test_copy_weird_strides, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_dalle2_maybe, test/dynamo/test_repros.py::ReproTests::test_data_attr_mutation_after_saved_for_bw, test/dynamo/test_repros.py::ReproTests::test_dataclass_in_module, test/dynamo/test_repros.py::ReproTests::test_dataclass_init_with_default_factory_with_inputs, test/dynamo/test_repros.py::ReproTests::test_ddp_checkpoint, test/dynamo/test_repros.py::ReproTests::test_dedup_global, test/dynamo/test_repros.py::ReproTests::test_deferred_runtime_asserts, test/dynamo/test_repros.py::ReproTests::test_delattr, test/dynamo/test_repros.py::ReproTests::test_delattr_raises, test/dynamo/test_repros.py::ReproTests::test_delsubscr, test/dynamo/test_repros.py::ReproTests::test_delsubscr_raises, test/dynamo/test_repros.py::ReproTests::test_detectron2_instances_cat, test/dynamo/test_repros.py::ReproTests::test_disabling_unpack_hooks_within_compiled_region, test/dynamo/test_repros.py::ReproTests::test_distributions_subclass, test/dynamo/test_repros.py::ReproTests::test_do_paste_mask, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dropout_inline, test/dynamo/test_repros.py::ReproTests::test_dynamic_shape_disable_duck_size, test/dynamo/test_repros.py::ReproTests::test_dynamic_shapes_double_not_equal, test/dynamo/test_repros.py::ReproTests::test_dynamic_shapes_float_guard, test/dynamo/test_repros.py::ReproTests::test_dynamic_shapes_implicit_guard, test/dynamo/test_repros.py::ReproTests::test_dynamic_shapes_right_side, test/dynamo/test_repros.py::ReproTests::test_ellipsis, test/dynamo/test_repros.py::ReproTests::test_embedding_backward_broadcasting_decomp, test/dynamo/test_repros.py::ReproTests::test_empty_graph_nested_calls_fullgraph_False, test/dynamo/test_repros.py::ReproTests::test_empty_graph_nested_calls_fullgraph_True, test/dynamo/test_repros.py::ReproTests::test_empty_list_contains_with_jump, test/dynamo/test_repros.py::ReproTests::test_empty_out_dynamic, test/dynamo/test_repros.py::ReproTests::test_enum, test/dynamo/test_repros.py::ReproTests::test_ephemeral_module, test/dynamo/test_repros.py::ReproTests::test_error_return_without_exception_set, test/dynamo/test_repros.py::ReproTests::test_exception_in_dynamo_handling, test/dynamo/test_repros.py::ReproTests::test_exec_import, test/dynamo/test_repros.py::ReproTests::test_exec_wildcard_import, test/dynamo/test_repros.py::ReproTests::test_flip_bad_accuracy, test/dynamo/test_repros.py::ReproTests::test_for_loop_graph_break, test/dynamo/test_repros.py::ReproTests::test_for_loop_graph_break_before, test/dynamo/test_repros.py::ReproTests::test_foreach_decomp_arg_names, test/dynamo/test_repros.py::ReproTests::test_fsdp_set_input_mutation_applied_when_input_gets_no_gradients, test/dynamo/test_repros.py::ReproTests::test_function_in_skipfiles, test/dynamo/test_repros.py::ReproTests::test_functools_wraps, test/dynamo/test_repros.py::ReproTests::test_gan_repro_trying_to_backward_through_the_graph_a_second_time, test/dynamo/test_repros.py::ReproTests::test_generator_dealloc, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_global_fn_mutation, test/dynamo/test_repros.py::ReproTests::test_grad, test/dynamo/test_repros.py::ReproTests::test_grad_mode_carrying_correct_state_after_graph_break, test/dynamo/test_repros.py::ReproTests::test_grad_references_cleared, test/dynamo/test_repros.py::ReproTests::test_graph_break_on_jit_isinstance, test/dynamo/test_repros.py::ReproTests::test_graph_break_on_jit_isinstance_pep585, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_guard_default_device, test/dynamo/test_repros.py::ReproTests::test_guard_fail_nested_tuple, test/dynamo/test_repros.py::ReproTests::test_guard_fail_tensor_bool, test/dynamo/test_repros.py::ReproTests::test_guard_ordering_shape_fail, test/dynamo/test_repros.py::ReproTests::test_guard_with_tuple_mutation, test/dynamo/test_repros.py::ReproTests::test_hasattr_builtin, test/dynamo/test_repros.py::ReproTests::test_hf_bigbird_unsqueeze, test/dynamo/test_repros.py::ReproTests::test_hf_classinstantier, test/dynamo/test_repros.py::ReproTests::test_hf_gelu_inline, test/dynamo/test_repros.py::ReproTests::test_hf_model_output, test/dynamo/test_repros.py::ReproTests::test_hf_t5_forward, test/dynamo/test_repros.py::ReproTests::test_hf_xsoftmax_inference, test/dynamo/test_repros.py::ReproTests::test_hf_xsoftmax_training, test/dynamo/test_repros.py::ReproTests::test_iadd_graph_break, test/dynamo/test_repros.py::ReproTests::test_incompatible_configs, test/dynamo/test_repros.py::ReproTests::test_indexing_with_list, test/dynamo/test_repros.py::ReproTests::test_inductor_dynamic_shapes_broadcasting, test/dynamo/test_repros.py::ReproTests::test_inductor_no_recursionerror_on_for_loops, test/dynamo/test_repros.py::ReproTests::test_inductor_rng_default_dtype, test/dynamo/test_repros.py::ReproTests::test_inference_mode_dynamic_shapes, test/dynamo/test_repros.py::ReproTests::test_inlining_cornercase, test/dynamo/test_repros.py::ReproTests::test_inplace_unsqueeze_input, test/dynamo/test_repros.py::ReproTests::test_int_format, test/dynamo/test_repros.py::ReproTests::test_intermediate_leaf_requires_grad, test/dynamo/test_repros.py::ReproTests::test_invalid_seq_unpack, test/dynamo/test_repros.py::ReproTests::test_is_make_fx_tracing, test/dynamo/test_repros.py::ReproTests::test_is_symbolic_tracing, test/dynamo/test_repros.py::ReproTests::test_isinstance_dtype, test/dynamo/test_repros.py::ReproTests::test_isinstance_storage, test/dynamo/test_repros.py::ReproTests::test_issue111522, test/dynamo/test_repros.py::ReproTests::test_issue111918, test/dynamo/test_repros.py::ReproTests::test_issue114171, test/dynamo/test_repros.py::ReproTests::test_issue126128, test/dynamo/test_repros.py::ReproTests::test_issue134451, test/dynamo/test_repros.py::ReproTests::test_issue1466_size_aot_autograd, test/dynamo/test_repros.py::ReproTests::test_issue175, test/dynamo/test_repros.py::ReproTests::test_jit_script_defaults, test/dynamo/test_repros.py::ReproTests::test_jit_trace_errors, test/dynamo/test_repros.py::ReproTests::test_kwargs_out_list_variable, test/dynamo/test_repros.py::ReproTests::test_list_aliasing, test/dynamo/test_repros.py::ReproTests::test_list_index, test/dynamo/test_repros.py::ReproTests::test_list_index_not_found, test/dynamo/test_repros.py::ReproTests::test_list_index_tensor_unsupported, test/dynamo/test_repros.py::ReproTests::test_list_reverse, test/dynamo/test_repros.py::ReproTests::test_list_self_reference, test/dynamo/test_repros.py::ReproTests::test_listcomp, test/dynamo/test_repros.py::ReproTests::test_longformer_chunk, test/dynamo/test_repros.py::ReproTests::test_longtensor_list, test/dynamo/test_repros.py::ReproTests::test_lru_cache_tracing, test/dynamo/test_repros.py::ReproTests::test_maml_item_capture, test/dynamo/test_repros.py::ReproTests::test_maml_no_item_capture, test/dynamo/test_repros.py::ReproTests::test_many_overlapping_inputs_does_not_explode_guards, test/dynamo/test_repros.py::ReproTests::test_many_views_with_mutation, test/dynamo/test_repros.py::ReproTests::test_map_with_multiple_args, test/dynamo/test_repros.py::ReproTests::test_maybe_multiply_symint, test/dynamo/test_repros.py::ReproTests::test_mem_leak_guards, test/dynamo/test_repros.py::ReproTests::test_merge_criteria_processor_list1, test/dynamo/test_repros.py::ReproTests::test_merge_criteria_processor_list2, test/dynamo/test_repros.py::ReproTests::test_method_overriding, test/dynamo/test_repros.py::ReproTests::test_module_in_skipfiles, test/dynamo/test_repros.py::ReproTests::test_modules, test/dynamo/test_repros.py::ReproTests::test_multi_dot_import, test/dynamo/test_repros.py::ReproTests::test_multi_import, test/dynamo/test_repros.py::ReproTests::test_named_buffers, test/dynamo/test_repros.py::ReproTests::test_negative_floor_div_solve, test/dynamo/test_repros.py::ReproTests::test_negative_shape_guard, test/dynamo/test_repros.py::ReproTests::test_nested_while_loop_graph_break, test/dynamo/test_repros.py::ReproTests::test_nn_module_callable, test/dynamo/test_repros.py::ReproTests::test_nn_module_property_closure, test/dynamo/test_repros.py::ReproTests::test_nn_module_stack_bc, test/dynamo/test_repros.py::ReproTests::test_nn_parameter, test/dynamo/test_repros.py::ReproTests::test_nn_parametrize, test/dynamo/test_repros.py::ReproTests::test_no_grad_inline, test/dynamo/test_repros.py::ReproTests::test_no_tracing_into_eval_frame, test/dynamo/test_repros.py::ReproTests::test_no_tracing_into_eval_frame_ctx_manager, test/dynamo/test_repros.py::ReproTests::test_nonconst_issubclass, test/dynamo/test_repros.py::ReproTests::test_not_rewrite_assert_for_other_errors, test/dynamo/test_repros.py::ReproTests::test_nullcontext1, test/dynamo/test_repros.py::ReproTests::test_nullcontext2, test/dynamo/test_repros.py::ReproTests::test_numpy_not_ndarray_recompiles, test/dynamo/test_repros.py::ReproTests::test_numpy_tobytes_no_error, test/dynamo/test_repros.py::ReproTests::test_odict_get_item_index_name, test/dynamo/test_repros.py::ReproTests::test_omegaconf_dictconfig, test/dynamo/test_repros.py::ReproTests::test_omegaconf_listconfig_contains, test/dynamo/test_repros.py::ReproTests::test_omegaconf_listconfig_iter, test/dynamo/test_repros.py::ReproTests::test_ones_out_dynamic, test/dynamo/test_repros.py::ReproTests::test_optim_state_references_cleared, test/dynamo/test_repros.py::ReproTests::test_optimized_deepcopy, test/dynamo/test_repros.py::ReproTests::test_optimized_module_patched_init, test/dynamo/test_repros.py::ReproTests::test_optimized_module_training, test/dynamo/test_repros.py::ReproTests::test_os_fspath, test/dynamo/test_repros.py::ReproTests::test_out_nested_cell_shape_change, test/dynamo/test_repros.py::ReproTests::test_out_nested_cell_tuple_shape_change, test/dynamo/test_repros.py::ReproTests::test_out_none, test/dynamo/test_repros.py::ReproTests::test_out_overload_non_contiguous, test/dynamo/test_repros.py::ReproTests::test_out_root_cell_shape_change, test/dynamo/test_repros.py::ReproTests::test_out_root_cell_tuple_shape_change, test/dynamo/test_repros.py::ReproTests::test_output_aliases_intermediate, test/dynamo/test_repros.py::ReproTests::test_overlapping_inputs_with_dynamic_shapes_error, test/dynamo/test_repros.py::ReproTests::test_overwriting_params, test/dynamo/test_repros.py::ReproTests::test_partially_initialized_module_property, test/dynamo/test_repros.py::ReproTests::test_partitioner_activation_memory_budget_with_unbacked_symints, test/dynamo/test_repros.py::ReproTests::test_partitioner_cse_respects_mutation_boundaries, test/dynamo/test_repros.py::ReproTests::test_pointless_graph_removal, test/dynamo/test_repros.py::ReproTests::test_primtorch, test/dynamo/test_repros.py::ReproTests::test_primtorch_no_graph_break, test/dynamo/test_repros.py::ReproTests::test_randint_out_dynamic, test/dynamo/test_repros.py::ReproTests::test_recursive_map, test/dynamo/test_repros.py::ReproTests::test_reformer_eval, test/dynamo/test_repros.py::ReproTests::test_reformer_min_chunk_len, test/dynamo/test_repros.py::ReproTests::test_reformer_sorting, test/dynamo/test_repros.py::ReproTests::test_reformer_train, test/dynamo/test_repros.py::ReproTests::test_reinplacing, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_requires_grad_guards_with_grad_mode1, test/dynamo/test_repros.py::ReproTests::test_requires_grad_guards_with_grad_mode2, test/dynamo/test_repros.py::ReproTests::test_restricted_list_subclass1, test/dynamo/test_repros.py::ReproTests::test_restricted_list_subclass2, test/dynamo/test_repros.py::ReproTests::test_restricted_list_subclass3, test/dynamo/test_repros.py::ReproTests::test_return_value_duplication_mixed_grad, test/dynamo/test_repros.py::ReproTests::test_return_value_duplication_scalar, test/dynamo/test_repros.py::ReproTests::test_return_value_duplication_tensor, test/dynamo/test_repros.py::ReproTests::test_return_weakref, test/dynamo/test_repros.py::ReproTests::test_rewrite_assert_dont_change_bytecode, test/dynamo/test_repros.py::ReproTests::test_rewrite_assert_noop, test/dynamo/test_repros.py::ReproTests::test_rewrite_assert_with_msg, test/dynamo/test_repros.py::ReproTests::test_rewrite_assert_with_non_string_msg, test/dynamo/test_repros.py::ReproTests::test_rewrite_assert_without_msg, test/dynamo/test_repros.py::ReproTests::test_rng_state, test/dynamo/test_repros.py::ReproTests::test_seq_append_list, test/dynamo/test_repros.py::ReproTests::test_setattr_requires_grad_graph_breaks, test/dynamo/test_repros.py::ReproTests::test_setitem_boolean_mask_diff, test/dynamo/test_repros.py::ReproTests::test_setitem_tuple_boolean_mask_diff, test/dynamo/test_repros.py::ReproTests::test_sigmoid_out, test/dynamo/test_repros.py::ReproTests::test_sigmoid_out2, test/dynamo/test_repros.py::ReproTests::test_size_typematch, test/dynamo/test_repros.py::ReproTests::test_slice_into_list_mutable, test/dynamo/test_repros.py::ReproTests::test_slicing_dynamic_shape, test/dynamo/test_repros.py::ReproTests::test_slicing_dynamic_shape_setitem, test/dynamo/test_repros.py::ReproTests::test_sort_out, test/dynamo/test_repros.py::ReproTests::test_sort_out2, test/dynamo/test_repros.py::ReproTests::test_specialized_stride, test/dynamo/test_repros.py::ReproTests::test_split_with_sizes_aot_autograd, test/dynamo/test_repros.py::ReproTests::test_staticmethod_allow_in_graph, test/dynamo/test_repros.py::ReproTests::test_stk_sdd_is_transposed, test/dynamo/test_repros.py::ReproTests::test_stop_iteration_reconstruct, test/dynamo/test_repros.py::ReproTests::test_str_isalnum, test/dynamo/test_repros.py::ReproTests::test_string_format, test/dynamo/test_repros.py::ReproTests::test_subclass_graph_output_repro, test/dynamo/test_repros.py::ReproTests::test_super_classmethod, test/dynamo/test_repros.py::ReproTests::test_super_classmethod_inheritance, test/dynamo/test_repros.py::ReproTests::test_super_diamond, test/dynamo/test_repros.py::ReproTests::test_super_in_staticmethod, test/dynamo/test_repros.py::ReproTests::test_super_staticmethod, test/dynamo/test_repros.py::ReproTests::test_swin_base_tensor_attr, test/dynamo/test_repros.py::ReproTests::test_symint_bitwise, test/dynamo/test_repros.py::ReproTests::test_symnode_is_not_op, test/dynamo/test_repros.py::ReproTests::test_symnode_is_op, test/dynamo/test_repros.py::ReproTests::test_tensor_data_kwarg, test/dynamo/test_repros.py::ReproTests::test_tensor_isinstance_tuple, test/dynamo/test_repros.py::ReproTests::test_tensor_item, test/dynamo/test_repros.py::ReproTests::test_tensor_random, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_aot_eager_func_name_func1, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_aot_eager_func_name_func2, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_aot_eager_func_name_func3, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_eager_func_name_func1, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_eager_func_name_func2, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_eager_func_name_func3, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_inductor_func_name_func1, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_inductor_func_name_func2, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_inductor_func_name_func3, test/dynamo/test_repros.py::ReproTests::test_tensor_split, test/dynamo/test_repros.py::ReproTests::test_tensor_split_within_device_cm, test/dynamo/test_repros.py::ReproTests::test_tensor_uniform, test/dynamo/test_repros.py::ReproTests::test_threading_local, test/dynamo/test_repros.py::ReproTests::test_tokenization, test/dynamo/test_repros.py::ReproTests::test_torch_compile_in_compile_frame, test/dynamo/test_repros.py::ReproTests::test_torch_ops_aten, test/dynamo/test_repros.py::ReproTests::test_torch_tensor_ops, test/dynamo/test_repros.py::ReproTests::test_torch_tensor_ops_no_graph_break, test/dynamo/test_repros.py::ReproTests::test_torch_variable_type, test/dynamo/test_repros.py::ReproTests::test_torchname, test/dynamo/test_repros.py::ReproTests::test_trace_functional_tensor_with, test/dynamo/test_repros.py::ReproTests::test_tuple_enum_as_key_dict, test/dynamo/test_repros.py::ReproTests::test_typed_dict, test/dynamo/test_repros.py::ReproTests::test_typed_dict_total, test/dynamo/test_repros.py::ReproTests::test_udf_classes_reconstruction, test/dynamo/test_repros.py::ReproTests::test_unbacked_arange_in_bounds, test/dynamo/test_repros.py::ReproTests::test_unpack_hooks_can_be_disabled, test/dynamo/test_repros.py::ReproTests::test_unpack_hooks_dont_run_during_tracing, test/dynamo/test_repros.py::ReproTests::test_unspecialized_nn_module_with_torch_variable_attribute, test/dynamo/test_repros.py::ReproTests::test_unsqueeze_mul_strides, test/dynamo/test_repros.py::ReproTests::test_user_ctor_ctx_manager, test/dynamo/test_repros.py::ReproTests::test_user_ctor_ctx_manager_custom_init, test/dynamo/test_repros.py::ReproTests::test_user_ctor_ctx_manager_custom_init_graph_break, test/dynamo/test_repros.py::ReproTests::test_user_defined_iter, test/dynamo/test_repros.py::ReproTests::test_user_defined_object_callable, test/dynamo/test_repros.py::ReproTests::test_validate_model_kwargs, test/dynamo/test_repros.py::ReproTests::test_vc_bumped_in_inference_graph, test/dynamo/test_repros.py::ReproTests::test_vdd_duplicate_error, test/dynamo/test_repros.py::ReproTests::test_view_dtype_overload, test/dynamo/test_repros.py::ReproTests::test_weakref, test/dynamo/test_repros.py::ReproTests::test_weakref_construction, test/dynamo/test_repros.py::ReproTests::test_weakref_del, test/dynamo/test_repros.py::ReproTests::test_weakref_reconstruct, test/dynamo/test_repros.py::ReproTests::test_while_loop_graph_break, test/dynamo/test_repros.py::ReproTests::test_while_loop_graph_break_inside_call_function, test/dynamo/test_repros.py::ReproTests::test_with_on_graph_break_inst, test/dynamo/test_repros.py::ReproTests::test_with_on_graph_break_nested, test/dynamo/test_repros.py::ReproTests::test_zeros_out_dynamic
2025-06-01T21:53:38.2677910Z 
2025-06-01T21:53:40.3094860Z Running inductor/test_binary_folding 1/1 ... [2025-06-01 21:53:40.309271]
2025-06-01T21:53:40.3095690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:53:40.3098360Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_binary_folding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:53:40.309615]
2025-06-01T21:53:40.4387370Z 
2025-06-01T21:53:40.4388410Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_a77446eb1eea6ca7_.log
2025-06-01T21:53:40.4388910Z 
2025-06-01T21:53:42.5730110Z Running test_hub 1/1 ... [2025-06-01 21:53:42.572810]
2025-06-01T21:53:42.5730790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:53:42.5733000Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_hub.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:53:42.573108]
2025-06-01T21:53:44.5174780Z 
2025-06-01T21:53:44.5175700Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_b9ceea17b54e4b28_.log
2025-06-01T21:53:44.7422520Z 
2025-06-01T21:53:44.7422530Z 
2025-06-01T21:53:44.7423240Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_78aa49fbe0aac50d_.log
2025-06-01T21:53:44.7424100Z Running 0 items in this shard:
2025-06-01T21:53:44.7424230Z 
2025-06-01T21:53:46.7865350Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-06-01 21:53:46.786308]
2025-06-01T21:53:46.7866330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:53:46.7868280Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:53:46.786609]
2025-06-01T21:53:47.1013300Z Running xpu/test_gemm 1/1 ... [2025-06-01 21:53:47.099119]
2025-06-01T21:53:47.1093260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:53:47.1195110Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'xpu/test_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:53:47.099399]
2025-06-01T21:53:49.3432470Z 
2025-06-01T21:53:49.3433390Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_88283b2cadcac516_.log
2025-06-01T21:53:49.3433930Z Running 0 items in this shard:
2025-06-01T21:53:49.3434050Z 
2025-06-01T21:53:50.9585700Z 
2025-06-01T21:53:50.9586820Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_3cade9beba641d73_.log
2025-06-01T21:53:50.9587400Z 
2025-06-01T21:53:51.3638940Z Running functorch/test_eager_transforms 1/1 ... [2025-06-01 21:53:51.363718]
2025-06-01T21:53:51.3639830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:53:51.3641940Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:53:51.363997]
2025-06-01T21:53:53.1748420Z Running inductor/test_memory 1/1 ... [2025-06-01 21:53:53.174700]
2025-06-01T21:53:53.1749080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:53:53.1750770Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_memory.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:53:53.174983]
2025-06-01T21:53:57.4334300Z 
2025-06-01T21:53:57.4335170Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_15d1426de670d606_.log
2025-06-01T21:53:57.4335720Z 
2025-06-01T21:53:59.6629250Z Running inductor/test_inductor_freezing 1/1 ... [2025-06-01 21:53:59.662714]
2025-06-01T21:53:59.6630110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:53:59.6632040Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_inductor_freezing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:53:59.663012]
2025-06-01T21:54:03.9209580Z 
2025-06-01T21:54:03.9211210Z inductor/test_inductor_freezing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_freezing_1.1_7fde591bc231ccb7_.log
2025-06-01T21:54:03.9211810Z Running 0 items in this shard:
2025-06-01T21:54:03.9211930Z 
2025-06-01T21:54:04.0043220Z 
2025-06-01T21:54:04.0043880Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_115c44e2f941f730_.log
2025-06-01T21:54:04.0137760Z Running 355 items in this shard: test/functorch/test_eager_transforms.py::TestSliceArgnums::test_argnums_reorders, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_duplicate_argnums, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_negative_int_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_positive_int_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_tuple_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_invalid_argnum_type, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_not_enough_argnums, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_out_of_bounds_argnum_values, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_pytree_args, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_buffer_tying, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_combine_state_for_ensemble_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_combine_state_for_ensemble_smoke, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_correctness_mnist_mechanism_functional_call, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_correctness_mnist_mechanism_make_functional, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_disable_autograd_tracking_disable_autograd_tracking_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_disable_autograd_tracking_disable_autograd_tracking_True, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_make_functional_state_correctly_returned_after_forward_mechanism_functional_call, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_make_functional_state_correctly_returned_after_forward_mechanism_make_functional, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying_ensemble, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying_grad, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_leaf, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_mismatch_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_smoke, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_using_detach_functional_call_detach_params_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_using_detach_functional_call_detach_params_True, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_with_buffers_disable_autograd_tracking_disable_autograd_tracking_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_with_buffers_disable_autograd_tracking_disable_autograd_tracking_True, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_advanced_indexing_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composed_with_autograd_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_complicated_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_two_ops_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_conj_bit_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_dtype_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_escaped_wrappers_are_ignored_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_escaped_wrappers_are_marked_as_dead_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_fn_with_kwargs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_functional_init_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_functional_init_with_buffers_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_aux_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_aux_tensor_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_of_vjp_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_of_vjp_of_grad_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_pytree_inputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_captures_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_view_base_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_view_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_invalid_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_is_cuda_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_manual_seed_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_negative_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_nesting_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_inside_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_mixed_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_nested_complicated_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_nested_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_fn_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_only_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_value_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_numel_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_out_of_order_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_primitive_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_print_captured_tensor_inside_transform_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_shape_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_ctor_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_grad_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_vmap_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_hessian_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_vjp_multiple_inputs_outputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_view_inplace_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_views_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_aux_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_aux_tensor_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_of_grad_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_outputs_can_any_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_error_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_input_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_output_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_two_outputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_zero_grad_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_log_softmax_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_new_empty_materializes_tensor_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_new_zeros_materializes_tensor_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_embeddingnet_mechanism_functional_call_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_embeddingnet_mechanism_make_functional_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_inplace_view_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_simple_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_correctness_different_devices_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_correctness_different_devices_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_default_arg_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_default_arg_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_multi_input_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_multi_input_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_multi_input_multi_output_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_multi_input_multi_output_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_simple_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_simple_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_unrelated_outputs_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_unrelated_outputs_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_zero_dim_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_zero_dim_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_argnums_defaults_to_zero_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_argnums_defaults_to_zero_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_argnums_effect_on_return_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_argnums_effect_on_return_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_argnums_tuple_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_argnums_tuple_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_aux_pytree_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_aux_pytree_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_aux_tensor_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_aux_tensor_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_chunk_jacrev__preallocate_and_copy_False_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_chunk_jacrev__preallocate_and_copy_True_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_chunk_jacrev_chunksize_one__preallocate_and_copy_False_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_chunk_jacrev_chunksize_one__preallocate_and_copy_True_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_chunk_jacrev_composition__preallocate_and_copy_False_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_chunk_jacrev_composition__preallocate_and_copy_True_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_complex_error_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_diff_numel_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_diff_numel_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_dimensionality_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_dimensionality_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_empty_argnums_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_empty_argnums_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_empty_output_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_empty_output_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_float_argnums_jacfwd_cpu, 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test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_inputs_outputs_pytree_multidim_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_inputs_pytree_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_inputs_pytree_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_outputs_multiple_argnums_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_outputs_multiple_argnums_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_outputs_pytree_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_outputs_pytree_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_outputs_single_argnums_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_outputs_single_argnums_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_negative_argnums_jacfwd_cpu, 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test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_grad_fn_name_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_needs_input_grads_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_once_differentiable_autograd_vjp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_once_differentiable_grad_vjp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_set_materialize_grads_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_has_vmap_staticmethod_and_has_generate_vmap_rule_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_in_dims_multiple_inputs_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_in_dims_single_input_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_incompatible_out_dims_error_msg_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_info_object_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_kwarg_only_tensors_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_no_vmap_staticmethod_and_no_generate_vmap_rule_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_none_returns_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_should_have_two_returns_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_skips_empty_layer_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_error_if_name_collision_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_nesting_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_overrides_saved_tensors_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_passthrough_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_debug_unwrap_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_reductify_leaf_cpu, test/functorch/test_eager_transforms.py::TestCompileTransformsCPU::test_compile_vmap_hessian_cpu, test/functorch/test_eager_transforms.py::TestCompileTransformsCPU::test_grad_deprecated_api_cpu
2025-06-01T21:54:04.0229140Z 
2025-06-01T21:54:06.0727530Z Running dynamo/test_export_mutations 1/1 ... [2025-06-01 21:54:06.072523]
2025-06-01T21:54:06.0728970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:54:06.0730740Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:54:06.072853]
2025-06-01T21:54:06.1494490Z Running dynamo/test_modes 1/1 ... [2025-06-01 21:54:06.149239]
2025-06-01T21:54:06.1495190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:54:06.1496640Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:54:06.149545]
2025-06-01T21:54:08.7170610Z 
2025-06-01T21:54:08.7171280Z dynamo/test_export_mutations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_mutations_1.1_7ce16812684a5549_.log
2025-06-01T21:54:08.7173300Z Running 5 items in this shard: test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_negative_1, test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_negative_2, test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_negative_3, test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_negative_4, test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_positive_1
2025-06-01T21:54:08.7174850Z 
2025-06-01T21:54:10.8163800Z Running test_weak 1/1 ... [2025-06-01 21:54:10.816235]
2025-06-01T21:54:10.8164500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:54:10.8166980Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_weak.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:54:10.816526]
2025-06-01T21:54:15.1808650Z 
2025-06-01T21:54:15.1809140Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_81d3a7a1ad1d9c79_.log
2025-06-01T21:54:15.1818890Z 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
2025-06-01T21:54:15.1825520Z 
2025-06-01T21:54:17.2254350Z Running inductor/test_async_compile 1/1 ... [2025-06-01 21:54:17.225224]
2025-06-01T21:54:17.2255150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:54:17.2257520Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_async_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:54:17.225522]
2025-06-01T21:54:21.2090680Z 
2025-06-01T21:54:21.2091520Z inductor/test_async_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_async_compile_1.1_b822e6359e4bd9a6_.log
2025-06-01T21:54:21.2092990Z Running 3 items in this shard: test/inductor/test_async_compile.py::TestAsyncCompile::test_pool_method_fork, test/inductor/test_async_compile.py::TestAsyncCompile::test_pool_method_spawn, test/inductor/test_async_compile.py::TestAsyncCompile::test_pool_method_subprocess
2025-06-01T21:54:21.2093720Z 
2025-06-01T21:54:23.2573620Z Running dynamo/test_decorators 1/1 ... [2025-06-01 21:54:23.257187]
2025-06-01T21:54:23.2573990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:54:23.2576940Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_decorators.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:54:23.257499]
2025-06-01T21:54:30.6903190Z 
2025-06-01T21:54:30.6904110Z dynamo/test_decorators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_decorators_1.1_07bc83c835eb1170_.log
2025-06-01T21:54:30.6917570Z Running 55 items in this shard: test/dynamo/test_decorators.py::DecoratorTests::test_allow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_allow_in_graph_no_id_reuse, test/dynamo/test_decorators.py::DecoratorTests::test_assume_constant_result_on_computation_with_graph_input, test/dynamo/test_decorators.py::DecoratorTests::test_assume_constant_result_on_user_defined_fn, test/dynamo/test_decorators.py::DecoratorTests::test_class_methods, test/dynamo/test_decorators.py::DecoratorTests::test_disable_for_custom_op, test/dynamo/test_decorators.py::DecoratorTests::test_disable_ignores_outer_wraps, test/dynamo/test_decorators.py::DecoratorTests::test_disable_nn_module_with_class_decorator, test/dynamo/test_decorators.py::DecoratorTests::test_disable_nn_modules_forward_hook, test/dynamo/test_decorators.py::DecoratorTests::test_disable_optimize, test/dynamo/test_decorators.py::DecoratorTests::test_disable_recursive_false, test/dynamo/test_decorators.py::DecoratorTests::test_disable_recursive_false_weird, test/dynamo/test_decorators.py::DecoratorTests::test_disallow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_dont_skip_tracing, test/dynamo/test_decorators.py::DecoratorTests::test_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_incorrect_usage_disallow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_address_guarded, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_address_unguarded, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_nn_module, test/dynamo/test_decorators.py::DecoratorTests::test_nested_disable_decorator, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_newly_constructed_trace_register_constant_type_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_captured_external_tensor, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_custom_class_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_inside_compiled_function, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_inside_compiled_function_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_inside_compiled_function_kwarg, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_nested_custom_class, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_nested_custom_class_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_newly_constructed_custom_class_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_newly_constructed_dict_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_no_action_at_a_distance, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_object_in_context_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_on_method, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_custom_class, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_custom_class_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_dict, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_dict_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_register_constant_type_guard, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_tensor_args, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_tuple_and_sym_int_output, test/dynamo/test_decorators.py::DecoratorTests::test_patch_dynamo_config_errors, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_aot_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_on_recompile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_fail_on_recompile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_fail_on_recompile_with_disable, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_forbid_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_backend, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_backend_with_disable, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_eager, test/dynamo/test_decorators.py::DecoratorTests::test_skip_frame, test/dynamo/test_decorators.py::DecoratorTests::test_substitute_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_torch_guards_stack_frame_register_inlining_disable, test/dynamo/test_decorators.py::DecoratorTests::test_torch_guards_stack_frame_register_inlining_partially_disable
2025-06-01T21:54:30.6929980Z 
2025-06-01T21:54:32.7457310Z 
2025-06-01T21:54:32.7458380Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_cede641475c66266_.log
2025-06-01T21:54:32.7464400Z Running 24 items in this shard: test/dynamo/test_modes.py::TorchDispatchModeTests::test_skip_torch_dispatch_modes, test/dynamo/test_modes.py::TorchFunctionModeTests::test_builtin_equivalent_funcs, test/dynamo/test_modes.py::TorchFunctionModeTests::test_error_empty_stack_pop_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_expand, test/dynamo/test_modes.py::TorchFunctionModeTests::test_flex_attention, test/dynamo/test_modes.py::TorchFunctionModeTests::test_intermedate_torch_function_mode_construction_mutation, test/dynamo/test_modes.py::TorchFunctionModeTests::test_is_torch_function_all_disabled, test/dynamo/test_modes.py::TorchFunctionModeTests::test_len_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_nested_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_pop_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_push_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_register_hook, test/dynamo/test_modes.py::TorchFunctionModeTests::test_stack_state_clear_default_device, test/dynamo/test_modes.py::TorchFunctionModeTests::test_stack_state_mutation_default_device, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_and_pop_graph_break, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_and_pop_graph_break_mutation, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_disable, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_enabled_guard, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_enter_exit, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_graph_break, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_guards_cpp, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_guards_py, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_highest_priority, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_restore_on_exc
2025-06-01T21:54:32.7469990Z 
2025-06-01T21:54:32.7784010Z Running export/test_unflatten 1/1 ... [2025-06-01 21:54:32.778164]
2025-06-01T21:54:32.7785090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:54:32.7786360Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:54:32.778512]
2025-06-01T21:54:34.8479230Z Running test_subclass 1/1 ... [2025-06-01 21:54:34.847691]
2025-06-01T21:54:34.8480040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:54:34.8482570Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_subclass.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:54:34.848056]
2025-06-01T21:54:37.2422750Z 
2025-06-01T21:54:37.2423320Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_5600331b885621ba_.log
2025-06-01T21:54:37.2448870Z Running 100 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_deepcopy_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_strides_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_lazy_module_wrapper_with_custom_sizes, test/test_subclass.py::TestSubclass::test_lazy_module_wrapper_with_custom_strides, 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_module_optimization_wrapper_with_custom_sizes, test/test_subclass.py::TestSubclass::test_module_optimization_wrapper_with_custom_strides, 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_param_invariants_wrapper_with_custom_sizes_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_sizes_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_strides_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_strides_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_parametrization_wrapper_with_custom_sizes_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_sizes_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_strides_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_strides_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_repr_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_strides_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_serialization_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_strides_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, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_strides_as_param_True
2025-06-01T21:54:37.2476020Z 
2025-06-01T21:54:39.4295070Z Running test_masked 1/1 ... [2025-06-01 21:54:39.429301]
2025-06-01T21:54:39.4295810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:54:39.4297970Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_masked.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:54:39.429614]
2025-06-01T21:54:40.6644110Z 
2025-06-01T21:54:40.6645040Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_2592c12a74fe8647_.log
2025-06-01T21:54:40.6650700Z Running 27 items in this shard: test/export/test_unflatten.py::TestUnflatten::test_attr_as_submod_input, test/export/test_unflatten.py::TestUnflatten::test_dedup_sym_size, test/export/test_unflatten.py::TestUnflatten::test_double_nested_submodule, test/export/test_unflatten.py::TestUnflatten::test_duplicate_placeholder, 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_simple_alias, 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_eager, test/export/test_unflatten.py::TestUnflatten::test_unflatten_empty_branch, 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_none, 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_preserve_with_unused_input, test/export/test_unflatten.py::TestUnflatten::test_unflatten_requires_grad_param, test/export/test_unflatten.py::TestUnflatten::test_unflatten_shared_submodule, test/export/test_unflatten.py::TestUnflatten::test_unflatten_skipped_call_module, 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
2025-06-01T21:54:40.6656080Z 
2025-06-01T21:54:42.7417030Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-06-01 21:54:42.741472]
2025-06-01T21:54:42.7417940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:54:42.7420030Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:54:42.741775]
2025-06-01T21:54:46.0674720Z 
2025-06-01T21:54:46.0675420Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_d7536836f3182fb1_.log
2025-06-01T21:54:46.0824900Z Running 505 items in this shard: test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_rotation_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_4d, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_basic_lr, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_basic_ud, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_default_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_multiple_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestAny::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAny::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestAll::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAll::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestCopy::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCopy::test_order, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_average_class_without_dtype, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic_keepdims_x0_axis0_expected_avg0_weights0_expected_wavg0_expected_wsum0, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic_keepdims_x1_axis_0_expected_avg1_weights1_expected_wavg1_expected_wsum1, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_returned, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_upcasting, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_weights, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_broadcasting, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_deprecated_empty, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_many_arguments, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_non_bool_deprecation, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_return_dtype, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_0d, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_array_copied, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_floats, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_out_of_bounds_idx_-4, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_out_of_bounds_idx_4, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_multidim, test/torch_np/numpy_tests/lib/test_function_base.py::TestAmax::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAmin::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestPtp::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCumsum::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestProd::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCumprod::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_append, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_n, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_prepend, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_0d, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_array_order_preserve, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_fancy, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_index_floats, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_single, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_single_item_array_[1], test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_single_item_array_array([1]), test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_single_item_array_non_int, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_slices, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_args, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_badargs, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_f_decreasing_unsigned_int_f_dtype0, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_f_signed_int_big_jump_f_dtype0, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_f_signed_int_big_jump_f_dtype1, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_f_signed_int_big_jump_f_dtype2, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_f_signed_int_big_jump_f_dtype3, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_inexact_dtypes, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_second_order_accurate, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_spacing, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_specific_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_values, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_x_decreasing_unsigned_x_dtype0, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_x_signed_int_big_jump_x_dtype0, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_x_signed_int_big_jump_x_dtype1, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_x_signed_int_big_jump_x_dtype2, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_x_signed_int_big_jump_x_dtype3, test/torch_np/numpy_tests/lib/test_function_base.py::TestAngle::test_basic, 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test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_api, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_exception, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_extended_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_extended_axis_invalid, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_fraction, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_out_q1_axis0, 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test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype5_expected_dtype5_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype5_expected_dtype5_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype5_expected_dtype5_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype6_expected_dtype6_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype6_expected_dtype6_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype6_expected_dtype6_method_hazen_expected_27_5, 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test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_i, 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2025-06-01T21:54:46.0945180Z 
2025-06-01T21:54:48.0803060Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-06-01 21:54:48.080107]
2025-06-01T21:54:48.0803950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:54:48.0805830Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:54:48.080413]
2025-06-01T21:54:50.2399450Z 
2025-06-01T21:54:50.2400700Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_039bb8a44c2a78ec_.log
2025-06-01T21:54:50.2442120Z Running 194 items in this shard: test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_complex64, 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test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_complex128, 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test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_where_coo_fill_value_0_cpu, test/test_masked.py::TestMaskedCPU::test_where_coo_fill_value_123_cpu, test/test_masked.py::TestMaskedCPU::test_where_csr_fill_value_0_cpu, test/test_masked.py::TestMaskedCPU::test_where_csr_fill_value_123_cpu, test/test_masked.py::TestMaskedCPU::test_where_hybrid_coo_fill_value_0_cpu, test/test_masked.py::TestMaskedCPU::test_where_hybrid_coo_fill_value_123_cpu
2025-06-01T21:54:50.2481860Z 
2025-06-01T21:54:52.2594820Z Running lazy/test_step_closures 1/1 ... [2025-06-01 21:54:52.259269]
2025-06-01T21:54:52.2595620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:54:52.2597490Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'lazy/test_step_closures.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:54:52.259574]
2025-06-01T21:54:56.6318450Z 
2025-06-01T21:54:56.6319820Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_949b2380d3b0afa2_.log
2025-06-01T21:54:56.6323120Z Running 4 items in this shard: test/lazy/test_step_closures.py::ClosuresTest::test_asynchronous, test/lazy/test_step_closures.py::ClosuresTest::test_asynchronous_exception, test/lazy/test_step_closures.py::ClosuresTest::test_synchronous, test/lazy/test_step_closures.py::ClosuresTest::test_synchronous_exception
2025-06-01T21:54:56.6325390Z 
2025-06-01T21:54:58.7175040Z Running test_content_store 1/1 ... [2025-06-01 21:54:58.717296]
2025-06-01T21:54:58.7175790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:54:58.7178070Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_content_store.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:54:58.717604]
2025-06-01T21:55:04.6650680Z 
2025-06-01T21:55:04.6651930Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_2563e38730663ce8_.log
2025-06-01T21:55:04.6653760Z Running 8 items in this shard: test/test_content_store.py::TestContentStoreCPU::test_basic_cpu, test/test_content_store.py::TestContentStoreCPU::test_load_tensor_cpu, test/test_content_store.py::TestContentStoreCPU::test_repeated_hash_cpu, test/test_content_store.py::TestContentStoreCPU::test_scalar_cpu, test/test_content_store.py::TestContentStoreMPS::test_basic_mps, test/test_content_store.py::TestContentStoreMPS::test_load_tensor_mps, test/test_content_store.py::TestContentStoreMPS::test_repeated_hash_mps, test/test_content_store.py::TestContentStoreMPS::test_scalar_mps
2025-06-01T21:55:04.6655230Z 
2025-06-01T21:55:06.6822630Z Running inductor/test_torchbind 1/1 ... [2025-06-01 21:55:06.682044]
2025-06-01T21:55:06.6823450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:06.6825400Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_torchbind.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:06.682369]
2025-06-01T21:55:08.4729240Z 
2025-06-01T21:55:08.4730160Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_767f8ba32845b71d_.log
2025-06-01T21:55:08.4744760Z Running 55 items in this shard: test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_aot_function, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_multiple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_simple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_autograd_function, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_bwd_partitioning, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_const_tensor, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dce, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dedupe, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_different_strides_in_backward, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_different_symint, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_differing_strides_for_grad_outs, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_div, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dropout_checks_joint_graph, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dropout_checks_joint_graph_inference, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dynamic, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_fail_with_direct_invoke_subgraph, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_fake_tensor_checking, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_gen_schema, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_gen_schema_with_buffer_mutation, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_input_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_inference_mode, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_output_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_kwargs_only, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_list, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_mod_attr_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module_forward, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_nonlocal_update, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_normalize_gm, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_output_output_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_none, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_none_from_fwd, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_simple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_simple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_symint_from_fwd_to_bwd, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_triton_kernel_native, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_tuple_of_tuple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked_symbol, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_view_to_reshape, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_simple_func, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_simple_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_simple_func, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_simple_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_unbacked
2025-06-01T21:55:08.4758600Z 
2025-06-01T21:55:10.4656610Z Running test_out_dtype_op 1/1 ... [2025-06-01 21:55:10.465435]
2025-06-01T21:55:10.4657350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:10.4659700Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_out_dtype_op.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:10.465803]
2025-06-01T21:55:10.9175290Z 
2025-06-01T21:55:10.9176660Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_948b1bdbae2b6f25_.log
2025-06-01T21:55:10.9180350Z Running 15 items in this shard: test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_aot_compile, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_aot_compile_constant_folding, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_aoti, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_compile, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_compile_gpu_op_symint_graph_partition, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_compile_symint, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_config_not_generated, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_get_buf_bytes, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_hop_schema, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_hop_schema_no_input, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_hop_schema_no_output, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_inductor, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_input_aot_compile, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_list_return_aot_compile, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_queue
2025-06-01T21:55:10.9183620Z 
2025-06-01T21:55:12.9588160Z Running test_modules 1/1 ... [2025-06-01 21:55:12.958602]
2025-06-01T21:55:12.9588890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:12.9591030Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:12.958915]
2025-06-01T21:55:13.1689180Z 
2025-06-01T21:55:13.1801120Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_cad8be0590d8fc2f_.log
2025-06-01T21:55:13.1924240Z Running 12 items in this shard: test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_dynamo, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_inductor_decomp, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_inductor_decomp_trace, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_int_mm_default_trace, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_make_fx, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_mm_numerical, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_mul_scalar_numerical, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_no_autograd, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_non_functional, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_non_op_overload, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_op_functional, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_wrong_output
2025-06-01T21:55:13.2030920Z 
2025-06-01T21:55:15.2849740Z Running dynamo/test_model_output 1/1 ... [2025-06-01 21:55:15.284774]
2025-06-01T21:55:15.2850540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:15.2852540Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_model_output.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:15.285066]
2025-06-01T21:55:17.5141240Z 
2025-06-01T21:55:17.5142730Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_aaa21209619e4217_.log
2025-06-01T21:55:17.5148490Z Running 18 items in this shard: test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestModelOutput::test_mo_assign, test/dynamo/test_model_output.py::TestModelOutput::test_mo_create, test/dynamo/test_model_output.py::TestModelOutput::test_mo_from_outside, test/dynamo/test_model_output.py::TestModelOutput::test_mo_getattr, test/dynamo/test_model_output.py::TestModelOutput::test_mo_getattr_missing, test/dynamo/test_model_output.py::TestModelOutput::test_mo_getitem, test/dynamo/test_model_output.py::TestModelOutput::test_mo_index, test/dynamo/test_model_output.py::TestModelOutput::test_mo_init, test/dynamo/test_model_output.py::TestModelOutput::test_mo_init2, test/dynamo/test_model_output.py::TestModelOutput::test_mo_init_with_disable, test/dynamo/test_model_output.py::TestModelOutput::test_mo_newkey, test/dynamo/test_model_output.py::TestModelOutput::test_mo_reconstruct_bytecode, test/dynamo/test_model_output.py::TestModelOutput::test_mo_tuple, test/dynamo/test_model_output.py::TestModelOutput::test_none, test/dynamo/test_model_output.py::TestModelOutput::test_reconstruction, test/dynamo/test_model_output.py::TestModelOutputBertCPU::test_HF_bert_model_output_cpu
2025-06-01T21:55:17.5152140Z 
2025-06-01T21:55:19.5141680Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-06-01 21:55:19.513955]
2025-06-01T21:55:19.5142580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:19.5144410Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:19.514272]
2025-06-01T21:55:23.5324580Z 
2025-06-01T21:55:23.5325340Z 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_381b4dfb6daf2f92_.log
2025-06-01T21:55:23.5384350Z 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, 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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, 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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
2025-06-01T21:55:23.5441570Z 
2025-06-01T21:55:25.6542490Z Running test_numba_integration 1/1 ... [2025-06-01 21:55:25.654069]
2025-06-01T21:55:25.6543280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:25.6544990Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_numba_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:25.654356]
2025-06-01T21:55:27.9191700Z 
2025-06-01T21:55:27.9193120Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_cb9923946f803e4e_.log
2025-06-01T21:55:27.9195380Z Running 8 items in this shard: test/test_numba_integration.py::TestNumbaIntegration::test_active_device, test/test_numba_integration.py::TestNumbaIntegration::test_array_adaptor, test/test_numba_integration.py::TestNumbaIntegration::test_conversion_errors, test/test_numba_integration.py::TestNumbaIntegration::test_cuda_array_interface, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_active_device, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_inferred_strides, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_lifetime
2025-06-01T21:55:27.9197210Z 
2025-06-01T21:55:29.9293180Z Running inductor/test_fused_attention 1/1 ... [2025-06-01 21:55:29.929122]
2025-06-01T21:55:29.9294020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:29.9296200Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:29.929413]
2025-06-01T21:55:33.7583020Z 
2025-06-01T21:55:33.7583690Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_992a0706f434133f_.log
2025-06-01T21:55:33.7584180Z 
2025-06-01T21:55:35.7701500Z Running profiler/test_record_function 1/1 ... [2025-06-01 21:55:35.769942]
2025-06-01T21:55:35.7702360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:35.7705220Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'profiler/test_record_function.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:35.770236]
2025-06-01T21:55:37.9189430Z 
2025-06-01T21:55:37.9190150Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_cb2434e6e838eb88_.log
2025-06-01T21:55:37.9191970Z Running 4 items in this shard: test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_delegation_with_profiler, test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_with_record_function, test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_with_record_function_fork, test/profiler/test_record_function.py::TestRecordFunction::test_record_function
2025-06-01T21:55:37.9193150Z 
2025-06-01T21:55:39.9376410Z Running nn/test_lazy_modules 1/1 ... [2025-06-01 21:55:39.937475]
2025-06-01T21:55:39.9377180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:39.9379380Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'nn/test_lazy_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:39.937780]
2025-06-01T21:55:42.5454640Z 
2025-06-01T21:55:42.5455400Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_7616a73d55ea635d_.log
2025-06-01T21:55:42.5467370Z Running 59 items in this shard: test/nn/test_lazy_modules.py::TestLazyModules::test_chained_initialization, test/nn/test_lazy_modules.py::TestLazyModules::test_invalid_functions, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm_with_dict_input, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose1d_kwargs, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d_kwargs, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d_kwargs, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transposed1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_forward_hook, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_linear_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_linear_state_and_forward, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_buffer, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_jit_buffer, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_jit_param, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_parameter, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_pre_forward_hook, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_share_memory_buffer, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_share_memory_param, test/nn/test_lazy_modules.py::TestLazyModules::test_linear, test/nn/test_lazy_modules.py::TestLazyModules::test_linear_state, test/nn/test_lazy_modules.py::TestLazyModules::test_materialize_device, test/nn/test_lazy_modules.py::TestLazyModules::test_materialize_dtype, test/nn/test_lazy_modules.py::TestLazyModules::test_optimizer_pass, test/nn/test_lazy_modules.py::TestLazyModules::test_spectral_norm, test/nn/test_lazy_modules.py::TestLazyModules::test_weight_norm
2025-06-01T21:55:42.5478910Z 
2025-06-01T21:55:44.6298840Z Running test_type_hints 1/1 ... [2025-06-01 21:55:44.629706]
2025-06-01T21:55:44.6300510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:44.6301840Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_type_hints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:44.630004]
2025-06-01T21:55:46.6540610Z 
2025-06-01T21:55:46.6541100Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_1ac46dc0b25c40ac_.log
2025-06-01T21:55:46.6541710Z Running 1 items in this shard: test/test_type_hints.py::TestTypeHints::test_doc_examples
2025-06-01T21:55:46.6542000Z 
2025-06-01T21:55:48.7094140Z Running dynamo/test_verify_correctness 1/1 ... [2025-06-01 21:55:48.709296]
2025-06-01T21:55:48.7094480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:48.7097360Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:48.709583]
2025-06-01T21:55:51.3988110Z 
2025-06-01T21:55:51.3988900Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_8a610783c10c1f4b_.log
2025-06-01T21:55:51.3990800Z Running 4 items in this shard: test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_example_inputs, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_incorrect_verify_false, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_incorrect_verify_true, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_torchscript
2025-06-01T21:55:51.3991820Z 
2025-06-01T21:55:53.5784700Z Running test_matmul_cuda 1/1 ... [2025-06-01 21:55:53.578309]
2025-06-01T21:55:53.5785430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:53.5788890Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:53.578607]
2025-06-01T21:55:55.8670940Z 
2025-06-01T21:55:55.8671650Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_c8d6e1a854190f1a_.log
2025-06-01T21:55:55.8672300Z Running 0 items in this shard:
2025-06-01T21:55:55.8672790Z 
2025-06-01T21:55:58.0466900Z Running nn/test_parametrization 1/1 ... [2025-06-01 21:55:58.046450]
2025-06-01T21:55:58.0467700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:55:58.0469970Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'nn/test_parametrization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:55:58.046798]
2025-06-01T21:56:00.6808210Z 
2025-06-01T21:56:00.6808850Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_fb7dc24f530a2d76_.log
2025-06-01T21:56:00.6828090Z Running 58 items in this shard: test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_deepcopy_after_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_deepcopy_after_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_errors_parametrized_tensor_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_errors_parametrized_tensor_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_errors_unparametrized_tensor_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_errors_unparametrized_tensor_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_initialization_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_initialization_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_multiple_inputs_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_multiple_inputs_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_dim_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_dim_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_forward_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_forward_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_load_state_dict_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_load_state_dict_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_value_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_value_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_orthogonal_errors_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_orthogonal_errors_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_orthogonal_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_orthogonal_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_parametrization_same_training_mode_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_parametrization_same_training_mode_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_buffer_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_buffer_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_nested_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_nested_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_register_parametrization_no_grad, test/nn/test_parametrization.py::TestNNParametrization::test_serialization_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_serialization_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_many_to_one_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_many_to_one_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_right_inverse_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_right_inverse_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_single_param_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_single_param_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_type_before_parametrizations_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_type_before_parametrizations_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_weight_norm_deepcopy_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_weight_norm_deepcopy_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_weight_norm_pickle_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_weight_norm_pickle_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_weight_norm_state_dict_compat_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_weight_norm_state_dict_compat_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_wrapper_subclass_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrizationDeviceCPU::test_weight_norm_parametrization_swap_False_cpu, test/nn/test_parametrization.py::TestNNParametrizationDeviceCPU::test_weight_norm_parametrization_swap_True_cpu
2025-06-01T21:56:00.6846500Z 
2025-06-01T21:56:02.8517420Z Running dynamo/test_backward_higher_order_ops 1/1 ... [2025-06-01 21:56:02.851597]
2025-06-01T21:56:02.8518330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:56:02.8520430Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_backward_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:56:02.851917]
2025-06-01T21:56:10.8869970Z 
2025-06-01T21:56:10.8871030Z dynamo/test_backward_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backward_higher_order_ops_1.1_084f203a7fe06b69_.log
2025-06-01T21:56:10.8873900Z Running 7 items in this shard: test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_eager, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_pt2, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_pt2_compiled_autograd, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_pt2_compiled_autograd_graph_breaks, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_pt2_compiled_autograd_side_effect, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_make_bw, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_make_fx_forward_contrived
2025-06-01T21:56:10.8876000Z 
2025-06-01T21:56:12.9754080Z Running test_datapipe 1/1 ... [2025-06-01 21:56:12.975255]
2025-06-01T21:56:12.9754790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:56:12.9757590Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_datapipe.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:56:12.975554]
2025-06-01T21:56:41.3731590Z 
2025-06-01T21:56:41.3732600Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_80f212612a268483_.log
2025-06-01T21:56:41.3752120Z Running 94 items in this shard: test/test_datapipe.py::TestDataChunk::test_as_string, test/test_datapipe.py::TestDataChunk::test_getitem, test/test_datapipe.py::TestDataChunk::test_iter, test/test_datapipe.py::TestDataChunk::test_len, test/test_datapipe.py::TestDataChunk::test_random_shuffle, test/test_datapipe.py::TestDataChunk::test_reverse, test/test_datapipe.py::TestDataChunk::test_sort, test/test_datapipe.py::TestStreamWrapper::test_api, test/test_datapipe.py::TestStreamWrapper::test_dir, test/test_datapipe.py::TestStreamWrapper::test_pickle, test/test_datapipe.py::TestStreamWrapper::test_repr, test/test_datapipe.py::TestIterableDataPipeBasic::test_demux_mux_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_groupby_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_listdirfiles_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_listdirfilesdeterministic_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_map_with_col_file_handle_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_openfilesfromdisk_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_routeddecoder_iterable_datapipe, test/test_datapipe.py::TestCaptureDataFrame::test_basic_capture, test/test_datapipe.py::TestDataFramesPipes::test_batch, test/test_datapipe.py::TestDataFramesPipes::test_capture, test/test_datapipe.py::TestDataFramesPipes::test_collate, test/test_datapipe.py::TestDataFramesPipes::test_filter, test/test_datapipe.py::TestDataFramesPipes::test_shuffle, test/test_datapipe.py::TestDataFramesPipes::test_unbatch, test/test_datapipe.py::TestFunctionalIterDataPipe::test_batch_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_collate_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_concat_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_demux_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_docstring, test/test_datapipe.py::TestFunctionalIterDataPipe::test_filter_datapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_fork_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_iterable_wrapper_datapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_dict_with_col_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_tuple_list_with_col_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_mux_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_sampler_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_serializable, test/test_datapipe.py::TestFunctionalIterDataPipe::test_serializable_with_dill, test/test_datapipe.py::TestFunctionalIterDataPipe::test_shuffler_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_stream_reader_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_unbatch_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_zip_iterdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_batch_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_concat_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_docstring, test/test_datapipe.py::TestFunctionalMapDataPipe::test_map_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_sequence_wrapper_datapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_serializable, test/test_datapipe.py::TestFunctionalMapDataPipe::test_serializable_with_dill, test/test_datapipe.py::TestFunctionalMapDataPipe::test_shuffler_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_zip_mapdatapipe, test/test_datapipe.py::TestTyping::test_compile_time, test/test_datapipe.py::TestTyping::test_construct_time, test/test_datapipe.py::TestTyping::test_isinstance, test/test_datapipe.py::TestTyping::test_issubinstance, test/test_datapipe.py::TestTyping::test_protocol, test/test_datapipe.py::TestTyping::test_reinforce, test/test_datapipe.py::TestTyping::test_runtime, test/test_datapipe.py::TestTyping::test_subtype, test/test_datapipe.py::TestGraph::test_simple_traverse, test/test_datapipe.py::TestGraph::test_traverse_circular_datapipe, test/test_datapipe.py::TestGraph::test_traverse_forked, test/test_datapipe.py::TestGraph::test_traverse_mapdatapipe, test/test_datapipe.py::TestGraph::test_traverse_mixdatapipe, test/test_datapipe.py::TestGraph::test_traverse_unhashable_datapipe, test/test_datapipe.py::TestSerialization::test_spawn_lambdas_iter, test/test_datapipe.py::TestSerialization::test_spawn_lambdas_map, test/test_datapipe.py::TestCircularSerialization::test_circular_serialization_with_dill, test/test_datapipe.py::TestCircularSerialization::test_circular_serialization_with_pickle, test/test_datapipe.py::TestSharding::test_legacy_custom_sharding, test/test_datapipe.py::TestSharding::test_legacy_custom_sharding_with_old_dataloader, test/test_datapipe.py::TestSharding::test_multi_sharding, test/test_datapipe.py::TestSharding::test_old_dataloader, test/test_datapipe.py::TestSharding::test_sharding_groups, test/test_datapipe.py::TestSharding::test_sharding_groups_in_legacy_grouping_package, test/test_datapipe.py::TestSharding::test_sharding_length, test/test_datapipe.py::TestSharding::test_simple_sharding, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_buggy, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_constraint_multiple_outputs, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_generator, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_new_object, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_self_next, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_generator_function, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_generator_function_exception, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_next, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_next_exception, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_return_self, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_custom_non_generator, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_custom_self_next, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph_repeated, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph_with_serialization
2025-06-01T21:56:41.3770040Z 
2025-06-01T21:56:43.4950490Z Running inductor/test_unbacked_symints 1/1 ... [2025-06-01 21:56:43.494851]
2025-06-01T21:56:43.4951340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:56:43.4953900Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_unbacked_symints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:56:43.495179]
2025-06-01T21:56:56.6057300Z 
2025-06-01T21:56:56.6058080Z inductor/test_unbacked_symints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_unbacked_symints_1.1_cd094e44edf580de_.log
2025-06-01T21:56:56.6065210Z Running 24 items in this shard: test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_autotuning_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_broadcast_tensors_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_einsum_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_equivalent_backed_unbacked_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_expand_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_expand_ok_with_runtime_assert_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_issue_143498_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_mm_and_friends_addmm_False_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_mm_and_friends_addmm_True_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_mm_and_friends_bmm_False_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_mm_and_friends_bmm_True_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_mm_and_friends_mm_False_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_mm_and_friends_mm_True_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_nonzero_in_inference_mode_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_split_with_sizes_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_triton_kernel_grid_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_masked_scatter_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_range_tree_divisor_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_repeat_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_slice_on_subclass_dynamic2_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_slice_on_subclass_dynamic_False_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_slice_on_subclass_dynamic_True_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_vertical_pointwise_reduction_fusion_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_view_of_slice_cpu
2025-06-01T21:56:56.6078680Z 
2025-06-01T21:56:58.6773420Z Running dynamo/test_cudagraphs 1/1 ... [2025-06-01 21:56:58.677165]
2025-06-01T21:56:58.6775080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:56:58.6776640Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:56:58.677465]
2025-06-01T21:57:00.7980380Z 
2025-06-01T21:57:00.7982160Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_8c6ae30f1ea5fb53_.log
2025-06-01T21:57:00.7983440Z 
2025-06-01T21:57:02.9179040Z Running test_maskedtensor 1/1 ... [2025-06-01 21:57:02.917728]
2025-06-01T21:57:02.9180760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:57:02.9183390Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_maskedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:57:02.918051]
2025-06-01T21:57:11.6878720Z 
2025-06-01T21:57:11.6880300Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_aa0a2e3a223e9cec_.log
2025-06-01T21:57:11.7083890Z Running 953 items in this shard: test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn0, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn1, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn10, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn11, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn12, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn13, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn14, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn15, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn16, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn17, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn18, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn19, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn2, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn20, 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test/test_maskedtensor.py::TestBasicsCPU::test_nn_unfold_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_softmax_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_stack_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_and_sparse_coo_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_and_sparse_csr_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_sparse_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_unfold_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_where_cpu
2025-06-01T21:57:11.7273520Z 
2025-06-01T21:57:13.7871240Z Running test_monitor 1/1 ... [2025-06-01 21:57:13.786948]
2025-06-01T21:57:13.7872000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:57:13.7875030Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_monitor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:57:13.787240]
2025-06-01T21:57:16.3690070Z 
2025-06-01T21:57:16.3691280Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_e3446c225d0c357f_.log
2025-06-01T21:57:16.3694670Z Running 6 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::TestMonitor::test_wait_counter, test/test_monitor.py::TestMonitorTensorboard::test_event_handler
2025-06-01T21:57:16.3697170Z 
2025-06-01T21:57:18.4301740Z Running inductor/test_auto_functionalize 1/1 ... [2025-06-01 21:57:18.429925]
2025-06-01T21:57:18.4302740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:57:18.4304360Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_auto_functionalize.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:57:18.430225]
2025-06-01T21:57:32.6045650Z 
2025-06-01T21:57:32.6047520Z inductor/test_auto_functionalize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_auto_functionalize_1.1_ad91225d4626de50_.log
2025-06-01T21:57:32.6057750Z Running 38 items in this shard: test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias2_dynamic, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias_id_input_to_custom_op, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias_id_output, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_can_with_default, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_can_with_none_return, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra1, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra3, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra4, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra5, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_old, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_on_view, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_optional_old, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_optional_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_self_as_mutate_arg, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_tensorlist, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_with_returns_old, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_with_returns_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_can_auto_functionalize, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_dynamic2_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_dynamic3_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_dynamic_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_graph_input_is_view, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode1_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode2_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode3_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode4_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode_view, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_recompile, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_slice, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_slice_dynamic, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_split, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_split_dynamic, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_try_use_slice, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_unbacked_auto_functionalize_op
2025-06-01T21:57:32.6067200Z 
2025-06-01T21:57:34.6741590Z Running test_decomp 1/4 ... [2025-06-01 21:57:34.673927]
2025-06-01T21:57:34.6742350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T21:57:34.6744480Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 21:57:34.674227]
2025-06-01T22:03:04.6340870Z 
2025-06-01T22:03:04.6342170Z test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.1_565a128976648cc8_.log
2025-06-01T22:03:04.7804210Z Running 6841 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, 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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, 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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, 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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, 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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, 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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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_False_set_grad_False_cpu_float32, 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_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_True_set_grad_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_False_set_grad_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, 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_True_cpu_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BatchNorm1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BatchNorm1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BatchNorm2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BatchNorm2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BatchNorm3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BatchNorm3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GRU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GRU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_InstanceNorm1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_InstanceNorm1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_InstanceNorm2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_InstanceNorm2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_InstanceNorm3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_InstanceNorm3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LSTM_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LSTM_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiheadAttention_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiheadAttention_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_RNN_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_RNN_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_TransformerEncoder_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_TransformerEncoder_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveAvgPool3d_mps_float16, 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test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CircularPad2d_mps_float32, 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test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_FractionalMaxPool2d_mps_float32, 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test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveAvgPool1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveAvgPool1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveAvgPool2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveAvgPool2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveAvgPool3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveAvgPool3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveMaxPool1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveMaxPool1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveMaxPool2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveMaxPool2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveMaxPool3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveMaxPool3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AvgPool1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AvgPool1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AvgPool2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AvgPool2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AvgPool3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AvgPool3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BCELoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BCELoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BCEWithLogitsLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BCEWithLogitsLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm1d_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm1d_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm1d_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm1d_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm2d_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm2d_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm2d_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm2d_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm3d_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm3d_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm3d_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm3d_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Bilinear_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Bilinear_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CELU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CELU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CTCLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CTCLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CircularPad1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CircularPad1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CircularPad2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CircularPad2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CircularPad3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CircularPad3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConstantPad1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConstantPad1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConstantPad2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConstantPad2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConstantPad3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConstantPad3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Conv1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Conv1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Conv2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Conv2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Conv3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Conv3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConvTranspose1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConvTranspose1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConvTranspose2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConvTranspose2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConvTranspose3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConvTranspose3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CosineEmbeddingLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CosineEmbeddingLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CrossEntropyLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CrossEntropyLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ELU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ELU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Embedding_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Embedding_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_FractionalMaxPool2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_FractionalMaxPool2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_FractionalMaxPool3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_FractionalMaxPool3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GELU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GELU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GLU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GLU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GRUCell_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GRUCell_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GRU_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GRU_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GRU_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GRU_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GaussianNLLLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GaussianNLLLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GroupNorm_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GroupNorm_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Hardshrink_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Hardshrink_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Hardswish_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Hardswish_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Hardtanh_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Hardtanh_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_HingeEmbeddingLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_HingeEmbeddingLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_HuberLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_HuberLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm1d_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm1d_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm1d_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm1d_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm2d_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm2d_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm2d_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm2d_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm3d_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm3d_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm3d_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm3d_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_KLDivLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_KLDivLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_L1Loss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_L1Loss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LPPool1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LPPool1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LPPool2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LPPool2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LPPool3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LPPool3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LSTMCell_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LSTMCell_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LSTM_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LSTM_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LSTM_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LSTM_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LayerNorm_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LayerNorm_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LeakyReLU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LeakyReLU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Linear_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Linear_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LocalResponseNorm_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LocalResponseNorm_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LogSigmoid_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LogSigmoid_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LogSoftmax_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LogSoftmax_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MSELoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MSELoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MarginRankingLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MarginRankingLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MaxPool1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MaxPool1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MaxPool2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MaxPool2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MaxPool3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MaxPool3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Mish_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Mish_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiLabelMarginLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiLabelMarginLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiLabelSoftMarginLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiLabelSoftMarginLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiMarginLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiMarginLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiheadAttention_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiheadAttention_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiheadAttention_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiheadAttention_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_NLLLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_NLLLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_PReLU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_PReLU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_PoissonNLLLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_PoissonNLLLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RMSNorm_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RMSNorm_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RNNCell_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RNNCell_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RNN_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RNN_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RNN_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RNN_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReLU6_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReLU6_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReLU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReLU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReflectionPad1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReflectionPad1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReflectionPad2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReflectionPad2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReflectionPad3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReflectionPad3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReplicationPad1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReplicationPad1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReplicationPad2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReplicationPad2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReplicationPad3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReplicationPad3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SELU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SELU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SiLU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SiLU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Sigmoid_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Sigmoid_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SmoothL1Loss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SmoothL1Loss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SoftMarginLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SoftMarginLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softmax2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softmax2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softmax_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softmax_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softmin_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softmin_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softplus_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softplus_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softshrink_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softshrink_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softsign_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softsign_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Tanh_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Tanh_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Tanhshrink_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Tanhshrink_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Threshold_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Threshold_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerDecoderLayer_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerDecoderLayer_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoderLayer_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoderLayer_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoderLayer_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoderLayer_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoder_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoder_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoder_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoder_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Transformer_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Transformer_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ZeroPad1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ZeroPad1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ZeroPad2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ZeroPad2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ZeroPad3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ZeroPad3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCELoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCELoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCELoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCELoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCEWithLogitsLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCEWithLogitsLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCEWithLogitsLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCEWithLogitsLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Bilinear_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Bilinear_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Bilinear_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Bilinear_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CELU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CELU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CELU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CELU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CTCLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CTCLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CTCLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CTCLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CosineEmbeddingLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CosineEmbeddingLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CosineEmbeddingLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CosineEmbeddingLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CrossEntropyLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CrossEntropyLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CrossEntropyLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CrossEntropyLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ELU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ELU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ELU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ELU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Embedding_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Embedding_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Embedding_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Embedding_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GELU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GELU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GELU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GELU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GLU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GLU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GLU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GLU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRUCell_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRUCell_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRUCell_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRUCell_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GaussianNLLLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GaussianNLLLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GaussianNLLLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GaussianNLLLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GroupNorm_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GroupNorm_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GroupNorm_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GroupNorm_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardshrink_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardshrink_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardshrink_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardshrink_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardswish_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardswish_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardswish_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardswish_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardtanh_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardtanh_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardtanh_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardtanh_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HingeEmbeddingLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HingeEmbeddingLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HingeEmbeddingLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HingeEmbeddingLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HuberLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HuberLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HuberLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HuberLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_KLDivLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_KLDivLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_KLDivLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_KLDivLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_L1Loss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_L1Loss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_L1Loss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_L1Loss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTMCell_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTMCell_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTMCell_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTMCell_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LayerNorm_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LayerNorm_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LayerNorm_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LayerNorm_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LeakyReLU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LeakyReLU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LeakyReLU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LeakyReLU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Linear_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Linear_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Linear_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Linear_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LocalResponseNorm_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LocalResponseNorm_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LocalResponseNorm_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LocalResponseNorm_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSigmoid_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSigmoid_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSigmoid_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSigmoid_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSoftmax_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSoftmax_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSoftmax_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSoftmax_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MSELoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MSELoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MSELoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MSELoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MarginRankingLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MarginRankingLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MarginRankingLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MarginRankingLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Mish_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Mish_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Mish_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Mish_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelMarginLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelMarginLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelSoftMarginLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelSoftMarginLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelSoftMarginLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelSoftMarginLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiMarginLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiMarginLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiMarginLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiMarginLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_NLLLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_NLLLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_NLLLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_NLLLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PReLU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PReLU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PReLU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PReLU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PoissonNLLLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PoissonNLLLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PoissonNLLLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PoissonNLLLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RMSNorm_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RMSNorm_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RMSNorm_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RMSNorm_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNNCell_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNNCell_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNNCell_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNNCell_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU6_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU6_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU6_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU6_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SELU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SELU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SELU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SELU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SiLU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SiLU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SiLU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SiLU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Sigmoid_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Sigmoid_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Sigmoid_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Sigmoid_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SmoothL1Loss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SmoothL1Loss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SmoothL1Loss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SmoothL1Loss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SoftMarginLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SoftMarginLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SoftMarginLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SoftMarginLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax_swap_True_set_grad_False_mps_float32, 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test/test_modules.py::TestModuleMPS::test_to_nn_Softshrink_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softshrink_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softshrink_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softsign_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softsign_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softsign_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softsign_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanh_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanh_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanh_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanh_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanhshrink_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanhshrink_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanhshrink_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanhshrink_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Threshold_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Threshold_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Threshold_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Threshold_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerDecoderLayer_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerDecoderLayer_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerDecoderLayer_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerDecoderLayer_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Transformer_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Transformer_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Transformer_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Transformer_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad3d_swap_True_set_grad_True_mps_float32
2025-06-01T22:03:04.9209050Z 
2025-06-01T22:03:07.2620760Z Running test_decomp 3/4 ... [2025-06-01 22:03:07.261877]
2025-06-01T22:03:07.2621800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:03:07.2623710Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:03:07.262177]
2025-06-01T22:03:15.5578670Z 
2025-06-01T22:03:15.5579510Z inductor/test_torchinductor_codegen_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.1_f87b907763678f95_.log
2025-06-01T22:03:15.5861110Z Running 815 items in this shard: test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_AllenaiLongformerBase_repro_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test__dyn_quant_matmul_4bit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test__dyn_quant_pack_4bit_weight_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test__unsafe_masked_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test__unsafe_masked_index_put_accumulate_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_abs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool1d_argmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool2d_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool_errors_with_long_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool_with_output_size_0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_max_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_max_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_pool_errors_with_long_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_const_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_const_int_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_inplace_permuted_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adding_tensor_offsets_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_addmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_addmv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_alexnet_prefix_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aliased_buffer_reuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_angle_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_any_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_cache_hit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_dtype_device_layout_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_override_registration_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_support_out_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_support_str_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_with_persistent_cache_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_with_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin_with_duplicates_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin_with_nan_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_min_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_to_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_as_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_as_strided_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool_errors_with_uint_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_baddbmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_batch_norm_2d_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_batch_norm_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bernoulli1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bernoulli2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bfloat16_to_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bitwise2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bitwise3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bitwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bmm1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bmm2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bool_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_both_scalars_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_add_autotune_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_computed_offsets_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_default_kwargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_nd_tiling_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_nd_tiling_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_buffer_batch_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_buffer_copied_in_graph_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_buffer_copied_in_graph_with_different_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_buffer_use_after_remove_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_float_ndigits_neg_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_float_ndigits_pos_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_float_ndigits_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_int_ndigits_pos_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_int_ndigits_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_empty_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_extern_kernel_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_negative_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_of_loops_and_extern_kernel_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_single_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_unbacked_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_unbacked_empty_1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_unbacked_legacy_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_upcasting_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cauchy_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_check_stack_no_cycles_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_chunk_recompiles_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_clamp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_clamp_type_promotion_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_clamp_type_promotion_non_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_clone_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_compar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_complex_fallback_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_complex_memory_overlap_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_computed_buffer_inlining_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_concat_add_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_config_option_dont_assume_alignment_cudagraphs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_config_option_dont_assume_alignment_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_config_option_dont_assume_alignment_recompiles_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_consecutive_split_cumprod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_consecutive_split_cumsum_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_const_int32_to_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_fill_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_nd_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv2d_backward_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv2d_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv3d_channels_last_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv3d_channels_last_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_bn_fuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_functional_bn_fuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_inference_heuristics_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_shape_check_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_with_as_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_convolution1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_convolution2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_convolution3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_convolution4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_convolution5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cos_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cudnn_rnn_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cummin_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumprod_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumsum_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumsum_inf_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumsum_no_mask_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumsum_pattern_matcher_issue_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumsum_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_default_layout_constraint_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_fixed_layout_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_fixed_layout_sequential_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_scan_op_compiled_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_scan_op_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_scan_op_multi_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_scan_would_split_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_data_type_propogation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dense_mask_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_deterministic_codegen_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_deterministic_codegen_on_graph_break_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_deterministic_codegen_with_suffix_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_device_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_diagonal_copy_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dist_bf16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dist_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div9_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div_by_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div_precision_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div_prim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div_softmax_symfloat_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout_deterministic_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout_trivial_0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout_trivial_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtype_mismatch_issue_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtype_sympy_expr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_fusion_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_elu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_bag_byte_unpack_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_bag_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_sparse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_empty1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_empty2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_empty_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_erfc_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_erfinv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exact_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exp2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_expand_as_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_expand_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_expanded_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_expm1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_basic_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_list_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_no_mutated_tensors_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_with_return_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fft_real_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fft_real_input_real_output_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fill1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fill2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_flip_cat_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_float16_to_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_float32_to_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_float_index_expression_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_float_index_expression_type_promotion_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_float_repr_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_floordiv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fmin_fmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fmod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fmod_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_forced_buffer_realize_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_full_boolean_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_full_like_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_full_truncation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_functionalize_rng_wrappers_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fuse_large_params_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fuse_tiled_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fusing_write_into_disjoint_read_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gelu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_generate_rand_fp8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_getitem_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_glu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_arange1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_arange2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_argmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_both_scalars_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_constant_tensor1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_constant_tensor2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_misaligned_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_mutation_real_name_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_no_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_pad_dynamic_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_refcount_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_scalar_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_unbacked_symint_as_output_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_grid_sampler_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_hardsigmoid_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_hardswish_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_hardtanh_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_horizonal_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_horizonal_fusion2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_abs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_device_assert_masked_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_floordiv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_nested_indirect_indexing_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_remainder_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_as_masked_fill_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_deterministic_fallback_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_failed_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_fallback1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_fallback2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_select_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_indirect_load_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inductor_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inductor_layout_optimization_input_mutations_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inductor_multiple_specializations_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inf_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inner_fn_str_and_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inplace_activations_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inplace_add_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inplace_mixed_dtype_ops_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inplace_resize_as_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inplace_where_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_insignificant_strides_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_int8_weight_only_quant_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_int_input_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_invalid_operand_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_isin_tensor_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_isinf2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_isinf_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_issue102546_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_kernel_names_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_kwargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_l1_loss_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_broadcast_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_grid_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_offset_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_strided_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_tensor_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_layer_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_leaky_relu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_lerp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_lgamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linear1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linear2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linear_dynamic_maxautotune_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linear_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linear_mixed_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_list_clearing_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_log1p_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_log2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_log_fp64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_log_softmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logaddexp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logcumsumexp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logcumsumexp_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logsumexp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_long_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_low_memory_max_pool_dilation_1_dim_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_low_memory_max_pool_dilation_1_dim_3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_low_memory_max_pool_dilation_2_dim_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_low_memory_max_pool_dilation_2_dim_3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_fill_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_fill_promotion_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_matmul_layer_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_min_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d6_dilation_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d6_dilation_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mean_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_min_max_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_min_max_reduction_nan_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_misaligned_address_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mix_device_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mixed_mm2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mixed_mm3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mm_mixed_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mm_views_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_move_arange_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mul_index_expr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mul_softmax_symfloat_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_gpu_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_gpu_recompile_on_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_threading_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_any_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_prime_size_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_sum_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_var_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_var_lowp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mutable_custom_op_fixed_layout2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mutable_custom_op_fixed_layout_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mutations_loop_fusion_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_to_num_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_narrow_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_needs_contiguous_strides_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_neg_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_neg_max_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_new_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_new_empty_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_new_ones_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nll_loss_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nll_loss_forward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_mega_fusion_during_lowering_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_op_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_specization_over_symbolic_value_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nonzero_unbacked_refinement_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_norm_constant_overflow_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_one_hot_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_output_strides_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pad_cast_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pad_single_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pad_view_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pattern_matcher_multi_user_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_permute1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_permute2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_philox_rand_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pixel_shuffle_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_airy_ai_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_bessel_j0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_bessel_j1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_bessel_y0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_bessel_y1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_chebyshev_polynomial_u_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_chebyshev_polynomial_v_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_chebyshev_polynomial_w_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_digamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_entr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_erf_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_erfc_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_erfcx_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_erfinv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_exp2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_expit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_expm1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_gammainc_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_gammaincc_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_gammaln_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_hermite_polynomial_h_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_hermite_polynomial_he_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_i0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_i0e_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_i1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_i1e_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_laguerre_polynomial_l_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_legendre_polynomial_p_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_log1p_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_log_ndtr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_logit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_i0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_i1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_k1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_multigammaln_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_ndtr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_ndtri_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_polygamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_psi_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_scaled_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_scaled_modified_bessel_k1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_u_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_v_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_w_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_sinc_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_spherical_bessel_j0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_xlog1py_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_xlogy_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_zeta_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_polar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow_by_natural_log2_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow_int_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow_symfloat_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_prepare_softmax_with_fast_math_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_prod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_profiler_mark_wrapper_call_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_rand_like_deterministic_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_distribution_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_int64_mod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_kernel_count_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randn_generator_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randn_like_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randn_with_dtype_and_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reduction1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reduction2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reduction3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reduction4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reduction5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reduction_config_limit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reflection_pad2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reflection_pad2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reinterpret_dtypeview_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_relu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remainder_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_no_ops_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_clone_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_copy_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_slice1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_slice_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_view_default_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_view_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_as_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_replication_pad_errors_with_bool_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_require_stride_expanded_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_resize_as_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_resize_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reuse_buffers_with_aliasing_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_roi_align_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_roll_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_round_correctness_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_rsqrt_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_rsqrt_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scalar_cpu_tensor_arg_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scalar_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scalar_output_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scaled_dot_product_attention_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scaled_dot_product_efficient_attention_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_add1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_add2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_add3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_bf16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_reduce1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_reduce2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_reduce3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scheduler_vertical_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_True_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_True_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_unaligned_mask_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_unaligned_mask_freezing_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_searchsorted_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_searchsorted_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_select_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_setitem_with_int_parameter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sgn_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sgn_extremal_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_shape_padding_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_shape_prop_torch_ones_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_should_pad_bench_for_bmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sigmoid_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sign_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_signbit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_silu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_simplify_loops_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sin_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_single_elem_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_single_elem_indirect_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_size_asserts_for_multi_output_fallback_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sizehint_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_mutation1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_mutation2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_mutation3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_view_with_graph_break_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_softmax_backward_data_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_softmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_softmax_one_kernel_loop_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_softmax_one_kernel_persist_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_bool_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_stable_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_transpose_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_special_polygamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumprod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumprod_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumsum_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumsum_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumsum_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_failed_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_integer_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_sizes_with_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sqrt_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_squeeze1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_squeeze2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_squeeze_varargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_stack_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_std_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_stride_preservation_with_stride_modifying_fx_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_strided_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum_int_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum_keepdims_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tan_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tanh_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor_index_put_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor_index_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tmp_not_defined_issue1_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tmp_not_defined_issue2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tmp_not_defined_issue3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_to_device_constant_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_to_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_to_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_to_memory_format_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_topk_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_transpose_add_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_transpose_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_transposed_propagates_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_triu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_uint4x2_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_uint_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unbacked_floordiv_simplify_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unbacked_floordiv_simplify_errors_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unbind_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unfold_zero_dimension_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unroll_small_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unsqueeze_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unsqueeze_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_bicubic2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_bilinear2d_a_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_bilinear2d_b_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_cat_conv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_nearest1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_nearest2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_nearest2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_nearest3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_var_correction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_var_mean_tile_reduction_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_var_mean_tile_reduction_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vdd_clamp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vectorized_ops_masked_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vectorized_ops_masked_var_novec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vertical_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_as_complex_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_as_real_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_detach_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_on_aliased_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_uint8_through_differing_bitwidths_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_weight_norm_bwd_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_where_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_where_with_logical_op_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_xblock_divides_xnumel_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zero_dim_reductions_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zero_element_mutation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zeros_dynamic_shapes_cpu
2025-06-01T22:03:15.6130700Z 
2025-06-01T22:03:17.5093570Z Running optim/test_optim 1/1 ... [2025-06-01 22:03:17.509186]
2025-06-01T22:03:17.5094320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:03:17.5096440Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'optim/test_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:03:17.509466]
2025-06-01T22:03:19.3229910Z 
2025-06-01T22:03:19.3230680Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_5170564cefe884e1_.log
2025-06-01T22:03:19.3231090Z 
2025-06-01T22:03:21.2482260Z Running dynamo/test_torchrec 1/1 ... [2025-06-01 22:03:21.247987]
2025-06-01T22:03:21.2483170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:03:21.2484750Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:03:21.248276]
2025-06-01T22:03:23.2979580Z 
2025-06-01T22:03:23.2980560Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_a77dbb8cfc50578f_.log
2025-06-01T22:03:23.2981070Z Running 0 items in this shard:
2025-06-01T22:03:23.2981200Z 
2025-06-01T22:03:25.2494780Z Running test_ops 2/3 ... [2025-06-01 22:03:25.249288]
2025-06-01T22:03:25.2495470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:03:25.2497470Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:03:25.249572]
2025-06-01T22:07:22.9025240Z 
2025-06-01T22:07:22.9025790Z test_decomp 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.4_86d09b3a51322231_.log
2025-06-01T22:07:22.9437660Z Running 2187 items in this shard: test/test_decomp.py::TestDecompCPU::test_broadcasting_index_copy_cpu, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_digamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_digamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_digamma_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dot_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dot_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e4m3fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_frexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_geqrf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_histc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_histogramdd_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_hypot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hypot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_igammac_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_int16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_prelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_prelu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu6_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu6_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu6_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_rms_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_rrelu_cpu_bfloat16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softplus_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softshrink_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softshrink_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softsign_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softsign_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softsign_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_prod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_prod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_searchsorted_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_searchsorted_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sgn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_sgn_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sgn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sgn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sgn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_short_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_short_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sigmoid_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_sigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sigmoid_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sign_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_sign_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_bartlett_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_blackman_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_cosine_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_with_dtype_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_with_dtype_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_with_dtype_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_sort_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_sort_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sort_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cauchy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cauchy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_core_backward__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_baddbmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_index_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_index_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_native_dropout_backward_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_glu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_nuc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_renorm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_xlog1py_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_squeeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_squeeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_squeeze_multiple_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_stack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_transpose_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_unsafe_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_vdot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_xlogy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_rrelu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_silu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_silu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_silu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tril_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_GRU_train_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_eval_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_train_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_uniform_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_amp_batch_norm_backward_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_contiguous_log_softmax_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_elu_backward_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float16
2025-06-01T22:07:22.9855340Z 
2025-06-01T22:07:24.8756120Z Running test_ops 3/3 ... [2025-06-01 22:07:24.875421]
2025-06-01T22:07:24.8756880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:07:24.8758970Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:07:24.875718]
2025-06-01T22:10:00.6610720Z 
2025-06-01T22:10:00.6611380Z test_ops 2/3 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_2.3_85d496103c1d85fa_.log
2025-06-01T22:10:00.8878850Z Running 11405 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu___radd___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmatmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rpow___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_char_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_complex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_atleast_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_atleast_3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_bitwise_left_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_block_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_bucketize_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_column_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fliplr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_flipud_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_movedim_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_new_empty_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_new_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nextafter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_relu6_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_normal__in_place_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_permute_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_randn_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_special_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_special_xlog1py_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_unflatten_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_unsqueeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_view_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_view_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__unsafe_masked_index_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addmm_decomposed_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_as_strided_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bitwise_right_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu_block_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bool_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cauchy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cholesky_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_column_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_contiguous_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cov_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_diag_embed_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_diagonal_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_dsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_empty_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_expand_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_fft_ifftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_fliplr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_fmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_geometric_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_geqrf_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_hypot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_inner_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_isin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_ldexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_eigh_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_slogdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_mm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_movedim_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_multinomial_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_narrow_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_native_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_native_dropout_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nextafter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_embedding_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_glu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_relu6_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_ones_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_permute_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_rand_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_randint_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_randint_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_randn_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_resize_as__cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_resolve_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_rsub_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_xlog1py_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_std_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_std_mean_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_take_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_trapezoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_triangular_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_uniform_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unique_consecutive_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unsqueeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_var_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_view_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_view_as_real_cpu_complex64, test/test_ops.py::TestCommonCPU::test_compare_cpu_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_H_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_T_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_abs_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_bool_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_cdouble_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_conj_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_diag_embed_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_diagonal_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_eq_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_flatten_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_full_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_hsplit_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_imag_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_index_add_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_isinf_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_narrow_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_neg_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_new_full_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_new_ones_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_ones_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_rand_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_randn_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_real_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_split_with_sizes_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_transpose_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_tril_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unbind_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unfold_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unsafe_chunk_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unsqueeze_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_vstack_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_zeros_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_zeros_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_dtypes_H_cpu, test/test_ops.py::TestCommonCPU::test_dtypes___getitem___cpu, test/test_ops.py::TestCommonCPU::test_dtypes___rand___cpu, test/test_ops.py::TestCommonCPU::test_dtypes___rmod___cpu, test/test_ops.py::TestCommonCPU::test_dtypes___rmul___cpu, test/test_ops.py::TestCommonCPU::test_dtypes___rxor___cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_cdouble_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_int_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_abs_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_acos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_addcdiv_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_amax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_atan_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_atleast_2d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_bitwise_left_shift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_bitwise_xor_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_block_diag_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_broadcast_shapes_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_ceil_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_chunk_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_clamp_max_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_clone_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_column_stack_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_conj_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cosh_cpu, 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test/test_ops.py::TestCommonCPU::test_dtypes_trapezoid_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_triangular_solve_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_triu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unbind_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unbind_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unfold_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_uniform_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unravel_index_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unsqueeze_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_var_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_var_mean_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_var_unbiased_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_vdot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_view_as_complex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_view_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_vsplit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_xlogy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_zero__cpu, test/test_ops.py::TestCommonCPU::test_errors___rmod___cpu, test/test_ops.py::TestCommonCPU::test_errors___ror___cpu, test/test_ops.py::TestCommonCPU::test_errors_as_strided_scatter_cpu, test/test_ops.py::TestCommonCPU::test_errors_atan2_cpu, test/test_ops.py::TestCommonCPU::test_errors_bitwise_and_cpu, test/test_ops.py::TestCommonCPU::test_errors_cauchy_cpu, test/test_ops.py::TestCommonCPU::test_errors_copysign_cpu, test/test_ops.py::TestCommonCPU::test_errors_diag_cpu, test/test_ops.py::TestCommonCPU::test_errors_dstack_cpu, test/test_ops.py::TestCommonCPU::test_errors_eye_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_fft2_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_hfft_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_hfftn_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_irfft2_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_rfft_cpu, test/test_ops.py::TestCommonCPU::test_errors_fliplr_cpu, test/test_ops.py::TestCommonCPU::test_errors_float_power_cpu, test/test_ops.py::TestCommonCPU::test_errors_floor_divide_cpu, test/test_ops.py::TestCommonCPU::test_errors_fmin_cpu, test/test_ops.py::TestCommonCPU::test_errors_heaviside_cpu, test/test_ops.py::TestCommonCPU::test_errors_histogramdd_cpu, test/test_ops.py::TestCommonCPU::test_errors_hsplit_cpu, test/test_ops.py::TestCommonCPU::test_errors_igammac_cpu, test/test_ops.py::TestCommonCPU::test_errors_index_add_cpu, test/test_ops.py::TestCommonCPU::test_errors_kthvalue_cpu, test/test_ops.py::TestCommonCPU::test_errors_ldexp_cpu, test/test_ops.py::TestCommonCPU::test_errors_linalg_cross_cpu, test/test_ops.py::TestCommonCPU::test_errors_linalg_lstsq_cpu, test/test_ops.py::TestCommonCPU::test_errors_linalg_lstsq_grad_oriented_cpu, test/test_ops.py::TestCommonCPU::test_errors_logical_or_cpu, test/test_ops.py::TestCommonCPU::test_errors_logical_xor_cpu, test/test_ops.py::TestCommonCPU::test_errors_lt_cpu, test/test_ops.py::TestCommonCPU::test_errors_masked_select_cpu, test/test_ops.py::TestCommonCPU::test_errors_maximum_cpu, test/test_ops.py::TestCommonCPU::test_errors_mean_cpu, test/test_ops.py::TestCommonCPU::test_errors_min_binary_cpu, test/test_ops.py::TestCommonCPU::test_errors_movedim_cpu, test/test_ops.py::TestCommonCPU::test_errors_native_layer_norm_cpu, test/test_ops.py::TestCommonCPU::test_errors_ne_cpu, test/test_ops.py::TestCommonCPU::test_errors_nextafter_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_adaptive_max_pool2d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_adaptive_max_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_avg_pool1d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_conv3d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_hinge_embedding_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_margin_ranking_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_max_pool2d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_multi_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_soft_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_triplet_margin_with_distance_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_ormqr_cpu, test/test_ops.py::TestCommonCPU::test_errors_polar_cpu, test/test_ops.py::TestCommonCPU::test_errors_reshape_as_cpu, test/test_ops.py::TestCommonCPU::test_errors_rot90_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_general_hamming_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_hamming_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_hann_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_kaiser_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_nuttall_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_mul_layout0_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_mul_layout4_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_randn_like_layout3_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_zeros_like_layout0_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_zeros_like_layout1_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_legendre_polynomial_p_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_shifted_chebyshev_polynomial_u_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_xlog1py_cpu, test/test_ops.py::TestCommonCPU::test_errors_sum_to_size_cpu, test/test_ops.py::TestCommonCPU::test_errors_t_cpu, test/test_ops.py::TestCommonCPU::test_errors_take_cpu, test/test_ops.py::TestCommonCPU::test_errors_tril_cpu, test/test_ops.py::TestCommonCPU::test_errors_true_divide_cpu, test/test_ops.py::TestCommonCPU::test_errors_vdot_cpu, test/test_ops.py::TestCommonCPU::test_errors_where_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch__batch_norm_with_update_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_acosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addmm_decomposed_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_alias_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_all_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_aminmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_angle_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_any_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_asin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ceil_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cholesky_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cos_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cummin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_fft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_irfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_rfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_rfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_float_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fmod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_frexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_hypot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_igamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isneginf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ldexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_le_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eigh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_householder_product_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_vecdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_vector_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log1p_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_xor_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lt_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_msort_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_multinomial_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_outer_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sign_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_bessel_j1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_bessel_y0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i0e_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_xlog1py_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_take_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tan_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_trunc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_H_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_T_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___radd___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___radd___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rdiv___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmod___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___ror___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rpow___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__batch_norm_with_update_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__chunk_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acos_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acos_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_alias_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_angle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_any_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_arange_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_arange_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_asinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_atanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_baddbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_baddbmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_not_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_shapes_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cartesian_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cauchy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdouble_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdouble_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cfloat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_chalf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_chalf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cholesky_inverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_max_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_min_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_contiguous_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_corrcoef_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_count_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_embed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diff_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_floor_rounding_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_eq_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_erf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expm1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_flatten_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_flatten_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_flip_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_flipud_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_divide_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_gather_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_gcd_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ge_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_geometric_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_geqrf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gradient_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_i0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_put_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_inner_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_int_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_int_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isclose_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isfinite_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isfinite_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isnan_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_4inputs_with_extra_args_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_return_by_ref_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_unary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_kthvalue_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lcm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_le_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_lgamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_lgamma_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_pinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_tensorinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_vander_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_vecdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log10_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log10_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_softmax_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_not_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_or_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_or_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mH_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mT_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mT_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_var_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_var_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_matrix_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_median_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_list_of_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_reduction_no_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_reduction_with_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanmedian_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nansum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_layer_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ne_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_cosine_embedding_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_linear_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_local_response_norm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_margin_ranking_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_mish_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_circular_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_negative_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pairwise_distance_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_unshuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu6_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softmin_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softsign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_threshold_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_threshold_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_fro_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_normal_in_place_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diag_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diag_embed_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagflat_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagflat_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_scatter_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dist_cpu_complex64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fftn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfftn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifftn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifftshift_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifftshift_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_rfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_flatten_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_flatten_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_flatten_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_flip_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_power_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fmod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_frac_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_gather_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_geometric_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_gradient_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_gradient_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_half_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_hsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_i0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_fill_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_put_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_put_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_inner_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_int_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isclose_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isclose_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isfinite_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isnan_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isnan_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isreal_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_item_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_item_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_2inputs_2outputs_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_unary_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_unary_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_kron_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_kron_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_le_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_le_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lerp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cholesky_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cond_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_diagonal_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eig_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_factor_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_multi_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_pinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_pinv_hermitian_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_qr_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_solve_triangular_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_svd_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linspace_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linspace_tensor_overload_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linspace_tensor_overload_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log1p_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log1p_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log1p_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_not_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_long_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_long_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lt_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lu_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lu_unpack_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mH_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mH_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_argmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumprod_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_logsumexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_normalize_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_sum_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_var_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_var_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_maximum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_maximum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_list_of_tensors_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_list_of_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_variadic_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_min_reduction_with_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_minimum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mm_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_movedim_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_movedim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mul_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mul_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mv_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nan_to_num_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nanmedian_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_narrow_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_narrow_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_native_dropout_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ne_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_neg_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_empty_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_empty_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_full_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_zeros_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nextafter_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_celu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_channel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv1d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose3d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_glu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardtanh_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_linear_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_linear_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_mish_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_normalize_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_constant_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_reflect_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pairwise_distance_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_shuffle_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_unshuffle_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_prelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu6_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_rms_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_silu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softmin_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_threshold_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_unfold_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_inf_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_nuc_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_normal_in_place_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ones_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ones_like_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ones_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ones_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ormqr_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_outer_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pca_lowrank_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_permute_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_polygamma_polygamma_n_0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_positive_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pow_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_prod_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_put_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_qr_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rand_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randint_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randint_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randint_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randn_like_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ravel_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ravel_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_real_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_real_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_real_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_remainder_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_repeat_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_repeat_interleave_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_reshape_as_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_reshape_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_reshape_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resize__cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resolve_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resolve_neg_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_roll_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rot90_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rsqrt_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rsub_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_searchsorted_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_select_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sigmoid_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_blackman_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_hamming_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sin_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_slice_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_slice_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sort_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_bessel_y0_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_w_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_erfcx_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_laguerre_polynomial_l_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_legendre_polynomial_p_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_log_ndtr_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_modified_bessel_i0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_modified_bessel_i1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_v_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_spherical_bessel_j0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_xlog1py_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_zeta_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_list_args_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_with_sizes_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_with_sizes_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_with_sizes_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_square_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_multiple_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_multiple_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_trace_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_transpose_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_transpose_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_transpose_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_triu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unbind_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unbind_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unbind_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unfold_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unfold_copy_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_masked_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_masked_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_msort_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_multinomial_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_native_layer_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_ne_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_float_power_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_full_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_hypot_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_inner_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_inner_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lerp_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cholesky_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cond_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eig_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eigh_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eigvals_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_householder_product_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_householder_product_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lstsq_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lu_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lu_factor_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lu_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_multi_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_qr_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_tensorinv_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_tensorsolve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_vecdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linspace_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log10_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logaddexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logcumsumexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logspace_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logsumexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_masked_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_matmul_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mean_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mean_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_pow_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_reciprocal_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_renorm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_round_decimals_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sin_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sinc_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sinh_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_i1e_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_log_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sqrt_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_square_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_squeeze_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_std_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sub_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_triangular_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_triangular_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_true_divide_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_unbind_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_unbind_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_var_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_zeros_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_reshape_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_resolve_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_round_decimals_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_scalar_tensor_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_select_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_sign_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_signal_windows_blackman_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_signbit_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_sort_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_bessel_j1_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_bessel_y1_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_erfcx_cpu_float32, 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test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_take_along_dim_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tan_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tanh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_trace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unbind_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unflatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_add_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_addcmul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_addmm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_argwhere_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_partial_views_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_asin_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_bfloat16_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_bool_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_broadcast_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cartesian_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_char_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cholesky_inverse_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cholesky_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_chunk_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_clone_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_column_stack_cpu_complex64, 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test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_hfftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_ifft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_irfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_full_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_hsplit_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_hstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_imag_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_put_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isfinite_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isinf_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_binary_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_binary_return_by_ref_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_unary_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_kron_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lerp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cross_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_det_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_diagonal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eig_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_ldl_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lstsq_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lstsq_grad_oriented_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_power_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_rank_hermitian_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_hermitian_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_qr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_svd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_vecdot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linspace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log1p_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_softmax_with_dtype_cpu_complex64, 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test/test_ops.py::TestMathBitsCPU::test_conj_view_neg_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_ones_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_zeros_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv_transpose1d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_l1_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_linear_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_constant_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_replicate_negative_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_rms_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nonzero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ormqr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_outer_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pinverse_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pow_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ravel_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_renorm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_reshape_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_resolve_conj_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_resolve_neg_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_roll_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rot90_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rsqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sgn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sigmoid_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_list_args_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_with_sizes_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_with_sizes_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_square_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_mean_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sub_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sum_to_size_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_svd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_t_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_take_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tril_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_triu_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unbind_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unflatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_as_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_vstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_H_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rsub___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_T_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_cdouble_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_cfloat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_chalf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_char_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_double_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_half_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_int_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_add_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atleast_3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_broadcast_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_column_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_conj_physical_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_contiguous_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cumsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_dsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_empty_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_eq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_equal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_exp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expand_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expm1_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_fft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_fftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_irfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fliplr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_add_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isclose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isnan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isreal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_lerp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log10_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log1p_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logsumexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_movedim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_narrow_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_narrow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_empty_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_positive_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_ravel_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sigmoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sinc_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_special_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_special_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_std_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_stft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sum_to_size_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_t_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_t_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_take_along_dim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tril_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unfold_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_acosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_add_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_as_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bfloat16_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cartesian_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_char_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_clone_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_column_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_conj_physical_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_corrcoef_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diff_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dist_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expm1_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_hfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_half_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_imag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_add_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isnan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_istft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_2inputs_2outputs_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_binary_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_det_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_eigvals_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_inv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_matrix_power_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_matrix_rank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_multi_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_pinv_hermitian_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_solve_triangular_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_svdvals_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_tensorinv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logdet_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_and_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_not_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_or_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_long_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mT_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_matrix_exp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_movedim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_narrow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ne_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_channel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv_transpose3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_linear_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_normalize_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_circular_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_constant_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_replicate_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pairwise_distance_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_softsign_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_tanhshrink_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ormqr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_outer_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pca_lowrank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_permute_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pinverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_positive_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_put_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_qr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reciprocal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_renorm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resize_as__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resolve_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scalar_tensor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_slice_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sparse_sampled_addmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_split_with_sizes_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_squeeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_mean_unbiased_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_unbiased_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_stft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_svd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_t_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tensordot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_to_sparse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trapezoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_true_divide_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unfold_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsafe_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsqueeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_var_mean_unbiased_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_var_unbiased_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_as_real_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_where_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zeros_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view___rpow___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rsub___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__batch_norm_with_update_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_T_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_bfloat16_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_bool_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_chalf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_int_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_acos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_acosh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_all_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_any_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atleast_1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ceil_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_clamp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_physical_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_count_nonzero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cumsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_div_trunc_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_dot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_dstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_erfinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_exp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expand_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expand_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expand_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_hfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_hfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_hfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ifftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ihfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ihfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_rfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fliplr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_floor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hypot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_i0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_igammac_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isneginf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_item_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_le_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_vector_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log1p_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_and_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_not_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_lt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_narrow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nextafter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_channel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_elu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_gelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_group_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_huber_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mse_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_relu6_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_smooth_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_softplus_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_normal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_permute_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_permute_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_repeat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_roll_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_i1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_log_ndtr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_split_with_sizes_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sqrt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_square_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_t_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_take_along_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_trunc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unbind_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_var_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_where_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_xlogy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__segment_reduce_lengths_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__upsample_bilinear2d_aa_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_add_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addbmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_all_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_arange_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_argwhere_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_partial_views_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_asin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_asinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atan2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_baddbmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bool_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cfloat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_char_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cholesky_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cholesky_inverse_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clamp_min_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clone_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_conj_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_constant_pad_nd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_contiguous_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_corrcoef_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cosh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cummax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_deg2rad_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diag_embed_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_digamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_no_rounding_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_dot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_equal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_erf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_flipud_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_frexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_full_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ge_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_grid_sampler_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histogram_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_hstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_add_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_int_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isneginf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_2inputs_2outputs_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_4inputs_with_extra_args_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_binary_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_kthvalue_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cond_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_inv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_inv_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_factor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_rank_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_pinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_slogdet_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_solve_triangular_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_svd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vector_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log10_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logcumsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lu_unpack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mT_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_argmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_argmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_cumsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_median_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_matmul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_pool2d_with_indices_backward_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_reduction_with_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_maximum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_meshgrid_variadic_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_min_binary_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_min_reduction_no_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nan_to_num_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nanmean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nansum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_full_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_zeros_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_avg_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_avg_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_avg_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_channel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv_transpose1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_cross_entropy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_ctc_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_grid_sample_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_hardsigmoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_huber_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_area_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_bilinear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_trilinear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_kl_div_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_leaky_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_linear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_margin_ranking_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool1d_grad_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_normalize_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_replicate_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pixel_unshuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_prelu_cpu_float64, 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test/test_ops.py::TestMathBitsCPU::test_neg_view_permute_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_pow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_qr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rand_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randint_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ravel_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_real_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_reciprocal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_reshape_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_resize_as__cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rot90_cpu_float64, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_igammac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isposinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_istft_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_jiterator_unary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_lcm_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_le_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logical_not_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_long_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_argmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ormqr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polar_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rot90_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_blackman_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_hann_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signbit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_y1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_scaled_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_as_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_left_shift_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_cartesian_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_copysign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_count_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rmatmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rpow___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_acos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addcdiv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addmv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atan2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_broadcast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ihfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_flip_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_T_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rsub___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_abs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_acos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_acosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addcdiv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_angle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cov_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flip_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_frac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_prelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_ormqr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rot90_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsqueeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_xlogy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_deg2rad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_div_trunc_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_equal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_eye_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_flip_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_histogramdd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_igammac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isposinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_item_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lcm_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_ldexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_or_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_narrow_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_blackman_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_hann_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_y1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_torch__scaled_mm_cpu_float8_e4m3fn, test/test_ops.py::TestFakeTensorCPU::test_fake_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unique_consecutive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_var_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___radd___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rand___cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rdiv___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___ror___cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rpow___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rsub___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__batch_norm_with_update_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_allclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argsort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argwhere_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_and_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_not_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_xor_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bucketize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_byte_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_contiguous_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_copysign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cummin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_deg2rad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_empty_permuted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_eq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_equal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_eye_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_irfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gcd_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ge_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_histc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_imag_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_int_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isnan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isreal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_istft_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_le_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log1p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_or_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_long_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randint_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randint_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_remainder_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_searchsorted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_blackman_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_hann_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_bessel_j1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tril_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unique_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unravel_index_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsqueeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_zeros_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int8, test/test_ops.py::TestTagsCPU::test_tags_H_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_T_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___rmod___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___ror___cpu_int64, test/test_ops.py::TestTagsCPU::test_tags___rxor___cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_T_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_byte_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_complex_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_double_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_half_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_short_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_abs_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_acosh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_add_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_addcdiv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_addr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_alias_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_arange_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_partial_views_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_asinh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_bitwise_xor_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_block_diag_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_broadcast_shapes_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_conj_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_contiguous_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_count_nonzero_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_diag_embed_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_diagonal_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_dot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_empty_like_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_erf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exp2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_expand_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exponential_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_eye_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_fft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_fftn_cpu_float32, 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test/test_ops.py::TestTagsCPU::test_tags__refs_isinf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isneginf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isreal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_lcm_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_le_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_lerp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_lgamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linalg_cross_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linalg_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linalg_svdvals_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log1p_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logaddexp2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logspace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_movedim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_mul_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_native_layer_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_new_empty_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_new_full_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_new_zeros_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nextafter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_dropout_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_hardshrink_cpu_float32, 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2025-06-01T22:10:01.1085120Z 
2025-06-01T22:10:02.7042550Z Running test_serialization 1/1 ... [2025-06-01 22:10:02.704072]
2025-06-01T22:10:02.7043330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:10:02.7045430Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_serialization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:10:02.704357]
2025-06-01T22:10:38.9426170Z 
2025-06-01T22:10:38.9427460Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_c4af68af5ec0cfb7_.log
2025-06-01T22:10:38.9475550Z Running 201 items in this shard: test/test_serialization.py::TestOldSerialization::test_debug_set_in_ci, 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_invalid_legacy_ctor, 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::TestOldSerialization::test_skip_data_load, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_False_filename_False, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_False_filename_True, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_True_filename_False, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_True_filename_True, test/test_serialization.py::TestSerialization::test_debug_set_in_ci, test/test_serialization.py::TestSerialization::test_filewriter_metadata_writing_filename_False, test/test_serialization.py::TestSerialization::test_filewriter_metadata_writing_filename_True, test/test_serialization.py::TestSerialization::test_get_unsafe_globals_in_checkpoint, test/test_serialization.py::TestSerialization::test_has_format_version, test/test_serialization.py::TestSerialization::test_load_error_msg, test/test_serialization.py::TestSerialization::test_load_njt_weights_only_should_import_False, test/test_serialization.py::TestSerialization::test_load_njt_weights_only_should_import_True, 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_mmap_load_offset_calculation_path_type0, test/test_serialization.py::TestSerialization::test_mmap_load_offset_calculation_path_type1, 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_save_load_preserves_dtype_bfloat16_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bfloat16_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bool_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bool_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex128_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex128_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex64_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex64_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float16_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float16_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float32_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float32_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float64_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float64_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int16_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int16_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int32_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int32_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int64_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int64_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int8_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int8_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_uint8_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_uint8_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization, 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_byte_literal_byte_literals0_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals0_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals1_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals1_weights_only_True, 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_dtype_uint16_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint16_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint32_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint32_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint64_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint64_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, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_ctx, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type0_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type0_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type1_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type1_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_with_map_location, test/test_serialization.py::TestSerialization::test_serialization_nested_class, test/test_serialization.py::TestSerialization::test_serialization_offset_gzip, test/test_serialization.py::TestSerialization::test_serialization_python_attr_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_python_attr_weights_only_True, 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_invalid_legacy_ctor, 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_uintx_intx, test/test_serialization.py::TestSerialization::test_serialization_warning_s390x, test/test_serialization.py::TestSerialization::test_serialization_with_header, 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_skip_data_load, test/test_serialization.py::TestSerialization::test_skip_data_serialization_error_cases, test/test_serialization.py::TestSerialization::test_skip_data_serialization_materialize_fake_False, test/test_serialization.py::TestSerialization::test_skip_data_serialization_materialize_fake_True, test/test_serialization.py::TestSerialization::test_skip_data_serialization_preserves_views_materialize_fake_False, test/test_serialization.py::TestSerialization::test_skip_data_serialization_preserves_views_materialize_fake_True, test/test_serialization.py::TestSerialization::test_storage_alignment, test/test_serialization.py::TestSerialization::test_use_pinned_memory_for_d2h, test/test_serialization.py::TestSerialization::test_weights_only_assert, test/test_serialization.py::TestSerialization::test_weights_only_env_variables_force_weights_only_False, test/test_serialization.py::TestSerialization::test_weights_only_env_variables_force_weights_only_True, test/test_serialization.py::TestSerialization::test_weights_only_error_unsafe_global_False, test/test_serialization.py::TestSerialization::test_weights_only_error_unsafe_global_True, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_blocklist, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build_with_slots_slots_all, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build_with_slots_slots_some, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_newobj, 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_safe_globals_context_manager_weights_only, test/test_serialization.py::TestSubclassSerialization::test_safe_globals_for_weights_only, test/test_serialization.py::TestSubclassSerialization::test_sets_are_loadable_with_weights_only, 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_map_location, 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
2025-06-01T22:10:38.9521670Z 
2025-06-01T22:10:41.0485820Z Running dynamo/test_recompile_ux 1/1 ... [2025-06-01 22:10:41.048400]
2025-06-01T22:10:41.0486630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:10:41.0489080Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:10:41.048705]
2025-06-01T22:10:43.8586390Z 
2025-06-01T22:10:43.8587440Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_4fb37fa7a323f281_.log
2025-06-01T22:10:43.8590290Z Running 10 items in this shard: test/dynamo/test_recompile_ux.py::RecompileUxTests::test_drop_cache_on_skip, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_dynamic_input, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_fail_on_recompile_limit_hit, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_loop_torture, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_mismatched_type, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_multiple_guard_fails, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_multiple_guard_fails_report_all, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_nvfuser_guards, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_recompile_child_run_only, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_verbose_tensor_check
2025-06-01T22:10:43.8592690Z 
2025-06-01T22:10:45.9263200Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-06-01 22:10:45.926105]
2025-06-01T22:10:45.9264100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:10:45.9266150Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_pocketfft.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:10:45.926382]
2025-06-01T22:10:49.3312950Z 
2025-06-01T22:10:49.3313610Z torch_np/numpy_tests/fft/test_pocketfft 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_6b91578924715dd7_.log
2025-06-01T22:10:49.3332980Z Running 79 items in this shard: test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTShift::test_fft_n, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_all_1d_norm_preserving, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_axes_op0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_axes_op1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_axes_op2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_axes_op3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_dtypes_dtype0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_dtypes_dtype1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_dtypes_dtype2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fftn, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_hfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_identity, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft_norm0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft_norm_backward, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft_norm_forward, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft_norm_ortho, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifftn, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ihfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_irfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_irfft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_irfftn, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_rfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_rfft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_rfftn, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTThreadSafe::test_fft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTThreadSafe::test_ifft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTThreadSafe::test_irfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTThreadSafe::test_rfft
2025-06-01T22:10:49.3350970Z 
2025-06-01T22:10:51.2966850Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-06-01 22:10:51.296503]
2025-06-01T22:10:51.2973420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:10:51.2975740Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_base_.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:10:51.296788]
2025-06-01T22:10:53.7516640Z 
2025-06-01T22:10:53.7517540Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_abee28e931333c03_.log
2025-06-01T22:10:53.7533430Z Running 73 items in this shard: test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_argequivalent, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_broadcast, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_empty, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_invalid, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestPutAlongAxis::test_broadcast, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestPutAlongAxis::test_replace_max, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_0d_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_3d, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_axis_insertion, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_axis_insertion_ma, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_empty, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_scalar_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_simple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_simple101, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_tuple_func1d, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_with_iterable_object, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyOverAxes::test_simple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_axis_out_of_range, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_axis_tuple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_functionality, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_repeated_axis, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_index_split_high_bound, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_index_split_low_bound, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_index_split_simple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_0_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_cols, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_default, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_rows, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_rows_greater_max_int32, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSplit::test_equal_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSplit::test_unequal_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_1D_arrays, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_2D_arrays, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_generator, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_2D_array2, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_generator, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_3D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_basic, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_basic_2, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_axis, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_axis_handling, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_contiguous, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_type, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_basic, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a0_shape_b0, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a1_shape_b1, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a2_shape_b2, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a3_shape_b3, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a4_shape_b4, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a5_shape_b5, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_basic, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_empty, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_kroncompare, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_tile_one_repetition_on_array_gh4679, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestMayShareMemory::test_basic
2025-06-01T22:10:53.7548440Z 
2025-06-01T22:10:55.7273270Z Running nn/test_init 1/1 ... [2025-06-01 22:10:55.727151]
2025-06-01T22:10:55.7274590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:10:55.7276630Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'nn/test_init.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:10:55.727457]
2025-06-01T22:11:00.6926830Z 
2025-06-01T22:11:00.6927830Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_3697ba7794361904_.log
2025-06-01T22:11:00.6933060Z 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
2025-06-01T22:11:00.6937990Z 
2025-06-01T22:11:02.7336110Z Running test_mkldnn 1/1 ... [2025-06-01 22:11:02.733430]
2025-06-01T22:11:02.7336820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:11:02.7338960Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_mkldnn.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:11:02.733711]
2025-06-01T22:11:05.0778190Z 
2025-06-01T22:11:05.0778890Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_325a718c014e9bb9_.log
2025-06-01T22:11:05.0793970Z Running 86 items in this shard: test/test_mkldnn.py::TestMkldnnCPU::test_0_dimension_tensor_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_adaptive_avg_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_adaptive_avg_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_add_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_autograd_from_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_autograd_to_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_stride_none_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_clone_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv1d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv1d_functional_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv2d_legacy_jit_model_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_1d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_1d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_2d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_2d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_3d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_3d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_fp32_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose1d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_fp32_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conversion_byte_char_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conversion_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_copy_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_detach_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_empty_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_gelu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_gelu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_is_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_is_mkldnn_jit_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_legacy_new_failure_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_backward_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_lowp_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_linear_lowp_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_linear_non_contiguous_weight_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_lstm_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_matmul_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_matmul_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_stride_none_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool_unsupported_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_conv_shapecheck_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_error_on_zero_stride_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_scaled_mm_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_setflags_nowarn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mul_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_prelu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_prelu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu__cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_inplace_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_repr_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_backward_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_blocked_format_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_resnet18_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_resnext50_32x4d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_set_data_tensorimpl_type_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_sigmoid_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_softmax_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_tanh_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_transpose_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_transpose_invalid_dime_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_unsupported_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_view_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_zero__cpu
2025-06-01T22:11:05.0806830Z 
2025-06-01T22:11:07.1341120Z Running test_mkldnn_fusion 1/1 ... [2025-06-01 22:11:07.133909]
2025-06-01T22:11:07.1341890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:11:07.1344030Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:11:07.134202]
2025-06-01T22:11:09.2335570Z 
2025-06-01T22:11:09.2336120Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_dcb0dd83e21fb89b_.log
2025-06-01T22:11:09.2338010Z Running 8 items in this shard: test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_binary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_transpose_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_nnc, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_linear_binary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_linear_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_single_conv, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_unsupported_conv
2025-06-01T22:11:09.2339540Z 
2025-06-01T22:11:11.3447770Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-06-01 22:11:11.344592]
2025-06-01T22:11:11.3448640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:11:11.3451730Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:11:11.344873]
2025-06-01T22:11:13.6904100Z 
2025-06-01T22:11:13.6905610Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_200fa6287868b063_.log
2025-06-01T22:11:13.6937450Z Running 53 items in this shard: test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dlpack_destructor_exception, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dlpack_device, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype1, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype2, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype3, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype4, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype5, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype6, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype7, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype8, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype9, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dunder_dlpack_refcount, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dunder_dlpack_stream, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_from_dlpack_refcount, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_from_torch, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_1, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_10, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_11, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_12, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_13, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_14, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_15, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_16, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_17, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_18, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_19, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_2, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_20, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_21, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_22, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_23, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_24, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_25, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_26, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_27, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_28, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_29, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_3, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_30, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_31, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_32, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_4, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_5, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_6, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_7, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_8, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_9, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_ndim0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_non_contiguous, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_readonly, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_to_torch
2025-06-01T22:11:13.6948880Z 
2025-06-01T22:11:15.8219080Z Running test_xnnpack_integration 1/1 ... [2025-06-01 22:11:15.821735]
2025-06-01T22:11:15.8219880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:11:15.8222410Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:11:15.822010]
2025-06-01T22:11:21.3008800Z 
2025-06-01T22:11:21.3009610Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_2f0367db86d497a5_.log
2025-06-01T22:11:21.3012540Z Running 12 items in this shard: test/test_xnnpack_integration.py::TestXNNPACKOps::test_conv2d, test/test_xnnpack_integration.py::TestXNNPACKOps::test_conv2d_transpose, test/test_xnnpack_integration.py::TestXNNPACKOps::test_linear, test/test_xnnpack_integration.py::TestXNNPACKOps::test_linear_1d_input, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_combined_model, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_conv2d, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_conv2d_transpose, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_linear, test/test_xnnpack_integration.py::TestXNNPACKRewritePass::test_decomposed_linear, test/test_xnnpack_integration.py::TestXNNPACKRewritePass::test_linear, test/test_xnnpack_integration.py::TestXNNPACKConv1dTransformPass::test_conv1d_basic, test/test_xnnpack_integration.py::TestXNNPACKConv1dTransformPass::test_conv1d_with_relu_fc
2025-06-01T22:11:21.3014900Z 
2025-06-01T22:11:23.2502330Z Running dynamo/test_guard_manager 1/1 ... [2025-06-01 22:11:23.250026]
2025-06-01T22:11:23.2503130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:11:23.2505140Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:11:23.250306]
2025-06-01T22:11:25.6201400Z 
2025-06-01T22:11:25.6202840Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_86e29a12a850c428_.log
2025-06-01T22:11:25.6209710Z Running 31 items in this shard: test/dynamo/test_guard_manager.py::GuardManagerTests::test_attr_guard_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_call_function_no_args_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_clone, test/dynamo/test_guard_manager.py::GuardManagerTests::test_default_device_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dict_contains_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dict_getitem_accessor, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dict_guard_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dict_version_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_diff_guard_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dynamic_indices_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_equals_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_framelocals_accessor, test/dynamo/test_guard_manager.py::GuardManagerTests::test_framelocals_guard_e2e, test/dynamo/test_guard_manager.py::GuardManagerTests::test_global_state_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_global_state_reason, test/dynamo/test_guard_manager.py::GuardManagerTests::test_global_weakref, test/dynamo/test_guard_manager.py::GuardManagerTests::test_globals, test/dynamo/test_guard_manager.py::GuardManagerTests::test_guard_manager_leaf_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_id_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_item_guard_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_lambda_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_length_check_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_no_hasattr_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_no_tensor_aliasing_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_python_lambda_leaf_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_tensor_aliasing_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_tensor_match_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_tuple_iterator_getitem, test/dynamo/test_guard_manager.py::GuardManagerTests::test_type_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_type_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_weakref_alive_guard
2025-06-01T22:11:25.6216110Z 
2025-06-01T22:11:27.5666810Z Running profiler/test_memory_profiler 1/1 ... [2025-06-01 22:11:27.566475]
2025-06-01T22:11:27.5667630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:11:27.5669560Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:11:27.566760]
2025-06-01T22:11:31.8775940Z 
2025-06-01T22:11:31.8776620Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_7d5287d7f1aab84b_.log
2025-06-01T22:11:31.8787120Z Running 33 items in this shard: test/profiler/test_memory_profiler.py::TestMemoryProfiler::test_config_check, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_module, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_module_and_optimizer, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_low_level, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_complicated, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_non_op_allocations, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_simple, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_simple_backward, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_simple_inplace, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_stacked, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_with_annotations, test/profiler/test_memory_profiler.py::TestDataFlow::test_match_schemas, test/profiler/test_memory_profiler.py::TestDataFlow::test_match_schemas_backward, test/profiler/test_memory_profiler.py::TestDataFlow::test_match_schemas_tensorlist, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_sequential_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_sequential_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_fwd_bwd_step, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_module_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_module_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_module_fwd_bwd_step, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_inputs_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_inputs_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_inputs_fwd_lazy, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_lazily_initialized, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_manual_optimizer_step, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_memory_timeline, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_parameters_and_gradients, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_parameters_and_gradients_set_to_none, test/profiler/test_memory_profiler.py::TestMemoryProfilerTimelineCPU::test_memory_timeline_no_id_cpu
2025-06-01T22:11:31.8795200Z 
2025-06-01T22:11:33.8416910Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-06-01 22:11:33.841503]
2025-06-01T22:11:33.8417820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:11:33.8419950Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:11:33.841796]
2025-06-01T22:11:36.0697780Z 
2025-06-01T22:11:36.0698380Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_d4ed9b3e16e6e20c_.log
2025-06-01T22:11:36.0715290Z Running 65 items in this shard: test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_bool, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_floating, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_floating_overflow, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromInt::test_intp, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromInt::test_uint64_from_negative, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t23, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t23, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t23
2025-06-01T22:11:36.0731360Z 
2025-06-01T22:11:38.0269970Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-06-01 22:11:38.026818]
2025-06-01T22:11:38.0270910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:11:38.0273320Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:11:38.027107]
2025-06-01T22:11:40.2695060Z 
2025-06-01T22:11:40.2695960Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_2e0c37602a10a1b5_.log
2025-06-01T22:11:40.2706340Z Running 34 items in this shard: test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_loses1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_loses2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_both_abstract, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_nondtype_nonscalartype, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_same, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_sibling_class, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_subclass, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_subclass_backwards, test/torch_np/numpy_tests/core/test_numerictypes.py::TestBitName::test_abstract, test/torch_np/numpy_tests/core/test_numerictypes.py::TestDocStrings::test_platform_dependent_aliases, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t0, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t4, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t5, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t6, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t7, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t8, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t9, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_unique, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t0, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t4, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t5, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t6, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t7, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t8, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t9
2025-06-01T22:11:40.2715550Z 
2025-06-01T22:11:42.2402930Z Running test_type_promotion 1/1 ... [2025-06-01 22:11:42.240127]
2025-06-01T22:11:42.2403670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:11:42.2406340Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_type_promotion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:11:42.240421]
2025-06-01T22:11:45.7854860Z 
2025-06-01T22:11:45.7855880Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_7f5c0b83461c7a1d_.log
2025-06-01T22:11:45.7958940Z Running 423 items in this shard: test/test_type_promotion.py::TestTypePromotionCPU::test_add_wrapped_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alpha_mismatch_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alternate_result_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_bfloat16_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_booleans_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_can_cast_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_out_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_float64, 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test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_tensor_vs_scalar_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_add_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_mul_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_sub_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_ternary_out_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_transpose_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unsigned_cpu
2025-06-01T22:11:45.8059160Z 
2025-06-01T22:11:47.7519680Z Running test_function_schema 1/1 ... [2025-06-01 22:11:47.751787]
2025-06-01T22:11:47.7520440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:11:47.7522490Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_function_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:11:47.752064]
2025-06-01T22:11:50.0407200Z 
2025-06-01T22:11:50.0408040Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_fee4abda31649fae_.log
2025-06-01T22:11:50.0411810Z Running 15 items in this shard: test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_arguments, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_outputs, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_structure, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_with_smart_serialization, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_real_use_case, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_with_out, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_without_out, test/test_function_schema.py::TestFunctionSchema::test_hash_schema, test/test_function_schema.py::TestFunctionSchema::test_out_schema, test/test_function_schema.py::TestFunctionSchema::test_schema_error, test/test_function_schema.py::TestFunctionSchema::test_serialize_and_deserialize, test/test_function_schema.py::TestFunctionSchema::test_string_optional_parameter_default_value, test/test_function_schema.py::TestFunctionSchema::test_sym_int_argument_properly_parsed, test/test_function_schema.py::TestFunctionSchema::test_tensor_list_alias_annotation_properly_parsed, test/test_function_schema.py::TestFunctionSchema::test_tensor_option_arguments_properly_parsed
2025-06-01T22:11:50.0415260Z 
2025-06-01T22:11:52.0071800Z Running lazy/test_debug_util 1/1 ... [2025-06-01 22:11:52.006995]
2025-06-01T22:11:52.0072560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:11:52.0074600Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'lazy/test_debug_util.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:11:52.007275]
2025-06-01T22:11:54.1837300Z 
2025-06-01T22:11:54.1844680Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_0ba62711b0efaf70_.log
2025-06-01T22:11:54.1845510Z Running 1 items in this shard: test/lazy/test_debug_util.py::DebugUtilTest::test_get_python_frames
2025-06-01T22:11:54.1845810Z 
2025-06-01T22:11:56.1749200Z Running torch_np/test_reductions 1/1 ... [2025-06-01 22:11:56.174710]
2025-06-01T22:11:56.1749980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:11:56.1751860Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:11:56.175000]
2025-06-01T22:11:59.9455410Z 
2025-06-01T22:11:59.9456240Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_a6000b81c6d185e8_.log
2025-06-01T22:11:59.9704730Z Running 966 items in this shard: test/torch_np/test_reductions.py::TestFlatnonzero::test_basic, test/torch_np/test_reductions.py::TestAny::test_basic, test/torch_np/test_reductions.py::TestAny::test_method_vs_function, test/torch_np/test_reductions.py::TestAny::test_nd, test/torch_np/test_reductions.py::TestAll::test_basic, test/torch_np/test_reductions.py::TestAll::test_method_vs_function, test/torch_np/test_reductions.py::TestAll::test_nd, test/torch_np/test_reductions.py::TestMean::test_mean, test/torch_np/test_reductions.py::TestMean::test_mean_float16, test/torch_np/test_reductions.py::TestMean::test_mean_values, test/torch_np/test_reductions.py::TestMean::test_mean_where, test/torch_np/test_reductions.py::TestSum::test_sum, test/torch_np/test_reductions.py::TestSum::test_sum_boolean, test/torch_np/test_reductions.py::TestSum::test_sum_complex_1_dt0, test/torch_np/test_reductions.py::TestSum::test_sum_complex_1_dt1, 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test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func9, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_array_axis_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_array_axis_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_bad_tuple_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_bad_tuple_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_empty_generic_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_empty_generic_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_bad_axis_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_bad_axis_func1
2025-06-01T22:11:59.9941660Z 
2025-06-01T22:12:01.9201150Z Running test_prims 1/1 ... [2025-06-01 22:12:01.919920]
2025-06-01T22:12:01.9201870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:12:01.9203910Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_prims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:12:01.920209]
2025-06-01T22:12:04.7074860Z 
2025-06-01T22:12:04.7075530Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_65a17696d37fc77d_.log
2025-06-01T22:12:04.7081900Z Running 24 items in this shard: test/test_prims.py::TestPrimsBasic::test_check_deprecation_warning, test/test_prims.py::TestPrimsBasic::test_clone_complex, 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_inferred_tags_cpu, 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
2025-06-01T22:12:04.7085980Z 
2025-06-01T22:12:06.6636150Z Running test_functional_autograd_benchmark 1/1 ... [2025-06-01 22:12:06.663434]
2025-06-01T22:12:06.6637030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:12:06.6639120Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:12:06.663718]
2025-06-01T22:12:21.7166490Z 
2025-06-01T22:12:21.7167030Z test_decomp 3/4 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_3.4_42c69612c533df2b_.log
2025-06-01T22:12:21.7594310Z Running 2267 items in this shard: test/test_decomp.py::TestDecompCPU::test_arange_graph_cpu, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e4m3fn, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e5m2, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_frexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_uint16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_geqrf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_histc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_histogram_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_histogramdd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hypot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_igamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_igamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_igammac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_imag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isneginf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isneginf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isneginf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isposinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isposinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_istft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lerp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cond_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cond_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eig_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvals_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvals_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_ex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_hermitian_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_singular_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_qr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_qr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_solve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_solve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_unpack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_unpack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_log_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logaddexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_median_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_normalize_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_amax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_amax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_amin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_mean_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_mean_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_mean_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_prod_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_prod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_sum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_sum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_searchsorted_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_searchsorted_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_searchsorted_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_searchsorted_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_searchsorted_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_sgn_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_short_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_short_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_short_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_short_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_sigmoid_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_sign_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sign_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sign_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sign_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_bartlett_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_general_hamming_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_hamming_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_kaiser_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_kaiser_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_signbit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_signbit_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_signbit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sinc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sinh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_with_dtype_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_with_dtype_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_with_dtype_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sort_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sort_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sparse_mm_reduce_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sparse_mm_reduce_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sparse_sampled_addmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_sparse_sampled_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_airy_ai_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_airy_ai_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_j0_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_j1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_j1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_j1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_y0_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_y1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_entr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_erfcx_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_erfcx_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_erfcx_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cauchy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_core_backward__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_hardshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_select_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_entr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_log_ndtr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_take_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_trace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_bfloat16, 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test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int16, 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test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_prelu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_prelu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_prelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_rrelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_3_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_neg_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_neg_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_slice_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_log_ndtr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_log_ndtr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float64, test/test_decomp.py::DecompOneOffTestsCPU::test_weight_norm_interface_cpu, test/test_decomp.py::HasDecompTest::test_aten_core_operators
2025-06-01T22:12:21.8003400Z 
2025-06-01T22:12:23.9969020Z Running profiler/test_profiler_tree 1/1 ... [2025-06-01 22:12:23.994554]
2025-06-01T22:12:23.9970730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:12:23.9973250Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:12:23.995032]
2025-06-01T22:12:26.5679480Z 
2025-06-01T22:12:26.5680260Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_d27a1f5435ec0dbd_.log
2025-06-01T22:12:26.5684770Z Running 10 items in this shard: test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda_detailed, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda_with_stream, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_memory, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_memory_and_stack, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_record_function, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_modules, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_torch_dispatch, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_torch_function
2025-06-01T22:12:26.5688570Z 
2025-06-01T22:12:29.1137320Z Running test_jit_autocast 1/1 ... [2025-06-01 22:12:29.113534]
2025-06-01T22:12:29.1138070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:12:29.1141190Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:12:29.113925]
2025-06-01T22:12:31.8541260Z 
2025-06-01T22:12:31.8542180Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_29d18443fe67d56d_.log
2025-06-01T22:12:31.8543270Z Running 2 items in this shard: test/test_functional_autograd_benchmark.py::TestFunctionalAutogradBenchmark::test_fast_tasks, test/test_functional_autograd_benchmark.py::TestFunctionalAutogradBenchmark::test_slow_tasks
2025-06-01T22:12:31.8543870Z 
2025-06-01T22:12:34.1241960Z Running test_quantization 1/1 ... [2025-06-01 22:12:34.124009]
2025-06-01T22:12:34.1243000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:12:34.1245680Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:12:34.124280]
2025-06-01T22:12:48.2081360Z 
2025-06-01T22:12:48.2082270Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_e45e6281b238d97a_.log
2025-06-01T22:12:48.2091850Z Running 54 items in this shard: test/test_jit_autocast.py::TestAutocast::test_autocast_api, test/test_jit_autocast.py::TestAutocast::test_autocast_api_not_supported, test/test_jit_autocast.py::TestAutocast::test_autocast_autodiff, test/test_jit_autocast.py::TestAutocast::test_autocast_decorator, test/test_jit_autocast.py::TestAutocast::test_autocast_decorator_outside_jit, test/test_jit_autocast.py::TestAutocast::test_autocast_mixed_dtypes, test/test_jit_autocast.py::TestAutocast::test_callees, test/test_jit_autocast.py::TestAutocast::test_callees_with_autocast_off, test/test_jit_autocast.py::TestAutocast::test_callees_with_autocast_on, test/test_jit_autocast.py::TestAutocast::test_conditional_autocast, test/test_jit_autocast.py::TestAutocast::test_control_flow, test/test_jit_autocast.py::TestAutocast::test_divergent_autocast, test/test_jit_autocast.py::TestAutocast::test_divergent_types, test/test_jit_autocast.py::TestAutocast::test_duplicate_inputs, test/test_jit_autocast.py::TestAutocast::test_eager_and_script, test/test_jit_autocast.py::TestAutocast::test_explicit_casts, test/test_jit_autocast.py::TestAutocast::test_fp32_policy, test/test_jit_autocast.py::TestAutocast::test_fp32_policy_with_fp64, test/test_jit_autocast.py::TestAutocast::test_fp32_set_opt_dtype_policy, test/test_jit_autocast.py::TestAutocast::test_fp32_set_opt_dtype_policy_fp64, test/test_jit_autocast.py::TestAutocast::test_ignore_amp, test/test_jit_autocast.py::TestAutocast::test_implicitly_nested_autocast, test/test_jit_autocast.py::TestAutocast::test_inplace, test/test_jit_autocast.py::TestAutocast::test_jit_autocast_softmax_cpu, test/test_jit_autocast.py::TestAutocast::test_jit_autocast_softmax_gpu, test/test_jit_autocast.py::TestAutocast::test_jit_call_method_under_autocast, test/test_jit_autocast.py::TestAutocast::test_jit_executor_under_autocast, test/test_jit_autocast.py::TestAutocast::test_jit_freeze_autocast_basic, test/test_jit_autocast.py::TestAutocast::test_jit_freeze_autocast_constants, test/test_jit_autocast.py::TestAutocast::test_jit_generic_autocast, test/test_jit_autocast.py::TestAutocast::test_linear_bf16, test/test_jit_autocast.py::TestAutocast::test_minimal, test/test_jit_autocast.py::TestAutocast::test_minimal_cpu, test/test_jit_autocast.py::TestAutocast::test_minimal_off, test/test_jit_autocast.py::TestAutocast::test_nested_autocast, test/test_jit_autocast.py::TestAutocast::test_promote_policy, test/test_jit_autocast.py::TestAutocast::test_promote_policy_fp64, test/test_jit_autocast.py::TestAutocast::test_reused_autocast, test/test_jit_autocast.py::TestAutocast::test_reused_autocast_expr, test/test_jit_autocast.py::TestAutocast::test_runtime_autocast_state, test/test_jit_autocast.py::TestAutocast::test_runtime_autocast_state_expr, test/test_jit_autocast.py::TestAutocast::test_script_and_tracing, test/test_jit_autocast.py::TestAutocast::test_script_and_tracing_with_autocast, test/test_jit_autocast.py::TestAutocast::test_script_module, test/test_jit_autocast.py::TestAutocast::test_tracing_and_script, test/test_jit_autocast.py::TestAutocast::test_tracing_with_autocast_and_script, test/test_jit_autocast.py::TestJitTraceAutocast::test_cat_promote, test/test_jit_autocast.py::TestJitTraceAutocast::test_generate_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_nchw_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_nhwc_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_cpu, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_cuda, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_enable_and_check, test/test_jit_autocast.py::TestJitTraceAutocast::test_scripted_aliasing
2025-06-01T22:12:48.2100960Z 
2025-06-01T22:12:50.2095980Z Running lazy/test_bindings 1/1 ... [2025-06-01 22:12:50.209452]
2025-06-01T22:12:50.2096280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:12:50.2098260Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'lazy/test_bindings.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:12:50.209724]
2025-06-01T22:12:51.0782110Z 
2025-06-01T22:12:51.0783610Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_0bc8503f775b8c26_.log
2025-06-01T22:12:51.0784760Z 
2025-06-01T22:12:53.0315510Z Running inductor/test_fxir_backend 1/1 ... [2025-06-01 22:12:53.031407]
2025-06-01T22:12:53.0315840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:12:53.0317930Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:12:53.031695]
2025-06-01T22:12:58.2258120Z 
2025-06-01T22:12:58.2260380Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_898601d1307f0b75_.log
2025-06-01T22:12:58.2262190Z 
2025-06-01T22:13:00.9459840Z Running inductor/test_subgraph_choice 1/1 ... [2025-06-01 22:13:00.945632]
2025-06-01T22:13:00.9461410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-06-01T22:13:00.9469380Z Executing ['/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-06-01 22:13:00.946751]
2025-06-01T22:13:05.7342500Z 
2025-06-01T22:13:05.7343360Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_7d7283a475d637b1_.log
2025-06-01T22:13:47.4587880Z 
2025-06-01T22:13:47.4587890Z 
2025-06-01T22:13:47.4588720Z test_ops 3/3 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_3.3_b53aff0f0ca9481c_.log
2025-06-01T22:13:47.6860200Z Running 11569 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rand___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu___rdiv___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___ror___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu___rsub___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__chunk_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_chalf_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_half_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_int_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_short_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_alias_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_bitwise_right_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_cauchy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_constant_pad_nd_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_dsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_expand_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fft_ifftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_hypot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_index_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_narrow_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_new_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_new_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_glu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_reshape_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_rsub_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_sum_to_size_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_trace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_transpose_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_vsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addcdiv_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addmv_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_arange_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_atleast_1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_atleast_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_atleast_3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bucketize_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cfloat_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_char_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_combinations_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_complex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_corrcoef_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cummin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_dist_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_empty_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_empty_permuted_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_expand_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_expand_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_fft_fftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_gradient_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_half_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_igamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_int_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_istft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_compare_cpu_kron_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_lerp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_householder_product_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_clamp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_column_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cummax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_deg2rad_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_digamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_erfc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_expand_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_fft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_floor_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_frac_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_gather_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_i0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_inner_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_kron_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_matrix_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_pinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_slogdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_tensorinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_masked_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_matmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nanquantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_native_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_norm_nuc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_permute_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_rad2deg_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_rsqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_searchsorted_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_signbit_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_bessel_y1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_entr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_erfcx_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i1e_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_scaled_modified_bessel_k1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_zeta_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_squeeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sub_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_transpose_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_triangular_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_unbind_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_unfold_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_var_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_view_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmatmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmatmul___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__softmax_backward_data_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_put_accumulate_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_abs_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_abs_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_acosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acosh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addbmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_alias_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_all_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_all_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_allclose_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_aminmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_any_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argsort_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argsort_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argwhere_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_partial_views_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_asinh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_atanh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bernoulli_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bfloat16_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_and_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_left_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bool_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_to_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bucketize_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ceil_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_char_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_char_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cholesky_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_chunk_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_max_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_clone_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_column_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_combinations_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_combinations_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_complex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_physical_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_constant_pad_nd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_constant_pad_nd_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_contiguous_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cos_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_count_nonzero_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_embed_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diff_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_digamma_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_einsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_einsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_eq_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfc_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_as_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_eye_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fliplr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fliplr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_power_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_frexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gather_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gradient_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_grid_sampler_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_half_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_histogram_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_histogramdd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_igamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_put_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_inner_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isclose_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isposinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_item_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_2inputs_2outputs_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_unary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_kron_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_kron_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ldexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ldexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_le_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eigh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eigvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_multi_dot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_vector_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log1p_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log1p_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lu_unpack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mH_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_std_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_matmul_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_no_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_with_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_variadic_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_minimum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_multinomial_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanmedian_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanquantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_narrow_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_dropout_backward_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_neg_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_zeros_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nextafter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_elu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_glu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardtanh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_constant_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_reflect_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu6_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softplus_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softsign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nonzero_static_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_nuc_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_permute_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_4_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ravel_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_real_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_real_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_reciprocal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_repeat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize__cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize__cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize_as__cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_resolve_conj_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resolve_conj_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_resolve_neg_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rot90_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsqrt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scalar_tensor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_searchsorted_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_select_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_select_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_short_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_cosine_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_hamming_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signbit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_softmax_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_w_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_erfcx_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_erfcx_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_h_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i0e_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i1e_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_laguerre_polynomial_l_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_legendre_polynomial_p_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_log_ndtr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtri_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_scaled_modified_bessel_k1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_u_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_v_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_spherical_bessel_j0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_zeta_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_list_args_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_with_sizes_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sqrt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_square_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_multiple_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_multiple_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_std_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_std_mean_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sub_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sub_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tan_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensor_split_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tile_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_to_sparse_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_to_sparse_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_transpose_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_transpose_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_trapezoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trapz_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unflatten_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unfold_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unique_consecutive_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unravel_index_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_split_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsqueeze_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_var_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_var_mean_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_var_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_view_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_view_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_view_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_xlogy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_zero__cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_zeros_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_zeros_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_H_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_T_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values___rand___cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values__chunk_cat_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_acos_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_acosh_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_add_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_alias_copy_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_argsort_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_as_strided_scatter_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_asin_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_atan_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_bitwise_and_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_bitwise_not_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_bitwise_or_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_block_diag_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_bool_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_broadcast_tensors_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_broadcast_to_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_cartesian_prod_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_cdouble_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_chunk_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_column_stack_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_cosh_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_count_nonzero_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_cummax_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_deg2rad_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_diagonal_copy_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_diagonal_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_digamma_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_erfinv_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_exp2_cpu_bool, 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test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_chebyshev_polynomial_u_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_entr_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_hermite_polynomial_h_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_hermite_polynomial_he_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_legendre_polynomial_p_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_log_ndtr_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_modified_bessel_i1_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_modified_bessel_k0_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_ndtr_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_scaled_modified_bessel_k0_cpu_bool, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_bmm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_bool_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_bool_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_bool_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_broadcast_shapes_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_broadcast_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_broadcast_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_byte_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_byte_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cat_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cdouble_cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cummin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumsum_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_deg2rad_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_deg2rad_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diag_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diag_embed_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_digamma_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dist_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_floor_rounding_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_trunc_rounding_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_double_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dsplit_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_einsum_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_einsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_like_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_permuted_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_eq_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_erfc_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_erfinv_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_exp2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_exp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_exp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expand_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expand_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_min_reduction_no_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_movedim_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_msort_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mv_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_3_cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_empty_strided_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_full_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_ones_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_bilinear_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose1d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose2d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_l1_loss_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_local_response_norm_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_circular_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_replicate_negative_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_unshuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_poisson_nll_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softplus_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_tanhshrink_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_tanhshrink_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_threshold_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_loss_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nonzero_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nonzero_static_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nonzero_static_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_fro_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_nuc_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_normal_in_place_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_outer_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pca_lowrank_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_permute_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_permute_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pinverse_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pinverse_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_expand_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_fft2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_fft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_fftn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_hfft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_ifft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_ihfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_rfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fmod_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_frac_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_gather_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_gather_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_i0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_add_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_kron_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_ldexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_ldexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lerp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cholesky_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cross_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_det_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eigvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_inv_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_matrix_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_matrix_power_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_multi_dot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_pinv_hermitian_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_slogdet_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_triangular_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_tensorinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_vecdot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_vector_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log1p_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lu_unpack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_matmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_msort_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mul_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_neg_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_linear_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_norm_inf_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_norm_nuc_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_norm_nuc_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_ormqr_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_permute_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_qr_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_reciprocal_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_rsqrt_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_rsqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sparse_sampled_addmm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_entr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sub_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_t_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tan_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tanh_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_transpose_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_transpose_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_unfold_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_var_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_view_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_view_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_where_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_where_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_resize__cpu_float32, test/test_ops.py::TestCommonCPU::test_out_resize_as__cpu_float32, test/test_ops.py::TestCommonCPU::test_out_roll_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_rsub_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_searchsorted_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_short_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_signal_windows_hamming_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_sin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_slice_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_airy_ai_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_chebyshev_polynomial_t_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_squeeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_std_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_std_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_sub_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_take_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_trace_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_transpose_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_triangular_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_triu_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_out_unbind_copy_cpu_float32, 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test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_scaled_modified_bessel_k1_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_xlog1py_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_split_list_args_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sqrt_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_stack_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_std_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_std_unbiased_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_stft_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sub_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sum_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sum_to_size_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_svd_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_svd_lowrank_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_take_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_tanh_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_transpose_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_trapz_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_trunc_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unflatten_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unique_consecutive_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unsqueeze_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_var_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_var_mean_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_view_as_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_view_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_view_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_zeros_like_cpu_float32, test/test_ops.py::TestMathBitsCPU::test_conj_view_H_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view___rpow___cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view___rsub___cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_bfloat16_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_chalf_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_float_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_int_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_long_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_short_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_alias_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_atan_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_atanh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_atleast_3d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_block_diag_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_broadcast_tensors_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_cat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_cosh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_count_nonzero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_diagonal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_dot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_dsplit_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_empty_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_eq_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_exp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_expand_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_fftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_fftshift_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_hfft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_hfftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_ifftshift_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_irfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_irfft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_irfftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_imag_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_index_add_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_index_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_index_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isfinite_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isinf_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_lerp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_diagonal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_svd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_vecdot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linspace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_logical_xor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_logspace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_masked_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_meshgrid_list_of_tensors_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_meshgrid_variadic_tensors_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_neg_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_new_ones_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_new_zeros_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_l1_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_pixel_unshuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_pow_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ravel_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_reshape_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_roll_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sin_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_special_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_squeeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_squeeze_multiple_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_std_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_std_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sum_to_size_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_t_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tensor_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_transpose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tril_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_true_divide_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unbind_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_view_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_view_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_vsplit_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_vstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_zeros_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_acosh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_addmm_decomposed_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_alias_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_all_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_allclose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_atanh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_atleast_3d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_block_diag_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_byte_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cholesky_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_constant_pad_nd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_contiguous_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cov_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diagflat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_dstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_empty_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_equal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_exp2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_exp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expand_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expand_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_fft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_fftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_fftshift_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_hfft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_ifft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_ifftshift_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_irfft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flip_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_float_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_float_power_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_full_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_geqrf_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_int_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isclose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isreal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_istft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cholesky_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigvals_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigvalsh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_inv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_ldl_factor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_ldl_factor_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_factor_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_rank_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_singular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_slogdet_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_solve_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_svdvals_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_tensorinv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_tensorsolve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_vector_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log10_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logaddexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_or_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logspace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_logsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_sum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_matmul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_meshgrid_variadic_tensors_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_movedim_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_narrow_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_narrow_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ne_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_empty_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_full_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_channel_shuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv2d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv3d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_normalize_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_replicate_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pixel_shuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pixel_unshuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_tanhshrink_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nonzero_static_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_norm_fro_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_norm_inf_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_norm_nuc_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ones_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ones_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_permute_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_qr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rand_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_randn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_randn_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_reciprocal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_repeat_interleave_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_resize__cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rsub_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_short_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sinh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_stft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_svd_lowrank_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_t_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tanh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tensor_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tensordot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_transpose_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_transpose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_triangular_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_true_divide_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_uniform_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsqueeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsqueeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_mean_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_vdot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_vsplit_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_where_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zero__cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zeros_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___getitem___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___radd___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rmatmul___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__chunk_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_byte_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_float_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_long_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_short_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_abs_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_acos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_acosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addcdiv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addcmul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_all_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_any_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_partial_views_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_asin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atleast_2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_chunk_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_clone_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_div_no_rounding_mode_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_empty_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expand_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expand_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_eye_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_fft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_hfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_hfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifftshift_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flip_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_select_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_item_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_matrix_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_svd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_svdvals_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_vecdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logical_not_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logical_or_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_meshgrid_list_of_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_meshgrid_variadic_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_zeros_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_pairwise_distance_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_normal__in_place_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_permute_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_pow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_real_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_reciprocal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_reshape_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_reshape_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_roll_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rot90_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rsub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_split_with_sizes_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_square_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_squeeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_squeeze_multiple_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tensor_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_to_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_transpose_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_transpose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_true_divide_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unbind_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unsqueeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__unsafe_masked_index_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_acos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addbmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_all_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_allclose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_as_strided_partial_views_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_as_strided_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_asin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_asinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_baddbmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_block_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bool_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_broadcast_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_broadcast_to_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_byte_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cdouble_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cfloat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_chalf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_chunk_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_contiguous_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cov_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cumprod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cumsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diag_embed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_div_no_rounding_mode_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_einsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_exp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expand_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expand_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_hfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_flip_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_flipud_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_gather_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_geqrf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_gradient_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_hsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_put_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_inner_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_int_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isclose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isreal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_item_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_binary_return_by_ref_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_kron_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lerp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_cholesky_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_cond_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_eigh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_eigvalsh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_inv_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lstsq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lstsq_grad_oriented_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_slogdet_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_solve_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_svd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_vander_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_vector_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log1p_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logaddexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logcumsumexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mH_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_cumprod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_logsumexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_normalize_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_select_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_sum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_matmul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_meshgrid_list_of_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_meshgrid_variadic_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_narrow_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_neg_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_empty_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_zeros_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv_transpose1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_l1_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_replicate_negative_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nonzero_static_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ones_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_rand_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_randn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_real_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_repeat_interleave_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reshape_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_rsqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_rsub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scatter_add_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_select_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sigmoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_split_list_args_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_square_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_squeeze_multiple_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sum_to_size_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_svd_lowrank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_take_along_dim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tensor_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_to_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_transpose_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trapz_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unbind_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_var_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_var_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zeros_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view_T_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___getitem___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rdiv___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmatmul___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__chunk_cat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__native_batch_norm_legit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_byte_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_cfloat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_char_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_float_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_addr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_partial_views_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_asinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atan2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atleast_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_broadcast_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cauchy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_clamp_max_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_constant_pad_nd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_contiguous_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cumprod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diag_embed_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_digamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_div_no_rounding_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_dsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eq_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_erfc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expm1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ifft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ifft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ifftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ihfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_irfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_irfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_irfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_rfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_flip_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_floor_divide_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_frac_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_frexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ge_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_gt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_heaviside_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_igamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_add_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_lerp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_lgamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_matrix_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_svd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_svdvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_vecdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log_normal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logaddexp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_meshgrid_list_of_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_meshgrid_variadic_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_movedim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nan_to_num_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_native_layer_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ne_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_celu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_dropout_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_hardtanh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_layer_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_margin_ranking_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_nll_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_pairwise_distance_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_pixel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_poisson_nll_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_prelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_softmin_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_softshrink_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_normal__in_place_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_normal_number_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_positive_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_pow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_rad2deg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reshape_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_round_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_rsub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sigmoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_signbit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sinc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_i0e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_i1e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_logit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_5_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_ndtr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_multiple_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_std_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_stft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_trace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tril_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_triu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_true_divide_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unbind_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unflatten_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_view_as_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_view_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_view_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_zeros_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__softmax_backward_data_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__unsafe_masked_index_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__unsafe_masked_index_put_accumulate_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_acosh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addmv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_angle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_any_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_argsort_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atleast_3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bfloat16_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_broadcast_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bucketize_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cauchy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cdist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ceil_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_chalf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cholesky_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clamp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_column_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_combinations_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_conj_physical_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_count_nonzero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cross_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cummin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cumprod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cumsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diagflat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diagonal_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_dsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_einsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_eq_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_erfinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expm1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_hfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_hfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ihfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_irfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_flatten_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_flip_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_full_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_gather_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_geometric_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_geqrf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_gradient_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_gt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_igamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_igammac_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_inner_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isposinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isreal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_unary_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ldexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_le_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lgamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_det_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eig_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigvalsh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_factor_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_rank_hermitian_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_multi_dot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_norm_subgradients_at_zero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_pinv_hermitian_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_svdvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_tensorsolve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vecdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log1p_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_normal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logical_xor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_cumprod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_log_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_softmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_var_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_matrix_exp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_binary_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_reduction_no_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_meshgrid_list_of_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_minimum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_msort_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nanmedian_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_narrow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_layer_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ne_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nextafter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_alpha_dropout_cpu_float64, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_torch__scaled_mm_cpu_float8_e4m3fn, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_triu_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unravel_index_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_zeros_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bincount_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_or_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_right_shift_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_broadcast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cdouble_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_column_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_constant_pad_nd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_contiguous_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cov_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_T_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rsub___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_abs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addmm_decomposed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_as_strided_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_as_strided_partial_views_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_as_strided_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atleast_1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cov_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_dsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_frac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_ldexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lerp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log1p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_ormqr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_remainder_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_as_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___radd___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rdiv___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rmod___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rpow___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__batch_norm_with_update_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmm_decomposed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_partial_views_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_asinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cartesian_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cdouble_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_combinations_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_constant_pad_nd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_contiguous_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_copysign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cummin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_ldexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_det_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polar_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cummin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_permuted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_eq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ihfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_irfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_full_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gcd_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_geometric_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_geqrf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_histc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_imag_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_index_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_istft_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_unary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_le_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_det_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_argmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_multinomial_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_prelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ormqr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rand_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randint_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randint_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resize__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signbit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_j1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tril_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_triu_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unsqueeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_xlogy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_T_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rmatmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rmod___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__chunk_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addmv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_all_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_angle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_any_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_as_strided_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_as_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atan2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bincount_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_or_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_right_shift_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cartesian_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cauchy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_char_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_column_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_constant_pad_nd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_div_trunc_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_hfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_flip_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_frac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_igamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_item_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_unary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lerp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_det_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_argmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_narrow_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nextafter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ormqr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_resize__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_torch__scaled_mm_cpu_float8_e4m3fn, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_triu_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_as_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_xlogy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags___rdiv___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___rmatmul___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___rmul___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___rsub___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__batch_norm_with_update_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_bfloat16_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_bool_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_cdouble_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_cfloat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_chalf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_char_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_float_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_int_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_long_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_polar_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_addcmul_cpu_float32, 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2025-06-01T22:13:47.9066150Z 
2025-06-01T22:17:57.8338200Z 
2025-06-01T22:17:57.8339820Z test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_1.1_e9f3b44af817b7eb_.log
2025-06-01T22:17:57.8623580Z Running 1325 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_pool2d_nhwc, 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_batch_norm_relu, test/test_quantization.py::TestQuantizedOps::test_cat, test/test_quantization.py::TestQuantizedOps::test_cat_nhwc, test/test_quantization.py::TestQuantizedOps::test_channel_shuffle, 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_equal, test/test_quantization.py::TestQuantizedOps::test_group_norm, 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_int8_add_onednn, test/test_quantization.py::TestQuantizedOps::test_int8_batch_norm_onednn, test/test_quantization.py::TestQuantizedOps::test_int8_mul_onednn, test/test_quantization.py::TestQuantizedOps::test_interpolate, test/test_quantization.py::TestQuantizedOps::test_interpolate3d, test/test_quantization.py::TestQuantizedOps::test_leaky_relu, test/test_quantization.py::TestQuantizedOps::test_leaky_relu_observed_output, 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test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_bfloat16_input, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_group, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor_bfloat16_input, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_token, test/test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cpu, test/test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cuda, test/test_quantization.py::TestQuantizedTensor::test_fp16_saturate_op, 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_qtensor_creation_cuda, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_to_memory_format, 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_per_tensor_to_device, test/test_quantization.py::TestQuantizedTensor::test_pickle_checkpoint_qtensor, test/test_quantization.py::TestQuantizedTensor::test_qscheme_pickle, test/test_quantization.py::TestQuantizedTensor::test_qtensor_channel_float_assignment, test/test_quantization.py::TestQuantizedTensor::test_qtensor_copy, 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, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_channel_nhwc, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor_nhwc, test/test_quantization.py::TestQuantizedTensor::test_qtensor_float_assignment, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_int_repr, test/test_quantization.py::TestQuantizedTensor::test_qtensor_legacy_new_failure, test/test_quantization.py::TestQuantizedTensor::test_qtensor_load_save, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_load_save, test/test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_permute, test/test_quantization.py::TestQuantizedTensor::test_qtensor_permute, test/test_quantization.py::TestQuantizedTensor::test_qtensor_quant_dequant, test/test_quantization.py::TestQuantizedTensor::test_qtensor_quantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_qtensor_reshape, 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_sub_byte_not_aligned_cols, test/test_quantization.py::TestQuantizedTensor::test_qtensor_unsqueeze, test/test_quantization.py::TestQuantizedTensor::test_qtensor_view, test/test_quantization.py::TestQuantizedTensor::test_quant_pin_memory, test/test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_float_qparams, test/test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_sub_byte, test/test_quantization.py::TestQuantizedTensor::test_repeat, 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::TestFakeQuantize::test_quant_min_max_override, test/test_quantization.py::TestObserver::test_dynamic_quant_observer, test/test_quantization.py::TestObserver::test_dynamic_quant_observer_matching_choose_qparams, test/test_quantization.py::TestObserver::test_histogram_observer_consistent_buffer_shape, test/test_quantization.py::TestObserver::test_histogram_observer_handle_OOM_due_to_close_min_max_value, test/test_quantization.py::TestObserver::test_histogram_observer_handle_close_to_infinity, test/test_quantization.py::TestObserver::test_histogram_observer_ignore_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_observer_scriptable, test/test_quantization.py::TestObserver::test_per_channel_observers, 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::TestObserver::test_state_dict_respects_device_affinity, test/test_quantization.py::TestObserver::test_zero_numel, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_channel_shuffle, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add_relu, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_dropout, test/test_quantization.py::TestStaticQuantizedModule::test_dropout_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_elu, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_api, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_bag_api, test/test_quantization.py::TestStaticQuantizedModule::test_group_norm, test/test_quantization.py::TestStaticQuantizedModule::test_hard_swish, test/test_quantization.py::TestStaticQuantizedModule::test_instance_norm, test/test_quantization.py::TestStaticQuantizedModule::test_layer_norm, test/test_quantization.py::TestStaticQuantizedModule::test_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_linear, test/test_quantization.py::TestStaticQuantizedModule::test_linear_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_linear_relu, test/test_quantization.py::TestStaticQuantizedModule::test_linear_tanh, test/test_quantization.py::TestStaticQuantizedModule::test_pool_api, test/test_quantization.py::TestStaticQuantizedModule::test_prelu, test/test_quantization.py::TestStaticQuantizedModule::test_quant_dequant_api, test/test_quantization.py::TestStaticQuantizedModule::test_relu, test/test_quantization.py::TestStaticQuantizedModule::test_sigmoid, test/test_quantization.py::TestDynamicQuantizedModule::test_cell_api, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv2d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv3d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose1d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose2d, 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, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn_cell, test/test_quantization.py::TestReferenceQuantizedModule::test_sparse, test/test_quantization.py::TestRecordHistogramObserver::test_observer_scriptable, 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_extreme_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_one_sided, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_same_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_single_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_update_within_range_succeeds, test/test_quantization.py::TestHistogramObserver::test_observer_scriptable, test/test_quantization.py::TestDistributed::test_device_affinity, test/test_quantization.py::TestDistributed::test_fake_quant_preserves_buffers, 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::TestDistributed::test_syncbn_preserves_qconfig, test/test_quantization.py::TestFusedObsFakeQuantModule::test_compare_fused_obs_fq_oss_module, test/test_quantization.py::TestFusedObsFakeQuantModule::test_default_fused_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_bag_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_per_channel, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_reduce_range, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_module, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_moving_avg_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_config_to_dict, 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_fuser_method, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_input_type_to_index, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_num_tensor_args_to_observation_type, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_observation_type, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_qat_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::TestBackendConfig::test_dtype_config_from_dict, test/test_quantization.py::TestBackendConfig::test_dtype_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_get_fqn_to_example_inputs_simple, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_channel, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_tensor, test/test_quantization.py::TestUtils::test_uint4_int4_dtype, test/test_quantization.py::TestQuantizationDocs::test_quantization_doc_custom, test/test_quantization.py::TestQuantizationDocs::test_quantization_doc_fx, test/test_quantization.py::TestQuantizationDocs::test_quantization_doc_ptdq, test/test_quantization.py::TestQuantizationDocs::test_quantization_doc_ptsq, test/test_quantization.py::TestQuantizationDocs::test_quantization_doc_qat, 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_convtranspose_per_channel_fails_early, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_qconfig_none, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_custom_module_class, 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_nested1, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested2, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested3, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_normalization, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding_bag, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantwrapper_attaches_qconfig_to_dequant, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_resnet_base, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_save_load_state_dict, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_skip_quant, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_two_layers, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_bag_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_ops_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_forward_hooks_preserved, 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_per_channel_linear_quantize, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn_cell, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_two_layers, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_type_match_rule, test/test_quantization.py::TestQuantizeEagerOps::test_conv_1d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_2d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_3d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_1d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_2d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_3d, test/test_quantization.py::TestQuantizeEagerOps::test_functional_module, test/test_quantization.py::TestQuantizeEagerOps::test_int16_reference_module, test/test_quantization.py::TestQuantizeEagerOps::test_leaky_relu, test/test_quantization.py::TestQuantizeEagerOps::test_linear, test/test_quantization.py::TestQuantizeEagerOps::test_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_conv_linear_symm, test/test_quantization.py::TestQuantizeEagerQAT::test_defused_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_dropout, test/test_quantization.py::TestQuantizeEagerQAT::test_dynamic_qat_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_qat_qconfig_equal, test/test_quantization.py::TestQuantizeEagerQAT::test_eval_only_fake_quant, test/test_quantization.py::TestQuantizeEagerQAT::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerQAT::test_manual, 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_conv_bn_folded_vs_unfolded, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_relu, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_fixed_qparam_ops, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_leaky_relu, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_numerics, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_symm_numerics, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_workflow, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_precomputed_fake_quant, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_relu, test/test_quantization.py::TestFuseEager::test_forward_hooks_preserved, test/test_quantization.py::TestFuseEager::test_fuse_function_customization, test/test_quantization.py::TestFuseEager::test_fuse_module_eval, test/test_quantization.py::TestFuseEager::test_fuse_module_train, test/test_quantization.py::TestFuseEager::test_fuse_modules_with_nested_hooks, test/test_quantization.py::TestFuseEager::test_fusion_conv_with_bias, 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_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_float_quant_compare_per_tensor, 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_outputs_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_lstm_dynamic, 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_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_partial, 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_compare_weights_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v2, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v3, test/test_quantization.py::TestNumericSuiteEager::test_output_logger, test/test_quantization.py::TestNumericSuiteEager::test_shadow_logger, test/test_quantization.py::TestEqualizeEager::test_converged, test/test_quantization.py::TestEqualizeEager::test_cross_layer_equalization, test/test_quantization.py::TestEqualizeEager::test_equalize, test/test_quantization.py::TestEqualizeEager::test_equalize_fused_convrelu, test/test_quantization.py::TestEqualizeEager::test_equalize_fused_linearrelu, 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test/test_quantization.py::TestQuantizeFx::test_packed_weight_fused_op, test/test_quantization.py::TestQuantizeFx::test_pattern_match, 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_from_dict, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_float_to_observed_mapping, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_input_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_classes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_names, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_output_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_class, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_name, 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_prepared_model_deepcopy, test/test_quantization.py::TestQuantizeFx::test_preserve_attributes, 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_split_tuple_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, 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test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_repr, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_global, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_object_type_order, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_regex, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_object_type, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_to_dict, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_name_object_type_order, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_name_regex, 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_qconfig_qat_module_type, test/test_quantization.py::TestQuantizeFx::test_qnnpack_backend_config, test/test_quantization.py::TestQuantizeFx::test_qparams_buffers, test/test_quantization.py::TestQuantizeFx::test_qparams_fqn, test/test_quantization.py::TestQuantizeFx::test_quant_output_always_observed, test/test_quantization.py::TestQuantizeFx::test_quantized_input_fp32_output, 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_conv_module, test/test_quantization.py::TestQuantizeFx::test_ref_linear_module, test/test_quantization.py::TestQuantizeFx::test_register_patterns, test/test_quantization.py::TestQuantizeFx::test_relu_lowering, test/test_quantization.py::TestQuantizeFx::test_remove_qconfig, test/test_quantization.py::TestQuantizeFx::test_repeat_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_reroute_tuple_getitem_patterns, 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test/test_quantization.py::TestQuantizeFx::test_static_lstm_with_custom_fixed_qparams, test/test_quantization.py::TestQuantizeFx::test_sub_scalar, 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_trace_quantize_per_tensor, test/test_quantization.py::TestQuantizeFx::test_transpose_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_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, 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_bmm, test/test_quantization.py::TestQuantizeFxOps::test_bmm_int_reference, 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_clamp, test/test_quantization.py::TestQuantizeFxOps::test_conv_module, test/test_quantization.py::TestQuantizeFxOps::test_conv_transpose_1d, 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, 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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_linear_module, test/test_quantization.py::TestQuantizeFxOps::test_linear_static_fp16, test/test_quantization.py::TestQuantizeFxOps::test_mish_reference, test/test_quantization.py::TestQuantizeFxOps::test_mul, test/test_quantization.py::TestQuantizeFxOps::test_mul_relu, test/test_quantization.py::TestQuantizeFxOps::test_multiple_qconfigs_for_single_value, test/test_quantization.py::TestQuantizeFxOps::test_narrow, test/test_quantization.py::TestQuantizeFxOps::test_norm_weight_bias, test/test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle, test/test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle_module, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle_module, test/test_quantization.py::TestQuantizeFxOps::test_prelu, test/test_quantization.py::TestQuantizeFxOps::test_qbatch_norm, test/test_quantization.py::TestQuantizeFxOps::test_qbatch_norm_relu, test/test_quantization.py::TestQuantizeFxOps::test_qmatmul, 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_ref_pattern_multi_use, test/test_quantization.py::TestQuantizeFxOps::test_reshape_fp16, test/test_quantization.py::TestQuantizeFxOps::test_rnn, test/test_quantization.py::TestQuantizeFxOps::test_rnn_cell, test/test_quantization.py::TestQuantizeFxOps::test_silu_reference, test/test_quantization.py::TestQuantizeFxOps::test_softmax_normal, test/test_quantization.py::TestQuantizeFxOps::test_softmax_reference, test/test_quantization.py::TestQuantizeFxOps::test_sub, test/test_quantization.py::TestQuantizeFxOps::test_sum, test/test_quantization.py::TestQuantizeFxModels::test_model_dropout, test/test_quantization.py::TestQuantizeFxModels::test_prepare_serialize_switch_device_convert, test/test_quantization.py::TestQuantizeFxModels::test_qat_embedding_linear, test/test_quantization.py::TestQuantizeFxModels::test_qat_embeddingbag_linear, 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_static_gpu_convert_basic, 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test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, 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_rewriter_with_oneliner_pattern, 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::TestGraphUtils::test_customized_equivalet_types_dict, 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_no_need_for_duplicate_dq, test/test_quantization.py::TestDuplicateDQPass::test_simple_duplicate_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq_no_static_q, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_two_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_with_no_quant_inbetween, test/test_quantization.py::TestMetaDataPorting::test_no_metadata_porting, test/test_quantization.py::TestMetaDataPorting::test_no_metadata_porting_through_unknown_ops, test/test_quantization.py::TestMetaDataPorting::test_simple_metadata_porting, test/test_quantization.py::TestNumericDebugger::test_added_node_gets_unique_id, test/test_quantization.py::TestNumericDebugger::test_control_flow, test/test_quantization.py::TestNumericDebugger::test_copy_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_deepcopy_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers, test/test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers_list_output, test/test_quantization.py::TestNumericDebugger::test_prepare_for_propagation_comparison, test/test_quantization.py::TestNumericDebugger::test_quantize_pt2e_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_re_export_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_run_decompositions_map_handle_to_new_nodes, test/test_quantization.py::TestNumericDebugger::test_run_decompositions_same_handle_id, test/test_quantization.py::TestNumericDebugger::test_simple, test/test_quantization.py::TestQuantizePT2E::test_allow_exported_model_train_eval, test/test_quantization.py::TestQuantizePT2E::test_allow_exported_model_train_eval_idempotent, test/test_quantization.py::TestQuantizePT2E::test_allow_implicit_sharing, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_linear_conv, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_throw, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_transform_for_annotation, test/test_quantization.py::TestQuantizePT2E::test_constant_prop_preserve_metadata, test/test_quantization.py::TestQuantizePT2E::test_conv_padding_bn_relu, 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_observer_dedup, 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_fold_all_ops_before_quantize, test/test_quantization.py::TestQuantizePT2E::test_fold_quantize, test/test_quantization.py::TestQuantizePT2E::test_fold_quantize_per_channel, test/test_quantization.py::TestQuantizePT2E::test_groupwise_per_channel_quant, test/test_quantization.py::TestQuantizePT2E::test_input_edge_sanity_check, test/test_quantization.py::TestQuantizePT2E::test_max_pool2d_quantizer, test/test_quantization.py::TestQuantizePT2E::test_model_is_exported, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_bn_device_cpu, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout_inplace, test/test_quantization.py::TestQuantizePT2E::test_multi_users_without_output_observer, test/test_quantization.py::TestQuantizePT2E::test_observer_callback, test/test_quantization.py::TestQuantizePT2E::test_prepare_obs_or_fq_callback, test/test_quantization.py::TestQuantizePT2E::test_preserve_nn_module_stack, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_float8_e4m3fn, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_float8_e5m2, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_int16, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e4m3fn, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e5m2, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_int16, test/test_quantization.py::TestQuantizePT2E::test_reentrant, test/test_quantization.py::TestQuantizePT2E::test_save_load, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity_case_2, test/test_quantization.py::TestQuantizePT2E::test_simple_quantizer, test/test_quantization.py::TestQuantizePT2E::test_speed, test/test_quantization.py::TestQuantizePT2E::test_transform_for_annotation, test/test_quantization.py::TestQuantizePT2E::test_wo_annotate_conv_output_quantizer, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_channel_group_quantization, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_affine_act_per_channel_weights, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_per_tok_act_per_group_weights, test/test_quantization.py::TestPT2ERepresentation::test_add, test/test_quantization.py::TestPT2ERepresentation::test_add_relu, test/test_quantization.py::TestPT2ERepresentation::test_conv2d, test/test_quantization.py::TestPT2ERepresentation::test_dynamic_linear, test/test_quantization.py::TestPT2ERepresentation::test_maxpool2d, test/test_quantization.py::TestPT2ERepresentation::test_qdq, test/test_quantization.py::TestPT2ERepresentation::test_qdq_per_channel, test/test_quantization.py::TestPT2ERepresentation::test_static_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_add_and_inplace_add, test/test_quantization.py::TestXNNPACKQuantizer::test_add_mul_long, test/test_quantization.py::TestXNNPACKQuantizer::test_add_mul_scalar, test/test_quantization.py::TestXNNPACKQuantizer::test_cat_same_node, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d_with_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_conv_linear_no_permute, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_int4_weight, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_with_conv, test/test_quantization.py::TestXNNPACKQuantizer::test_gru, test/test_quantization.py::TestXNNPACKQuantizer::test_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_gru, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_relu, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_with_dynamic_shape, test/test_quantization.py::TestXNNPACKQuantizer::test_mul_and_inplace_mul, test/test_quantization.py::TestXNNPACKQuantizer::test_mul_float32_max, test/test_quantization.py::TestXNNPACKQuantizer::test_obs_sharing_ops, test/test_quantization.py::TestXNNPACKQuantizer::test_propagate_annotation, test/test_quantization.py::TestXNNPACKQuantizer::test_qat_dynamic_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_name, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_name_with_underscores, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type_case_2, test/test_quantization.py::TestXNNPACKQuantizerModels::test_resnet18, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_adaptive_avg_pool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_attention_block, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_avg_pool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_same_inputs, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_single_input, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_serials_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_dynamic_quant_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_conv2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_linear_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_maxpool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_serials, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_lowering_to_x86, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_maxpool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_dynamic_quant_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case1, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_with_mixed_configs, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_for_dynamic_quant, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_with_underscores, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_with_mixed_configs, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_add_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_bn_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_bias_derived_qspec, 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_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_per_channel_weight_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_inplace_add_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_per_channel_weight_custom_dtype, 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_fold_bn_erases_add_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_bn_node, 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_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_per_channel_weight_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_inplace_add_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_per_channel_weight_custom_dtype, 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::TestQuantizePT2EQATModels::test_qat_resnet18, test/test_quantization.py::TestFXGraphMatcher::test_dict_return_type, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_count, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_type, test/test_quantization.py::TestFXGraphMatcher::test_methods, test/test_quantization.py::TestFXGraphMatcher::test_nodes_before_cat, test/test_quantization.py::TestFXGraphMatcher::test_nodes_with_equal_types_get_matched, test/test_quantization.py::TestFXGraphMatcher::test_op_relationship_mapping, test/test_quantization.py::TestFXGraphMatcher::test_results_order, 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_mod_multi, test/test_quantization.py::TestFXGraphMatcher::test_simple_tensor_ops, test/test_quantization.py::TestFXGraphMatcher::test_user_defined_function, 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_mul_inputs_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extend_logger_results_with_comparison, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_fp16_shadows_fp32, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_coverage, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_simple, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_fun, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_mod, 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_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_vs_linear_fp16_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_weights, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_kwargs_shadow, 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_match_activations_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_mul_add_cat_stack_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_io_dtype_coverage, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_either_fp32_or_int8_input, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_only_kwargs_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_ops_with_same_fp32_and_int8_signature, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_activations_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_loggers_preserve_qat_numerics, 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, 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_conv_bn_relu_fusion_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_functions, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteNShadows::test_conv_bn_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_custom_functions_and_tracer, test/test_quantization.py::TestFXNumericSuiteNShadows::test_extract_weights_linear, test/test_quantization.py::TestFXNumericSuiteNShadows::test_functions, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_logger_enabled_and_save_activations_flags, test/test_quantization.py::TestFXNumericSuiteNShadows::test_mobilenet_v2, 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_end_to_end, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_from_list, 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_repr, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_retroactive_padding, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_conv, 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_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_linear, 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_compare_weights_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_resnet18, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_compare_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_shadow, test/test_quantization.py::TestFxModelReportDetector::test_conv_sub_class_considered, test/test_quantization.py::TestFxModelReportDetector::test_fusion_layer_in_sequential, 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_qat_aware_model_example, test/test_quantization.py::TestFxModelReportDetector::test_sequential_model_format, test/test_quantization.py::TestFxModelReportDetector::test_simple_conv, test/test_quantization.py::TestFxModelReportObserver::test_observer_after_relu, test/test_quantization.py::TestFxModelReportObserver::test_random_epochs_and_batches, test/test_quantization.py::TestFxModelReportObserver::test_single_batch_of_ones, test/test_quantization.py::TestFxModelReportObserver::test_zero_tensor_errors, test/test_quantization.py::TestFxModelReportDetectDynamicStatic::test_nested_detection_case, test/test_quantization.py::TestFxModelReportClass::test_constructor, test/test_quantization.py::TestFxModelReportClass::test_equalization_mapping_generation, test/test_quantization.py::TestFxModelReportClass::test_generate_report, test/test_quantization.py::TestFxModelReportClass::test_generate_visualizer, test/test_quantization.py::TestFxModelReportClass::test_prepare_model_callibration, test/test_quantization.py::TestFxModelReportClass::test_qconfig_mapping_generation, 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::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen_empty, test/test_quantization.py::TestFxDetectOutliers::test_all_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_multiple_run_consistent_spike_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_no_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_outlier_detection_determine_points, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_match_with_report, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_no_match, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_single_feat_match, test/test_quantization.py::TestFxModelReportVisualizer::test_get_modules_and_features, test/test_quantization.py::TestEqualizeFx::test_input_weight_eq_observer, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_activation_values, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_branching, 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_graphs, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_prepare, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_results, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_weights_bias, test/test_quantization.py::TestEqualizeFx::test_selective_equalization, test/test_quantization.py::TestSerialization::test_conv2d, 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, 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, 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_dynamic, test/test_quantization.py::TestSerialization::test_linear_relu, test/test_quantization.py::TestSerialization::test_linear_relu_package_quantization_transforms, test/test_quantization.py::TestSerialization::test_lstm, test/test_quantization.py::TestSerialization::test_per_channel_observer, test/test_quantization.py::TestSerialization::test_per_tensor_observer, test/test_quantization.py::TestQuantizeJit::test_conv, test/test_quantization.py::TestQuantizeJit::test_conv_bn, test/test_quantization.py::TestQuantizeJit::test_conv_transpose, test/test_quantization.py::TestQuantizeJit::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizeJit::test_nested, test/test_quantization.py::TestQuantizeJit::test_observer_with_ignored_function, test/test_quantization.py::TestQuantizeJit::test_single_linear, test/test_quantization.py::TestQuantizeJit::test_single_linear_dynamic, test/test_quantization.py::TestQuantizeJit::test_skip_quant, test/test_quantization.py::TestQuantizeJitPasses::test_conv_trace, test/test_quantization.py::TestQuantizeJitPasses::test_convtranspose_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_complex_cases, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_no_fusion, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_shared_classtype, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial_nobias, test/test_quantization.py::TestQuantizeJitPasses::test_fuse_linear, test/test_quantization.py::TestQuantizeJitPasses::test_inplace_option, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_child_qconfig, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_general_ops, 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_for_nested_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_reused_weight, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface_unshare_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_for_function, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_skip_values, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_weight_dtype, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant, 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_module_list, test/test_quantization.py::TestQuantizeJitPasses::test_quantize_fork_wait, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequant_same_value, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize_in_block, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_quantize_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_skip_dequant_constant_prop, test/test_quantization.py::TestQuantizeJitPasses::test_swap_functional_linear, test/test_quantization.py::TestQuantizeJitOps::test_cat_linear, test/test_quantization.py::TestQuantizeJitOps::test_clamp, test/test_quantization.py::TestQuantizeJitOps::test_conv_with_benchmark_flag, test/test_quantization.py::TestQuantizeJitOps::test_dequantize_tuple, test/test_quantization.py::TestQuantizeJitOps::test_elu, test/test_quantization.py::TestQuantizeJitOps::test_general_shape_ops, test/test_quantization.py::TestQuantizeJitOps::test_general_value_ops, test/test_quantization.py::TestQuantizeJitOps::test_group_norm, 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, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncInplaceRelu, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncRelu, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar, 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_conv, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar_relu, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_convert_dynamic_fp16, 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_shared_weights, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_weight_observer, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_with_if, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_insert_quant_dequant_linear_dynamic, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic_child_qconfig, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_quantize_dynamic_fp16, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag_padding_idx_error, test/test_quantization.py::TestQuantizeDynamicJitOps::test_linear, 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_rnn_cell_quantized, test/test_quantization.py::TestDeprecatedJitQuantized::test_rnn_quantized, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fake_quantize, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuse_modules, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuser_method_mappings, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_observer, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_qconfig, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quant_type, 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_quantize_jit, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_stubs, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_utils, test/test_quantization.py::TestAOMigrationNNQuantized::test_functional_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_conv, 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_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_rnn, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantized_dynamic_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_batchnorm, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_conv, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_dropout, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_functional_modules, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_normalization, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_utils, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_qat, 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_qat_linear_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_bn_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_conv_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_linear_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_nn_intrinsic_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_no_import_nn_intrinsic_quantized_dynamic, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_convert, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_equalize, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fuse, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fusion_patterns, 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_prepare, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_quantization_patterns, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_utils, 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_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fnuz, 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_soak_cpu_float8_e8m0fnu, 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_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_float8_e8m0fnu_rne_rounding_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e8m0fnu, 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_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e8m0fnu
2025-06-01T22:17:57.8879500Z 
2025-06-01T22:17:58.2908510Z Running test batch 'tests to run' cost 4158.18 seconds
2025-06-01T22:17:58.9165120Z 
2025-06-01T22:17:58.9165430Z real	69m22.830s
2025-06-01T22:17:58.9165630Z user	144m36.335s
2025-06-01T22:17:58.9165770Z sys	22m17.131s
2025-06-01T22:17:58.9165910Z + assert_git_not_dirty
2025-06-01T22:17:58.9166080Z + [[ macos-py3-arm64 != *rocm* ]]
2025-06-01T22:17:58.9166280Z + [[ macos-py3-arm64 != *xla* ]]
2025-06-01T22:17:58.9172650Z ++ git status --porcelain
2025-06-01T22:17:58.9173810Z ++ grep -v '?? third_party'
2025-06-01T22:18:05.2784420Z ++ true
2025-06-01T22:18:05.2785790Z + git_status=
2025-06-01T22:18:05.2786280Z + [[ -n '' ]]
2025-06-01T22:18:05.2786420Z + [[ 1 == 1 ]]
2025-06-01T22:18:05.2786550Z + test_libtorch
2025-06-01T22:18:05.2786680Z + [[ 0 == \1 ]]
2025-06-01T22:18:05.2786810Z + test_custom_script_ops
2025-06-01T22:18:05.2786990Z + print_cmake_info
2025-06-01T22:18:05.2790250Z ++ which cmake
2025-06-01T22:18:05.2828930Z + CMAKE_EXEC=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/cmake
2025-06-01T22:18:05.2829550Z + echo /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/cmake
2025-06-01T22:18:05.2830000Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/cmake
2025-06-01T22:18:05.2831400Z ++ dirname /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/cmake
2025-06-01T22:18:05.2893290Z + CONDA_INSTALLATION_DIR=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin
2025-06-01T22:18:05.2893740Z + ls -la /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/../lib
2025-06-01T22:18:05.3253620Z total 63080
2025-06-01T22:18:05.3253910Z drwxr-xr-x  106 ec2-user  staff     3392 Jun  1 21:08 .
2025-06-01T22:18:05.3254200Z drwxr-xr-x   11 ec2-user  staff      352 Jun  1 21:08 ..
2025-06-01T22:18:05.3254480Z -rw-r--r--    3 ec2-user  staff   154497 May  3  2024 Tk.icns
2025-06-01T22:18:05.3254760Z -rw-r--r--    3 ec2-user  staff    53684 May  3  2024 Tk.tiff
2025-06-01T22:18:05.3255050Z drwxr-xr-x    4 ec2-user  staff      128 Jun  1 21:08 cmake
2025-06-01T22:18:05.3255330Z drwxr-xr-x    5 ec2-user  staff      160 Jun  1 21:08 engines-3
2025-06-01T22:18:05.3255620Z drwxr-xr-x    9 ec2-user  staff      288 Jun  1 21:08 itcl4.2.4
2025-06-01T22:18:05.3255920Z -rwxr-xr-x    3 ec2-user  staff   125200 Apr 30  2024 libbz2.1.0.8.dylib
2025-06-01T22:18:05.3256220Z -rw-r--r--    3 ec2-user  staff   202304 Apr 30  2024 libbz2.a
2025-06-01T22:18:05.3256540Z lrwxr-xr-x    1 ec2-user  staff       18 Jun  1 21:08 libbz2.dylib -> libbz2.1.0.8.dylib
2025-06-01T22:18:05.3256870Z -rwxr-xr-x    3 ec2-user  staff  1010816 Sep  8  2022 libc++.1.0.dylib
2025-06-01T22:18:05.3257200Z lrwxr-xr-x    1 ec2-user  staff       16 Jun  1 21:08 libc++.1.dylib -> libc++.1.0.dylib
2025-06-01T22:18:05.3257510Z -rw-r--r--    3 ec2-user  staff  1393600 Sep  8  2022 libc++.a
2025-06-01T22:18:05.3257810Z lrwxr-xr-x    1 ec2-user  staff       16 Jun  1 21:08 libc++.dylib -> libc++.1.0.dylib
2025-06-01T22:18:05.3258150Z -rw-r--r--    3 ec2-user  staff     7208 Sep  8  2022 libc++experimental.a
2025-06-01T22:18:05.3258470Z -rwxr-xr-x    3 ec2-user  staff    67456 Apr 30  2024 libcharset.1.dylib
2025-06-01T22:18:05.3258770Z -rw-r--r--    3 ec2-user  staff     2848 Apr 30  2024 libcharset.a
2025-06-01T22:18:05.3259100Z lrwxr-xr-x    1 ec2-user  staff       18 Jun  1 21:08 libcharset.dylib -> libcharset.1.dylib
2025-06-01T22:18:05.3259440Z -rwxr-xr-x    1 ec2-user  staff  3559488 Jun  1 21:08 libcrypto.3.dylib
2025-06-01T22:18:05.3259760Z -rw-r--r--@   1 ec2-user  staff  6612752 Jun  1 21:08 libcrypto.a
2025-06-01T22:18:05.3260060Z lrwxr-xr-x    1 ec2-user  staff       17 Jun  1 21:08 libcrypto.dylib -> libcrypto.3.dylib
2025-06-01T22:18:05.3260390Z -rwxr-xr-x    2 ec2-user  staff   199152 Apr 14 19:44 libexpat.1.10.2.dylib
2025-06-01T22:18:05.3260700Z + echo 'Testing custom script operators'
2025-06-01T22:18:05.3260880Z + pushd test/custom_operator
2025-06-01T22:18:05.3261030Z + rm -rf build
2025-06-01T22:18:05.3261350Z lrwxr-xr-x    1 ec2-user  staff       21 Jun  1 21:08 libexpat.1.dylib -> libexpat.1.10.2.dylib
2025-06-01T22:18:05.3261690Z -rw-r--r--    2 ec2-user  staff   194544 Apr 14 19:44 libexpat.a
2025-06-01T22:18:05.3262010Z lrwxr-xr-x    1 ec2-user  staff       21 Jun  1 21:08 libexpat.dylib -> libexpat.1.10.2.dylib
2025-06-01T22:18:05.3262390Z lrwxr-xr-x    1 ec2-user  staff       14 Jun  1 21:08 libffi.7.dylib -> libffi.8.dylib
2025-06-01T22:18:05.3262710Z -rwxr-xr-x    3 ec2-user  staff   120624 Apr 30  2024 libffi.8.dylib
2025-06-01T22:18:05.3263000Z -rw-r--r--    3 ec2-user  staff    54584 Apr 30  2024 libffi.a
2025-06-01T22:18:05.3263320Z lrwxr-xr-x    1 ec2-user  staff       14 Jun  1 21:08 libffi.dylib -> libffi.8.dylib
2025-06-01T22:18:05.3263690Z lrwxr-xr-x    1 ec2-user  staff       16 Jun  1 21:08 libform.6.dylib -> libformw.6.dylib
2025-06-01T22:18:05.3264030Z lrwxr-xr-x    1 ec2-user  staff       10 Jun  1 21:08 libform.a -> libformw.a
2025-06-01T22:18:05.3264490Z lrwxr-xr-x    1 ec2-user  staff       16 Jun  1 21:08 libform.dylib -> libformw.6.dylib
2025-06-01T22:18:05.3264960Z -rwxr-xr-x    3 ec2-user  staff   113712 Jan 26  2023 libformw.6.dylib
2025-06-01T22:18:05.3265330Z -rw-r--r--    3 ec2-user  staff   100944 Jan 26  2023 libformw.a
2025-06-01T22:18:05.3265630Z lrwxr-xr-x    1 ec2-user  staff       16 Jun  1 21:08 libformw.dylib -> libformw.6.dylib
2025-06-01T22:18:05.3265960Z -rwxr-xr-x    3 ec2-user  staff    91184 Oct 24  2022 libhistory.8.2.dylib
2025-06-01T22:18:05.3266290Z lrwxr-xr-x    1 ec2-user  staff       20 Jun  1 21:08 libhistory.8.dylib -> libhistory.8.2.dylib
2025-06-01T22:18:05.3266610Z -rw-r--r--    3 ec2-user  staff    48392 Oct 24  2022 libhistory.a
2025-06-01T22:18:05.3266910Z lrwxr-xr-x    1 ec2-user  staff       20 Jun  1 21:08 libhistory.dylib -> libhistory.8.2.dylib
2025-06-01T22:18:05.3267230Z -rwxr-xr-x    3 ec2-user  staff  1015200 Apr 30  2024 libiconv.2.dylib
2025-06-01T22:18:05.3267500Z -rw-r--r--    3 ec2-user  staff   980096 Apr 30  2024 libiconv.a
2025-06-01T22:18:05.3267790Z lrwxr-xr-x    1 ec2-user  staff       16 Jun  1 21:08 libiconv.dylib -> libiconv.2.dylib
2025-06-01T22:18:05.3268120Z -rwxr-xr-x    2 ec2-user  staff   217648 Feb 13 17:38 liblzma.5.6.4.dylib
2025-06-01T22:18:05.3268440Z lrwxr-xr-x    1 ec2-user  staff       19 Jun  1 21:08 liblzma.5.dylib -> liblzma.5.6.4.dylib
2025-06-01T22:18:05.3268780Z lrwxr-xr-x    1 ec2-user  staff       19 Jun  1 21:08 liblzma.dylib -> liblzma.5.6.4.dylib
2025-06-01T22:18:05.3269120Z lrwxr-xr-x    1 ec2-user  staff       16 Jun  1 21:08 libmenu.6.dylib -> libmenuw.6.dylib
2025-06-01T22:18:05.3269440Z lrwxr-xr-x    1 ec2-user  staff       10 Jun  1 21:08 libmenu.a -> libmenuw.a
2025-06-01T22:18:05.3269760Z lrwxr-xr-x    1 ec2-user  staff       16 Jun  1 21:08 libmenu.dylib -> libmenuw.6.dylib
2025-06-01T22:18:05.3270080Z -rwxr-xr-x    3 ec2-user  staff    73008 Jan 26  2023 libmenuw.6.dylib
2025-06-01T22:18:05.3270340Z -rw-r--r--    3 ec2-user  staff    43824 Jan 26  2023 libmenuw.a
2025-06-01T22:18:05.3270630Z lrwxr-xr-x    1 ec2-user  staff       16 Jun  1 21:08 libmenuw.dylib -> libmenuw.6.dylib
2025-06-01T22:18:05.3270970Z lrwxr-xr-x    1 ec2-user  staff       15 Jun  1 21:08 libncurses++.a -> libncurses++w.a
2025-06-01T22:18:05.3271280Z -rw-r--r--    3 ec2-user  staff   108432 Jan 26  2023 libncurses++w.a
2025-06-01T22:18:05.3276740Z lrwxr-xr-x    1 ec2-user  staff       19 Jun  1 21:08 libncurses.6.dylib -> libncursesw.6.dylib
2025-06-01T22:18:05.3277120Z lrwxr-xr-x    1 ec2-user  staff       13 Jun  1 21:08 libncurses.a -> libncursesw.a
2025-06-01T22:18:05.3277470Z lrwxr-xr-x    1 ec2-user  staff       19 Jun  1 21:08 libncurses.dylib -> libncursesw.6.dylib
2025-06-01T22:18:05.3277810Z -rwxr-xr-x    1 ec2-user  staff   252048 Jun  1 21:08 libncursesw.6.dylib
2025-06-01T22:18:05.3278090Z -rw-r--r--    3 ec2-user  staff   302192 Jan 26  2023 libncursesw.a
2025-06-01T22:18:05.3278410Z lrwxr-xr-x    1 ec2-user  staff       19 Jun  1 21:08 libncursesw.dylib -> libncursesw.6.dylib
2025-06-01T22:18:05.3278770Z lrwxr-xr-x    1 ec2-user  staff       17 Jun  1 21:08 libpanel.6.dylib -> libpanelw.6.dylib
2025-06-01T22:18:05.3279110Z lrwxr-xr-x    1 ec2-user  staff       11 Jun  1 21:08 libpanel.a -> libpanelw.a
2025-06-01T22:18:05.3279440Z lrwxr-xr-x    1 ec2-user  staff       17 Jun  1 21:08 libpanel.dylib -> libpanelw.6.dylib
2025-06-01T22:18:05.3279860Z -rwxr-xr-x    3 ec2-user  staff    68352 Jan 26  2023 libpanelw.6.dylib
2025-06-01T22:18:05.3280160Z -rw-r--r--    3 ec2-user  staff    15856 Jan 26  2023 libpanelw.a
2025-06-01T22:18:05.3280490Z lrwxr-xr-x    1 ec2-user  staff       17 Jun  1 21:08 libpanelw.dylib -> libpanelw.6.dylib
2025-06-01T22:18:05.3280840Z -rwxr-xr-x    1 ec2-user  staff  6917136 Jun  1 21:08 libpython3.12.dylib
2025-06-01T22:18:05.3281190Z -rwxr-xr-x    3 ec2-user  staff   327920 Oct 24  2022 libreadline.8.2.dylib
2025-06-01T22:18:05.3281560Z lrwxr-xr-x    1 ec2-user  staff       21 Jun  1 21:08 libreadline.8.dylib -> libreadline.8.2.dylib
2025-06-01T22:18:05.3281930Z -rw-r--r--    3 ec2-user  staff   509560 Oct 24  2022 libreadline.a
2025-06-01T22:18:05.3282390Z lrwxr-xr-x    1 ec2-user  staff       21 Jun  1 21:08 libreadline.dylib -> libreadline.8.2.dylib
2025-06-01T22:18:05.3282870Z -rwxr-xr-x    3 ec2-user  staff  1594192 Apr 30  2024 libsqlite3.0.dylib
2025-06-01T22:18:05.3283220Z lrwxr-xr-x    1 ec2-user  staff       18 Jun  1 21:08 libsqlite3.dylib -> libsqlite3.0.dylib
2025-06-01T22:18:05.3283560Z -rwxr-xr-x    2 ec2-user  staff   620208 Mar  3 08:23 libssl.3.dylib
2025-06-01T22:18:05.3283840Z -rw-r--r--    2 ec2-user  staff   946992 Mar  3 08:23 libssl.a
2025-06-01T22:18:05.3284150Z lrwxr-xr-x    1 ec2-user  staff       14 Jun  1 21:08 libssl.dylib -> libssl.3.dylib
2025-06-01T22:18:05.3284480Z -rwxr-xr-x    1 ec2-user  staff  1628848 Jun  1 21:08 libtcl8.6.dylib
2025-06-01T22:18:05.3284780Z -rwxr-xr-x    3 ec2-user  staff     5856 May  3  2024 libtclstub8.6.a
2025-06-01T22:18:05.3285100Z lrwxr-xr-x    1 ec2-user  staff       17 Jun  1 21:08 libtinfo.6.dylib -> libtinfow.6.dylib
2025-06-01T22:18:05.3285440Z lrwxr-xr-x    1 ec2-user  staff       11 Jun  1 21:08 libtinfo.a -> libtinfow.a
2025-06-01T22:18:05.3285790Z lrwxr-xr-x    1 ec2-user  staff       17 Jun  1 21:08 libtinfo.dylib -> libtinfow.6.dylib
2025-06-01T22:18:05.3286120Z -rwxr-xr-x    1 ec2-user  staff   255072 Jun  1 21:08 libtinfow.6.dylib
2025-06-01T22:18:05.3286410Z -rw-r--r--@   1 ec2-user  staff   345456 Jun  1 21:08 libtinfow.a
2025-06-01T22:18:05.3286720Z lrwxr-xr-x    1 ec2-user  staff       17 Jun  1 21:08 libtinfow.dylib -> libtinfow.6.dylib
2025-06-01T22:18:05.3287040Z -rwxr-xr-x    3 ec2-user  staff  1590336 May  3  2024 libtk8.6.dylib
2025-06-01T22:18:05.3287330Z -rwxr-xr-x    3 ec2-user  staff     4728 May  3  2024 libtkstub8.6.a
2025-06-01T22:18:05.3287610Z -rwxr-xr-x    3 ec2-user  staff   140576 Apr 30  2024 libz.1.2.13.dylib
2025-06-01T22:18:05.3287940Z lrwxr-xr-x    1 ec2-user  staff       17 Jun  1 21:08 libz.1.dylib -> libz.1.2.13.dylib
2025-06-01T22:18:05.3288230Z -rw-r--r--    3 ec2-user  staff   105176 Apr 30  2024 libz.a
2025-06-01T22:18:05.3288530Z lrwxr-xr-x    1 ec2-user  staff       17 Jun  1 21:08 libz.dylib -> libz.1.2.13.dylib
2025-06-01T22:18:05.3288860Z drwxr-xr-x    3 ec2-user  staff       96 Jun  1 21:08 ossl-modules
2025-06-01T22:18:05.3289150Z drwxr-xr-x   24 ec2-user  staff      768 Jun  1 21:08 pkgconfig
2025-06-01T22:18:05.3289440Z lrwxr-xr-x    1 ec2-user  staff       10 Jun  1 21:08 python3.1 -> python3.12
2025-06-01T22:18:05.3289750Z drwxr-xr-x  206 ec2-user  staff     6592 Jun  1 21:08 python3.12
2025-06-01T22:18:05.3290030Z drwxr-xr-x    4 ec2-user  staff      128 Jun  1 21:08 sqlite3.44.2
2025-06-01T22:18:05.3290300Z drwxr-xr-x    5 ec2-user  staff      160 Jun  1 21:08 tcl8
2025-06-01T22:18:05.3290560Z drwxr-xr-x   17 ec2-user  staff      544 Jun  1 21:08 tcl8.6
2025-06-01T22:18:05.3290820Z -rw-r--r--    1 ec2-user  staff     9617 Jun  1 21:08 tclConfig.sh
2025-06-01T22:18:05.3291100Z -rw-r--r--    3 ec2-user  staff      773 May  3  2024 tclooConfig.sh
2025-06-01T22:18:05.3291380Z drwxr-xr-x    7 ec2-user  staff      224 Jun  1 21:08 tdbc1.1.7
2025-06-01T22:18:05.3291660Z drwxr-xr-x    5 ec2-user  staff      160 Jun  1 21:08 tdbcmysql1.1.7
2025-06-01T22:18:05.3291960Z drwxr-xr-x    5 ec2-user  staff      160 Jun  1 21:08 tdbcodbc1.1.7
2025-06-01T22:18:05.3292260Z drwxr-xr-x    5 ec2-user  staff      160 Jun  1 21:08 tdbcpostgres1.1.7
2025-06-01T22:18:05.3292580Z lrwxr-xr-x    1 ec2-user  staff       17 Jun  1 21:08 terminfo -> ../share/terminfo
2025-06-01T22:18:05.3292900Z drwxr-xr-x    5 ec2-user  staff      160 Jun  1 21:08 thread2.8.9
2025-06-01T22:18:05.3293180Z drwxr-xr-x   40 ec2-user  staff     1280 Jun  1 21:08 tk8.6
2025-06-01T22:18:05.3293460Z -rw-r--r--    1 ec2-user  staff     4935 Jun  1 21:08 tkConfig.sh
2025-06-01T22:18:05.3293690Z Testing custom script operators
2025-06-01T22:18:05.3293990Z ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-06-01T22:18:05.3294300Z + mkdir build
2025-06-01T22:18:05.3315150Z + pushd build
2025-06-01T22:18:05.3315770Z ~/runner/_work/pytorch/pytorch/test/custom_operator/build ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-06-01T22:18:05.3318590Z ++ python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())'
2025-06-01T22:18:05.4277850Z + SITE_PACKAGES=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages
2025-06-01T22:18:05.4278480Z + CMAKE_PREFIX_PATH=/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch
2025-06-01T22:18:05.4278970Z + /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/bin/cmake ..
2025-06-01T22:18:05.9824750Z -- The C compiler identification is AppleClang 15.0.0.15000309
2025-06-01T22:18:06.0582630Z -- The CXX compiler identification is AppleClang 15.0.0.15000309
2025-06-01T22:18:06.0823210Z -- Detecting C compiler ABI info
2025-06-01T22:18:06.2784340Z -- Detecting C compiler ABI info - done
2025-06-01T22:18:06.2818840Z -- Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/clang - skipped
2025-06-01T22:18:06.2827040Z -- Detecting C compile features
2025-06-01T22:18:06.2836670Z -- Detecting C compile features - done
2025-06-01T22:18:06.2912230Z -- Detecting CXX compiler ABI info
2025-06-01T22:18:06.3739780Z -- Detecting CXX compiler ABI info - done
2025-06-01T22:18:06.3773900Z -- Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/clang++ - skipped
2025-06-01T22:18:06.3776060Z -- Detecting CXX compile features
2025-06-01T22:18:06.3779280Z -- Detecting CXX compile features - done
2025-06-01T22:18:06.4384960Z CMake Warning at /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2025-06-01T22:18:06.4385560Z   static library kineto_LIBRARY-NOTFOUND not found.
2025-06-01T22:18:06.4385790Z Call Stack (most recent call first):
2025-06-01T22:18:06.4386340Z   /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found)
2025-06-01T22:18:06.4386870Z   CMakeLists.txt:9 (find_package)
2025-06-01T22:18:06.4387000Z 
2025-06-01T22:18:06.4387010Z 
2025-06-01T22:18:06.4389010Z -- Found Torch: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib/libtorch.dylib  
2025-06-01T22:18:06.4390410Z -- Configuring done
2025-06-01T22:18:06.4595250Z -- Generating done
2025-06-01T22:18:06.4622200Z -- Build files have been written to: /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build
2025-06-01T22:18:06.4669510Z + make VERBOSE=1
2025-06-01T22:18:06.4789910Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/cmake/data/bin/cmake -S/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator -B/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build --check-build-system CMakeFiles/Makefile.cmake 0
2025-06-01T22:18:06.4835370Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_progress_start /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build//CMakeFiles/progress.marks
2025-06-01T22:18:06.4869430Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/Makefile2 all
2025-06-01T22:18:06.4883590Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/custom_ops.dir/build.make CMakeFiles/custom_ops.dir/depend
2025-06-01T22:18:06.4899010Z cd /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build && /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_depends "Unix Makefiles" /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles/custom_ops.dir/DependInfo.cmake --color=
2025-06-01T22:18:06.4956310Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/custom_ops.dir/build.make CMakeFiles/custom_ops.dir/build
2025-06-01T22:18:06.5020420Z [ 25%] Building CXX object CMakeFiles/custom_ops.dir/op.cpp.o
2025-06-01T22:18:06.5023690Z /Library/Developer/CommandLineTools/usr/bin/clang++ -Dcustom_ops_EXPORTS -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -fPIC -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -std=gnu++17 -MD -MT CMakeFiles/custom_ops.dir/op.cpp.o -MF CMakeFiles/custom_ops.dir/op.cpp.o.d -o CMakeFiles/custom_ops.dir/op.cpp.o -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/op.cpp
2025-06-01T22:18:14.1009450Z [ 50%] Linking CXX shared library libcustom_ops.dylib
2025-06-01T22:18:14.1011030Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_link_script CMakeFiles/custom_ops.dir/link.txt --verbose=1
2025-06-01T22:18:14.1045430Z /Library/Developer/CommandLineTools/usr/bin/clang++  -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -dynamiclib -Wl,-headerpad_max_install_names -o libcustom_ops.dylib -install_name @rpath/libcustom_ops.dylib CMakeFiles/custom_ops.dir/op.cpp.o -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib/libc10.dylib /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib/libtorch.dylib /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib/libtorch_cpu.dylib /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib/libc10.dylib -Xlinker -framework -Xlinker Metal -Xlinker -framework -Xlinker MetalPerformanceShaders -Xlinker -framework -Xlinker Foundation -Xlinker -framework -Xlinker Accelerate 
2025-06-01T22:18:14.2231930Z [ 50%] Built target custom_ops
2025-06-01T22:18:14.2233720Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/test_custom_ops.dir/build.make CMakeFiles/test_custom_ops.dir/depend
2025-06-01T22:18:14.2251160Z cd /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build && /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_depends "Unix Makefiles" /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles/test_custom_ops.dir/DependInfo.cmake --color=
2025-06-01T22:18:14.2308460Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/test_custom_ops.dir/build.make CMakeFiles/test_custom_ops.dir/build
2025-06-01T22:18:14.2372790Z [ 75%] Building CXX object CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o
2025-06-01T22:18:14.2376420Z /Library/Developer/CommandLineTools/usr/bin/clang++  -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include -isystem /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -std=gnu++17 -MD -MT CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -MF CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o.d -o CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/test_custom_ops.cpp
2025-06-01T22:18:17.7573230Z [100%] Linking CXX executable test_custom_ops
2025-06-01T22:18:17.7574760Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_link_script CMakeFiles/test_custom_ops.dir/link.txt --verbose=1
2025-06-01T22:18:17.7608270Z /Library/Developer/CommandLineTools/usr/bin/clang++  -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -Wl,-search_paths_first -Wl,-headerpad_max_install_names CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -o test_custom_ops -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -Wl,-rpath,/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib libcustom_ops.dylib /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib/libtorch.dylib /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib/libtorch_cpu.dylib /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib/libc10.dylib -Xlinker -framework -Xlinker Metal -Xlinker -framework -Xlinker MetalPerformanceShaders -Xlinker -framework -Xlinker Foundation -Xlinker -framework -Xlinker Accelerate /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/lib/libc10.dylib 
2025-06-01T22:18:17.8485330Z [100%] Built target test_custom_ops
2025-06-01T22:18:17.8489030Z /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_progress_start /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles 0
2025-06-01T22:18:17.8526250Z + popd
2025-06-01T22:18:17.8526410Z + python test_custom_ops.py -v
2025-06-01T22:18:17.8526730Z ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-06-01T22:18:19.4777820Z /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/pointwise.py:11: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
2025-06-01T22:18:19.4778710Z   @torch.library.impl_abstract("custom::cos")
2025-06-01T22:18:19.5068470Z /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/pointwise.py:17: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
2025-06-01T22:18:19.5069460Z   @torch.library.impl_abstract("custom::tan")
2025-06-01T22:18:19.5130250Z 
2025-06-01T22:18:19.5130420Z Running tests...
2025-06-01T22:18:19.5130640Z ----------------------------------------------------------------------
2025-06-01T22:18:19.5131010Z Test results will be stored in test-reports/python-unittest/test_custom_ops
2025-06-01T22:18:19.5992140Z   test_abstract_impl_pystub_faketensor (__main__.TestCustomOperators.test_abstract_impl_pystub_faketensor) ... /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/my_custom_ops.py:9: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
2025-06-01T22:18:19.5993410Z   @torch.library.impl_abstract("custom::nonzero")
2025-06-01T22:18:19.6035840Z /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/my_custom_ops.py:13: FutureWarning: `create_unbacked_symint` is deprecated, please use `new_dynamic_size` instead
2025-06-01T22:18:19.6036440Z   nnz = ctx.create_unbacked_symint()
2025-06-01T22:18:19.6084890Z ok (0.095s)
2025-06-01T22:18:19.6102530Z   test_abstract_impl_pystub_meta (__main__.TestCustomOperators.test_abstract_impl_pystub_meta) ... /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/my_custom_ops2.py:9: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
2025-06-01T22:18:19.6103560Z   @torch.library.impl_abstract("custom::sin")
2025-06-01T22:18:19.6112640Z ok (0.003s)
2025-06-01T22:18:19.6119990Z   test_calling_custom_op (__main__.TestCustomOperators.test_calling_custom_op) ... ok (0.001s)
2025-06-01T22:18:19.6324150Z   test_calling_custom_op_inside_script_module (__main__.TestCustomOperators.test_calling_custom_op_inside_script_module) ... ok (0.020s)
2025-06-01T22:18:19.6327670Z   test_calling_custom_op_string (__main__.TestCustomOperators.test_calling_custom_op_string) ... ok (0.000s)
2025-06-01T22:18:19.6338910Z   test_calling_custom_op_with_autograd (__main__.TestCustomOperators.test_calling_custom_op_with_autograd) ... /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894/lib/python3.12/site-packages/torch/autograd/graph.py:829: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/torch/csrc/autograd/engine.cpp:1299.)
2025-06-01T22:18:19.6340750Z   return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-06-01T22:18:19.6342960Z ok (0.001s)
2025-06-01T22:18:19.6346610Z   test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators.test_calling_custom_op_with_autograd_in_nograd_mode) ... ok (0.000s)
2025-06-01T22:18:19.6347980Z   test_custom_library_is_loaded (__main__.TestCustomOperators.test_custom_library_is_loaded) ... ok (0.000s)
2025-06-01T22:18:19.7335290Z   test_dynamo_pystub_suggestion (__main__.TestCustomOperators.test_dynamo_pystub_suggestion) ... ok (0.099s)
2025-06-01T22:18:19.7339360Z   test_op_with_incorrect_abstract_impl_pystub (__main__.TestCustomOperators.test_op_with_incorrect_abstract_impl_pystub) ... ok (0.000s)
2025-06-01T22:18:19.7342610Z   test_op_with_no_abstract_impl_pystub (__main__.TestCustomOperators.test_op_with_no_abstract_impl_pystub) ... ok (0.000s)
2025-06-01T22:18:19.7424370Z   test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators.test_saving_and_loading_script_module_with_custom_op) ... ok (0.008s)
2025-06-01T22:18:19.7424790Z 
2025-06-01T22:18:19.7424900Z ----------------------------------------------------------------------
2025-06-01T22:18:19.7425140Z Ran 12 tests in 0.229s
2025-06-01T22:18:19.7425240Z 
2025-06-01T22:18:19.7425290Z OK
2025-06-01T22:18:19.7425350Z 
2025-06-01T22:18:19.7425400Z Generating XML reports...
2025-06-01T22:18:19.7467690Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20250601221819.xml
2025-06-01T22:18:20.0675640Z + python model.py --export-script-module=model.pt
2025-06-01T22:18:20.8243360Z + build/test_custom_ops ./model.pt
2025-06-01T22:18:21.0225930Z [W601 22:18:21.201571000 engine.cpp:1299] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2025-06-01T22:18:21.0903110Z ok
2025-06-01T22:18:21.0917750Z + popd
2025-06-01T22:18:21.0917910Z ~/runner/_work/pytorch/pytorch
2025-06-01T22:18:21.0918100Z + assert_git_not_dirty
2025-06-01T22:18:21.0918270Z + [[ macos-py3-arm64 != *rocm* ]]
2025-06-01T22:18:21.0918450Z + [[ macos-py3-arm64 != *xla* ]]
2025-06-01T22:18:21.0924480Z ++ git status --porcelain
2025-06-01T22:18:21.0925600Z ++ grep -v '?? third_party'
2025-06-01T22:18:21.7163780Z ++ true
2025-06-01T22:18:21.7165160Z + git_status=
2025-06-01T22:18:21.7165310Z + [[ -n '' ]]
2025-06-01T22:18:21.9490020Z ##[group]Run cat test/**/*_toprint.log || true
2025-06-01T22:18:21.9490260Z cat test/**/*_toprint.log || true
2025-06-01T22:18:22.1743590Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T22:18:22.1743810Z env:
2025-06-01T22:18:22.1743950Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:22.1744110Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:22.1744310Z   TEST_CONFIG: default
2025-06-01T22:18:22.1744470Z   SHARD_NUMBER: 1
2025-06-01T22:18:22.1744610Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:22.1744730Z   PR_BODY: 
2025-06-01T22:18:22.1745330Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:22.1746270Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:22.1746740Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:22.1747200Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:22.1747780Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:22.1748510Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:22.1749050Z ##[endgroup]
2025-06-01T22:18:22.6609370Z cat: test/**/*_toprint.log: No such file or directory
2025-06-01T22:18:22.6664720Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-06-01T22:18:22.6664940Z kill "$MONITOR_SCRIPT_PID"
2025-06-01T22:18:22.6682770Z shell: /bin/bash -e -l {0}
2025-06-01T22:18:22.6682920Z env:
2025-06-01T22:18:22.6683080Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:22.6683310Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:22.6683480Z   TEST_CONFIG: default
2025-06-01T22:18:22.6683660Z   SHARD_NUMBER: 1
2025-06-01T22:18:22.6683810Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:22.6683950Z   PR_BODY: 
2025-06-01T22:18:22.6684530Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:22.6685190Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:22.6685540Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:22.6685930Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:22.6686480Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:22.6687260Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:22.6687720Z   MONITOR_SCRIPT_PID: 11980
2025-06-01T22:18:22.6687870Z ##[endgroup]
2025-06-01T22:18:24.9361470Z Prepare all required actions
2025-06-01T22:18:24.9361760Z Getting action download info
2025-06-01T22:18:25.0930430Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-06-01T22:18:25.3140110Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-06-01T22:18:25.5830450Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-06-01T22:18:25.5830720Z with:
2025-06-01T22:18:25.5830840Z   use-gha: true
2025-06-01T22:18:25.5831040Z   file-suffix: test-default-1-3-macos-m1-stable_43268262760
2025-06-01T22:18:25.5831270Z   s3-bucket: gha-artifacts
2025-06-01T22:18:25.5831420Z env:
2025-06-01T22:18:25.5831540Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:25.5831710Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:25.5831890Z   TEST_CONFIG: default
2025-06-01T22:18:25.5832030Z   SHARD_NUMBER: 1
2025-06-01T22:18:25.5832160Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:25.5832310Z   PR_BODY: 
2025-06-01T22:18:25.5832900Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:25.5833620Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:25.5834000Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:25.5834360Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:25.5834930Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:25.5835670Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:25.5836110Z ##[endgroup]
2025-06-01T22:18:25.5904160Z ##[group]Run actions/upload-artifact@v4
2025-06-01T22:18:25.5904340Z with:
2025-06-01T22:18:25.5904580Z   name: test-jsons-runattempt1-test-default-1-3-macos-m1-stable_43268262760.zip
2025-06-01T22:18:25.5904870Z   retention-days: 14
2025-06-01T22:18:25.5905020Z   if-no-files-found: warn
2025-06-01T22:18:25.5905170Z   path: test/**/*.json
2025-06-01T22:18:25.5905310Z   compression-level: 6
2025-06-01T22:18:25.5905450Z   overwrite: false
2025-06-01T22:18:25.5905590Z   include-hidden-files: false
2025-06-01T22:18:25.5905740Z env:
2025-06-01T22:18:25.5905860Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:25.5906020Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:25.5906190Z   TEST_CONFIG: default
2025-06-01T22:18:25.5906330Z   SHARD_NUMBER: 1
2025-06-01T22:18:25.5906460Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:25.5906590Z   PR_BODY: 
2025-06-01T22:18:25.5907180Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:25.5907860Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:25.5908200Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:25.5908560Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:25.5909130Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:25.5909870Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:25.5910310Z ##[endgroup]
2025-06-01T22:18:26.0996890Z With the provided path, there will be 8 files uploaded
2025-06-01T22:18:26.1000570Z Artifact name is valid!
2025-06-01T22:18:26.1000820Z Root directory input is valid!
2025-06-01T22:18:26.1572610Z Beginning upload of artifact content to blob storage
2025-06-01T22:18:26.2342620Z Uploaded bytes 46667
2025-06-01T22:18:26.2514680Z Finished uploading artifact content to blob storage!
2025-06-01T22:18:26.2516490Z SHA256 digest of uploaded artifact zip is 0810b5da992fa89f6bd83f6dec5e058e62c68aa5062b6574790a1bed9bb65207
2025-06-01T22:18:26.2517480Z Finalizing artifact upload
2025-06-01T22:18:26.3233990Z Artifact test-jsons-runattempt1-test-default-1-3-macos-m1-stable_43268262760.zip.zip successfully finalized. Artifact ID 3237384377
2025-06-01T22:18:26.3235890Z Artifact test-jsons-runattempt1-test-default-1-3-macos-m1-stable_43268262760.zip has been successfully uploaded! Final size is 46667 bytes. Artifact ID is 3237384377
2025-06-01T22:18:26.3253190Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/15379340894/artifacts/3237384377
2025-06-01T22:18:26.3380150Z ##[group]Run actions/upload-artifact@v4
2025-06-01T22:18:26.3380590Z with:
2025-06-01T22:18:26.3381150Z   name: test-reports-runattempt1-test-default-1-3-macos-m1-stable_43268262760.zip
2025-06-01T22:18:26.3381820Z   retention-days: 14
2025-06-01T22:18:26.3382180Z   if-no-files-found: ignore
2025-06-01T22:18:26.3382580Z   path: test/**/*.xml
test/**/*.csv

2025-06-01T22:18:26.3383010Z   compression-level: 6
2025-06-01T22:18:26.3383360Z   overwrite: false
2025-06-01T22:18:26.3383690Z   include-hidden-files: false
2025-06-01T22:18:26.3384050Z env:
2025-06-01T22:18:26.3384320Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:26.3384710Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:26.3385100Z   TEST_CONFIG: default
2025-06-01T22:18:26.3385470Z   SHARD_NUMBER: 1
2025-06-01T22:18:26.3385770Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:26.3393190Z   PR_BODY: 
2025-06-01T22:18:26.3394560Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:26.3396080Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:26.3403880Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:26.3404690Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:26.3442920Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:26.3444400Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:26.3461340Z ##[endgroup]
2025-06-01T22:18:26.7152360Z With the provided path, there will be 222 files uploaded
2025-06-01T22:18:26.7155020Z Artifact name is valid!
2025-06-01T22:18:26.7155450Z Root directory input is valid!
2025-06-01T22:18:26.7701690Z Beginning upload of artifact content to blob storage
2025-06-01T22:18:27.2087740Z Uploaded bytes 1106256
2025-06-01T22:18:27.2268750Z Finished uploading artifact content to blob storage!
2025-06-01T22:18:27.2271320Z SHA256 digest of uploaded artifact zip is d0cbb9a6fc6c050ad1166b085ec11c739f438c5882db6e9ca0dc0b79c9cf021e
2025-06-01T22:18:27.2272850Z Finalizing artifact upload
2025-06-01T22:18:27.2951400Z Artifact test-reports-runattempt1-test-default-1-3-macos-m1-stable_43268262760.zip.zip successfully finalized. Artifact ID 3237384404
2025-06-01T22:18:27.2954420Z Artifact test-reports-runattempt1-test-default-1-3-macos-m1-stable_43268262760.zip has been successfully uploaded! Final size is 1106256 bytes. Artifact ID is 3237384404
2025-06-01T22:18:27.2979170Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/15379340894/artifacts/3237384404
2025-06-01T22:18:27.3169230Z ##[group]Run actions/upload-artifact@v4
2025-06-01T22:18:27.3169800Z with:
2025-06-01T22:18:27.3170460Z   name: logs-runattempt1-test-default-1-3-macos-m1-stable_43268262760.zip
2025-06-01T22:18:27.3171210Z   retention-days: 14
2025-06-01T22:18:27.3172140Z   if-no-files-found: ignore
2025-06-01T22:18:27.3172620Z   path: usage_log.txt
test/**/*.log

2025-06-01T22:18:27.3173170Z   compression-level: 6
2025-06-01T22:18:27.3173580Z   overwrite: false
2025-06-01T22:18:27.3174200Z   include-hidden-files: false
2025-06-01T22:18:27.3174690Z env:
2025-06-01T22:18:27.3175280Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:27.3175790Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:27.3176310Z   TEST_CONFIG: default
2025-06-01T22:18:27.3176700Z   SHARD_NUMBER: 1
2025-06-01T22:18:27.3177110Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:27.3177470Z   PR_BODY: 
2025-06-01T22:18:27.3178950Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:27.3180810Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:27.3181700Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:27.3196740Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:27.3215030Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:27.3216690Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:27.3217650Z ##[endgroup]
2025-06-01T22:18:27.7109890Z Multiple search paths detected. Calculating the least common ancestor of all paths
2025-06-01T22:18:27.7111010Z The least common ancestor is /Users/ec2-user/runner/_work/pytorch/pytorch. This will be the root directory of the artifact
2025-06-01T22:18:27.7111500Z With the provided path, there will be 271 files uploaded
2025-06-01T22:18:27.7113800Z Artifact name is valid!
2025-06-01T22:18:27.7114310Z Root directory input is valid!
2025-06-01T22:18:27.7679530Z Beginning upload of artifact content to blob storage
2025-06-01T22:18:28.2416860Z Uploaded bytes 1670380
2025-06-01T22:18:28.2617120Z Finished uploading artifact content to blob storage!
2025-06-01T22:18:28.2620370Z SHA256 digest of uploaded artifact zip is a64b56abef183f653934495524b224bb6308ea538585fc5240a9202fcabbf9a9
2025-06-01T22:18:28.2622370Z Finalizing artifact upload
2025-06-01T22:18:28.3330300Z Artifact logs-runattempt1-test-default-1-3-macos-m1-stable_43268262760.zip.zip successfully finalized. Artifact ID 3237384440
2025-06-01T22:18:28.3334910Z Artifact logs-runattempt1-test-default-1-3-macos-m1-stable_43268262760.zip has been successfully uploaded! Final size is 1670380 bytes. Artifact ID is 3237384440
2025-06-01T22:18:28.3364660Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/15379340894/artifacts/3237384440
2025-06-01T22:18:28.3714500Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-06-01T22:18:28.3715130Z with:
2025-06-01T22:18:28.3715450Z   benchmark-results-dir: test/test-reports
2025-06-01T22:18:28.3715880Z   dry-run: false
2025-06-01T22:18:28.3716190Z   schema-version: v3
2025-06-01T22:18:28.3717390Z   github-token: ***
2025-06-01T22:18:28.3717700Z env:
2025-06-01T22:18:28.3717990Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:28.3718370Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:28.3718770Z   TEST_CONFIG: default
2025-06-01T22:18:28.3719100Z   SHARD_NUMBER: 1
2025-06-01T22:18:28.3719390Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:28.3719700Z   PR_BODY: 
2025-06-01T22:18:28.3720940Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:28.3722450Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:28.3723200Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:28.3723990Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:28.3725200Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:28.3727180Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:28.3728160Z ##[endgroup]
2025-06-01T22:18:28.3752460Z ##[group]Run set -eux
2025-06-01T22:18:28.3752810Z set -eux
2025-06-01T22:18:28.3753170Z python3 -mpip install boto3==1.35.33
2025-06-01T22:18:28.3793160Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T22:18:28.3793570Z env:
2025-06-01T22:18:28.3793800Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:28.3794140Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:28.3794490Z   TEST_CONFIG: default
2025-06-01T22:18:28.3794750Z   SHARD_NUMBER: 1
2025-06-01T22:18:28.3795010Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:28.3795270Z   PR_BODY: 
2025-06-01T22:18:28.3796320Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:28.3797590Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:28.3798230Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:28.3798930Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:28.3799960Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:28.3801360Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:28.3802190Z ##[endgroup]
2025-06-01T22:18:28.4103640Z + python3 -mpip install boto3==1.35.33
2025-06-01T22:18:29.2912230Z Collecting boto3==1.35.33
2025-06-01T22:18:29.2942280Z   Using cached boto3-1.35.33-py3-none-any.whl.metadata (6.6 kB)
2025-06-01T22:18:29.5548020Z Collecting botocore<1.36.0,>=1.35.33 (from boto3==1.35.33)
2025-06-01T22:18:29.5569830Z   Using cached botocore-1.35.99-py3-none-any.whl.metadata (5.7 kB)
2025-06-01T22:18:29.5695590Z Collecting jmespath<2.0.0,>=0.7.1 (from boto3==1.35.33)
2025-06-01T22:18:29.5724010Z   Using cached jmespath-1.0.1-py3-none-any.whl.metadata (7.6 kB)
2025-06-01T22:18:29.5886010Z Collecting s3transfer<0.11.0,>=0.10.0 (from boto3==1.35.33)
2025-06-01T22:18:29.5918830Z   Using cached s3transfer-0.10.4-py3-none-any.whl.metadata (1.7 kB)
2025-06-01T22:18:29.6060570Z Collecting python-dateutil<3.0.0,>=2.1 (from botocore<1.36.0,>=1.35.33->boto3==1.35.33)
2025-06-01T22:18:29.6087360Z   Using cached python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)
2025-06-01T22:18:29.6112540Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.20)
2025-06-01T22:18:29.6809080Z Collecting six>=1.5 (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33)
2025-06-01T22:18:29.6854360Z   Using cached six-1.17.0-py2.py3-none-any.whl.metadata (1.7 kB)
2025-06-01T22:18:29.6941210Z Using cached boto3-1.35.33-py3-none-any.whl (139 kB)
2025-06-01T22:18:29.6967570Z Using cached botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-06-01T22:18:29.7421400Z Using cached jmespath-1.0.1-py3-none-any.whl (20 kB)
2025-06-01T22:18:29.7439400Z Using cached s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-06-01T22:18:29.7463060Z Using cached python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)
2025-06-01T22:18:29.7492680Z Using cached six-1.17.0-py2.py3-none-any.whl (11 kB)
2025-06-01T22:18:29.8186230Z Installing collected packages: six, jmespath, python-dateutil, botocore, s3transfer, boto3
2025-06-01T22:18:30.3168230Z Successfully installed boto3-1.35.33 botocore-1.35.99 jmespath-1.0.1 python-dateutil-2.9.0.post0 s3transfer-0.10.4 six-1.17.0
2025-06-01T22:18:30.3921700Z ##[group]Run set -eux
2025-06-01T22:18:30.3922030Z set -eux
2025-06-01T22:18:30.3922220Z 
2025-06-01T22:18:30.3922400Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-06-01T22:18:30.3922650Z   echo "Missing github-token input"
2025-06-01T22:18:30.3922870Z   exit 1
2025-06-01T22:18:30.3923050Z fi
2025-06-01T22:18:30.3942390Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T22:18:30.3942640Z env:
2025-06-01T22:18:30.3942790Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:30.3942980Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:30.3943200Z   TEST_CONFIG: default
2025-06-01T22:18:30.3943380Z   SHARD_NUMBER: 1
2025-06-01T22:18:30.3943530Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:30.3943690Z   PR_BODY: 
2025-06-01T22:18:30.3944290Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:30.3945010Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:30.3945370Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:30.3945770Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:30.3946380Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:30.3955690Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:30.3956390Z   GITHUB_TOKEN: ***
2025-06-01T22:18:30.3956580Z ##[endgroup]
2025-06-01T22:18:30.4183200Z + [[ -z *** ]]
2025-06-01T22:18:30.4227690Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-06-01T22:18:30.4227970Z with:
2025-06-01T22:18:30.4228230Z   github-token: ***
2025-06-01T22:18:30.4228420Z env:
2025-06-01T22:18:30.4228590Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:30.4228830Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:30.4229040Z   TEST_CONFIG: default
2025-06-01T22:18:30.4229200Z   SHARD_NUMBER: 1
2025-06-01T22:18:30.4229370Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:30.4229530Z   PR_BODY: 
2025-06-01T22:18:30.4230120Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:30.4231150Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:30.4231530Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:30.4231920Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:30.4232500Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:30.4233280Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:30.4233740Z ##[endgroup]
2025-06-01T22:18:30.4244830Z ##[group]Run set -eux
2025-06-01T22:18:30.4245010Z set -eux
2025-06-01T22:18:30.4245170Z 
2025-06-01T22:18:30.4245500Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-06-01T22:18:30.4264970Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T22:18:30.4265260Z env:
2025-06-01T22:18:30.4265440Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:30.4265640Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:30.4265850Z   TEST_CONFIG: default
2025-06-01T22:18:30.4266030Z   SHARD_NUMBER: 1
2025-06-01T22:18:30.4266180Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:30.4266470Z   PR_BODY: 
2025-06-01T22:18:30.4267090Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:30.4267930Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:30.4268340Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:30.4268760Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:30.4269350Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:30.4270140Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:30.4270740Z   GITHUB_TOKEN: ***
2025-06-01T22:18:30.4270910Z ##[endgroup]
2025-06-01T22:18:30.4501010Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 15379340894 i-071cf36b9fdb56f34
2025-06-01T22:18:31.1451760Z setting job-id=43268262760
2025-06-01T22:18:31.1453190Z setting job-name=macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-06-01T22:18:31.1666490Z ##[group]Run set -eux
2025-06-01T22:18:31.1667260Z set -eux
2025-06-01T22:18:31.1667740Z 
2025-06-01T22:18:31.1668510Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-06-01T22:18:31.1669580Z   --schema-version "${SCHEMA_VERSION}" \
2025-06-01T22:18:31.1670320Z   --repo "${REPO}" \
2025-06-01T22:18:31.1671000Z   --head-branch "${HEAD_BRANCH}" \
2025-06-01T22:18:31.1671750Z   --head-sha "${HEAD_SHA}" \
2025-06-01T22:18:31.1672560Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-06-01T22:18:31.1673360Z   --run-attempt "${RUN_ATTEMPT}" \
2025-06-01T22:18:31.1674030Z   --job-id "${JOB_ID}" \
2025-06-01T22:18:31.1674680Z   --job-name "${JOB_NAME}"
2025-06-01T22:18:31.1724720Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T22:18:31.1725310Z env:
2025-06-01T22:18:31.1725700Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:31.1726210Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:31.1726710Z   TEST_CONFIG: default
2025-06-01T22:18:31.1727150Z   SHARD_NUMBER: 1
2025-06-01T22:18:31.1727560Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:31.1727950Z   PR_BODY: 
2025-06-01T22:18:31.1729960Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:31.1731750Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:31.1732640Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.1733770Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.1744770Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:31.1770620Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.1771960Z   SCHEMA_VERSION: v3
2025-06-01T22:18:31.1772440Z   REPO: pytorch/pytorch
2025-06-01T22:18:31.1772890Z   HEAD_BRANCH: refs/heads/main
2025-06-01T22:18:31.1773470Z   HEAD_SHA: f7c09f864a6c6467a7454f1431340d3338473fd1
2025-06-01T22:18:31.1774070Z   WORKFLOW_RUN_ID: 15379340894
2025-06-01T22:18:31.1774520Z   RUN_ATTEMPT: 1
2025-06-01T22:18:31.1775000Z   JOB_ID: 43268262760
2025-06-01T22:18:31.1775600Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-06-01T22:18:31.1776560Z ##[endgroup]
2025-06-01T22:18:31.2129170Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha f7c09f864a6c6467a7454f1431340d3338473fd1 --workflow-id 15379340894 --run-attempt 1 --job-id 43268262760 --job-name 'macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)'
2025-06-01T22:18:31.2379540Z ##[group]Run set -eux
2025-06-01T22:18:31.2379750Z set -eux
2025-06-01T22:18:31.2379890Z 
2025-06-01T22:18:31.2380080Z # TODO (huydhn): Implement this part
2025-06-01T22:18:31.2380330Z echo "runners=[]" >> "${GITHUB_OUTPUT}"
2025-06-01T22:18:31.2398720Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T22:18:31.2398990Z env:
2025-06-01T22:18:31.2399120Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:31.2399330Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:31.2399550Z   TEST_CONFIG: default
2025-06-01T22:18:31.2399830Z   SHARD_NUMBER: 1
2025-06-01T22:18:31.2399990Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:31.2400140Z   PR_BODY: 
2025-06-01T22:18:31.2400740Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:31.2401450Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:31.2401820Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.2402210Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.2402800Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:31.2403560Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.2404040Z ##[endgroup]
2025-06-01T22:18:31.2624730Z + echo 'runners=[]'
2025-06-01T22:18:31.2648080Z ##[group]Run set -eux
2025-06-01T22:18:31.2648280Z set -eux
2025-06-01T22:18:31.2648440Z 
2025-06-01T22:18:31.2648610Z # TODO (huydhn): Implement this part
2025-06-01T22:18:31.2648880Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-06-01T22:18:31.2667490Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T22:18:31.2667730Z env:
2025-06-01T22:18:31.2668110Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:31.2668300Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:31.2668540Z   TEST_CONFIG: default
2025-06-01T22:18:31.2668700Z   SHARD_NUMBER: 1
2025-06-01T22:18:31.2668850Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:31.2669020Z   PR_BODY: 
2025-06-01T22:18:31.2669610Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:31.2670360Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:31.2670730Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.2671120Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.2671710Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:31.2672460Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.2672930Z ##[endgroup]
2025-06-01T22:18:31.2892710Z + echo 'dependencies={}'
2025-06-01T22:18:31.2916870Z ##[group]Run set -eux
2025-06-01T22:18:31.2917220Z set -eux
2025-06-01T22:18:31.2917370Z 
2025-06-01T22:18:31.2917740Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-06-01T22:18:31.2918090Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-06-01T22:18:31.2918430Z   # We don't want the job to fail if the directory doesn't exist
2025-06-01T22:18:31.2918700Z   exit 0
2025-06-01T22:18:31.2918860Z fi
2025-06-01T22:18:31.2919000Z 
2025-06-01T22:18:31.2919180Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-06-01T22:18:31.2919630Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-06-01T22:18:31.2920050Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-06-01T22:18:31.2920360Z     --metadata "${BENCHMARK_METADATA}" \
2025-06-01T22:18:31.2920660Z     --runners "${RUNNER_INFO}" \
2025-06-01T22:18:31.2920910Z     --dependencies "${DEPENDENCIES}" \
2025-06-01T22:18:31.2921150Z     --dry-run
2025-06-01T22:18:31.2921370Z else
2025-06-01T22:18:31.2921640Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-06-01T22:18:31.2922030Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-06-01T22:18:31.2922330Z     --metadata "${BENCHMARK_METADATA}" \
2025-06-01T22:18:31.2922570Z     --runners "${RUNNER_INFO}" \
2025-06-01T22:18:31.2922810Z     --dependencies "${DEPENDENCIES}"
2025-06-01T22:18:31.2923030Z fi
2025-06-01T22:18:31.2941690Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T22:18:31.2941940Z env:
2025-06-01T22:18:31.2942080Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:31.2942280Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:31.2942500Z   TEST_CONFIG: default
2025-06-01T22:18:31.2942660Z   SHARD_NUMBER: 1
2025-06-01T22:18:31.2942820Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:31.2943050Z   PR_BODY: 
2025-06-01T22:18:31.2956760Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:31.2957520Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:31.2957900Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.2958300Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.2959120Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:31.2959880Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.2960360Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-06-01T22:18:31.2960570Z   DRY_RUN: false
2025-06-01T22:18:31.2961300Z   BENCHMARK_METADATA: {"timestamp": 1748816311, "schema_version": "v3", "name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "f7c09f864a6c6467a7454f1431340d3338473fd1", "workflow_id": 15379340894, "run_attempt": 1, "job_id": 43268262760}
2025-06-01T22:18:31.2962050Z   RUNNER_INFO: []
2025-06-01T22:18:31.2962210Z   DEPENDENCIES: {}
2025-06-01T22:18:31.2962370Z ##[endgroup]
2025-06-01T22:18:31.3188880Z + [[ ! -d test/test-reports ]]
2025-06-01T22:18:31.3189230Z + [[ false == \t\r\u\e ]]
2025-06-01T22:18:31.3190680Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1748816311, "schema_version": "v3", "name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "f7c09f864a6c6467a7454f1431340d3338473fd1", "workflow_id": 15379340894, "run_attempt": 1, "job_id": 43268262760}' --runners '[]' --dependencies '{}'
2025-06-01T22:18:31.4758540Z /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'test_testing'}, {'test_file': 'test_openreg'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'export/test_sparse'}, {'test_file': 'test_sparse'}, {'test_file': 'test_package'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'test_autoload'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_transformers'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'test_functionalization'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_transformers_privateuse1'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'test_foreach'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'test_extension_utils'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_custom_ops'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'test_license'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'export/test_serdes'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'test_flop_counter'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'export/test_export'}, {'test_file': 'inductor/test_move_constructors_to_cuda'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'test_deploy'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_typing'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'test_pytree'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'test_logging'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'export/test_export_legacy'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_cpp_extensions_open_device_registration'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'test_file_check'}, {'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'test_namedtensor'}, {'test_file': 'inductor/test_config'}, {'test_file': 'test_optim'}, {'test_file': 'test_fx'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'test_import_stats'}, {'test_file': 'test_dispatch'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'export/test_tools'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'test_meta'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'export/test_schema'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'export/test_passes'}, {'test_file': 'test_openmp'}, {'test_file': 'test_module_tracker'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'export/test_db'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'test_jit'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'test_fx_passes'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'lazy/test_meta_kernel'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_show_pickle'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'test_complex'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'test_hub'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_utils'}, {'test_file': 'export/test_swap'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'test_ops_jit'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'test_weak'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'test_subclass'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'test_masked'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'test_content_store'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'test_modules'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'test_numba_integration'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'test_type_hints'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'test_jiterator'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'test_datapipe'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_monitor'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'test_decomp'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'export/test_serialize'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'test_stateless'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'optim/test_optim'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'export/test_experimental'}, {'test_file': 'export/test_hop'}, {'test_file': 'test_accelerator'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_shape_ops'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'test_itt'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'export/test_converter'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'test_tensorboard'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'test_cuda'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_type_info'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'test_dlpack'}, {'test_file': 'test_autograd'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'test_public_bindings'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'test_view_ops'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'export/test_verifier'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'test_futures'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'test_linalg'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'test_functional_optim'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'test_autocast'}, {'test_file': 'test_schema_check'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_dataloader'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'test_native_mha'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_nn'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'lazy/test_extract_compiled_graph'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_vulkan'}, {'test_file': 'test_ops'}, {'test_file': 'test_serialization'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'nn/test_init'}, {'test_file': 'test_mkldnn'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'test_torch'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'test_type_promotion'}, {'test_file': 'test_function_schema'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'test_reductions'}, {'test_file': 'test_prims'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_overrides'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'test_quantization'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'doctests'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'export/test_export_with_inline_and_install'}, {'test_file': 'export/test_package'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'xpu/test_fusion'}], 'excluded': []} from test/test-reports/td_exclusions-2bfc1e3a7e45cfff17e3.json is not a benchmark record, skipping
2025-06-01T22:18:31.4797410Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-06-01T22:18:31.4868140Z Prepare all required actions
2025-06-01T22:18:31.4868410Z Getting action download info
2025-06-01T22:18:31.6004990Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-06-01T22:18:31.6005520Z with:
2025-06-01T22:18:31.6005750Z   job_id: 43268262760
2025-06-01T22:18:31.6006140Z   job_name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-06-01T22:18:31.6006590Z   workflow_name: trunk
2025-06-01T22:18:31.6006890Z   workflow_run_id: 15379340894
2025-06-01T22:18:31.6007170Z   workflow_attempt: 1
2025-06-01T22:18:31.6007470Z   local_path: usage_log.txt
2025-06-01T22:18:31.6007750Z env:
2025-06-01T22:18:31.6007970Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:31.6008280Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:31.6008630Z   TEST_CONFIG: default
2025-06-01T22:18:31.6008880Z   SHARD_NUMBER: 1
2025-06-01T22:18:31.6009140Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:31.6009410Z   PR_BODY: 
2025-06-01T22:18:31.6010430Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:31.6011590Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:31.6012190Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.6012840Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.6013770Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:31.6015020Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.6015780Z ##[endgroup]
2025-06-01T22:18:31.6046640Z ##[group]Run echo "workflow_id: 15379340894"
2025-06-01T22:18:31.6047040Z echo "workflow_id: 15379340894"
2025-06-01T22:18:31.6047380Z echo "workflow_attempt: 1"
2025-06-01T22:18:31.6047700Z echo "workflow_Name: trunk"
2025-06-01T22:18:31.6048020Z echo "job_id: 43268262760"
2025-06-01T22:18:31.6048480Z echo "job_name:  macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)"
2025-06-01T22:18:31.6048950Z echo "artifact_prefix: "
2025-06-01T22:18:31.6049250Z python3 --version
2025-06-01T22:18:31.6077840Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T22:18:31.6078200Z env:
2025-06-01T22:18:31.6078410Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:31.6078710Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:31.6079020Z   TEST_CONFIG: default
2025-06-01T22:18:31.6079270Z   SHARD_NUMBER: 1
2025-06-01T22:18:31.6079520Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:31.6079760Z   PR_BODY: 
2025-06-01T22:18:31.6080730Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:31.6081860Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:31.6082450Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.6083050Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.6083970Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:31.6085190Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.6085920Z ##[endgroup]
2025-06-01T22:18:31.6355460Z workflow_id: 15379340894
2025-06-01T22:18:31.6355810Z workflow_attempt: 1
2025-06-01T22:18:31.6356010Z workflow_Name: trunk
2025-06-01T22:18:31.6356610Z job_id: 43268262760
2025-06-01T22:18:31.6356880Z job_name:  macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-06-01T22:18:31.6357320Z artifact_prefix: 
2025-06-01T22:18:31.6378760Z Python 3.9.19
2025-06-01T22:18:31.6408920Z ##[group]Run nick-fields/retry@v3.0.0
2025-06-01T22:18:31.6409140Z with:
2025-06-01T22:18:31.6409280Z   shell: bash
2025-06-01T22:18:31.6409430Z   timeout_minutes: 5
2025-06-01T22:18:31.6409600Z   max_attempts: 5
2025-06-01T22:18:31.6409770Z   retry_wait_seconds: 30
2025-06-01T22:18:31.6410140Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-06-01T22:18:31.6410530Z   polling_interval_seconds: 1
2025-06-01T22:18:31.6410740Z   warning_on_retry: true
2025-06-01T22:18:31.6410920Z   continue_on_error: false
2025-06-01T22:18:31.6411100Z env:
2025-06-01T22:18:31.6411250Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:31.6411440Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:31.6411650Z   TEST_CONFIG: default
2025-06-01T22:18:31.6411830Z   SHARD_NUMBER: 1
2025-06-01T22:18:31.6412000Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:31.6412170Z   PR_BODY: 
2025-06-01T22:18:31.6412780Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:31.6413520Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:31.6413900Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.6414300Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.6414860Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:31.6415630Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:31.6416120Z ##[endgroup]
2025-06-01T22:18:31.8971880Z Collecting python-dateutil==2.8.2
2025-06-01T22:18:31.8995280Z   Using cached python_dateutil-2.8.2-py2.py3-none-any.whl.metadata (8.2 kB)
2025-06-01T22:18:32.1197490Z Collecting boto3==1.35.42
2025-06-01T22:18:32.1240650Z   Using cached boto3-1.35.42-py3-none-any.whl.metadata (6.7 kB)
2025-06-01T22:18:32.1961240Z Collecting pandas==2.1.3
2025-06-01T22:18:32.2010000Z   Using cached pandas-2.1.3-cp39-cp39-macosx_11_0_arm64.whl.metadata (18 kB)
2025-06-01T22:18:32.2456700Z Collecting dataclasses_json==0.6.7
2025-06-01T22:18:32.2471700Z   Using cached dataclasses_json-0.6.7-py3-none-any.whl.metadata (25 kB)
2025-06-01T22:18:32.2502280Z Requirement already satisfied: six>=1.5 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.17.0)
2025-06-01T22:18:32.2509700Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99)
2025-06-01T22:18:32.2511610Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (from boto3==1.35.42) (1.0.1)
2025-06-01T22:18:32.2513550Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4)
2025-06-01T22:18:32.3685270Z Collecting numpy<2,>=1.22.4 (from pandas==2.1.3)
2025-06-01T22:18:32.3718040Z   Using cached numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl.metadata (61 kB)
2025-06-01T22:18:32.4060830Z Collecting pytz>=2020.1 (from pandas==2.1.3)
2025-06-01T22:18:32.4098150Z   Using cached pytz-2025.2-py2.py3-none-any.whl.metadata (22 kB)
2025-06-01T22:18:32.4235230Z Collecting tzdata>=2022.1 (from pandas==2.1.3)
2025-06-01T22:18:32.4265510Z   Using cached tzdata-2025.2-py2.py3-none-any.whl.metadata (1.4 kB)
2025-06-01T22:18:32.4541770Z Collecting marshmallow<4.0.0,>=3.18.0 (from dataclasses_json==0.6.7)
2025-06-01T22:18:32.4573800Z   Using cached marshmallow-3.26.1-py3-none-any.whl.metadata (7.3 kB)
2025-06-01T22:18:32.4677160Z Collecting typing-inspect<1,>=0.4.0 (from dataclasses_json==0.6.7)
2025-06-01T22:18:32.4720630Z   Using cached typing_inspect-0.9.0-py3-none-any.whl.metadata (1.5 kB)
2025-06-01T22:18:32.4765880Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.26.20)
2025-06-01T22:18:32.4772860Z Requirement already satisfied: packaging>=17.0 in /Users/ec2-user/runner/_work/_temp/miniconda/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (24.1)
2025-06-01T22:18:32.4853050Z Collecting mypy-extensions>=0.3.0 (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7)
2025-06-01T22:18:32.4892580Z   Using cached mypy_extensions-1.1.0-py3-none-any.whl.metadata (1.1 kB)
2025-06-01T22:18:32.5089910Z Collecting typing-extensions>=3.7.4 (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7)
2025-06-01T22:18:32.5123290Z   Using cached typing_extensions-4.13.2-py3-none-any.whl.metadata (3.0 kB)
2025-06-01T22:18:32.5203230Z Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-06-01T22:18:32.5242740Z Using cached boto3-1.35.42-py3-none-any.whl (139 kB)
2025-06-01T22:18:32.5269790Z Using cached pandas-2.1.3-cp39-cp39-macosx_11_0_arm64.whl (11.0 MB)
2025-06-01T22:18:32.5716020Z Using cached dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-06-01T22:18:32.5751240Z Using cached marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-06-01T22:18:32.5782090Z Using cached numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl (14.0 MB)
2025-06-01T22:18:32.6168620Z Using cached pytz-2025.2-py2.py3-none-any.whl (509 kB)
2025-06-01T22:18:32.6210020Z Using cached typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-06-01T22:18:32.6235690Z Using cached tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-06-01T22:18:32.6261800Z Using cached mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-06-01T22:18:32.6283040Z Using cached typing_extensions-4.13.2-py3-none-any.whl (45 kB)
2025-06-01T22:18:32.7018100Z Installing collected packages: pytz, tzdata, typing-extensions, python-dateutil, numpy, mypy-extensions, marshmallow, typing-inspect, pandas, dataclasses_json, boto3
2025-06-01T22:18:32.8676190Z   Attempting uninstall: python-dateutil
2025-06-01T22:18:32.8679500Z     Found existing installation: python-dateutil 2.9.0.post0
2025-06-01T22:18:32.8697080Z     Uninstalling python-dateutil-2.9.0.post0:
2025-06-01T22:18:32.8704460Z       Successfully uninstalled python-dateutil-2.9.0.post0
2025-06-01T22:18:36.0854700Z   Attempting uninstall: boto3
2025-06-01T22:18:36.0856540Z     Found existing installation: boto3 1.35.33
2025-06-01T22:18:36.0888660Z     Uninstalling boto3-1.35.33:
2025-06-01T22:18:36.0903320Z       Successfully uninstalled boto3-1.35.33
2025-06-01T22:18:36.1324420Z Successfully installed boto3-1.35.42 dataclasses_json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 typing-extensions-4.13.2 typing-inspect-0.9.0 tzdata-2025.2
2025-06-01T22:18:36.7283770Z Command completed after 1 attempt(s).
2025-06-01T22:18:36.7482540Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-06-01T22:18:36.7484010Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-06-01T22:18:36.7484940Z   --workflow-run-id "15379340894" \
2025-06-01T22:18:36.7485570Z   --workflow-name "trunk" \
2025-06-01T22:18:36.7486260Z   --workflow-run-attempt "1" \
2025-06-01T22:18:36.7486940Z   --job-id "43268262760" \
2025-06-01T22:18:36.7487800Z   --job-name "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)" \
2025-06-01T22:18:36.7488800Z   --local-path "usage_log.txt" \
2025-06-01T22:18:36.7490380Z   --artifact-prefix ""
2025-06-01T22:18:36.7556110Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T22:18:36.7557180Z env:
2025-06-01T22:18:36.7557630Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:36.7558390Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:36.7558980Z   TEST_CONFIG: default
2025-06-01T22:18:36.7559490Z   SHARD_NUMBER: 1
2025-06-01T22:18:36.7559910Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:36.7560360Z   PR_BODY: 
2025-06-01T22:18:36.7562140Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:36.7564160Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:36.7565100Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:36.7566140Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:36.7567780Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:36.7570380Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:36.7571810Z ##[endgroup]
2025-06-01T22:18:40.5471450Z repo: pytorch/pytorch
2025-06-01T22:18:40.5471980Z Converted Log Model: UtilizationMetadata:
2025-06-01T22:18:40.5473320Z  UtilizationMetadata(level='metadata', workflow_id='15379340894', job_id='43268262760', workflow_name='trunk', job_name='macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)', usage_collect_interval=1.0, data_model_version=1.0, start_at=1748812046, gpu_count=0, cpu_count=8, gpu_type=None, error=None)
2025-06-01T22:18:40.5474740Z [Db Segments] detected pytest cmd: 14, generated segments: 14
2025-06-01T22:18:40.5475200Z [db model] Peek db timeseries 
2025-06-01T22:18:40.5475620Z :{
2025-06-01T22:18:40.5475880Z     "created_at": 1748816320,
2025-06-01T22:18:40.5476170Z     "type": "utilization",
2025-06-01T22:18:40.5476510Z     "tags": [
2025-06-01T22:18:40.5476760Z         "record"
2025-06-01T22:18:40.5477000Z     ],
2025-06-01T22:18:40.5477250Z     "time_stamp": 1748812046,
2025-06-01T22:18:40.5477580Z     "repo": "pytorch/pytorch",
2025-06-01T22:18:40.5477900Z     "workflow_id": 15379340894,
2025-06-01T22:18:40.5478230Z     "run_attempt": 1,
2025-06-01T22:18:40.5478530Z     "job_id": 43268262760,
2025-06-01T22:18:40.5478830Z     "workflow_name": "trunk",
2025-06-01T22:18:40.5479310Z     "job_name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)",
2025-06-01T22:18:40.5479980Z     "json_data": "{\"cpu\": {\"avg\": 12.8, \"max\": 12.8}, \"memory\": {\"avg\": 31.3, \"max\": 31.3}, \"gpu_usage\": null}"
2025-06-01T22:18:40.5480470Z }
2025-06-01T22:18:40.5481040Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.0/pytorch/pytorch/15379340894/1/43268262760/metadata
2025-06-01T22:18:40.5482000Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.0/pytorch/pytorch/15379340894/1/43268262760/metadata 
2025-06-01T22:18:40.5482970Z Writing 851 documents to S3 ossci-utilization/util_timeseries/v_1.0/pytorch/pytorch/15379340894/1/43268262760/time_series
2025-06-01T22:18:40.5484000Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.0/pytorch/pytorch/15379340894/1/43268262760/time_series 
2025-06-01T22:18:40.6189320Z ##[group]Run pytorch/test-infra/.github/actions/check-disk-space@main
2025-06-01T22:18:40.6189630Z with:
2025-06-01T22:18:40.6189780Z   minimum-available-space-in-gb: 6
2025-06-01T22:18:40.6190010Z env:
2025-06-01T22:18:40.6190140Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:40.6190350Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:40.6190570Z   TEST_CONFIG: default
2025-06-01T22:18:40.6190740Z   SHARD_NUMBER: 1
2025-06-01T22:18:40.6190910Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:40.6191060Z   PR_BODY: 
2025-06-01T22:18:40.6191690Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:40.6192560Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:40.6192940Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:40.6193350Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:40.6193940Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:40.6194710Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:40.6195170Z ##[endgroup]
2025-06-01T22:18:40.6205620Z ##[group]Run echo "Print the available disk space for manual inspection"
2025-06-01T22:18:40.6206040Z echo "Print the available disk space for manual inspection"
2025-06-01T22:18:40.6206300Z df -h
2025-06-01T22:18:40.6206460Z 
2025-06-01T22:18:40.6206620Z function check_disk_space() {
2025-06-01T22:18:40.6206830Z   set +e
2025-06-01T22:18:40.6206980Z 
2025-06-01T22:18:40.6207160Z   # Set the minimum requirement space to 6GB
2025-06-01T22:18:40.6207520Z   MINIMUM_AVAILABLE_SPACE_IN_KB=$(($MINIMUM_AVAILABLE_SPACE_IN_GB * 1024 * 1024))
2025-06-01T22:18:40.6207800Z 
2025-06-01T22:18:40.6208000Z   # Use KB to avoid floating point warning like 3.1GB
2025-06-01T22:18:40.6216580Z   df -k | tr -s ' ' | cut -d' ' -f 4,9 | while read -r LINE;
2025-06-01T22:18:40.6216860Z   do
2025-06-01T22:18:40.6217050Z     AVAIL=$(echo $LINE | cut -f1 -d' ')
2025-06-01T22:18:40.6217320Z     MOUNT=$(echo $LINE | cut -f2 -d' ')
2025-06-01T22:18:40.6217550Z 
2025-06-01T22:18:40.6217710Z     if [ "${MOUNT}" = "/" ]; then
2025-06-01T22:18:40.6218000Z       if [ "${AVAIL}" -lt "${MINIMUM_AVAILABLE_SPACE_IN_KB}" ]; then
2025-06-01T22:18:40.6218580Z         echo "Failure: There is only ${AVAIL}KB free space left in ${MOUNT}, which is less than the minimum requirement of ${MINIMUM_AVAILABLE_SPACE_IN_KB}KB for ${RUNNER_OS}"
2025-06-01T22:18:40.6219050Z       else
2025-06-01T22:18:40.6219360Z         echo "Success: There is ${AVAIL}KB free space left in ${MOUNT} for ${RUNNER_OS}, continue"
2025-06-01T22:18:40.6219680Z       fi
2025-06-01T22:18:40.6219840Z     fi
2025-06-01T22:18:40.6220000Z   done
2025-06-01T22:18:40.6220160Z 
2025-06-01T22:18:40.6220290Z   set -e
2025-06-01T22:18:40.6220460Z }
2025-06-01T22:18:40.6220600Z 
2025-06-01T22:18:40.6220740Z RESULT=$(check_disk_space)
2025-06-01T22:18:40.6220950Z echo "${RESULT}"
2025-06-01T22:18:40.6221110Z 
2025-06-01T22:18:40.6221310Z if [[ "${RESULT}" == *Failure* && "${RUNNER_OS}" == "macOS" ]]; then
2025-06-01T22:18:40.6221830Z   # We can clean up /System/Library/Caches/com.apple.coresymbolicationd on MacOS to free up the space and this should free up enough space
2025-06-01T22:18:40.6222630Z   # https://github.com/pytorch/pytorch/issues/85440
2025-06-01T22:18:40.6223010Z   sudo rm "/System/Library/Caches/com.apple.coresymbolicationd/data" || true
2025-06-01T22:18:40.6223520Z   # Stop the daemon and launchctl will automatically start it again, thus accomplish a restart and free up the above file
2025-06-01T22:18:40.6223980Z   sudo launchctl stop com.apple.coresymbolicationd || true
2025-06-01T22:18:40.6224230Z 
2025-06-01T22:18:40.6224410Z   # Clean up crash reports on the runner
2025-06-01T22:18:40.6224740Z   sudo rm -rf "/System/Volumes/Data/Library/Logs/CrashReporter" || true
2025-06-01T22:18:40.6225000Z 
2025-06-01T22:18:40.6225280Z   # Also try to clean up torch.hub caching directory
2025-06-01T22:18:40.6225600Z   rm -rf "${HOME}/.cache/torch/hub" || true
2025-06-01T22:18:40.6225820Z 
2025-06-01T22:18:40.6225970Z   # Purge conda
2025-06-01T22:18:40.6226170Z   conda clean -p -t -y || true
2025-06-01T22:18:40.6226370Z   # and pip cache
2025-06-01T22:18:40.6226550Z   pip cache purge || true
2025-06-01T22:18:40.6226740Z 
2025-06-01T22:18:40.6226960Z   echo "Re-run disk space check for ${RUNNER_OS} after cleaning up"
2025-06-01T22:18:40.6227230Z   # Re-run the check
2025-06-01T22:18:40.6227430Z   RESULT=$(check_disk_space)
2025-06-01T22:18:40.6227640Z   echo "${RESULT}"
2025-06-01T22:18:40.6227800Z fi
2025-06-01T22:18:40.6227920Z 
2025-06-01T22:18:40.6228080Z if [[ "${RESULT}" == *Failure* ]]; then
2025-06-01T22:18:40.6228290Z   df -h
2025-06-01T22:18:40.6228440Z 
2025-06-01T22:18:40.6228870Z   echo "Please help create an issue to PyTorch Release Engineering via https://github.com/pytorch/test-infra/issues and provide the link to the workflow run."
2025-06-01T22:18:40.6229330Z   exit 1
2025-06-01T22:18:40.6229490Z fi
2025-06-01T22:18:40.6249380Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T22:18:40.6249620Z env:
2025-06-01T22:18:40.6249780Z   GIT_DEFAULT_BRANCH: main
2025-06-01T22:18:40.6250030Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-06-01T22:18:40.6250240Z   TEST_CONFIG: default
2025-06-01T22:18:40.6250400Z   SHARD_NUMBER: 1
2025-06-01T22:18:40.6250550Z   NUM_TEST_SHARDS: 3
2025-06-01T22:18:40.6250720Z   PR_BODY: 
2025-06-01T22:18:40.6251320Z   PATH: /Users/ec2-user/runner/_work/_temp/miniconda/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin:/usr/sbin:/sbin
2025-06-01T22:18:40.6252040Z   CONDA_EXE: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda
2025-06-01T22:18:40.6252390Z   CONDA_ENV: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:40.6252780Z   CONDA_PREFIX: /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:40.6253370Z   CONDA_RUN: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda run -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894 --no-capture-output
2025-06-01T22:18:40.6254120Z   CONDA_INSTALL: /Users/ec2-user/runner/_work/_temp/miniconda/bin/conda install --yes --quiet -p /Users/ec2-user/runner/_work/_temp/conda_environment_15379340894
2025-06-01T22:18:40.6254620Z   MINIMUM_AVAILABLE_SPACE_IN_GB: 6
2025-06-01T22:18:40.6254890Z ##[endgroup]
2025-06-01T22:18:40.6486720Z Print the available disk space for manual inspection
2025-06-01T22:18:40.6555530Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-06-01T22:18:40.6555980Z /dev/disk5s2s1   256Gi   9.5Gi   144Gi     7%    404k  1.5G    0%   /
2025-06-01T22:18:40.6556350Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-06-01T22:18:40.6556740Z /dev/disk5s5     256Gi   2.0Gi   144Gi     2%       2  1.5G    0%   /System/Volumes/VM
2025-06-01T22:18:40.6557470Z /dev/disk5s3     256Gi   5.7Gi   144Gi     4%    1.0k  1.5G    0%   /System/Volumes/Preboot
2025-06-01T22:18:40.6557880Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-06-01T22:18:40.6558320Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-06-01T22:18:40.6558760Z /dev/disk1s3     500Mi   884Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-06-01T22:18:40.6559150Z /dev/disk5s1     256Gi    94Gi   144Gi    40%    6.0M  1.5G    0%   /System/Volumes/Data
2025-06-01T22:18:40.6559550Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-06-01T22:18:40.6559970Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-mRkKbB
2025-06-01T22:18:40.6987970Z Success: There is 151056356KB free space left in / for macOS, continue
2025-06-01T22:18:40.7087660Z Post job cleanup.
2025-06-01T22:18:40.8303340Z Post job cleanup.
2025-06-01T22:18:40.9731840Z Cache hit occurred on the primary key miniconda-env-macOS-ARM64-3.12.7--20250601d-a8f30617a7f62772164c7c91c39ee9a585b628d3aad48bfb3bf3ec5c5df7f5eb-dfe02fdbcd2763a130ed0bc37d2567ec0fda7b3f7281f2d3e267bfd158c30cd9, not saving cache.
2025-06-01T22:18:40.9774480Z Post job cleanup.
2025-06-01T22:18:41.0703070Z Cache hit occurred on the primary key miniconda-24.7.1-0-macOS-ARM64-3.12.7--20250601d, not saving cache.
2025-06-01T22:18:41.0809720Z Post job cleanup.
2025-06-01T22:18:41.0867870Z Post job cleanup.
2025-06-01T22:18:41.1710970Z [command]/usr/bin/git version
2025-06-01T22:18:41.1777480Z git version 2.39.3 (Apple Git-146)
2025-06-01T22:18:41.1796600Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/be231a61-12b1-4cd8-99c7-0e482e327cf1/.gitconfig'
2025-06-01T22:18:41.1806020Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/be231a61-12b1-4cd8-99c7-0e482e327cf1' before making global git config changes
2025-06-01T22:18:41.1806660Z Adding repository directory to the temporary git global config as a safe directory
2025-06-01T22:18:41.1808940Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/pytorch/pytorch
2025-06-01T22:18:41.1887740Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-06-01T22:18:41.1960130Z [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' || :"
2025-06-01T22:18:41.3042770Z Entering 'android/libs/fbjni'
2025-06-01T22:18:41.3153160Z Entering 'third_party/FP16'
2025-06-01T22:18:41.3271480Z Entering 'third_party/FXdiv'
2025-06-01T22:18:41.3377220Z Entering 'third_party/NNPACK'
2025-06-01T22:18:41.3486870Z Entering 'third_party/NVTX'
2025-06-01T22:18:41.3587550Z Entering 'third_party/VulkanMemoryAllocator'
2025-06-01T22:18:41.3688270Z Entering 'third_party/XNNPACK'
2025-06-01T22:18:41.3903190Z Entering 'third_party/benchmark'
2025-06-01T22:18:41.4014540Z Entering 'third_party/composable_kernel'
2025-06-01T22:18:41.4116950Z Entering 'third_party/cpp-httplib'
2025-06-01T22:18:41.4216530Z Entering 'third_party/cpuinfo'
2025-06-01T22:18:41.4333030Z Entering 'third_party/cudnn_frontend'
2025-06-01T22:18:41.4439220Z Entering 'third_party/cutlass'
2025-06-01T22:18:41.4545660Z Entering 'third_party/eigen'
2025-06-01T22:18:41.4700130Z Entering 'third_party/fbgemm'
2025-06-01T22:18:41.4899020Z Entering 'third_party/fbgemm/external/asmjit'
2025-06-01T22:18:41.5071580Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-06-01T22:18:41.5341240Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-06-01T22:18:41.5502370Z Entering 'third_party/fbgemm/external/cutlass'
2025-06-01T22:18:41.5750040Z Entering 'third_party/fbgemm/external/googletest'
2025-06-01T22:18:41.5896600Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-06-01T22:18:41.6033450Z Entering 'third_party/fbgemm/external/json'
2025-06-01T22:18:41.6163050Z Entering 'third_party/flash-attention'
2025-06-01T22:18:41.6262980Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-06-01T22:18:41.6364990Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-06-01T22:18:41.6470290Z Entering 'third_party/flatbuffers'
2025-06-01T22:18:41.6574070Z Entering 'third_party/fmt'
2025-06-01T22:18:41.6681890Z Entering 'third_party/gemmlowp/gemmlowp'
2025-06-01T22:18:41.6803900Z Entering 'third_party/gloo'
2025-06-01T22:18:41.6913270Z Entering 'third_party/googletest'
2025-06-01T22:18:41.7022430Z Entering 'third_party/ideep'
2025-06-01T22:18:41.7149250Z Entering 'third_party/ideep/mkl-dnn'
2025-06-01T22:18:41.7339460Z Entering 'third_party/ittapi'
2025-06-01T22:18:41.7441320Z Entering 'third_party/kineto'
2025-06-01T22:18:41.7540090Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-06-01T22:18:41.7639580Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-06-01T22:18:41.7739300Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-06-01T22:18:41.7839300Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-06-01T22:18:41.7939520Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-06-01T22:18:41.8038060Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-06-01T22:18:41.8140630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-06-01T22:18:41.8239920Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-06-01T22:18:41.8340880Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-06-01T22:18:41.8440390Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-06-01T22:18:41.8541280Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-06-01T22:18:41.8640910Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-06-01T22:18:41.8741450Z Entering 'third_party/kleidiai'
2025-06-01T22:18:41.8840610Z Entering 'third_party/mimalloc'
2025-06-01T22:18:41.8940090Z Entering 'third_party/nlohmann'
2025-06-01T22:18:41.9041360Z Entering 'third_party/onnx'
2025-06-01T22:18:41.9405350Z Entering 'third_party/onnx/third_party/pybind11'
2025-06-01T22:18:41.9526640Z Entering 'third_party/opentelemetry-cpp'
2025-06-01T22:18:41.9627260Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-06-01T22:18:41.9728210Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-06-01T22:18:41.9829060Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-06-01T22:18:41.9927420Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-06-01T22:18:42.0026170Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-06-01T22:18:42.0124440Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-06-01T22:18:42.0223730Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-06-01T22:18:42.0320300Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-06-01T22:18:42.0419710Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-06-01T22:18:42.0520190Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-06-01T22:18:42.0627670Z Entering 'third_party/pocketfft'
2025-06-01T22:18:42.0727530Z Entering 'third_party/protobuf'
2025-06-01T22:18:42.0932090Z Entering 'third_party/protobuf/third_party/benchmark'
2025-06-01T22:18:42.1069330Z Entering 'third_party/protobuf/third_party/googletest'
2025-06-01T22:18:42.1199990Z Entering 'third_party/psimd'
2025-06-01T22:18:42.1308370Z Entering 'third_party/pthreadpool'
2025-06-01T22:18:42.1412240Z Entering 'third_party/pybind11'
2025-06-01T22:18:42.1524370Z Entering 'third_party/python-peachpy'
2025-06-01T22:18:42.1632420Z Entering 'third_party/sleef'
2025-06-01T22:18:42.1744380Z Entering 'third_party/tensorpipe'
2025-06-01T22:18:42.1900100Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-06-01T22:18:42.2066700Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-06-01T22:18:42.2209180Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-06-01T22:18:42.2352340Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-06-01T22:18:42.2512410Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-06-01T22:18:42.2642440Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-06-01T22:18:42.2700320Z http.https://github.com/.extraheader
2025-06-01T22:18:42.2708110Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-06-01T22:18:42.2792770Z [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' || :"
2025-06-01T22:18:42.3284720Z Entering 'android/libs/fbjni'
2025-06-01T22:18:42.3353650Z http.https://github.com/.extraheader
2025-06-01T22:18:42.3421230Z Entering 'third_party/FP16'
2025-06-01T22:18:42.3487550Z http.https://github.com/.extraheader
2025-06-01T22:18:42.3554790Z Entering 'third_party/FXdiv'
2025-06-01T22:18:42.3620530Z http.https://github.com/.extraheader
2025-06-01T22:18:42.3687480Z Entering 'third_party/NNPACK'
2025-06-01T22:18:42.3753740Z http.https://github.com/.extraheader
2025-06-01T22:18:42.3820520Z Entering 'third_party/NVTX'
2025-06-01T22:18:42.3887770Z http.https://github.com/.extraheader
2025-06-01T22:18:42.3955520Z Entering 'third_party/VulkanMemoryAllocator'
2025-06-01T22:18:42.4022430Z http.https://github.com/.extraheader
2025-06-01T22:18:42.4089240Z Entering 'third_party/XNNPACK'
2025-06-01T22:18:42.4155880Z http.https://github.com/.extraheader
2025-06-01T22:18:42.4228630Z Entering 'third_party/benchmark'
2025-06-01T22:18:42.4296280Z http.https://github.com/.extraheader
2025-06-01T22:18:42.4363850Z Entering 'third_party/composable_kernel'
2025-06-01T22:18:42.4430100Z http.https://github.com/.extraheader
2025-06-01T22:18:42.4499410Z Entering 'third_party/cpp-httplib'
2025-06-01T22:18:42.4566280Z http.https://github.com/.extraheader
2025-06-01T22:18:42.4633040Z Entering 'third_party/cpuinfo'
2025-06-01T22:18:42.4699150Z http.https://github.com/.extraheader
2025-06-01T22:18:42.4765420Z Entering 'third_party/cudnn_frontend'
2025-06-01T22:18:42.4830620Z http.https://github.com/.extraheader
2025-06-01T22:18:42.4895920Z Entering 'third_party/cutlass'
2025-06-01T22:18:42.4961170Z http.https://github.com/.extraheader
2025-06-01T22:18:42.5029830Z Entering 'third_party/eigen'
2025-06-01T22:18:42.5096010Z http.https://github.com/.extraheader
2025-06-01T22:18:42.5163300Z Entering 'third_party/fbgemm'
2025-06-01T22:18:42.5229500Z http.https://github.com/.extraheader
2025-06-01T22:18:42.5294470Z Entering 'third_party/fbgemm/external/asmjit'
2025-06-01T22:18:42.5360040Z http.https://github.com/.extraheader
2025-06-01T22:18:42.5425590Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-06-01T22:18:42.5490680Z http.https://github.com/.extraheader
2025-06-01T22:18:42.5558670Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-06-01T22:18:42.5623990Z http.https://github.com/.extraheader
2025-06-01T22:18:42.5690360Z Entering 'third_party/fbgemm/external/cutlass'
2025-06-01T22:18:42.5756210Z http.https://github.com/.extraheader
2025-06-01T22:18:42.5825560Z Entering 'third_party/fbgemm/external/googletest'
2025-06-01T22:18:42.5892260Z http.https://github.com/.extraheader
2025-06-01T22:18:42.5959750Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-06-01T22:18:42.6024980Z http.https://github.com/.extraheader
2025-06-01T22:18:42.6090880Z Entering 'third_party/fbgemm/external/json'
2025-06-01T22:18:42.6158140Z http.https://github.com/.extraheader
2025-06-01T22:18:42.6227220Z Entering 'third_party/flash-attention'
2025-06-01T22:18:42.6294840Z http.https://github.com/.extraheader
2025-06-01T22:18:42.6360990Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-06-01T22:18:42.6427560Z http.https://github.com/.extraheader
2025-06-01T22:18:42.6497800Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-06-01T22:18:42.6564820Z http.https://github.com/.extraheader
2025-06-01T22:18:42.6636230Z Entering 'third_party/flatbuffers'
2025-06-01T22:18:42.6704470Z http.https://github.com/.extraheader
2025-06-01T22:18:42.6772820Z Entering 'third_party/fmt'
2025-06-01T22:18:42.6838870Z http.https://github.com/.extraheader
2025-06-01T22:18:42.6904660Z Entering 'third_party/gemmlowp/gemmlowp'
2025-06-01T22:18:42.6970980Z http.https://github.com/.extraheader
2025-06-01T22:18:42.7036830Z Entering 'third_party/gloo'
2025-06-01T22:18:42.7102380Z http.https://github.com/.extraheader
2025-06-01T22:18:42.7168600Z Entering 'third_party/googletest'
2025-06-01T22:18:42.7233630Z http.https://github.com/.extraheader
2025-06-01T22:18:42.7299420Z Entering 'third_party/ideep'
2025-06-01T22:18:42.7365370Z http.https://github.com/.extraheader
2025-06-01T22:18:42.7429570Z Entering 'third_party/ideep/mkl-dnn'
2025-06-01T22:18:42.7493940Z http.https://github.com/.extraheader
2025-06-01T22:18:42.7564070Z Entering 'third_party/ittapi'
2025-06-01T22:18:42.7630400Z http.https://github.com/.extraheader
2025-06-01T22:18:42.7696630Z Entering 'third_party/kineto'
2025-06-01T22:18:42.7761910Z http.https://github.com/.extraheader
2025-06-01T22:18:42.7828520Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-06-01T22:18:42.7895110Z http.https://github.com/.extraheader
2025-06-01T22:18:42.7961410Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-06-01T22:18:42.8027550Z http.https://github.com/.extraheader
2025-06-01T22:18:42.8096110Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-06-01T22:18:42.8163110Z http.https://github.com/.extraheader
2025-06-01T22:18:42.8229800Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-06-01T22:18:42.8297240Z http.https://github.com/.extraheader
2025-06-01T22:18:42.8363640Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-06-01T22:18:42.8431050Z http.https://github.com/.extraheader
2025-06-01T22:18:42.8496530Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-06-01T22:18:42.8561950Z http.https://github.com/.extraheader
2025-06-01T22:18:42.8630930Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-06-01T22:18:42.8696750Z http.https://github.com/.extraheader
2025-06-01T22:18:42.8763320Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-06-01T22:18:42.8829060Z http.https://github.com/.extraheader
2025-06-01T22:18:42.8896940Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-06-01T22:18:42.8963540Z http.https://github.com/.extraheader
2025-06-01T22:18:42.9031360Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-06-01T22:18:42.9096330Z http.https://github.com/.extraheader
2025-06-01T22:18:42.9165070Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-06-01T22:18:42.9231740Z http.https://github.com/.extraheader
2025-06-01T22:18:42.9297660Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-06-01T22:18:42.9363570Z http.https://github.com/.extraheader
2025-06-01T22:18:42.9433460Z Entering 'third_party/kleidiai'
2025-06-01T22:18:42.9499480Z http.https://github.com/.extraheader
2025-06-01T22:18:42.9565090Z Entering 'third_party/mimalloc'
2025-06-01T22:18:42.9630690Z http.https://github.com/.extraheader
2025-06-01T22:18:42.9697250Z Entering 'third_party/nlohmann'
2025-06-01T22:18:42.9762730Z http.https://github.com/.extraheader
2025-06-01T22:18:42.9828760Z Entering 'third_party/onnx'
2025-06-01T22:18:42.9895130Z http.https://github.com/.extraheader
2025-06-01T22:18:42.9966020Z Entering 'third_party/onnx/third_party/pybind11'
2025-06-01T22:18:43.0034550Z http.https://github.com/.extraheader
2025-06-01T22:18:43.0104250Z Entering 'third_party/opentelemetry-cpp'
2025-06-01T22:18:43.0169960Z http.https://github.com/.extraheader
2025-06-01T22:18:43.0235550Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-06-01T22:18:43.0300980Z http.https://github.com/.extraheader
2025-06-01T22:18:43.0366680Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-06-01T22:18:43.0431900Z http.https://github.com/.extraheader
2025-06-01T22:18:43.0498490Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-06-01T22:18:43.0563930Z http.https://github.com/.extraheader
2025-06-01T22:18:43.0630020Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-06-01T22:18:43.0694730Z http.https://github.com/.extraheader
2025-06-01T22:18:43.0760380Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-06-01T22:18:43.0825390Z http.https://github.com/.extraheader
2025-06-01T22:18:43.0891420Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-06-01T22:18:43.0956160Z http.https://github.com/.extraheader
2025-06-01T22:18:43.1022770Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-06-01T22:18:43.1088590Z http.https://github.com/.extraheader
2025-06-01T22:18:43.1154570Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-06-01T22:18:43.1220850Z http.https://github.com/.extraheader
2025-06-01T22:18:43.1289200Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-06-01T22:18:43.1355440Z http.https://github.com/.extraheader
2025-06-01T22:18:43.1425530Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-06-01T22:18:43.1493150Z http.https://github.com/.extraheader
2025-06-01T22:18:43.1570040Z Entering 'third_party/pocketfft'
2025-06-01T22:18:43.1639070Z http.https://github.com/.extraheader
2025-06-01T22:18:43.1707110Z Entering 'third_party/protobuf'
2025-06-01T22:18:43.1773550Z http.https://github.com/.extraheader
2025-06-01T22:18:43.1839550Z Entering 'third_party/protobuf/third_party/benchmark'
2025-06-01T22:18:43.1906380Z http.https://github.com/.extraheader
2025-06-01T22:18:43.1972410Z Entering 'third_party/protobuf/third_party/googletest'
2025-06-01T22:18:43.2038800Z http.https://github.com/.extraheader
2025-06-01T22:18:43.2107590Z Entering 'third_party/psimd'
2025-06-01T22:18:43.2174370Z http.https://github.com/.extraheader
2025-06-01T22:18:43.2241570Z Entering 'third_party/pthreadpool'
2025-06-01T22:18:43.2307970Z http.https://github.com/.extraheader
2025-06-01T22:18:43.2374750Z Entering 'third_party/pybind11'
2025-06-01T22:18:43.2440710Z http.https://github.com/.extraheader
2025-06-01T22:18:43.2507770Z Entering 'third_party/python-peachpy'
2025-06-01T22:18:43.2574350Z http.https://github.com/.extraheader
2025-06-01T22:18:43.2642600Z Entering 'third_party/sleef'
2025-06-01T22:18:43.2709770Z http.https://github.com/.extraheader
2025-06-01T22:18:43.2776400Z Entering 'third_party/tensorpipe'
2025-06-01T22:18:43.2841540Z http.https://github.com/.extraheader
2025-06-01T22:18:43.2906560Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-06-01T22:18:43.2971180Z http.https://github.com/.extraheader
2025-06-01T22:18:43.3037040Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-06-01T22:18:43.3102320Z http.https://github.com/.extraheader
2025-06-01T22:18:43.3168660Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-06-01T22:18:43.3234630Z http.https://github.com/.extraheader
2025-06-01T22:18:43.3301450Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-06-01T22:18:43.3367480Z http.https://github.com/.extraheader
2025-06-01T22:18:43.3432080Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-06-01T22:18:43.3496390Z http.https://github.com/.extraheader
2025-06-01T22:18:43.3644930Z A job completed hook has been configured by the self-hosted runner administrator
2025-06-01T22:18:43.3690970Z ##[group]Run '/opt/runner_scripts/post-job.sh'
2025-06-01T22:18:43.3705760Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-01T22:18:43.3705990Z ##[endgroup]
2025-06-01T22:18:43.4012700Z + df -h
2025-06-01T22:18:43.4033310Z + ls -t /var/log/post_job
2025-06-01T22:18:43.4033860Z + awk 'NR>100'
2025-06-01T22:18:43.4034320Z + xargs rm -fv
2025-06-01T22:18:44.0166370Z + Checking if runner needs to be terminated...ok
2025-06-01T22:18:44.0166680Z + Outputting disk space
2025-06-01T22:18:44.0166960Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-06-01T22:18:44.0167380Z /dev/disk5s2s1   256Gi   9.5Gi   144Gi     7%    404k  1.5G    0%   /
2025-06-01T22:18:44.0167750Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-06-01T22:18:44.0168180Z /dev/disk5s5     256Gi   2.0Gi   144Gi     2%       2  1.5G    0%   /System/Volumes/VM
2025-06-01T22:18:44.0168610Z /dev/disk5s3     256Gi   5.7Gi   144Gi     4%    1.0k  1.5G    0%   /System/Volumes/Preboot
2025-06-01T22:18:44.0169240Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-06-01T22:18:44.0169650Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-06-01T22:18:44.0170040Z /dev/disk1s3     500Mi   884Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-06-01T22:18:44.0170450Z /dev/disk5s1     256Gi    94Gi   144Gi    40%    6.0M  1.5G    0%   /System/Volumes/Data
2025-06-01T22:18:44.0170860Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-06-01T22:18:44.0171260Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-mRkKbB
2025-06-01T22:18:44.0171630Z + Cleaning up old logs (Keep the latest 100)
2025-06-01T22:18:44.0374260Z + Restoring SSH key to be the skeleton key
2025-06-01T22:18:44.0475610Z Cleaning up orphan processes